[Libreoffice-commits] core.git: sc/inc
Eike Rathke
erack at redhat.com
Fri Sep 1 12:16:42 UTC 2017
sc/inc/scfuncs.hrc | 1038 ++++++++++++++++++++++++++---------------------------
1 file changed, 519 insertions(+), 519 deletions(-)
New commits:
commit 029f2fdc2a164ca5ab2ecb9e2d4b9cf5112083b4
Author: Eike Rathke <erack at redhat.com>
Date: Fri Sep 1 14:15:46 2017 +0200
Harmonize capitalization of spreadsheet function UI parameter names
Also remove _ underscores in names and few better suiting renaming.
Change-Id: Ic0b48f98c0b07404f3e0981d95fa5f3e5aa828f5
diff --git a/sc/inc/scfuncs.hrc b/sc/inc/scfuncs.hrc
index b1b64d24dd09..b3a231f6f600 100644
--- a/sc/inc/scfuncs.hrc
+++ b/sc/inc/scfuncs.hrc
@@ -179,11 +179,11 @@ const char* SC_OPCODE_DB_VAR_P_ARY[] =
const char* SC_OPCODE_GET_DATE_ARY[] =
{
NC_("SC_OPCODE_GET_DATE", "Provides an internal number for the date given."),
- NC_("SC_OPCODE_GET_DATE", "year"),
+ NC_("SC_OPCODE_GET_DATE", "Year"),
NC_("SC_OPCODE_GET_DATE", "An integer between 1583 and 9956 or 0 and 99 (19xx or 20xx depending on the defined option)."),
- NC_("SC_OPCODE_GET_DATE", "month"),
+ NC_("SC_OPCODE_GET_DATE", "Month"),
NC_("SC_OPCODE_GET_DATE", "An integer between 1 and 12 representing the month."),
- NC_("SC_OPCODE_GET_DATE", "day"),
+ NC_("SC_OPCODE_GET_DATE", "Day"),
NC_("SC_OPCODE_GET_DATE", "An integer between 1 and 31 representing the day of the month.")
};
@@ -191,7 +191,7 @@ const char* SC_OPCODE_GET_DATE_ARY[] =
const char* SC_OPCODE_GET_DATE_VALUE_ARY[] =
{
NC_("SC_OPCODE_GET_DATE_VALUE", "Returns an internal number for a text having a possible date format."),
- NC_("SC_OPCODE_GET_DATE_VALUE", "text"),
+ NC_("SC_OPCODE_GET_DATE_VALUE", "Text"),
NC_("SC_OPCODE_GET_DATE_VALUE", "A text enclosed in quotation marks which returns a date in a %PRODUCTNAME date format.")
};
@@ -207,9 +207,9 @@ const char* SC_OPCODE_GET_DAY_ARY[] =
const char* SC_OPCODE_GET_DIFF_DATE_360_ARY[] =
{
NC_("SC_OPCODE_GET_DIFF_DATE_360", "Calculates the number of days between two dates based on a 360-day year."),
- NC_("SC_OPCODE_GET_DIFF_DATE_360", "Date_1"),
+ NC_("SC_OPCODE_GET_DIFF_DATE_360", "Date 1"),
NC_("SC_OPCODE_GET_DIFF_DATE_360", "The start date for calculating the difference in days."),
- NC_("SC_OPCODE_GET_DIFF_DATE_360", "Date_2"),
+ NC_("SC_OPCODE_GET_DIFF_DATE_360", "Date 2"),
NC_("SC_OPCODE_GET_DIFF_DATE_360", "The end date for calculating the difference in days."),
NC_("SC_OPCODE_GET_DIFF_DATE_360", "Type"),
NC_("SC_OPCODE_GET_DIFF_DATE_360", "Method used to form differences: Type = 0 denotes US method (NASD), Type = 1 denotes the European method.")
@@ -219,13 +219,13 @@ const char* SC_OPCODE_GET_DIFF_DATE_360_ARY[] =
const char* SC_OPCODE_NETWORKDAYS_ARY[] =
{
NC_("SC_OPCODE_NETWORKDAYS", "Returns the number of workdays between two dates using arguments to indicate weekenddays and holidays."),
- NC_("SC_OPCODE_NETWORKDAYS", "Start Date"),
+ NC_("SC_OPCODE_NETWORKDAYS", "Start date"),
NC_("SC_OPCODE_NETWORKDAYS", "Start date for calculation."),
- NC_("SC_OPCODE_NETWORKDAYS", "End Date"),
+ NC_("SC_OPCODE_NETWORKDAYS", "End date"),
NC_("SC_OPCODE_NETWORKDAYS", "End date for calculation."),
- NC_("SC_OPCODE_NETWORKDAYS", "list of dates"),
+ NC_("SC_OPCODE_NETWORKDAYS", "List of dates"),
NC_("SC_OPCODE_NETWORKDAYS", "Optional set of one or more dates to be considered as holiday."),
- NC_("SC_OPCODE_NETWORKDAYS", "array"),
+ NC_("SC_OPCODE_NETWORKDAYS", "Array"),
NC_("SC_OPCODE_NETWORKDAYS", "Optional list of numbers to indicate working (0) and weekend (non-zero) days. When omitted, weekend is Saturday and Sunday.")
};
@@ -233,13 +233,13 @@ const char* SC_OPCODE_NETWORKDAYS_ARY[] =
const char* SC_OPCODE_NETWORKDAYS_MS_ARY[] =
{
NC_("SC_OPCODE_NETWORKDAYS_MS", "Returns the number of workdays between two dates using arguments to indicate weekend days and holidays."),
- NC_("SC_OPCODE_NETWORKDAYS_MS", "Start Date"),
+ NC_("SC_OPCODE_NETWORKDAYS_MS", "Start date"),
NC_("SC_OPCODE_NETWORKDAYS_MS", "Start date for calculation."),
- NC_("SC_OPCODE_NETWORKDAYS_MS", "End Date"),
+ NC_("SC_OPCODE_NETWORKDAYS_MS", "End date"),
NC_("SC_OPCODE_NETWORKDAYS_MS", "End date for calculation."),
- NC_("SC_OPCODE_NETWORKDAYS_MS", "number or string"),
+ NC_("SC_OPCODE_NETWORKDAYS_MS", "Number or string"),
NC_("SC_OPCODE_NETWORKDAYS_MS", "Optional number or string to indicate when weekends occur. When omitted, weekend is Saturday and Sunday."),
- NC_("SC_OPCODE_NETWORKDAYS_MS", "array"),
+ NC_("SC_OPCODE_NETWORKDAYS_MS", "Array"),
NC_("SC_OPCODE_NETWORKDAYS_MS", "Optional set of one or more dates to be considered as holiday.")
};
@@ -247,13 +247,13 @@ const char* SC_OPCODE_NETWORKDAYS_MS_ARY[] =
const char* SC_OPCODE_WORKDAY_MS_ARY[] =
{
NC_("SC_OPCODE_WORKDAY_MS", "Returns the serial number of the date before or after a number of workdays using arguments to indicate weekend days and holidays."),
- NC_("SC_OPCODE_WORKDAY_MS", "Start Date"),
+ NC_("SC_OPCODE_WORKDAY_MS", "Start date"),
NC_("SC_OPCODE_WORKDAY_MS", "Start date for calculation."),
NC_("SC_OPCODE_WORKDAY_MS", "Days"),
NC_("SC_OPCODE_WORKDAY_MS", "The number of workdays before or after start date."),
- NC_("SC_OPCODE_WORKDAY_MS", "number or string"),
+ NC_("SC_OPCODE_WORKDAY_MS", "Number or string"),
NC_("SC_OPCODE_WORKDAY_MS", "Optional number or string to indicate when weekends occur. When omitted, weekend is Saturday and Sunday."),
- NC_("SC_OPCODE_WORKDAY_MS", "array"),
+ NC_("SC_OPCODE_WORKDAY_MS", "Array"),
NC_("SC_OPCODE_WORKDAY_MS", "Optional set of one or more dates to be considered as holiday.")
};
@@ -299,11 +299,11 @@ const char*SC_OPCODE_GET_SEC_ARY[] =
const char* SC_OPCODE_GET_TIME_ARY[] =
{
NC_("SC_OPCODE_GET_TIME", "Determines a time value from the details for hour, minute and second."),
- NC_("SC_OPCODE_GET_TIME", "hour"),
+ NC_("SC_OPCODE_GET_TIME", "Hour"),
NC_("SC_OPCODE_GET_TIME", "The integer for the hour."),
- NC_("SC_OPCODE_GET_TIME", "minute"),
+ NC_("SC_OPCODE_GET_TIME", "Minute"),
NC_("SC_OPCODE_GET_TIME", "The integer for the minute."),
- NC_("SC_OPCODE_GET_TIME", "second"),
+ NC_("SC_OPCODE_GET_TIME", "Second"),
NC_("SC_OPCODE_GET_TIME", "The integer for the second.")
};
@@ -311,7 +311,7 @@ const char* SC_OPCODE_GET_TIME_ARY[] =
const char* SC_OPCODE_GET_TIME_VALUE_ARY[] =
{
NC_("SC_OPCODE_GET_TIME_VALUE", "Returns a sequential number for a text shown in a possible time entry format."),
- NC_("SC_OPCODE_GET_TIME_VALUE", "text"),
+ NC_("SC_OPCODE_GET_TIME_VALUE", "Text"),
NC_("SC_OPCODE_GET_TIME_VALUE", "A text enclosed in quotation marks which returns a time in a %PRODUCTNAME time format.")
};
@@ -343,9 +343,9 @@ const char* SC_OPCODE_GET_YEAR_ARY[] =
const char* SC_OPCODE_GET_DIFF_DATE_ARY[] =
{
NC_("SC_OPCODE_GET_DIFF_DATE", "Calculates the number of days between two dates."),
- NC_("SC_OPCODE_GET_DIFF_DATE", "Date_2"),
+ NC_("SC_OPCODE_GET_DIFF_DATE", "Date 2"),
NC_("SC_OPCODE_GET_DIFF_DATE", "The end date for calculating the difference in days."),
- NC_("SC_OPCODE_GET_DIFF_DATE", "Date_1"),
+ NC_("SC_OPCODE_GET_DIFF_DATE", "Date 1"),
NC_("SC_OPCODE_GET_DIFF_DATE", "The start date for calculating the difference in days.")
};
@@ -367,7 +367,7 @@ const char* SC_OPCODE_WEEK_ARY[] =
NC_("SC_OPCODE_WEEK", "Calculates the calendar week corresponding to the given date."),
NC_("SC_OPCODE_WEEK", "Number"),
NC_("SC_OPCODE_WEEK", "The internal number of the date."),
- NC_("SC_OPCODE_WEEK", "mode"),
+ NC_("SC_OPCODE_WEEK", "Mode"),
NC_("SC_OPCODE_WEEK", "Indicates the first day of the week and when week 1 starts.")
};
@@ -384,7 +384,7 @@ const char* SC_OPCODE_WEEKNUM_OOO_ARY[] =
NC_("SC_OPCODE_WEEKNUM_OOO", "Calculates the calendar week corresponding to the given date.\nThis function only provides interoperability with %PRODUCTNAME 5.0 and earlier and OpenOffice.org."),
NC_("SC_OPCODE_WEEKNUM_OOO", "Number"),
NC_("SC_OPCODE_WEEKNUM_OOO", "The internal number of the date."),
- NC_("SC_OPCODE_WEEKNUM_OOO", "mode"),
+ NC_("SC_OPCODE_WEEKNUM_OOO", "Mode"),
NC_("SC_OPCODE_WEEKNUM_OOO", "Indicates the first day of the week (1 = Sunday, other values = Monday).")
};
@@ -392,7 +392,7 @@ const char* SC_OPCODE_WEEKNUM_OOO_ARY[] =
const char* SC_OPCODE_EASTERSUNDAY_ARY[] =
{
NC_("SC_OPCODE_EASTERSUNDAY", "Calculates the date of Easter Sunday in a given year."),
- NC_("SC_OPCODE_EASTERSUNDAY", "year"),
+ NC_("SC_OPCODE_EASTERSUNDAY", "Year"),
NC_("SC_OPCODE_EASTERSUNDAY", "An integer between 1583 and 9956, or 0 and 99 (19xx or 20xx depending on the option set).")
};
@@ -488,7 +488,7 @@ const char* SC_OPCODE_IPMT_ARY[] =
NC_("SC_OPCODE_IPMT", "Periods. The periods for which the compounded interest is to be calculated. P = 1 denotes for the first period, P = NPER for the last one."),
NC_("SC_OPCODE_IPMT", "NPER"),
NC_("SC_OPCODE_IPMT", "Payment period. The total number of periods in which the annuity (pension) is paid."),
- NC_("SC_OPCODE_IPMT", "pv"),
+ NC_("SC_OPCODE_IPMT", "PV"),
NC_("SC_OPCODE_IPMT", "Present value. The current value of a series of payments"),
NC_("SC_OPCODE_IPMT", "FV"),
NC_("SC_OPCODE_IPMT", "Future value. The value (end value) to be attained after the final payment."),
@@ -517,7 +517,7 @@ const char* SC_OPCODE_PPMT_ARY[] =
// -=*# Resource for function CUMPRINC #*=-
const char* SC_OPCODE_CUM_PRINC_ARY[] =
{
- NC_("SC_OPCODE_CUM_PRINC", "Cumulative Capital. Calculates the total amount of the repayment share in a period for an investment with constant interest rate."),
+ NC_("SC_OPCODE_CUM_PRINC", "Cumulative capital. Calculates the total amount of the repayment share in a period for an investment with constant interest rate."),
NC_("SC_OPCODE_CUM_PRINC", "Rate"),
NC_("SC_OPCODE_CUM_PRINC", "The rate of interest per period."),
NC_("SC_OPCODE_CUM_PRINC", "NPER"),
@@ -540,7 +540,7 @@ const char* SC_OPCODE_CUM_IPMT_ARY[] =
NC_("SC_OPCODE_CUM_IPMT", "The rate of interest per period."),
NC_("SC_OPCODE_CUM_IPMT", "NPER"),
NC_("SC_OPCODE_CUM_IPMT", "Payment period. The total number of periods in which the annuity (pension) is paid."),
- NC_("SC_OPCODE_CUM_IPMT", "pv"),
+ NC_("SC_OPCODE_CUM_IPMT", "PV"),
NC_("SC_OPCODE_CUM_IPMT", "The present value. The present value or the amount the annuity is currently worth."),
NC_("SC_OPCODE_CUM_IPMT", "S"),
NC_("SC_OPCODE_CUM_IPMT", "The start period. The first period to be taken into account. S = 1 denotes the very first period."),
@@ -604,7 +604,7 @@ const char* SC_OPCODE_DB_ARY[] =
NC_("SC_OPCODE_DB", "Useful life. The number of periods in the useful life of the asset."),
NC_("SC_OPCODE_DB", "Period"),
NC_("SC_OPCODE_DB", "Periods: The period for which the depreciation is calculated. The time unit used for period must be the same as that for the useful life."),
- NC_("SC_OPCODE_DB", "month"),
+ NC_("SC_OPCODE_DB", "Month"),
NC_("SC_OPCODE_DB", "Months: The number of months in the first year of depreciation.")
};
@@ -618,12 +618,12 @@ const char* SC_OPCODE_VBD_ARY[] =
NC_("SC_OPCODE_VBD", "Salvage. The salvage value of an asset at the end of its useful life."),
NC_("SC_OPCODE_VBD", "Life"),
NC_("SC_OPCODE_VBD", "Useful life. The number of periods in the useful life of the asset."),
- NC_("SC_OPCODE_VBD", "S"),
+ NC_("SC_OPCODE_VBD", "Start"),
NC_("SC_OPCODE_VBD", "Start. The first period for depreciation in the same time unit as the useful life."),
- NC_("SC_OPCODE_VBD", "end"),
+ NC_("SC_OPCODE_VBD", "End"),
NC_("SC_OPCODE_VBD", "End. The last period of the depreciation using the same time unit as for the useful life."),
NC_("SC_OPCODE_VBD", "Factor"),
- NC_("SC_OPCODE_VBD", "Factor. The factor for the reduction of the depreciation. F = 2 denotes double rate depreciation."),
+ NC_("SC_OPCODE_VBD", "Factor. The factor for the reduction of the depreciation. Factor = 2 denotes double rate depreciation."),
NC_("SC_OPCODE_VBD", "Type"),
NC_("SC_OPCODE_VBD", "Do not alter. Type = 1 denotes switch to linear depreciation, type = 0 do not switch.")
};
@@ -633,7 +633,7 @@ const char* SC_OPCODE_EFFECT_ARY[] =
{
NC_("SC_OPCODE_EFFECT", "Calculates the annual net interest rate for a nominal interest rate."),
NC_("SC_OPCODE_EFFECT", "NOM"),
- NC_("SC_OPCODE_EFFECT", "Nominal Interest"),
+ NC_("SC_OPCODE_EFFECT", "Nominal interest"),
NC_("SC_OPCODE_EFFECT", "P"),
NC_("SC_OPCODE_EFFECT", "Periods. The number of interest payments per year.")
};
@@ -642,9 +642,9 @@ const char* SC_OPCODE_EFFECT_ARY[] =
const char* SC_OPCODE_NOMINAL_ARY[] =
{
NC_("SC_OPCODE_NOMINAL", "Calculates the yearly nominal interest rate as an effective interest rate."),
- NC_("SC_OPCODE_NOMINAL", "effect_rate"),
+ NC_("SC_OPCODE_NOMINAL", "Effective rate"),
NC_("SC_OPCODE_NOMINAL", "The effective interest rate"),
- NC_("SC_OPCODE_NOMINAL", "npery"),
+ NC_("SC_OPCODE_NOMINAL", "NPER"),
NC_("SC_OPCODE_NOMINAL", "Periods. The number of interest payment per year.")
};
@@ -652,9 +652,9 @@ const char* SC_OPCODE_NOMINAL_ARY[] =
const char* SC_OPCODE_NPV_ARY[] =
{
NC_("SC_OPCODE_NPV", "Net present value. Calculates the net present value of an investment based on a series of periodic payments and a discount rate."),
- NC_("SC_OPCODE_NPV", "RATE"),
+ NC_("SC_OPCODE_NPV", "Rate"),
NC_("SC_OPCODE_NPV", "The rate of discount for one period."),
- NC_("SC_OPCODE_NPV", "value "),
+ NC_("SC_OPCODE_NPV", "Value "),
NC_("SC_OPCODE_NPV", "Value 1, value 2,... are arguments representing payments and income.")
};
@@ -674,23 +674,23 @@ const char* SC_OPCODE_MIRR_ARY[] =
NC_("SC_OPCODE_MIRR", "Returns the modified internal rate of return for a series of investments."),
NC_("SC_OPCODE_MIRR", "Values"),
NC_("SC_OPCODE_MIRR", "An array or reference to cells whose contents correspond to the payments."),
- NC_("SC_OPCODE_MIRR", "investment"),
+ NC_("SC_OPCODE_MIRR", "Investment"),
NC_("SC_OPCODE_MIRR", "Interest rate for investments (the negative values in the array)."),
- NC_("SC_OPCODE_MIRR", "reinvest_rate"),
- NC_("SC_OPCODE_MIRR", "interest rate for reinvestments (the positive values in the array).")
+ NC_("SC_OPCODE_MIRR", "Reinvest rate"),
+ NC_("SC_OPCODE_MIRR", "Interest rate for reinvestments (the positive values in the array).")
};
// -=*# Resource for function ISPMT #*=-
const char* SC_OPCODE_ISPMT_ARY[] =
{
NC_("SC_OPCODE_ISPMT", "Returns the amount of interest for constant amortization rates."),
- NC_("SC_OPCODE_ISPMT", "rate"),
+ NC_("SC_OPCODE_ISPMT", "Rate"),
NC_("SC_OPCODE_ISPMT", "Interest rate for a single amortization rate."),
NC_("SC_OPCODE_ISPMT", "Period"),
NC_("SC_OPCODE_ISPMT", "Number of amortization periods for the calculation of the interest."),
- NC_("SC_OPCODE_ISPMT", "total_periods"),
+ NC_("SC_OPCODE_ISPMT", "Total periods"),
NC_("SC_OPCODE_ISPMT", "Sum total of amortization periods."),
- NC_("SC_OPCODE_ISPMT", "invest"),
+ NC_("SC_OPCODE_ISPMT", "Investment"),
NC_("SC_OPCODE_ISPMT", "Amount of the investment.")
};
@@ -698,9 +698,9 @@ const char* SC_OPCODE_ISPMT_ARY[] =
const char* SC_OPCODE_PDURATION_ARY[] =
{
NC_("SC_OPCODE_PDURATION", "Duration. Calculates the number of periods required by an investment to attain the desired value."),
- NC_("SC_OPCODE_PDURATION", "RATE"),
+ NC_("SC_OPCODE_PDURATION", "Rate"),
NC_("SC_OPCODE_PDURATION", "The constant rate of interest."),
- NC_("SC_OPCODE_PDURATION", "pv"),
+ NC_("SC_OPCODE_PDURATION", "PV"),
NC_("SC_OPCODE_PDURATION", "The present value. The current value of the investment."),
NC_("SC_OPCODE_PDURATION", "FV"),
NC_("SC_OPCODE_PDURATION", "The future value of the investment.")
@@ -710,9 +710,9 @@ const char* SC_OPCODE_PDURATION_ARY[] =
const char* SC_OPCODE_RRI_ARY[] =
{
NC_("SC_OPCODE_RRI", "Interest. Calculates the interest rate which represents the rate of return from an investment."),
- NC_("SC_OPCODE_RRI", "P"),
+ NC_("SC_OPCODE_RRI", "Periods"),
NC_("SC_OPCODE_RRI", "The number of periods used in the calculation."),
- NC_("SC_OPCODE_RRI", "pv"),
+ NC_("SC_OPCODE_RRI", "PV"),
NC_("SC_OPCODE_RRI", "Present value. The current value of the investment."),
NC_("SC_OPCODE_RRI", "FV"),
NC_("SC_OPCODE_RRI", "The future value of the investment.")
@@ -722,7 +722,7 @@ const char* SC_OPCODE_RRI_ARY[] =
const char* SC_OPCODE_IS_REF_ARY[] =
{
NC_("SC_OPCODE_IS_REF", "Returns TRUE if value is a reference."),
- NC_("SC_OPCODE_IS_REF", "value"),
+ NC_("SC_OPCODE_IS_REF", "Value"),
NC_("SC_OPCODE_IS_REF", "The value to be tested.")
};
@@ -730,7 +730,7 @@ const char* SC_OPCODE_IS_REF_ARY[] =
const char* SC_OPCODE_IS_ERR_ARY[] =
{
NC_("SC_OPCODE_IS_ERR", "Returns TRUE if the value is an error value not equal to #N/A."),
- NC_("SC_OPCODE_IS_ERR", "value"),
+ NC_("SC_OPCODE_IS_ERR", "Value"),
NC_("SC_OPCODE_IS_ERR", "The value to be tested.")
};
@@ -738,7 +738,7 @@ const char* SC_OPCODE_IS_ERR_ARY[] =
const char* SC_OPCODE_IS_ERROR_ARY[] =
{
NC_("SC_OPCODE_IS_ERROR", "Returns TRUE if the value is an error value."),
- NC_("SC_OPCODE_IS_ERROR", "value"),
+ NC_("SC_OPCODE_IS_ERROR", "Value"),
NC_("SC_OPCODE_IS_ERROR", "The value to be tested.")
};
@@ -746,7 +746,7 @@ const char* SC_OPCODE_IS_ERROR_ARY[] =
const char* SC_OPCODE_IS_EMPTY_ARY[] =
{
NC_("SC_OPCODE_IS_EMPTY", "Returns TRUE if value refers to an empty cell."),
- NC_("SC_OPCODE_IS_EMPTY", "value"),
+ NC_("SC_OPCODE_IS_EMPTY", "Value"),
NC_("SC_OPCODE_IS_EMPTY", "The value to be tested.")
};
@@ -754,7 +754,7 @@ const char* SC_OPCODE_IS_EMPTY_ARY[] =
const char* SC_OPCODE_IS_LOGICAL_ARY[] =
{
NC_("SC_OPCODE_IS_LOGICAL", "Returns TRUE if the value carries a logical number format."),
- NC_("SC_OPCODE_IS_LOGICAL", "value"),
+ NC_("SC_OPCODE_IS_LOGICAL", "Value"),
NC_("SC_OPCODE_IS_LOGICAL", "The value to be tested.")
};
@@ -762,7 +762,7 @@ const char* SC_OPCODE_IS_LOGICAL_ARY[] =
const char* SC_OPCODE_IS_NV_ARY[] =
{
NC_("SC_OPCODE_IS_NV", "Returns TRUE if value equals #N/A."),
- NC_("SC_OPCODE_IS_NV", "value"),
+ NC_("SC_OPCODE_IS_NV", "Value"),
NC_("SC_OPCODE_IS_NV", "The value to be tested.")
};
@@ -770,7 +770,7 @@ const char* SC_OPCODE_IS_NV_ARY[] =
const char* SC_OPCODE_IS_NON_STRING_ARY[] =
{
NC_("SC_OPCODE_IS_NON_STRING", "Returns TRUE if the value is not text."),
- NC_("SC_OPCODE_IS_NON_STRING", "value"),
+ NC_("SC_OPCODE_IS_NON_STRING", "Value"),
NC_("SC_OPCODE_IS_NON_STRING", "The value to be tested.")
};
@@ -778,7 +778,7 @@ const char* SC_OPCODE_IS_NON_STRING_ARY[] =
const char* SC_OPCODE_IS_STRING_ARY[] =
{
NC_("SC_OPCODE_IS_STRING", "Returns TRUE if value is text."),
- NC_("SC_OPCODE_IS_STRING", "value"),
+ NC_("SC_OPCODE_IS_STRING", "Value"),
NC_("SC_OPCODE_IS_STRING", "The value to be tested.")
};
@@ -786,7 +786,7 @@ const char* SC_OPCODE_IS_STRING_ARY[] =
const char* SC_OPCODE_IS_VALUE_ARY[] =
{
NC_("SC_OPCODE_IS_VALUE", "Returns TRUE if value is a number."),
- NC_("SC_OPCODE_IS_VALUE", "value"),
+ NC_("SC_OPCODE_IS_VALUE", "Value"),
NC_("SC_OPCODE_IS_VALUE", "The value to be tested.")
};
@@ -794,8 +794,8 @@ const char* SC_OPCODE_IS_VALUE_ARY[] =
const char* SC_OPCODE_IS_FORMULA_ARY[] =
{
NC_("SC_OPCODE_IS_FORMULA", "Returns TRUE if the cell is a formula cell."),
- NC_("SC_OPCODE_IS_FORMULA", "reference"),
- NC_("SC_OPCODE_IS_FORMULA", "The cell to be checked.")
+ NC_("SC_OPCODE_IS_FORMULA", "Reference"),
+ NC_("SC_OPCODE_IS_FORMULA", "The cell to be tested.")
};
// -=*# Resource for function FORMULA #*=-
@@ -810,7 +810,7 @@ const char* SC_OPCODE_FORMULA_ARY[] =
const char* SC_OPCODE_N_ARY[] =
{
NC_("SC_OPCODE_N", "Converts a value to a number."),
- NC_("SC_OPCODE_N", "value"),
+ NC_("SC_OPCODE_N", "Value"),
NC_("SC_OPCODE_N", "The value to be interpreted as a number.")
};
@@ -824,7 +824,7 @@ const char* SC_OPCODE_NO_VALUE_ARY[] =
const char* SC_OPCODE_TYPE_ARY[] =
{
NC_("SC_OPCODE_TYPE", "Returns the data type of a value (1 = number, 2 = text, 4 = Boolean value, 8 = formula, 16 = error value, 64 = array)."),
- NC_("SC_OPCODE_TYPE", "value"),
+ NC_("SC_OPCODE_TYPE", "Value"),
NC_("SC_OPCODE_TYPE", "The value for which the data type is to be determined.")
};
@@ -832,7 +832,7 @@ const char* SC_OPCODE_TYPE_ARY[] =
const char* SC_OPCODE_CELL_ARY[] =
{
NC_("SC_OPCODE_CELL", "Determines information about address, formatting or contents of a cell."),
- NC_("SC_OPCODE_CELL", "info_type"),
+ NC_("SC_OPCODE_CELL", "Info type"),
NC_("SC_OPCODE_CELL", "String that specifies the type of information."),
NC_("SC_OPCODE_CELL", "Reference"),
NC_("SC_OPCODE_CELL", "The position of the cell you want to examine.")
@@ -870,9 +870,9 @@ const char* SC_OPCODE_IF_ARY[] =
NC_("SC_OPCODE_IF", "Specifies a logical test to be performed."),
NC_("SC_OPCODE_IF", "Test"),
NC_("SC_OPCODE_IF", "Any value or expression which can be either TRUE or FALSE."),
- NC_("SC_OPCODE_IF", "Then_value"),
+ NC_("SC_OPCODE_IF", "Then value"),
NC_("SC_OPCODE_IF", "The result of the function if the logical test returns a TRUE."),
- NC_("SC_OPCODE_IF", "Otherwise_value"),
+ NC_("SC_OPCODE_IF", "Otherwise value"),
NC_("SC_OPCODE_IF", "The result of the function if the logical test returns FALSE.")
};
@@ -880,9 +880,9 @@ const char* SC_OPCODE_IF_ARY[] =
const char* SC_OPCODE_IF_ERROR_ARY[] =
{
NC_("SC_OPCODE_IF_ERROR", "Returns value if not an error value, else alternative."),
- NC_("SC_OPCODE_IF_ERROR", "value"),
+ NC_("SC_OPCODE_IF_ERROR", "Value"),
NC_("SC_OPCODE_IF_ERROR", "The value to be calculated."),
- NC_("SC_OPCODE_IF_ERROR", "alternative value"),
+ NC_("SC_OPCODE_IF_ERROR", "Alternative value"),
NC_("SC_OPCODE_IF_ERROR", "The alternative to be returned, should value be an error value.")
};
@@ -890,9 +890,9 @@ const char* SC_OPCODE_IF_ERROR_ARY[] =
const char* SC_OPCODE_IF_NA_ARY[] =
{
NC_("SC_OPCODE_IF_NA", "Returns value if not a #N/A error, else alternative."),
- NC_("SC_OPCODE_IF_NA", "value"),
+ NC_("SC_OPCODE_IF_NA", "Value"),
NC_("SC_OPCODE_IF_NA", "The value to be calculated."),
- NC_("SC_OPCODE_IF_NA", "alternative value"),
+ NC_("SC_OPCODE_IF_NA", "Alternative value"),
NC_("SC_OPCODE_IF_NA", "The alternative to be returned, should value be a #N/A error.")
};
@@ -942,7 +942,7 @@ const char* SC_OPCODE_POWER_ARY[] =
const char* SC_OPCODE_COUNT_EMPTY_CELLS_ARY[] =
{
NC_("SC_OPCODE_COUNT_EMPTY_CELLS", "Counts the blank cells in a specified range."),
- NC_("SC_OPCODE_COUNT_EMPTY_CELLS", "range"),
+ NC_("SC_OPCODE_COUNT_EMPTY_CELLS", "Range"),
NC_("SC_OPCODE_COUNT_EMPTY_CELLS", "The range in which empty cells are to be counted.")
};
@@ -956,7 +956,7 @@ const char* SC_OPCODE_PI_ARY[] =
const char* SC_OPCODE_SUM_ARY[] =
{
NC_("SC_OPCODE_SUM", "Returns the sum of all arguments."),
- NC_("SC_OPCODE_SUM", "number "),
+ NC_("SC_OPCODE_SUM", "Number "),
NC_("SC_OPCODE_SUM", "Number 1, number 2, ... are arguments whose total is to be calculated.")
};
@@ -964,7 +964,7 @@ const char* SC_OPCODE_SUM_ARY[] =
const char* SC_OPCODE_SUM_SQ_ARY[] =
{
NC_("SC_OPCODE_SUM_SQ", "Returns the sum of the squares of the arguments."),
- NC_("SC_OPCODE_SUM_SQ", "number "),
+ NC_("SC_OPCODE_SUM_SQ", "Number "),
NC_("SC_OPCODE_SUM_SQ", "Number 1, number 2,... are arguments for which the sum of the squares is to be calculated.")
};
@@ -980,11 +980,11 @@ const char* SC_OPCODE_PRODUCT_ARY[] =
const char* SC_OPCODE_SUM_IF_ARY[] =
{
NC_("SC_OPCODE_SUM_IF", "Totals the arguments that meet the condition."),
- NC_("SC_OPCODE_SUM_IF", "range"),
+ NC_("SC_OPCODE_SUM_IF", "Range"),
NC_("SC_OPCODE_SUM_IF", "The range to be evaluated by the criteria given."),
- NC_("SC_OPCODE_SUM_IF", "criteria"),
+ NC_("SC_OPCODE_SUM_IF", "Criteria"),
NC_("SC_OPCODE_SUM_IF", "The criteria to be applied to the range."),
- NC_("SC_OPCODE_SUM_IF", "sum_range"),
+ NC_("SC_OPCODE_SUM_IF", "Sum range"),
NC_("SC_OPCODE_SUM_IF", "The range from which the values are to be totalled.")
};
@@ -992,22 +992,22 @@ const char* SC_OPCODE_SUM_IF_ARY[] =
const char* SC_OPCODE_AVERAGE_IF_ARY[] =
{
NC_("SC_OPCODE_AVERAGE_IF", "Averages the arguments that meet the conditions."),
- NC_("SC_OPCODE_AVERAGE_IF", "range"),
+ NC_("SC_OPCODE_AVERAGE_IF", "Range"),
NC_("SC_OPCODE_AVERAGE_IF", "The range to be evaluated by the criteria given."),
- NC_("SC_OPCODE_AVERAGE_IF", "criteria"),
+ NC_("SC_OPCODE_AVERAGE_IF", "Criteria"),
NC_("SC_OPCODE_AVERAGE_IF", "The criteria to be applied to the range."),
- NC_("SC_OPCODE_AVERAGE_IF", "average_range"),
+ NC_("SC_OPCODE_AVERAGE_IF", "Average range"),
NC_("SC_OPCODE_AVERAGE_IF", "The range from which the values are to be averaged.")
};
const char* SC_OPCODE_SUM_IFS_ARY[] =
{
NC_("SC_OPCODE_SUM_IFS", "Totals the values of cells in a range that meet multiple criteria in multiple ranges."),
- NC_("SC_OPCODE_SUM_IFS", "sum_range"),
+ NC_("SC_OPCODE_SUM_IFS", "Sum range"),
NC_("SC_OPCODE_SUM_IFS", "The range from which the values are to be totalled."),
- NC_("SC_OPCODE_SUM_IFS", "range "),
+ NC_("SC_OPCODE_SUM_IFS", "Range "),
NC_("SC_OPCODE_SUM_IFS", "Range 1, range 2,... are the ranges to be evaluated by the criteria given."),
- NC_("SC_OPCODE_SUM_IFS", "criteria "),
+ NC_("SC_OPCODE_SUM_IFS", "Criteria "),
NC_("SC_OPCODE_SUM_IFS", "Criteria 1, criteria 2,... are the criteria to be applied to the ranges given.")
};
@@ -1015,11 +1015,11 @@ const char* SC_OPCODE_SUM_IFS_ARY[] =
const char* SC_OPCODE_AVERAGE_IFS_ARY[] =
{
NC_("SC_OPCODE_AVERAGE_IFS", "Averages the value of the cells that meet multiple criteria in multiple ranges."),
- NC_("SC_OPCODE_AVERAGE_IFS", "average_range"),
+ NC_("SC_OPCODE_AVERAGE_IFS", "Average range"),
NC_("SC_OPCODE_AVERAGE_IFS", "The range from which the values are to be averaged."),
- NC_("SC_OPCODE_AVERAGE_IFS", "range "),
+ NC_("SC_OPCODE_AVERAGE_IFS", "Range "),
NC_("SC_OPCODE_AVERAGE_IFS", "Range 1, range 2,... are the ranges to be evaluated by the criteria given."),
- NC_("SC_OPCODE_AVERAGE_IFS", "criteria "),
+ NC_("SC_OPCODE_AVERAGE_IFS", "Criteria "),
NC_("SC_OPCODE_AVERAGE_IFS", "Criteria 1, criteria 2,... are the criteria to be applied to the ranges given.")
};
@@ -1027,9 +1027,9 @@ const char* SC_OPCODE_AVERAGE_IFS_ARY[] =
const char* SC_OPCODE_COUNT_IFS_ARY[] =
{
NC_("SC_OPCODE_COUNT_IFS", "Counts the cells that meet multiple criteria in multiple ranges."),
- NC_("SC_OPCODE_COUNT_IFS", "range "),
+ NC_("SC_OPCODE_COUNT_IFS", "Range "),
NC_("SC_OPCODE_COUNT_IFS", "Range 1, range 2,... are the ranges to be evaluated by the criteria given."),
- NC_("SC_OPCODE_COUNT_IFS", "criteria "),
+ NC_("SC_OPCODE_COUNT_IFS", "Criteria "),
NC_("SC_OPCODE_COUNT_IFS", "Criteria 1, criteria 2,... are the criteria to be applied to the ranges given.")
};
@@ -1037,9 +1037,9 @@ const char* SC_OPCODE_COUNT_IFS_ARY[] =
const char* SC_OPCODE_COUNT_IF_ARY[] =
{
NC_("SC_OPCODE_COUNT_IF", "Counts the arguments which meet the set conditions."),
- NC_("SC_OPCODE_COUNT_IF", "range"),
+ NC_("SC_OPCODE_COUNT_IF", "Range"),
NC_("SC_OPCODE_COUNT_IF", "The range of cells to be evaluated by the criteria given."),
- NC_("SC_OPCODE_COUNT_IF", "criteria"),
+ NC_("SC_OPCODE_COUNT_IF", "Criteria"),
NC_("SC_OPCODE_COUNT_IF", "The criteria to be applied to the range.")
};
@@ -1047,7 +1047,7 @@ const char* SC_OPCODE_COUNT_IF_ARY[] =
const char* SC_OPCODE_SQRT_ARY[] =
{
NC_("SC_OPCODE_SQRT", "Returns the square root of a number."),
- NC_("SC_OPCODE_SQRT", "number"),
+ NC_("SC_OPCODE_SQRT", "Number"),
NC_("SC_OPCODE_SQRT", "A positive value for which the square root is to be calculated.")
};
@@ -1061,7 +1061,7 @@ const char* SC_OPCODE_RANDOM_ARY[] =
const char* SC_OPCODE_IS_EVEN_ARY[] =
{
NC_("SC_OPCODE_IS_EVEN", "Returns TRUE if value is an even integer."),
- NC_("SC_OPCODE_IS_EVEN", "value"),
+ NC_("SC_OPCODE_IS_EVEN", "Value"),
NC_("SC_OPCODE_IS_EVEN", "The value to be tested.")
};
@@ -1069,7 +1069,7 @@ const char* SC_OPCODE_IS_EVEN_ARY[] =
const char* SC_OPCODE_IS_ODD_ARY[] =
{
NC_("SC_OPCODE_IS_ODD", "Returns TRUE if value is an odd integer."),
- NC_("SC_OPCODE_IS_ODD", "value"),
+ NC_("SC_OPCODE_IS_ODD", "Value"),
NC_("SC_OPCODE_IS_ODD", "The value to be tested.")
};
@@ -1077,9 +1077,9 @@ const char* SC_OPCODE_IS_ODD_ARY[] =
const char* SC_OPCODE_COMBIN_ARY[] =
{
NC_("SC_OPCODE_COMBIN", "Calculates the number of combinations for elements without repetition."),
- NC_("SC_OPCODE_COMBIN", "number_1"),
+ NC_("SC_OPCODE_COMBIN", "Number 1"),
NC_("SC_OPCODE_COMBIN", "The total number of elements."),
- NC_("SC_OPCODE_COMBIN", "number_2"),
+ NC_("SC_OPCODE_COMBIN", "Number 2"),
NC_("SC_OPCODE_COMBIN", "The number of elements selected.")
};
@@ -1087,9 +1087,9 @@ const char* SC_OPCODE_COMBIN_ARY[] =
const char* SC_OPCODE_COMBIN_A_ARY[] =
{
NC_("SC_OPCODE_COMBIN_A", "Calculates the number of combinations of elements including repetition."),
- NC_("SC_OPCODE_COMBIN_A", "number_1"),
+ NC_("SC_OPCODE_COMBIN_A", "Number 1"),
NC_("SC_OPCODE_COMBIN_A", "The total number of elements."),
- NC_("SC_OPCODE_COMBIN_A", "number_2"),
+ NC_("SC_OPCODE_COMBIN_A", "Number 2"),
NC_("SC_OPCODE_COMBIN_A", "The number of elements selected.")
};
@@ -1169,7 +1169,7 @@ const char* SC_OPCODE_COS_ARY[] =
const char* SC_OPCODE_SIN_ARY[] =
{
NC_("SC_OPCODE_SIN", "Returns the sine of a number."),
- NC_("SC_OPCODE_SIN", "number"),
+ NC_("SC_OPCODE_SIN", "Number"),
NC_("SC_OPCODE_SIN", "The angle in radians for which the sine is to be calculated.")
};
@@ -1185,7 +1185,7 @@ const char* SC_OPCODE_COT_ARY[] =
const char* SC_OPCODE_TAN_ARY[] =
{
NC_("SC_OPCODE_TAN", "Returns the tangent of a number."),
- NC_("SC_OPCODE_TAN", "number"),
+ NC_("SC_OPCODE_TAN", "Number"),
NC_("SC_OPCODE_TAN", "The angle in radians for which the tangent is to be calculated.")
};
@@ -1201,7 +1201,7 @@ const char* SC_OPCODE_COS_HYP_ARY[] =
const char* SC_OPCODE_SIN_HYP_ARY[] =
{
NC_("SC_OPCODE_SIN_HYP", "Returns the hyperbolic sine of a number."),
- NC_("SC_OPCODE_SIN_HYP", "number"),
+ NC_("SC_OPCODE_SIN_HYP", "Number"),
NC_("SC_OPCODE_SIN_HYP", "The value for which the hyperbolic sine is to be calculated.")
};
@@ -1217,7 +1217,7 @@ const char* SC_OPCODE_COT_HYP_ARY[] =
const char* SC_OPCODE_TAN_HYP_ARY[] =
{
NC_("SC_OPCODE_TAN_HYP", "Returns the hyperbolic tangent of a number."),
- NC_("SC_OPCODE_TAN_HYP", "number"),
+ NC_("SC_OPCODE_TAN_HYP", "Number"),
NC_("SC_OPCODE_TAN_HYP", "The value for which the hyperbolic tangent is to be calculated.")
};
@@ -1225,10 +1225,10 @@ const char* SC_OPCODE_TAN_HYP_ARY[] =
const char* SC_OPCODE_ARC_TAN_2_ARY[] =
{
NC_("SC_OPCODE_ARC_TAN_2", "Returns the arctangent for the specified coordinates."),
- NC_("SC_OPCODE_ARC_TAN_2", "number_x"),
- NC_("SC_OPCODE_ARC_TAN_2", "The value for the x coordinate."),
- NC_("SC_OPCODE_ARC_TAN_2", "number_y"),
- NC_("SC_OPCODE_ARC_TAN_2", "The value for the y coordinate.")
+ NC_("SC_OPCODE_ARC_TAN_2", "Number X"),
+ NC_("SC_OPCODE_ARC_TAN_2", "The value for the X coordinate."),
+ NC_("SC_OPCODE_ARC_TAN_2", "Number Y"),
+ NC_("SC_OPCODE_ARC_TAN_2", "The value for the Y coordinate.")
};
// -=*# Resource for function CSC #*=-
@@ -1345,7 +1345,7 @@ const char* SC_OPCODE_SUB_TOTAL_ARY[] =
NC_("SC_OPCODE_SUB_TOTAL", "Calculates subtotals in a spreadsheet."),
NC_("SC_OPCODE_SUB_TOTAL", "Function"),
NC_("SC_OPCODE_SUB_TOTAL", "Function index. Is an index of the possible functions Total, Max, ..."),
- NC_("SC_OPCODE_SUB_TOTAL", "range"),
+ NC_("SC_OPCODE_SUB_TOTAL", "Range"),
NC_("SC_OPCODE_SUB_TOTAL", "The cells of the range which are to be taken into account.")
};
@@ -1357,9 +1357,9 @@ const char* SC_OPCODE_AGGREGATE_ARY[] =
NC_("SC_OPCODE_AGGREGATE", "Function index. Is an index of the possible functions Total, Max, ..."),
NC_("SC_OPCODE_AGGREGATE", "Options"),
NC_("SC_OPCODE_AGGREGATE", "Option index. Is an index of the possible ignore options."),
- NC_("SC_OPCODE_AGGREGATE", "Ref1 or array "),
+ NC_("SC_OPCODE_AGGREGATE", "Reference 1 or array"),
NC_("SC_OPCODE_AGGREGATE", "The cell(s) of the range which are to be taken into account."),
- NC_("SC_OPCODE_AGGREGATE", "Ref2..n or k "),
+ NC_("SC_OPCODE_AGGREGATE", "Reference 2..n or k "),
NC_("SC_OPCODE_AGGREGATE", "The cells of the range which are to be taken into account or mandatory 2nd argument for certain functions.")
};
@@ -1375,9 +1375,9 @@ const char* SC_OPCODE_INT_ARY[] =
const char* SC_OPCODE_TRUNC_ARY[] =
{
NC_("SC_OPCODE_TRUNC", "Truncates the decimal places of a number."),
- NC_("SC_OPCODE_TRUNC", "number"),
+ NC_("SC_OPCODE_TRUNC", "Number"),
NC_("SC_OPCODE_TRUNC", "The number to be truncated."),
- NC_("SC_OPCODE_TRUNC", "count"),
+ NC_("SC_OPCODE_TRUNC", "Count"),
NC_("SC_OPCODE_TRUNC", "The number of places after the decimal point that are not to be truncated.")
};
@@ -1385,9 +1385,9 @@ const char* SC_OPCODE_TRUNC_ARY[] =
const char* SC_OPCODE_ROUND_ARY[] =
{
NC_("SC_OPCODE_ROUND", "Rounds a number to a predefined accuracy."),
- NC_("SC_OPCODE_ROUND", "number"),
+ NC_("SC_OPCODE_ROUND", "Number"),
NC_("SC_OPCODE_ROUND", "The number to be rounded."),
- NC_("SC_OPCODE_ROUND", "count"),
+ NC_("SC_OPCODE_ROUND", "Count"),
NC_("SC_OPCODE_ROUND", "The number of places to which a number is to be rounded.")
};
@@ -1395,9 +1395,9 @@ const char* SC_OPCODE_ROUND_ARY[] =
const char* SC_OPCODE_ROUND_UP_ARY[] =
{
NC_("SC_OPCODE_ROUND_UP", "Rounds a number up to the predefined accuracy."),
- NC_("SC_OPCODE_ROUND_UP", "number"),
+ NC_("SC_OPCODE_ROUND_UP", "Number"),
NC_("SC_OPCODE_ROUND_UP", "The number to be rounded up."),
- NC_("SC_OPCODE_ROUND_UP", "count"),
+ NC_("SC_OPCODE_ROUND_UP", "Count"),
NC_("SC_OPCODE_ROUND_UP", "The number of places to which a number is to be rounded.")
};
@@ -1405,9 +1405,9 @@ const char* SC_OPCODE_ROUND_UP_ARY[] =
const char* SC_OPCODE_ROUND_DOWN_ARY[] =
{
NC_("SC_OPCODE_ROUND_DOWN", "Rounds a number down to a predefined accuracy."),
- NC_("SC_OPCODE_ROUND_DOWN", "number"),
+ NC_("SC_OPCODE_ROUND_DOWN", "Number"),
NC_("SC_OPCODE_ROUND_DOWN", "The number to be rounded down."),
- NC_("SC_OPCODE_ROUND_DOWN", "count"),
+ NC_("SC_OPCODE_ROUND_DOWN", "Count"),
NC_("SC_OPCODE_ROUND_DOWN", "The number of places down to which a number is to be rounded.")
};
@@ -1545,7 +1545,7 @@ const char* SC_OPCODE_LCM_ARY[] =
const char* SC_OPCODE_MAT_TRANS_ARY[] =
{
NC_("SC_OPCODE_MAT_TRANS", "Array transposition. Exchanges the rows and columns of an array."),
- NC_("SC_OPCODE_MAT_TRANS", "array"),
+ NC_("SC_OPCODE_MAT_TRANS", "Array"),
NC_("SC_OPCODE_MAT_TRANS", "The array in which the rows and columns have been transposed.")
};
@@ -1553,9 +1553,9 @@ const char* SC_OPCODE_MAT_TRANS_ARY[] =
const char* SC_OPCODE_MAT_MULT_ARY[] =
{
NC_("SC_OPCODE_MAT_MULT", "Array multiplication. Returns the product of two arrays."),
- NC_("SC_OPCODE_MAT_MULT", "array_1"),
+ NC_("SC_OPCODE_MAT_MULT", "Array 1"),
NC_("SC_OPCODE_MAT_MULT", "The first array for the array product."),
- NC_("SC_OPCODE_MAT_MULT", "array_2"),
+ NC_("SC_OPCODE_MAT_MULT", "Array 2"),
NC_("SC_OPCODE_MAT_MULT", "The second array having the same number of rows as the first array has columns.")
};
@@ -1563,7 +1563,7 @@ const char* SC_OPCODE_MAT_MULT_ARY[] =
const char* SC_OPCODE_MAT_DET_ARY[] =
{
NC_("SC_OPCODE_MAT_DET", "Returns the array determinant."),
- NC_("SC_OPCODE_MAT_DET", "array"),
+ NC_("SC_OPCODE_MAT_DET", "Array"),
NC_("SC_OPCODE_MAT_DET", "The array for which the determinant is to be determined.")
};
@@ -1571,7 +1571,7 @@ const char* SC_OPCODE_MAT_DET_ARY[] =
const char* SC_OPCODE_MAT_INV_ARY[] =
{
NC_("SC_OPCODE_MAT_INV", "Returns the inverse of an array."),
- NC_("SC_OPCODE_MAT_INV", "array"),
+ NC_("SC_OPCODE_MAT_INV", "Array"),
NC_("SC_OPCODE_MAT_INV", "The array to be inverted.")
};
@@ -1595,9 +1595,9 @@ const char* SC_OPCODE_SUM_PRODUCT_ARY[] =
const char* SC_OPCODE_SUM_X2MY2_ARY[] =
{
NC_("SC_OPCODE_SUM_X2MY2", "Returns the sum of the difference of squares of two arrays."),
- NC_("SC_OPCODE_SUM_X2MY2", "array_x"),
+ NC_("SC_OPCODE_SUM_X2MY2", "Array X"),
NC_("SC_OPCODE_SUM_X2MY2", "First array where the square of the arguments are totalled."),
- NC_("SC_OPCODE_SUM_X2MY2", "array_y"),
+ NC_("SC_OPCODE_SUM_X2MY2", "Array Y"),
NC_("SC_OPCODE_SUM_X2MY2", "Second array where the square of the arguments is to be subtracted.")
};
@@ -1605,9 +1605,9 @@ const char* SC_OPCODE_SUM_X2MY2_ARY[] =
const char* SC_OPCODE_SUM_X2DY2_ARY[] =
{
NC_("SC_OPCODE_SUM_X2DY2", "Returns the total of the square sum of two arrays."),
- NC_("SC_OPCODE_SUM_X2DY2", "array_x"),
+ NC_("SC_OPCODE_SUM_X2DY2", "Array X"),
NC_("SC_OPCODE_SUM_X2DY2", "First array where the square of the arguments are totalled."),
- NC_("SC_OPCODE_SUM_X2DY2", "array_y"),
+ NC_("SC_OPCODE_SUM_X2DY2", "Array Y"),
NC_("SC_OPCODE_SUM_X2DY2", "Second array where the square of the arguments is to be totalled.")
};
@@ -1615,9 +1615,9 @@ const char* SC_OPCODE_SUM_X2DY2_ARY[] =
const char* SC_OPCODE_SUM_XMY2_ARY[] =
{
NC_("SC_OPCODE_SUM_XMY2", "Returns the sum of squares of differences of two arrays."),
- NC_("SC_OPCODE_SUM_XMY2", "array_x"),
+ NC_("SC_OPCODE_SUM_XMY2", "Array X"),
NC_("SC_OPCODE_SUM_XMY2", "First array for forming argument differences."),
- NC_("SC_OPCODE_SUM_XMY2", "array_y"),
+ NC_("SC_OPCODE_SUM_XMY2", "Array Y"),
NC_("SC_OPCODE_SUM_XMY2", "Second array for forming the argument differences.")
};
@@ -1625,9 +1625,9 @@ const char* SC_OPCODE_SUM_XMY2_ARY[] =
const char* SC_OPCODE_FREQUENCY_ARY[] =
{
NC_("SC_OPCODE_FREQUENCY", "Returns a frequency distribution as a vertical array."),
- NC_("SC_OPCODE_FREQUENCY", "data"),
+ NC_("SC_OPCODE_FREQUENCY", "Data"),
NC_("SC_OPCODE_FREQUENCY", "The array of the data."),
- NC_("SC_OPCODE_FREQUENCY", "classes"),
+ NC_("SC_OPCODE_FREQUENCY", "Classes"),
NC_("SC_OPCODE_FREQUENCY", "The array for forming classes.")
};
@@ -1635,13 +1635,13 @@ const char* SC_OPCODE_FREQUENCY_ARY[] =
const char* SC_OPCODE_LINEST_ARY[] =
{
NC_("SC_OPCODE_LINEST", "Calculates parameters of the linear regression as an array."),
- NC_("SC_OPCODE_LINEST", "data_Y"),
+ NC_("SC_OPCODE_LINEST", "Data Y"),
NC_("SC_OPCODE_LINEST", "The Y data array."),
- NC_("SC_OPCODE_LINEST", "data_X"),
+ NC_("SC_OPCODE_LINEST", "Data X"),
NC_("SC_OPCODE_LINEST", "The X data array."),
- NC_("SC_OPCODE_LINEST", "Linear_type"),
+ NC_("SC_OPCODE_LINEST", "Linear type"),
NC_("SC_OPCODE_LINEST", "If type = 0 the linears will be calculated through the zero point, or else moved linears."),
- NC_("SC_OPCODE_LINEST", "stats"),
+ NC_("SC_OPCODE_LINEST", "Stats"),
NC_("SC_OPCODE_LINEST", "If parameter = 0 then only the regression coefficient will be calculated, otherwise other values as well.")
};
@@ -1649,13 +1649,13 @@ const char* SC_OPCODE_LINEST_ARY[] =
const char* SC_OPCODE_LOGEST_ARY[] =
{
NC_("SC_OPCODE_LOGEST", "Calculates the parameters of the exponential regression curve as an array."),
- NC_("SC_OPCODE_LOGEST", "data_Y"),
+ NC_("SC_OPCODE_LOGEST", "Data Y"),
NC_("SC_OPCODE_LOGEST", "The Y data array."),
- NC_("SC_OPCODE_LOGEST", "data_X"),
+ NC_("SC_OPCODE_LOGEST", "Data X"),
NC_("SC_OPCODE_LOGEST", "The X data array."),
- NC_("SC_OPCODE_LOGEST", "Function_type"),
+ NC_("SC_OPCODE_LOGEST", "Function type"),
NC_("SC_OPCODE_LOGEST", "If type = 0 then the functions will be calculated in the form of y=m^x, or also functions y=b*m^x."),
- NC_("SC_OPCODE_LOGEST", "stats"),
+ NC_("SC_OPCODE_LOGEST", "Stats"),
NC_("SC_OPCODE_LOGEST", "If parameter = 0 then only the regression coefficient will be calculated, otherwise other values as well.")
};
@@ -1663,13 +1663,13 @@ const char* SC_OPCODE_LOGEST_ARY[] =
const char* SC_OPCODE_TREND_ARY[] =
{
NC_("SC_OPCODE_TREND", "Calculates points along a regression line."),
- NC_("SC_OPCODE_TREND", "data_Y"),
+ NC_("SC_OPCODE_TREND", "Data Y"),
NC_("SC_OPCODE_TREND", "The Y data array."),
- NC_("SC_OPCODE_TREND", "data_X"),
+ NC_("SC_OPCODE_TREND", "Data X"),
NC_("SC_OPCODE_TREND", "The X data array as the basis for the regression."),
- NC_("SC_OPCODE_TREND", "new data_X"),
+ NC_("SC_OPCODE_TREND", "New data X"),
NC_("SC_OPCODE_TREND", "The array of X data for recalculating the values."),
- NC_("SC_OPCODE_TREND", "Linear_type"),
+ NC_("SC_OPCODE_TREND", "Linear type"),
NC_("SC_OPCODE_TREND", "If type = 0 the linears will be calculated through the zero point, or else moved linears.")
};
@@ -1677,13 +1677,13 @@ const char* SC_OPCODE_TREND_ARY[] =
const char* SC_OPCODE_GROWTH_ARY[] =
{
NC_("SC_OPCODE_GROWTH", "Calculates points on the exponential regression function."),
- NC_("SC_OPCODE_GROWTH", "data_Y"),
+ NC_("SC_OPCODE_GROWTH", "Data Y"),
NC_("SC_OPCODE_GROWTH", "The Y data array."),
- NC_("SC_OPCODE_GROWTH", "data_X"),
+ NC_("SC_OPCODE_GROWTH", "Data X"),
NC_("SC_OPCODE_GROWTH", "The X data array as the basis for the regression."),
- NC_("SC_OPCODE_GROWTH", "new_data_X"),
+ NC_("SC_OPCODE_GROWTH", "New data X"),
NC_("SC_OPCODE_GROWTH", "The array of X data for recalculating the values."),
- NC_("SC_OPCODE_GROWTH", "Function_type"),
+ NC_("SC_OPCODE_GROWTH", "Function type"),
NC_("SC_OPCODE_GROWTH", "If type = 0 then the functions will be calculated in the form of y=m^x, or also functions y=b*m^x.")
};
@@ -1691,7 +1691,7 @@ const char* SC_OPCODE_GROWTH_ARY[] =
const char* SC_OPCODE_COUNT_ARY[] =
{
NC_("SC_OPCODE_COUNT", "Counts how many numbers are in the list of arguments."),
- NC_("SC_OPCODE_COUNT", "value "),
+ NC_("SC_OPCODE_COUNT", "Value "),
NC_("SC_OPCODE_COUNT", "Value 1, value 2, ... are arguments containing different data types but where only numbers are counted.")
};
@@ -1699,7 +1699,7 @@ const char* SC_OPCODE_COUNT_ARY[] =
const char* SC_OPCODE_COUNT_2_ARY[] =
{
NC_("SC_OPCODE_COUNT_2", "Counts how many values are in the list of arguments."),
- NC_("SC_OPCODE_COUNT_2", "value "),
+ NC_("SC_OPCODE_COUNT_2", "Value "),
NC_("SC_OPCODE_COUNT_2", "Value 1, value 2, ... are arguments representing the values to be counted.")
};
@@ -1707,7 +1707,7 @@ const char* SC_OPCODE_COUNT_2_ARY[] =
const char* SC_OPCODE_MAX_ARY[] =
{
NC_("SC_OPCODE_MAX", "Returns the maximum value in a list of arguments."),
- NC_("SC_OPCODE_MAX", "number "),
+ NC_("SC_OPCODE_MAX", "Number "),
NC_("SC_OPCODE_MAX", "Number 1, number 2, ... are numerical arguments for which the largest number is to be determined.")
};
@@ -1715,7 +1715,7 @@ const char* SC_OPCODE_MAX_ARY[] =
const char* SC_OPCODE_MAX_A_ARY[] =
{
NC_("SC_OPCODE_MAX_A", "Returns the maximum value in a list of arguments. Text is evaluated as Zero."),
- NC_("SC_OPCODE_MAX_A", "value "),
+ NC_("SC_OPCODE_MAX_A", "Value "),
NC_("SC_OPCODE_MAX_A", "Value 1, value 2, are arguments whose largest value is to be determined.")
};
@@ -1723,7 +1723,7 @@ const char* SC_OPCODE_MAX_A_ARY[] =
const char* SC_OPCODE_MIN_ARY[] =
{
NC_("SC_OPCODE_MIN", "Returns the minimum value in a list of arguments."),
- NC_("SC_OPCODE_MIN", "number "),
+ NC_("SC_OPCODE_MIN", "Number "),
NC_("SC_OPCODE_MIN", "Number 1, number 2, ... are numerical arguments for which the smallest number is to be determined.")
};
@@ -1731,7 +1731,7 @@ const char* SC_OPCODE_MIN_ARY[] =
const char* SC_OPCODE_MIN_A_ARY[] =
{
NC_("SC_OPCODE_MIN_A", "Returns the smallest value in a list of arguments. Text is evaluated as zero."),
- NC_("SC_OPCODE_MIN_A", "value "),
+ NC_("SC_OPCODE_MIN_A", "Value "),
NC_("SC_OPCODE_MIN_A", "Value 1; value 2;... are arguments whose smallest number is to be determined.")
};
@@ -1739,7 +1739,7 @@ const char* SC_OPCODE_MIN_A_ARY[] =
const char* SC_OPCODE_VAR_ARY[] =
{
NC_("SC_OPCODE_VAR", "Calculates the variance based on a sample."),
- NC_("SC_OPCODE_VAR", "number "),
+ NC_("SC_OPCODE_VAR", "Number "),
NC_("SC_OPCODE_VAR", "Number 1, number 2, ... are numerical arguments which portray a sample of a population.")
};
@@ -1747,7 +1747,7 @@ const char* SC_OPCODE_VAR_ARY[] =
const char* SC_OPCODE_VAR_S_ARY[] =
{
NC_("SC_OPCODE_VAR_S", "Calculates the variance based on a sample."),
- NC_("SC_OPCODE_VAR_S", "number "),
+ NC_("SC_OPCODE_VAR_S", "Number "),
NC_("SC_OPCODE_VAR_S", "Number 1, number 2, ... are numerical arguments which portray a sample of a population.")
};
@@ -1755,7 +1755,7 @@ const char* SC_OPCODE_VAR_S_ARY[] =
const char* SC_OPCODE_VAR_A_ARY[] =
{
NC_("SC_OPCODE_VAR_A", "Returns the variance based on a sample. Text is evaluated as zero."),
- NC_("SC_OPCODE_VAR_A", "value "),
+ NC_("SC_OPCODE_VAR_A", "Value "),
NC_("SC_OPCODE_VAR_A", "Value 1; value 2; ... are arguments representing a sample taken from a basic total population.")
};
@@ -1763,7 +1763,7 @@ const char* SC_OPCODE_VAR_A_ARY[] =
const char* SC_OPCODE_VAR_P_ARY[] =
{
NC_("SC_OPCODE_VAR_P", "Calculates variance based on the entire population."),
- NC_("SC_OPCODE_VAR_P", "number "),
+ NC_("SC_OPCODE_VAR_P", "Number "),
NC_("SC_OPCODE_VAR_P", "Number 1, number 2, ... are numerical arguments which represent a population.")
};
@@ -1771,7 +1771,7 @@ const char* SC_OPCODE_VAR_P_ARY[] =
const char* SC_OPCODE_VAR_P_MS_ARY[] =
{
NC_("SC_OPCODE_VAR_P_MS", "Calculates variance based on the entire population."),
- NC_("SC_OPCODE_VAR_P_MS", "number "),
+ NC_("SC_OPCODE_VAR_P_MS", "Number "),
NC_("SC_OPCODE_VAR_P_MS", "Number 1, number 2, ... are numerical arguments which represent a population.")
};
@@ -1779,7 +1779,7 @@ const char* SC_OPCODE_VAR_P_MS_ARY[] =
const char* SC_OPCODE_VAR_P_A_ARY[] =
{
NC_("SC_OPCODE_VAR_P_A", "Returns the variance based on the entire population. Text is evaluated as zero."),
- NC_("SC_OPCODE_VAR_P_A", "value "),
+ NC_("SC_OPCODE_VAR_P_A", "Value "),
NC_("SC_OPCODE_VAR_P_A", "Value 1; value 2;... are arguments representing a population.")
};
@@ -1787,7 +1787,7 @@ const char* SC_OPCODE_VAR_P_A_ARY[] =
const char* SC_OPCODE_ST_DEV_ARY[] =
{
NC_("SC_OPCODE_ST_DEV", "Calculates the standard deviation based on a sample."),
- NC_("SC_OPCODE_ST_DEV", "number "),
+ NC_("SC_OPCODE_ST_DEV", "Number "),
NC_("SC_OPCODE_ST_DEV", "Number 1, number 2, ... are numerical arguments which portray a sample of a population.")
};
@@ -1795,7 +1795,7 @@ const char* SC_OPCODE_ST_DEV_ARY[] =
const char* SC_OPCODE_ST_DEV_S_ARY[] =
{
NC_("SC_OPCODE_ST_DEV_S", "Calculates the standard deviation based on a sample."),
- NC_("SC_OPCODE_ST_DEV_S", "number "),
+ NC_("SC_OPCODE_ST_DEV_S", "Number "),
NC_("SC_OPCODE_ST_DEV_S", "Number 1, number 2, ... are numerical arguments which portray a sample of a population.")
};
@@ -1803,7 +1803,7 @@ const char* SC_OPCODE_ST_DEV_S_ARY[] =
const char* SC_OPCODE_ST_DEV_A_ARY[] =
{
NC_("SC_OPCODE_ST_DEV_A", "Returns the standard deviation based on a sample. Text is evaluated as zero."),
- NC_("SC_OPCODE_ST_DEV_A", "value "),
+ NC_("SC_OPCODE_ST_DEV_A", "Value "),
NC_("SC_OPCODE_ST_DEV_A", "Value 1; value 2; ... are arguments representing a sample taken from a basic total population.")
};
@@ -1811,7 +1811,7 @@ const char* SC_OPCODE_ST_DEV_A_ARY[] =
const char* SC_OPCODE_ST_DEV_P_ARY[] =
{
NC_("SC_OPCODE_ST_DEV_P", "Calculates the standard deviation based on the entire population."),
- NC_("SC_OPCODE_ST_DEV_P", "number "),
+ NC_("SC_OPCODE_ST_DEV_P", "Number "),
NC_("SC_OPCODE_ST_DEV_P", "Number 1, number 2, ... are numerical arguments which portray a population.")
};
@@ -1819,7 +1819,7 @@ const char* SC_OPCODE_ST_DEV_P_ARY[] =
const char* SC_OPCODE_ST_DEV_P_MS_ARY[] =
{
NC_("SC_OPCODE_ST_DEV_P_MS", "Calculates the standard deviation based on the entire population."),
- NC_("SC_OPCODE_ST_DEV_P_MS", "number "),
+ NC_("SC_OPCODE_ST_DEV_P_MS", "Number "),
NC_("SC_OPCODE_ST_DEV_P_MS", "Number 1, number 2, ... are numerical arguments which portray a population.")
};
@@ -1827,7 +1827,7 @@ const char* SC_OPCODE_ST_DEV_P_MS_ARY[] =
const char* SC_OPCODE_ST_DEV_P_A_ARY[] =
{
NC_("SC_OPCODE_ST_DEV_P_A", "Returns the standard deviation based on the entire population. Text is evaluated as zero."),
- NC_("SC_OPCODE_ST_DEV_P_A", "value "),
+ NC_("SC_OPCODE_ST_DEV_P_A", "Value "),
NC_("SC_OPCODE_ST_DEV_P_A", "Value 1; value 2;... are arguments corresponding to a population.")
};
@@ -1835,7 +1835,7 @@ const char* SC_OPCODE_ST_DEV_P_A_ARY[] =
const char* SC_OPCODE_AVERAGE_ARY[] =
{
NC_("SC_OPCODE_AVERAGE", "Returns the average of a sample."),
- NC_("SC_OPCODE_AVERAGE", "number "),
+ NC_("SC_OPCODE_AVERAGE", "Number "),
NC_("SC_OPCODE_AVERAGE", "Number 1, number 2;...are numeric arguments representing a population sample.")
};
@@ -1843,7 +1843,7 @@ const char* SC_OPCODE_AVERAGE_ARY[] =
const char* SC_OPCODE_AVERAGE_A_ARY[] =
{
NC_("SC_OPCODE_AVERAGE_A", "Returns the average value for a sample. Text is evaluated as zero."),
- NC_("SC_OPCODE_AVERAGE_A", "value "),
+ NC_("SC_OPCODE_AVERAGE_A", "Value "),
NC_("SC_OPCODE_AVERAGE_A", "Value 1; value 2; ... are arguments representing a sample taken from a basic total population.")
};
@@ -1851,7 +1851,7 @@ const char* SC_OPCODE_AVERAGE_A_ARY[] =
const char* SC_OPCODE_DEV_SQ_ARY[] =
{
NC_("SC_OPCODE_DEV_SQ", "Returns the sum of squares of deviations from the sample mean value"),
- NC_("SC_OPCODE_DEV_SQ", "number "),
+ NC_("SC_OPCODE_DEV_SQ", "Number "),
NC_("SC_OPCODE_DEV_SQ", "Number 1, number 2, ... are numerical arguments which portray a sample.")
};
@@ -1859,7 +1859,7 @@ const char* SC_OPCODE_DEV_SQ_ARY[] =
const char* SC_OPCODE_AVE_DEV_ARY[] =
{
NC_("SC_OPCODE_AVE_DEV", "Returns the average of the absolute deviations of a sample from the mean."),
- NC_("SC_OPCODE_AVE_DEV", "number "),
+ NC_("SC_OPCODE_AVE_DEV", "Number "),
NC_("SC_OPCODE_AVE_DEV", "Number 1, number 2;...are numerical arguments representing a sample.")
};
@@ -1867,7 +1867,7 @@ const char* SC_OPCODE_AVE_DEV_ARY[] =
const char* SC_OPCODE_SKEW_ARY[] =
{
NC_("SC_OPCODE_SKEW", "Returns the skewness of a distribution."),
- NC_("SC_OPCODE_SKEW", "number "),
+ NC_("SC_OPCODE_SKEW", "Number "),
NC_("SC_OPCODE_SKEW", "Number 1, number 2, ... are numerical arguments portraying a sample of the distribution.")
};
@@ -1875,7 +1875,7 @@ const char* SC_OPCODE_SKEW_ARY[] =
const char* SC_OPCODE_SKEWP_ARY[] =
{
NC_("SC_OPCODE_SKEWP", "Returns the skewness of a distribution using the population of a random variable."),
- NC_("SC_OPCODE_SKEWP", "number "),
+ NC_("SC_OPCODE_SKEWP", "Number "),
NC_("SC_OPCODE_SKEWP", "Number 1, number 2, ... are numerical arguments portraying the population.")
};
@@ -1883,7 +1883,7 @@ const char* SC_OPCODE_SKEWP_ARY[] =
const char* SC_OPCODE_KURT_ARY[] =
{
NC_("SC_OPCODE_KURT", "Returns the kurtosis of a distribution."),
- NC_("SC_OPCODE_KURT", "number "),
+ NC_("SC_OPCODE_KURT", "Number "),
NC_("SC_OPCODE_KURT", "Number 1, number 2, ... are numerical arguments, representing a sample of the distribution.")
};
@@ -1891,7 +1891,7 @@ const char* SC_OPCODE_KURT_ARY[] =
const char* SC_OPCODE_GEO_MEAN_ARY[] =
{
NC_("SC_OPCODE_GEO_MEAN", "Returns the geometric mean of a sample."),
- NC_("SC_OPCODE_GEO_MEAN", "number "),
+ NC_("SC_OPCODE_GEO_MEAN", "Number "),
NC_("SC_OPCODE_GEO_MEAN", "Number 1, number 2, ... are numerical arguments which portray a sample.")
};
@@ -1899,7 +1899,7 @@ const char* SC_OPCODE_GEO_MEAN_ARY[] =
const char* SC_OPCODE_HAR_MEAN_ARY[] =
{
NC_("SC_OPCODE_HAR_MEAN", "Returns the harmonic mean of a sample."),
- NC_("SC_OPCODE_HAR_MEAN", "number "),
+ NC_("SC_OPCODE_HAR_MEAN", "Number "),
NC_("SC_OPCODE_HAR_MEAN", "Number 1, number 2, ... are numerical arguments which portray a sample.")
};
@@ -1907,7 +1907,7 @@ const char* SC_OPCODE_HAR_MEAN_ARY[] =
const char* SC_OPCODE_MODAL_VALUE_ARY[] =
{
NC_("SC_OPCODE_MODAL_VALUE", "Returns the most common value in a sample."),
- NC_("SC_OPCODE_MODAL_VALUE", "number "),
+ NC_("SC_OPCODE_MODAL_VALUE", "Number "),
NC_("SC_OPCODE_MODAL_VALUE", "Number 1, number 2, ... are numerical arguments which portray a sample.")
};
@@ -1915,7 +1915,7 @@ const char* SC_OPCODE_MODAL_VALUE_ARY[] =
const char* SC_OPCODE_MODAL_VALUE_MS_ARY[] =
{
NC_("SC_OPCODE_MODAL_VALUE_MS", "Returns the most common value in a sample."),
- NC_("SC_OPCODE_MODAL_VALUE_MS", "number "),
+ NC_("SC_OPCODE_MODAL_VALUE_MS", "Number "),
NC_("SC_OPCODE_MODAL_VALUE_MS", "Number 1, number 2, ... are numerical arguments which portray a sample.")
};
@@ -1923,7 +1923,7 @@ const char* SC_OPCODE_MODAL_VALUE_MS_ARY[] =
const char* SC_OPCODE_MODAL_VALUE_MULTI_ARY[] =
{
NC_("SC_OPCODE_MODAL_VALUE_MULTI", "Returns the most common value in a sample."),
- NC_("SC_OPCODE_MODAL_VALUE_MULTI", "number "),
+ NC_("SC_OPCODE_MODAL_VALUE_MULTI", "Number "),
NC_("SC_OPCODE_MODAL_VALUE_MULTI", "Number 1, number 2, ... are 1 to 254 numerical arguments which portray a sample.")
};
@@ -1931,7 +1931,7 @@ const char* SC_OPCODE_MODAL_VALUE_MULTI_ARY[] =
const char* SC_OPCODE_MEDIAN_ARY[] =
{
NC_("SC_OPCODE_MEDIAN", "Returns the median of a given sample."),
- NC_("SC_OPCODE_MEDIAN", "number "),
+ NC_("SC_OPCODE_MEDIAN", "Number "),
NC_("SC_OPCODE_MEDIAN", "Number 1, number 2, ... are numerical arguments which portray a sample.")
};
@@ -1939,7 +1939,7 @@ const char* SC_OPCODE_MEDIAN_ARY[] =
const char* SC_OPCODE_PERCENTILE_ARY[] =
{
NC_("SC_OPCODE_PERCENTILE", "Returns the alpha quantile of a sample."),
- NC_("SC_OPCODE_PERCENTILE", "data"),
+ NC_("SC_OPCODE_PERCENTILE", "Data"),
NC_("SC_OPCODE_PERCENTILE", "The array of the data in the sample."),
NC_("SC_OPCODE_PERCENTILE", "Alpha"),
NC_("SC_OPCODE_PERCENTILE", "The percentage rate of the quantile between 0 and 1.")
@@ -1949,7 +1949,7 @@ const char* SC_OPCODE_PERCENTILE_ARY[] =
const char* SC_OPCODE_PERCENTILE_EXC_ARY[] =
{
NC_("SC_OPCODE_PERCENTILE_EXC", "Returns the alpha percentile of a sample."),
- NC_("SC_OPCODE_PERCENTILE_EXC", "data"),
+ NC_("SC_OPCODE_PERCENTILE_EXC", "Data"),
NC_("SC_OPCODE_PERCENTILE_EXC", "The array of the data in the sample."),
NC_("SC_OPCODE_PERCENTILE_EXC", "Alpha"),
NC_("SC_OPCODE_PERCENTILE_EXC", "The percentile value, range 0...1, exclusive.")
@@ -1959,7 +1959,7 @@ const char* SC_OPCODE_PERCENTILE_EXC_ARY[] =
const char* SC_OPCODE_PERCENTILE_INC_ARY[] =
{
NC_("SC_OPCODE_PERCENTILE_INC", "Returns the alpha percentile of a sample."),
- NC_("SC_OPCODE_PERCENTILE_INC", "data"),
+ NC_("SC_OPCODE_PERCENTILE_INC", "Data"),
NC_("SC_OPCODE_PERCENTILE_INC", "The array of the data in the sample."),
NC_("SC_OPCODE_PERCENTILE_INC", "Alpha"),
NC_("SC_OPCODE_PERCENTILE_INC", "The percentile value, range 0...1, inclusive.")
@@ -1969,7 +1969,7 @@ const char* SC_OPCODE_PERCENTILE_INC_ARY[] =
const char* SC_OPCODE_QUARTILE_ARY[] =
{
NC_("SC_OPCODE_QUARTILE", "Returns the quartile of a sample."),
- NC_("SC_OPCODE_QUARTILE", "data"),
+ NC_("SC_OPCODE_QUARTILE", "Data"),
NC_("SC_OPCODE_QUARTILE", "The array of the data in the sample."),
NC_("SC_OPCODE_QUARTILE", "Type"),
NC_("SC_OPCODE_QUARTILE", "The type of the quartile (0 = MIN, 1 = 25%, 2 = 50%, 3 = 75%, 4 = MAX).")
@@ -1979,7 +1979,7 @@ const char* SC_OPCODE_QUARTILE_ARY[] =
const char* SC_OPCODE_QUARTILE_EXC_ARY[] =
{
NC_("SC_OPCODE_QUARTILE_EXC", "Returns the quartile of a sample."),
- NC_("SC_OPCODE_QUARTILE_EXC", "data"),
+ NC_("SC_OPCODE_QUARTILE_EXC", "Data"),
NC_("SC_OPCODE_QUARTILE_EXC", "The array of the data in the sample."),
NC_("SC_OPCODE_QUARTILE_EXC", "Type"),
NC_("SC_OPCODE_QUARTILE_EXC", "The type of the quartile (1 = 25%, 2 = 50%, 3 = 75%).")
@@ -1989,7 +1989,7 @@ const char* SC_OPCODE_QUARTILE_EXC_ARY[] =
const char* SC_OPCODE_QUARTILE_INC_ARY[] =
{
NC_("SC_OPCODE_QUARTILE_INC", "Returns the quartile of a sample."),
- NC_("SC_OPCODE_QUARTILE_INC", "data"),
+ NC_("SC_OPCODE_QUARTILE_INC", "Data"),
NC_("SC_OPCODE_QUARTILE_INC", "The array of the data in the sample."),
NC_("SC_OPCODE_QUARTILE_INC", "Type"),
NC_("SC_OPCODE_QUARTILE_INC", "The type of the quartile (0 = MIN, 1 = 25%, 2 = 50%, 3 = 75%, 4 = MAX).")
@@ -1999,9 +1999,9 @@ const char* SC_OPCODE_QUARTILE_INC_ARY[] =
const char* SC_OPCODE_LARGE_ARY[] =
{
NC_("SC_OPCODE_LARGE", "Returns the k-th largest value of a sample."),
- NC_("SC_OPCODE_LARGE", "data"),
+ NC_("SC_OPCODE_LARGE", "Data"),
NC_("SC_OPCODE_LARGE", "The array of the data in the sample."),
- NC_("SC_OPCODE_LARGE", "Rank_c"),
+ NC_("SC_OPCODE_LARGE", "Rank c"),
NC_("SC_OPCODE_LARGE", "The ranking of the value.")
};
@@ -2009,9 +2009,9 @@ const char* SC_OPCODE_LARGE_ARY[] =
const char* SC_OPCODE_SMALL_ARY[] =
{
NC_("SC_OPCODE_SMALL", "Returns the k-th smallest value of a sample."),
- NC_("SC_OPCODE_SMALL", "data"),
+ NC_("SC_OPCODE_SMALL", "Data"),
NC_("SC_OPCODE_SMALL", "The array of the data in the sample."),
- NC_("SC_OPCODE_SMALL", "Rank_c"),
+ NC_("SC_OPCODE_SMALL", "Rank c"),
NC_("SC_OPCODE_SMALL", "The ranking of the value.")
};
@@ -2019,11 +2019,11 @@ const char* SC_OPCODE_SMALL_ARY[] =
const char* SC_OPCODE_PERCENT_RANK_ARY[] =
{
NC_("SC_OPCODE_PERCENT_RANK", "Returns the percentage rank of a value in a sample."),
- NC_("SC_OPCODE_PERCENT_RANK", "data"),
+ NC_("SC_OPCODE_PERCENT_RANK", "Data"),
NC_("SC_OPCODE_PERCENT_RANK", "The array of the data in the sample."),
- NC_("SC_OPCODE_PERCENT_RANK", "value"),
+ NC_("SC_OPCODE_PERCENT_RANK", "Value"),
NC_("SC_OPCODE_PERCENT_RANK", "The value for which percentage ranking is to be determined."),
- NC_("SC_OPCODE_PERCENT_RANK", "significance"),
+ NC_("SC_OPCODE_PERCENT_RANK", "Significance"),
NC_("SC_OPCODE_PERCENT_RANK", "The number of significant digits for the returned percentage: if omitted, a value of 3 is used.")
};
@@ -2031,11 +2031,11 @@ const char* SC_OPCODE_PERCENT_RANK_ARY[] =
const char* SC_OPCODE_PERCENT_RANK_EXC_ARY[] =
{
NC_("SC_OPCODE_PERCENT_RANK_EXC", "Returns the percentage rank (0..1, exclusive) of a value in a sample."),
- NC_("SC_OPCODE_PERCENT_RANK_EXC", "data"),
+ NC_("SC_OPCODE_PERCENT_RANK_EXC", "Data"),
NC_("SC_OPCODE_PERCENT_RANK_EXC", "The array of the data in the sample."),
- NC_("SC_OPCODE_PERCENT_RANK_EXC", "value"),
+ NC_("SC_OPCODE_PERCENT_RANK_EXC", "Value"),
NC_("SC_OPCODE_PERCENT_RANK_EXC", "The value for which percentage ranking is to be determined."),
- NC_("SC_OPCODE_PERCENT_RANK_EXC", "significance"),
+ NC_("SC_OPCODE_PERCENT_RANK_EXC", "Significance"),
NC_("SC_OPCODE_PERCENT_RANK_EXC", "The number of significant digits for the returned percentage: if omitted, a value of 3 is used.")
};
@@ -2043,11 +2043,11 @@ const char* SC_OPCODE_PERCENT_RANK_EXC_ARY[] =
const char* SC_OPCODE_PERCENT_RANK_INC_ARY[] =
{
NC_("SC_OPCODE_PERCENT_RANK_INC", "Returns the percentage rank (0..1, inclusive) of a value in a sample."),
- NC_("SC_OPCODE_PERCENT_RANK_INC", "data"),
+ NC_("SC_OPCODE_PERCENT_RANK_INC", "Data"),
NC_("SC_OPCODE_PERCENT_RANK_INC", "The array of the data in the sample."),
- NC_("SC_OPCODE_PERCENT_RANK_INC", "value"),
+ NC_("SC_OPCODE_PERCENT_RANK_INC", "Value"),
NC_("SC_OPCODE_PERCENT_RANK_INC", "The value for which percentage ranking is to be determined."),
- NC_("SC_OPCODE_PERCENT_RANK_INC", "significance"),
+ NC_("SC_OPCODE_PERCENT_RANK_INC", "Significance"),
NC_("SC_OPCODE_PERCENT_RANK_INC", "The number of significant digits for the returned percentage: if omitted, a value of 3 is used.")
};
@@ -2055,7 +2055,7 @@ const char* SC_OPCODE_PERCENT_RANK_INC_ARY[] =
const char* SC_OPCODE_RANK_ARY[] =
{
NC_("SC_OPCODE_RANK", "Returns the ranking of a value in a sample."),
- NC_("SC_OPCODE_RANK", "value"),
+ NC_("SC_OPCODE_RANK", "Value"),
NC_("SC_OPCODE_RANK", "The value for which the rank is to be determined."),
NC_("SC_OPCODE_RANK", "Data"),
NC_("SC_OPCODE_RANK", "The array of the data in the sample."),
@@ -2067,7 +2067,7 @@ const char* SC_OPCODE_RANK_ARY[] =
const char* SC_OPCODE_RANK_EQ_ARY[] =
{
NC_("SC_OPCODE_RANK_EQ", "Returns the ranking of a value in a sample; if more than one value has the same rank, the top rank of that set of values is returned."),
- NC_("SC_OPCODE_RANK_EQ", "value"),
+ NC_("SC_OPCODE_RANK_EQ", "Value"),
NC_("SC_OPCODE_RANK_EQ", "The value for which the rank is to be determined."),
NC_("SC_OPCODE_RANK_EQ", "Data"),
NC_("SC_OPCODE_RANK_EQ", "The array of the data in the sample."),
@@ -2079,7 +2079,7 @@ const char* SC_OPCODE_RANK_EQ_ARY[] =
const char* SC_OPCODE_RANK_AVG_ARY[] =
{
NC_("SC_OPCODE_RANK_AVG", "Returns the ranking of a value in a sample; if more than one value has the same rank, the average rank is returned."),
- NC_("SC_OPCODE_RANK_AVG", "value"),
+ NC_("SC_OPCODE_RANK_AVG", "Value"),
NC_("SC_OPCODE_RANK_AVG", "The value for which the rank is to be determined."),
NC_("SC_OPCODE_RANK_AVG", "Data"),
NC_("SC_OPCODE_RANK_AVG", "The array of the data in the sample."),
@@ -2091,7 +2091,7 @@ const char* SC_OPCODE_RANK_AVG_ARY[] =
const char* SC_OPCODE_TRIM_MEAN_ARY[] =
{
NC_("SC_OPCODE_TRIM_MEAN", "Returns the mean of a sample without including the marginal values."),
- NC_("SC_OPCODE_TRIM_MEAN", "data"),
+ NC_("SC_OPCODE_TRIM_MEAN", "Data"),
NC_("SC_OPCODE_TRIM_MEAN", "The array of the data in the sample."),
NC_("SC_OPCODE_TRIM_MEAN", "Alpha"),
NC_("SC_OPCODE_TRIM_MEAN", "The percentage of marginal data that is not to be taken into account.")
@@ -2101,9 +2101,9 @@ const char* SC_OPCODE_TRIM_MEAN_ARY[] =
const char* SC_OPCODE_PROB_ARY[] =
{
NC_("SC_OPCODE_PROB", "Returns the discrete probability of an interval."),
- NC_("SC_OPCODE_PROB", "data"),
+ NC_("SC_OPCODE_PROB", "Data"),
NC_("SC_OPCODE_PROB", "The sample data array."),
- NC_("SC_OPCODE_PROB", "probability"),
+ NC_("SC_OPCODE_PROB", "Probability"),
NC_("SC_OPCODE_PROB", "The array of the associated probabilities."),
NC_("SC_OPCODE_PROB", "Start"),
NC_("SC_OPCODE_PROB", "The start of the value interval whose probabilities is to be totalled."),
@@ -2115,13 +2115,13 @@ const char* SC_OPCODE_PROB_ARY[] =
const char* SC_OPCODE_B_ARY[] =
{
NC_("SC_OPCODE_B", "Returns the probability of a trial result using binomial distribution."),
- NC_("SC_OPCODE_B", "trials"),
+ NC_("SC_OPCODE_B", "Trials"),
NC_("SC_OPCODE_B", "The number of trials."),
NC_("SC_OPCODE_B", "SP"),
NC_("SC_OPCODE_B", "The individual probability of a trial result."),
- NC_("SC_OPCODE_B", "T_1"),
+ NC_("SC_OPCODE_B", "T 1"),
NC_("SC_OPCODE_B", "Lower limit for the number of trials."),
- NC_("SC_OPCODE_B", "T_2"),
+ NC_("SC_OPCODE_B", "T 2"),
NC_("SC_OPCODE_B", "Upper limit for the number of trials.")
};
@@ -2129,7 +2129,7 @@ const char* SC_OPCODE_B_ARY[] =
const char* SC_OPCODE_PHI_ARY[] =
{
NC_("SC_OPCODE_PHI", "Values of the distribution function for a standard normal distribution."),
- NC_("SC_OPCODE_PHI", "number"),
+ NC_("SC_OPCODE_PHI", "Number"),
NC_("SC_OPCODE_PHI", "The value for which the standard normal distribution is to be calculated.")
};
@@ -2163,7 +2163,7 @@ const char* SC_OPCODE_BINOM_DIST_ARY[] =
NC_("SC_OPCODE_BINOM_DIST", "Values of the binomial distribution."),
NC_("SC_OPCODE_BINOM_DIST", "X"),
NC_("SC_OPCODE_BINOM_DIST", "The number of successes in a series of trials."),
- NC_("SC_OPCODE_BINOM_DIST", "trials"),
+ NC_("SC_OPCODE_BINOM_DIST", "Trials"),
NC_("SC_OPCODE_BINOM_DIST", "The total number of trials."),
NC_("SC_OPCODE_BINOM_DIST", "SP"),
NC_("SC_OPCODE_BINOM_DIST", "The success probability of a trial."),
@@ -2177,7 +2177,7 @@ const char* SC_OPCODE_BINOM_DIST_MS_ARY[] =
NC_("SC_OPCODE_BINOM_DIST_MS", "Values of the binomial distribution."),
NC_("SC_OPCODE_BINOM_DIST_MS", "X"),
NC_("SC_OPCODE_BINOM_DIST_MS", "The number of successes in a series of trials."),
- NC_("SC_OPCODE_BINOM_DIST_MS", "trials"),
+ NC_("SC_OPCODE_BINOM_DIST_MS", "Trials"),
NC_("SC_OPCODE_BINOM_DIST_MS", "The total number of trials."),
NC_("SC_OPCODE_BINOM_DIST_MS", "SP"),
NC_("SC_OPCODE_BINOM_DIST_MS", "The success probability of a trial."),
@@ -2215,11 +2215,11 @@ const char* SC_OPCODE_NEG_BINOM_DIST_MS_ARY[] =
const char* SC_OPCODE_CRIT_BINOM_ARY[] =
{
NC_("SC_OPCODE_CRIT_BINOM", "Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value."),
- NC_("SC_OPCODE_CRIT_BINOM", "trials"),
+ NC_("SC_OPCODE_CRIT_BINOM", "Trials"),
NC_("SC_OPCODE_CRIT_BINOM", "The total number of trials."),
NC_("SC_OPCODE_CRIT_BINOM", "SP"),
NC_("SC_OPCODE_CRIT_BINOM", "The success probability of a trial."),
- NC_("SC_OPCODE_CRIT_BINOM", "alpha"),
+ NC_("SC_OPCODE_CRIT_BINOM", "Alpha"),
NC_("SC_OPCODE_CRIT_BINOM", "The border probability that is attained or exceeded.")
};
@@ -2227,11 +2227,11 @@ const char* SC_OPCODE_CRIT_BINOM_ARY[] =
const char* SC_OPCODE_BINOM_INV_ARY[] =
{
NC_("SC_OPCODE_BINOM_INV", "Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value."),
- NC_("SC_OPCODE_BINOM_INV", "trials"),
+ NC_("SC_OPCODE_BINOM_INV", "Trials"),
NC_("SC_OPCODE_BINOM_INV", "The total number of trials."),
NC_("SC_OPCODE_BINOM_INV", "SP"),
NC_("SC_OPCODE_BINOM_INV", "The success probability of a trial."),
- NC_("SC_OPCODE_BINOM_INV", "alpha"),
+ NC_("SC_OPCODE_BINOM_INV", "Alpha"),
NC_("SC_OPCODE_BINOM_INV", "The border probability that is attained or exceeded.")
};
@@ -2241,7 +2241,7 @@ const char* SC_OPCODE_POISSON_DIST_ARY[] =
NC_("SC_OPCODE_POISSON_DIST", "Returns the Poisson distribution."),
NC_("SC_OPCODE_POISSON_DIST", "Number"),
NC_("SC_OPCODE_POISSON_DIST", "The value for which the Poisson distribution is to be calculated."),
- NC_("SC_OPCODE_POISSON_DIST", "mean"),
+ NC_("SC_OPCODE_POISSON_DIST", "Mean"),
NC_("SC_OPCODE_POISSON_DIST", "Mean. The mean value of the Poisson distribution."),
NC_("SC_OPCODE_POISSON_DIST", "Cumulative"),
NC_("SC_OPCODE_POISSON_DIST", "0 or FALSE calculates the probability density function. Any other value or TRUE or omitted calculates the cumulative distribution function.")
@@ -2253,7 +2253,7 @@ const char* SC_OPCODE_POISSON_DIST_MS_ARY[] =
NC_("SC_OPCODE_POISSON_DIST_MS", "Returns the Poisson distribution."),
NC_("SC_OPCODE_POISSON_DIST_MS", "Number"),
NC_("SC_OPCODE_POISSON_DIST_MS", "The value for which the Poisson distribution is to be calculated."),
- NC_("SC_OPCODE_POISSON_DIST_MS", "mean"),
+ NC_("SC_OPCODE_POISSON_DIST_MS", "Mean"),
NC_("SC_OPCODE_POISSON_DIST_MS", "Mean. The mean value of the Poisson distribution."),
NC_("SC_OPCODE_POISSON_DIST_MS", "Cumulative"),
NC_("SC_OPCODE_POISSON_DIST_MS", "0 or FALSE calculates the probability density function. Any other value or TRUE or omitted calculates the cumulative distribution function.")
@@ -2291,9 +2291,9 @@ const char* SC_OPCODE_NORM_DIST_MS_ARY[] =
const char* SC_OPCODE_NORM_INV_ARY[] =
{
NC_("SC_OPCODE_NORM_INV", "Values of the inverse normal distribution."),
- NC_("SC_OPCODE_NORM_INV", "number"),
+ NC_("SC_OPCODE_NORM_INV", "Number"),
NC_("SC_OPCODE_NORM_INV", "The probability value for which the inverse normal distribution is to be calculated."),
- NC_("SC_OPCODE_NORM_INV", "mean"),
+ NC_("SC_OPCODE_NORM_INV", "Mean"),
NC_("SC_OPCODE_NORM_INV", "The mean value. The mean value of the normal distribution."),
NC_("SC_OPCODE_NORM_INV", "STDEV"),
NC_("SC_OPCODE_NORM_INV", "Standard deviation. The standard deviation of the normal distribution.")
@@ -2303,9 +2303,9 @@ const char* SC_OPCODE_NORM_INV_ARY[] =
const char* SC_OPCODE_NORM_INV_MS_ARY[] =
{
NC_("SC_OPCODE_NORM_INV_MS", "Values of the inverse normal distribution."),
- NC_("SC_OPCODE_NORM_INV_MS", "number"),
+ NC_("SC_OPCODE_NORM_INV_MS", "Number"),
NC_("SC_OPCODE_NORM_INV_MS", "The probability value for which the inverse normal distribution is to be calculated."),
- NC_("SC_OPCODE_NORM_INV_MS", "mean"),
+ NC_("SC_OPCODE_NORM_INV_MS", "Mean"),
NC_("SC_OPCODE_NORM_INV_MS", "The mean value. The mean value of the normal distribution."),
NC_("SC_OPCODE_NORM_INV_MS", "STDEV"),
NC_("SC_OPCODE_NORM_INV_MS", "Standard deviation. The standard deviation of the normal distribution.")
@@ -2333,7 +2333,7 @@ const char* SC_OPCODE_STD_NORM_DIST_MS_ARY[] =
const char* SC_OPCODE_S_NORM_INV_ARY[] =
{
NC_("SC_OPCODE_S_NORM_INV", "Values of the inverse standard normal distribution."),
- NC_("SC_OPCODE_S_NORM_INV", "number"),
+ NC_("SC_OPCODE_S_NORM_INV", "Number"),
NC_("SC_OPCODE_S_NORM_INV", "The probability value for which the inverse standard normal distribution is to be calculated.")
};
@@ -2341,7 +2341,7 @@ const char* SC_OPCODE_S_NORM_INV_ARY[] =
const char* SC_OPCODE_S_NORM_INV_MS_ARY[] =
{
NC_("SC_OPCODE_S_NORM_INV_MS", "Values of the inverse standard normal distribution."),
- NC_("SC_OPCODE_S_NORM_INV_MS", "number"),
+ NC_("SC_OPCODE_S_NORM_INV_MS", "Number"),
NC_("SC_OPCODE_S_NORM_INV_MS", "The probability value for which the inverse standard normal distribution is to be calculated.")
};
@@ -2351,7 +2351,7 @@ const char* SC_OPCODE_LOG_NORM_DIST_ARY[] =
NC_("SC_OPCODE_LOG_NORM_DIST", "Values of the log normal distribution."),
NC_("SC_OPCODE_LOG_NORM_DIST", "Number"),
NC_("SC_OPCODE_LOG_NORM_DIST", "The value for which the log normal distribution is to be calculated."),
- NC_("SC_OPCODE_LOG_NORM_DIST", "mean"),
+ NC_("SC_OPCODE_LOG_NORM_DIST", "Mean"),
NC_("SC_OPCODE_LOG_NORM_DIST", "The mean value of the log normal distribution. It is set to 0 if omitted."),
NC_("SC_OPCODE_LOG_NORM_DIST", "STDEV"),
NC_("SC_OPCODE_LOG_NORM_DIST", "The standard deviation of the log normal distribution. It is set to 1 if omitted."),
@@ -2365,7 +2365,7 @@ const char* SC_OPCODE_LOG_NORM_DIST_MS_ARY[] =
NC_("SC_OPCODE_LOG_NORM_DIST_MS", "Values of the log normal distribution."),
NC_("SC_OPCODE_LOG_NORM_DIST_MS", "Number"),
NC_("SC_OPCODE_LOG_NORM_DIST_MS", "The value for which the log normal distribution is to be calculated."),
- NC_("SC_OPCODE_LOG_NORM_DIST_MS", "mean"),
+ NC_("SC_OPCODE_LOG_NORM_DIST_MS", "Mean"),
NC_("SC_OPCODE_LOG_NORM_DIST_MS", "The mean value of the log normal distribution."),
NC_("SC_OPCODE_LOG_NORM_DIST_MS", "STDEV"),
NC_("SC_OPCODE_LOG_NORM_DIST_MS", "The standard deviation of the log normal distribution."),
@@ -2377,9 +2377,9 @@ const char* SC_OPCODE_LOG_NORM_DIST_MS_ARY[] =
const char* SC_OPCODE_LOG_INV_ARY[] =
{
NC_("SC_OPCODE_LOG_INV", "Values of the inverse of the lognormal distribution."),
- NC_("SC_OPCODE_LOG_INV", "number"),
+ NC_("SC_OPCODE_LOG_INV", "Number"),
NC_("SC_OPCODE_LOG_INV", "The probability value for which the inverse log normal distribution is to be calculated."),
- NC_("SC_OPCODE_LOG_INV", "mean"),
+ NC_("SC_OPCODE_LOG_INV", "Mean"),
NC_("SC_OPCODE_LOG_INV", "Mean value. The mean value of the log normal distribution."),
NC_("SC_OPCODE_LOG_INV", "STDEV"),
NC_("SC_OPCODE_LOG_INV", "Standard deviation. The standard deviation of the log normal distribution.")
@@ -2389,9 +2389,9 @@ const char* SC_OPCODE_LOG_INV_ARY[] =
const char* SC_OPCODE_LOG_INV_MS_ARY[] =
{
NC_("SC_OPCODE_LOG_INV_MS", "Values of the inverse of the lognormal distribution."),
- NC_("SC_OPCODE_LOG_INV_MS", "number"),
+ NC_("SC_OPCODE_LOG_INV_MS", "Number"),
NC_("SC_OPCODE_LOG_INV_MS", "The probability value for which the inverse log normal distribution is to be calculated."),
- NC_("SC_OPCODE_LOG_INV_MS", "mean"),
+ NC_("SC_OPCODE_LOG_INV_MS", "Mean"),
NC_("SC_OPCODE_LOG_INV_MS", "Mean value. The mean value of the log normal distribution."),
NC_("SC_OPCODE_LOG_INV_MS", "STDEV"),
NC_("SC_OPCODE_LOG_INV_MS", "Standard deviation. The standard deviation of the log normal distribution.")
@@ -2403,7 +2403,7 @@ const char* SC_OPCODE_EXP_DIST_ARY[] =
NC_("SC_OPCODE_EXP_DIST", "Values of the exponential distribution."),
NC_("SC_OPCODE_EXP_DIST", "Number"),
NC_("SC_OPCODE_EXP_DIST", "The value to which the exponential distribution is to be calculated."),
- NC_("SC_OPCODE_EXP_DIST", "lambda"),
+ NC_("SC_OPCODE_EXP_DIST", "Lambda"),
NC_("SC_OPCODE_EXP_DIST", "The parameters of the exponential distribution."),
NC_("SC_OPCODE_EXP_DIST", "C"),
NC_("SC_OPCODE_EXP_DIST", "Cumulated. C=0 calculates the density function, C=1 the distribution.")
@@ -2415,7 +2415,7 @@ const char* SC_OPCODE_EXP_DIST_MS_ARY[] =
NC_("SC_OPCODE_EXP_DIST_MS", "Values of the exponential distribution."),
NC_("SC_OPCODE_EXP_DIST_MS", "Number"),
NC_("SC_OPCODE_EXP_DIST_MS", "The value to which the exponential distribution is to be calculated."),
- NC_("SC_OPCODE_EXP_DIST_MS", "lambda"),
+ NC_("SC_OPCODE_EXP_DIST_MS", "Lambda"),
NC_("SC_OPCODE_EXP_DIST_MS", "The parameters of the exponential distribution."),
NC_("SC_OPCODE_EXP_DIST_MS", "C"),
NC_("SC_OPCODE_EXP_DIST_MS", "Cumulated. C=0 calculates the density function, C=1 the distribution.")
@@ -2427,9 +2427,9 @@ const char* SC_OPCODE_GAMMA_DIST_ARY[] =
NC_("SC_OPCODE_GAMMA_DIST", "Returns the value of the probability density function or the cumulative distribution function for the Gamma distribution."),
NC_("SC_OPCODE_GAMMA_DIST", "Number"),
NC_("SC_OPCODE_GAMMA_DIST", "The value for which the gamma distribution is to be calculated."),
- NC_("SC_OPCODE_GAMMA_DIST", "alpha"),
+ NC_("SC_OPCODE_GAMMA_DIST", "Alpha"),
NC_("SC_OPCODE_GAMMA_DIST", "The Alpha parameter of the Gamma distribution."),
- NC_("SC_OPCODE_GAMMA_DIST", "beta"),
+ NC_("SC_OPCODE_GAMMA_DIST", "Beta"),
NC_("SC_OPCODE_GAMMA_DIST", "The Beta parameter of the Gamma distribution."),
NC_("SC_OPCODE_GAMMA_DIST", "Cumulative"),
NC_("SC_OPCODE_GAMMA_DIST", "0 or FALSE calculates the probability density function. Any other value or TRUE or omitted calculates the cumulative distribution function.")
@@ -2441,9 +2441,9 @@ const char* SC_OPCODE_GAMMA_DIST_MS_ARY[] =
NC_("SC_OPCODE_GAMMA_DIST_MS", "Returns the value of the probability density function or the cumulative distribution function for the Gamma distribution."),
NC_("SC_OPCODE_GAMMA_DIST_MS", "Number"),
NC_("SC_OPCODE_GAMMA_DIST_MS", "The value for which the gamma distribution is to be calculated."),
- NC_("SC_OPCODE_GAMMA_DIST_MS", "alpha"),
+ NC_("SC_OPCODE_GAMMA_DIST_MS", "Alpha"),
NC_("SC_OPCODE_GAMMA_DIST_MS", "The Alpha parameter of the Gamma distribution."),
- NC_("SC_OPCODE_GAMMA_DIST_MS", "beta"),
+ NC_("SC_OPCODE_GAMMA_DIST_MS", "Beta"),
NC_("SC_OPCODE_GAMMA_DIST_MS", "The Beta parameter of the Gamma distribution."),
NC_("SC_OPCODE_GAMMA_DIST_MS", "Cumulative"),
NC_("SC_OPCODE_GAMMA_DIST_MS", "0 or FALSE calculates the probability density function. Any other value or TRUE calculates the cumulative distribution function.")
@@ -2455,9 +2455,9 @@ const char* SC_OPCODE_GAMMA_INV_ARY[] =
NC_("SC_OPCODE_GAMMA_INV", "Values of the inverse gamma distribution."),
NC_("SC_OPCODE_GAMMA_INV", "Number"),
NC_("SC_OPCODE_GAMMA_INV", "The probability value for which the inverse gamma distribution is to be calculated."),
- NC_("SC_OPCODE_GAMMA_INV", "alpha"),
+ NC_("SC_OPCODE_GAMMA_INV", "Alpha"),
NC_("SC_OPCODE_GAMMA_INV", "The Alpha (shape) parameter of the Gamma distribution."),
- NC_("SC_OPCODE_GAMMA_INV", "beta"),
+ NC_("SC_OPCODE_GAMMA_INV", "Beta"),
NC_("SC_OPCODE_GAMMA_INV", "The Beta (scale) parameter of the Gamma distribution.")
};
@@ -2467,9 +2467,9 @@ const char* SC_OPCODE_GAMMA_INV_MS_ARY[] =
NC_("SC_OPCODE_GAMMA_INV_MS", "Values of the inverse gamma distribution."),
NC_("SC_OPCODE_GAMMA_INV_MS", "Number"),
NC_("SC_OPCODE_GAMMA_INV_MS", "The probability value for which the inverse gamma distribution is to be calculated."),
- NC_("SC_OPCODE_GAMMA_INV_MS", "alpha"),
+ NC_("SC_OPCODE_GAMMA_INV_MS", "Alpha"),
NC_("SC_OPCODE_GAMMA_INV_MS", "The Alpha (shape) parameter of the Gamma distribution."),
- NC_("SC_OPCODE_GAMMA_INV_MS", "beta"),
+ NC_("SC_OPCODE_GAMMA_INV_MS", "Beta"),
NC_("SC_OPCODE_GAMMA_INV_MS", "The Beta (scale) parameter of the Gamma distribution.")
};
@@ -2503,11 +2503,11 @@ const char* SC_OPCODE_GAMMA_ARY[] =
const char* SC_OPCODE_BETA_DIST_ARY[] =
{
NC_("SC_OPCODE_BETA_DIST", "Values of the beta distribution."),
- NC_("SC_OPCODE_BETA_DIST", "number"),
+ NC_("SC_OPCODE_BETA_DIST", "Number"),
NC_("SC_OPCODE_BETA_DIST", "The value for which the beta distribution is to be calculated."),
- NC_("SC_OPCODE_BETA_DIST", "alpha"),
+ NC_("SC_OPCODE_BETA_DIST", "Alpha"),
NC_("SC_OPCODE_BETA_DIST", "The Alpha parameter of the Beta distribution."),
- NC_("SC_OPCODE_BETA_DIST", "beta"),
+ NC_("SC_OPCODE_BETA_DIST", "Beta"),
NC_("SC_OPCODE_BETA_DIST", "The Beta parameter of the Beta distribution."),
NC_("SC_OPCODE_BETA_DIST", "Start"),
NC_("SC_OPCODE_BETA_DIST", "The starting value for the value interval of the distribution."),
@@ -2521,11 +2521,11 @@ const char* SC_OPCODE_BETA_DIST_ARY[] =
const char* SC_OPCODE_BETA_INV_ARY[] =
{
NC_("SC_OPCODE_BETA_INV", "Values of the inverse beta distribution."),
- NC_("SC_OPCODE_BETA_INV", "number"),
+ NC_("SC_OPCODE_BETA_INV", "Number"),
NC_("SC_OPCODE_BETA_INV", "The probability value for which the inverse beta distribution is to be calculated."),
- NC_("SC_OPCODE_BETA_INV", "alpha"),
+ NC_("SC_OPCODE_BETA_INV", "Alpha"),
NC_("SC_OPCODE_BETA_INV", "The Alpha parameter of the Beta distribution."),
- NC_("SC_OPCODE_BETA_INV", "beta"),
+ NC_("SC_OPCODE_BETA_INV", "Beta"),
NC_("SC_OPCODE_BETA_INV", "The Beta parameter of the Beta distribution."),
NC_("SC_OPCODE_BETA_INV", "Start"),
NC_("SC_OPCODE_BETA_INV", "The starting value for the value interval of the distribution."),
@@ -2537,11 +2537,11 @@ const char* SC_OPCODE_BETA_INV_ARY[] =
const char* SC_OPCODE_BETA_DIST_MS_ARY[] =
{
NC_("SC_OPCODE_BETA_DIST_MS", "Values of the beta distribution."),
- NC_("SC_OPCODE_BETA_DIST_MS", "number"),
+ NC_("SC_OPCODE_BETA_DIST_MS", "Number"),
NC_("SC_OPCODE_BETA_DIST_MS", "The value for which the beta distribution is to be calculated."),
- NC_("SC_OPCODE_BETA_DIST_MS", "alpha"),
+ NC_("SC_OPCODE_BETA_DIST_MS", "Alpha"),
NC_("SC_OPCODE_BETA_DIST_MS", "The Alpha parameter of the Beta distribution."),
- NC_("SC_OPCODE_BETA_DIST_MS", "beta"),
+ NC_("SC_OPCODE_BETA_DIST_MS", "Beta"),
NC_("SC_OPCODE_BETA_DIST_MS", "The Beta parameter of the Beta distribution."),
NC_("SC_OPCODE_BETA_DIST_MS", "Cumulative"),
NC_("SC_OPCODE_BETA_DIST_MS", "0 or FALSE for probability density function, any other value or TRUE or omitted for cumulative distribution function."),
@@ -2555,11 +2555,11 @@ const char* SC_OPCODE_BETA_DIST_MS_ARY[] =
const char* SC_OPCODE_BETA_INV_MS_ARY[] =
{
NC_("SC_OPCODE_BETA_INV_MS", "Values of the inverse beta distribution."),
- NC_("SC_OPCODE_BETA_INV_MS", "number"),
+ NC_("SC_OPCODE_BETA_INV_MS", "Number"),
NC_("SC_OPCODE_BETA_INV_MS", "The probability value for which the inverse beta distribution is to be calculated."),
- NC_("SC_OPCODE_BETA_INV_MS", "alpha"),
+ NC_("SC_OPCODE_BETA_INV_MS", "Alpha"),
NC_("SC_OPCODE_BETA_INV_MS", "The Alpha parameter of the Beta distribution."),
- NC_("SC_OPCODE_BETA_INV_MS", "beta"),
+ NC_("SC_OPCODE_BETA_INV_MS", "Beta"),
NC_("SC_OPCODE_BETA_INV_MS", "The Beta parameter of the Beta distribution."),
NC_("SC_OPCODE_BETA_INV_MS", "Start"),
NC_("SC_OPCODE_BETA_INV_MS", "The starting value for the value interval of the distribution."),
@@ -2575,7 +2575,7 @@ const char* SC_OPCODE_WEIBULL_ARY[] =
NC_("SC_OPCODE_WEIBULL", "The value for which the Weibull distribution is to be calculated."),
NC_("SC_OPCODE_WEIBULL", "Alpha"),
NC_("SC_OPCODE_WEIBULL", "The Alpha parameter of the Weibull distribution."),
- NC_("SC_OPCODE_WEIBULL", "beta"),
+ NC_("SC_OPCODE_WEIBULL", "Beta"),
NC_("SC_OPCODE_WEIBULL", "The Beta parameter of the Weibull distribution."),
NC_("SC_OPCODE_WEIBULL", "C"),
NC_("SC_OPCODE_WEIBULL", "Cumulated. C=0 calculates the density function, C=1 the distribution.")
@@ -2589,7 +2589,7 @@ const char* SC_OPCODE_WEIBULL_MS_ARY[] =
NC_("SC_OPCODE_WEIBULL_MS", "The value for which the Weibull distribution is to be calculated."),
NC_("SC_OPCODE_WEIBULL_MS", "Alpha"),
NC_("SC_OPCODE_WEIBULL_MS", "The Alpha parameter of the Weibull distribution."),
- NC_("SC_OPCODE_WEIBULL_MS", "beta"),
+ NC_("SC_OPCODE_WEIBULL_MS", "Beta"),
NC_("SC_OPCODE_WEIBULL_MS", "The Beta parameter of the Weibull distribution."),
NC_("SC_OPCODE_WEIBULL_MS", "C"),
NC_("SC_OPCODE_WEIBULL_MS", "Cumulated. C=0 calculates the density function, C=1 the distribution.")
@@ -2601,11 +2601,11 @@ const char* SC_OPCODE_HYP_GEOM_DIST_ARY[] =
NC_("SC_OPCODE_HYP_GEOM_DIST", "Values of the hypergeometric distribution."),
NC_("SC_OPCODE_HYP_GEOM_DIST", "X"),
NC_("SC_OPCODE_HYP_GEOM_DIST", "The number of successes in the sample."),
- NC_("SC_OPCODE_HYP_GEOM_DIST", "n_sample"),
+ NC_("SC_OPCODE_HYP_GEOM_DIST", "N sample"),
NC_("SC_OPCODE_HYP_GEOM_DIST", "The size of the sample."),
- NC_("SC_OPCODE_HYP_GEOM_DIST", "successes"),
+ NC_("SC_OPCODE_HYP_GEOM_DIST", "Successes"),
NC_("SC_OPCODE_HYP_GEOM_DIST", "The number of successes in the population."),
- NC_("SC_OPCODE_HYP_GEOM_DIST", "n_population"),
+ NC_("SC_OPCODE_HYP_GEOM_DIST", "N population"),
NC_("SC_OPCODE_HYP_GEOM_DIST", "The population size."),
NC_("SC_OPCODE_HYP_GEOM_DIST", "Cumulative"),
NC_("SC_OPCODE_HYP_GEOM_DIST", "Cumulated. TRUE calculates the cumulative distribution function, FALSE the probability mass function.")
@@ -2617,11 +2617,11 @@ const char* SC_OPCODE_HYP_GEOM_DIST_MS_ARY[] =
NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "Values of the hypergeometric distribution."),
NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "X"),
NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "The number of successes in the sample."),
- NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "n_sample"),
+ NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "N sample"),
NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "The size of the sample."),
- NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "successes"),
+ NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "Successes"),
NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "The number of successes in the population."),
- NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "n_population"),
+ NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "N population"),
NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "The population size."),
NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "Cumulative"),
NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "Cumulated. TRUE calculates the cumulative distribution function, FALSE the probability mass function.")
@@ -2633,9 +2633,9 @@ const char* SC_OPCODE_T_DIST_ARY[] =
NC_("SC_OPCODE_T_DIST", "Returns the t-distribution."),
NC_("SC_OPCODE_T_DIST", "Number"),
NC_("SC_OPCODE_T_DIST", "The value for which the T distribution is to be calculated."),
- NC_("SC_OPCODE_T_DIST", "degrees_freedom"),
+ NC_("SC_OPCODE_T_DIST", "Degrees freedom"),
NC_("SC_OPCODE_T_DIST", "The degrees of freedom of the T distribution."),
- NC_("SC_OPCODE_T_DIST", "mode"),
+ NC_("SC_OPCODE_T_DIST", "Mode"),
NC_("SC_OPCODE_T_DIST", "Mode = 1 calculates the one-tailed test, 2 = two-tailed distribution.")
};
@@ -2645,7 +2645,7 @@ const char* SC_OPCODE_T_DIST_2T_ARY[] =
NC_("SC_OPCODE_T_DIST_2T", "Returns the two-tailed t-distribution."),
NC_("SC_OPCODE_T_DIST_2T", "Number"),
NC_("SC_OPCODE_T_DIST_2T", "The value for which the T distribution is to be calculated."),
- NC_("SC_OPCODE_T_DIST_2T", "degrees_freedom"),
+ NC_("SC_OPCODE_T_DIST_2T", "Degrees freedom"),
NC_("SC_OPCODE_T_DIST_2T", "The degrees of freedom of the T distribution.")
};
@@ -2655,9 +2655,9 @@ const char* SC_OPCODE_T_DIST_MS_ARY[] =
NC_("SC_OPCODE_T_DIST_MS", "Returns the t-distribution."),
NC_("SC_OPCODE_T_DIST_MS", "Number"),
NC_("SC_OPCODE_T_DIST_MS", "The value for which the T distribution is to be calculated."),
- NC_("SC_OPCODE_T_DIST_MS", "degrees_freedom"),
+ NC_("SC_OPCODE_T_DIST_MS", "Degrees freedom"),
NC_("SC_OPCODE_T_DIST_MS", "The degrees of freedom of the T distribution."),
- NC_("SC_OPCODE_T_DIST_MS", "cumulative"),
+ NC_("SC_OPCODE_T_DIST_MS", "Cumulative"),
NC_("SC_OPCODE_T_DIST_MS", "True calculates the cumulative distribution function, false the probability density function.")
};
@@ -2667,7 +2667,7 @@ const char* SC_OPCODE_T_DIST_RT_ARY[] =
NC_("SC_OPCODE_T_DIST_RT", "Returns the right-tailed t-distribution."),
NC_("SC_OPCODE_T_DIST_RT", "Number"),
NC_("SC_OPCODE_T_DIST_RT", "The value for which the T distribution is to be calculated."),
- NC_("SC_OPCODE_T_DIST_RT", "degrees_freedom"),
+ NC_("SC_OPCODE_T_DIST_RT", "Degrees freedom"),
NC_("SC_OPCODE_T_DIST_RT", "The degrees of freedom of the T distribution.")
};
@@ -2675,9 +2675,9 @@ const char* SC_OPCODE_T_DIST_RT_ARY[] =
const char* SC_OPCODE_T_INV_ARY[] =
{
NC_("SC_OPCODE_T_INV", "Values of the inverse t-distribution."),
- NC_("SC_OPCODE_T_INV", "number"),
+ NC_("SC_OPCODE_T_INV", "Number"),
NC_("SC_OPCODE_T_INV", "The probability value for which the inverse T distribution is to be calculated."),
- NC_("SC_OPCODE_T_INV", "degrees_freedom"),
+ NC_("SC_OPCODE_T_INV", "Degrees freedom"),
NC_("SC_OPCODE_T_INV", "The degrees of freedom of the T distribution.")
};
@@ -2685,9 +2685,9 @@ const char* SC_OPCODE_T_INV_ARY[] =
const char* SC_OPCODE_T_INV_MS_ARY[] =
{
NC_("SC_OPCODE_T_INV_MS", "Values of the left-tailed inverse t-distribution."),
- NC_("SC_OPCODE_T_INV_MS", "number"),
+ NC_("SC_OPCODE_T_INV_MS", "Number"),
NC_("SC_OPCODE_T_INV_MS", "The probability value for which the inverse T distribution is to be calculated."),
- NC_("SC_OPCODE_T_INV_MS", "degrees_freedom"),
+ NC_("SC_OPCODE_T_INV_MS", "Degrees freedom"),
NC_("SC_OPCODE_T_INV_MS", "The degrees of freedom of the T distribution.")
};
@@ -2695,9 +2695,9 @@ const char* SC_OPCODE_T_INV_MS_ARY[] =
const char* SC_OPCODE_T_INV_2T_ARY[] =
{
NC_("SC_OPCODE_T_INV_2T", "Values of the two-tailed inverse t-distribution."),
- NC_("SC_OPCODE_T_INV_2T", "number"),
+ NC_("SC_OPCODE_T_INV_2T", "Number"),
NC_("SC_OPCODE_T_INV_2T", "The probability value for which the inverse T distribution is to be calculated."),
- NC_("SC_OPCODE_T_INV_2T", "degrees_freedom"),
+ NC_("SC_OPCODE_T_INV_2T", "Degrees freedom"),
NC_("SC_OPCODE_T_INV_2T", "The degrees of freedom of the T distribution.")
};
@@ -2707,9 +2707,9 @@ const char* SC_OPCODE_F_DIST_ARY[] =
NC_("SC_OPCODE_F_DIST", "Values of the F probability distribution."),
NC_("SC_OPCODE_F_DIST", "Number"),
NC_("SC_OPCODE_F_DIST", "The value for which the F distribution is to be calculated."),
- NC_("SC_OPCODE_F_DIST", "degrees_freedom_1"),
+ NC_("SC_OPCODE_F_DIST", "Degrees freedom 1"),
NC_("SC_OPCODE_F_DIST", "The degrees of freedom in the numerator of the F distribution."),
- NC_("SC_OPCODE_F_DIST", "degrees_freedom_2"),
+ NC_("SC_OPCODE_F_DIST", "Degrees freedom 2"),
NC_("SC_OPCODE_F_DIST", "The degrees of freedom in the denominator of the F distribution.")
};
@@ -2719,11 +2719,11 @@ const char* SC_OPCODE_F_DIST_LT_ARY[] =
NC_("SC_OPCODE_F_DIST_LT", "Values of the left tail F probability distribution."),
NC_("SC_OPCODE_F_DIST_LT", "Number"),
NC_("SC_OPCODE_F_DIST_LT", "The value for which the F distribution is to be calculated."),
- NC_("SC_OPCODE_F_DIST_LT", "degrees_freedom_1"),
+ NC_("SC_OPCODE_F_DIST_LT", "Degrees freedom 1"),
NC_("SC_OPCODE_F_DIST_LT", "The degrees of freedom in the numerator of the F distribution."),
- NC_("SC_OPCODE_F_DIST_LT", "degrees_freedom_2"),
+ NC_("SC_OPCODE_F_DIST_LT", "Degrees freedom 2"),
NC_("SC_OPCODE_F_DIST_LT", "The degrees of freedom in the denominator of the F distribution."),
- NC_("SC_OPCODE_F_DIST_LT", "cumulative"),
+ NC_("SC_OPCODE_F_DIST_LT", "Cumulative"),
NC_("SC_OPCODE_F_DIST_LT", "Cumulative distribution function (TRUE) or probability density function (FALSE).")
};
@@ -2733,9 +2733,9 @@ const char* SC_OPCODE_F_DIST_RT_ARY[] =
NC_("SC_OPCODE_F_DIST_RT", "Values of the right tail F probability distribution."),
NC_("SC_OPCODE_F_DIST_RT", "Number"),
NC_("SC_OPCODE_F_DIST_RT", "The value for which the F distribution is to be calculated."),
- NC_("SC_OPCODE_F_DIST_RT", "degrees_freedom_1"),
+ NC_("SC_OPCODE_F_DIST_RT", "Degrees freedom 1"),
NC_("SC_OPCODE_F_DIST_RT", "The degrees of freedom in the numerator of the F distribution."),
- NC_("SC_OPCODE_F_DIST_RT", "degrees_freedom_2"),
+ NC_("SC_OPCODE_F_DIST_RT", "Degrees freedom 2"),
NC_("SC_OPCODE_F_DIST_RT", "The degrees of freedom in the denominator of the F distribution.")
};
@@ -2743,11 +2743,11 @@ const char* SC_OPCODE_F_DIST_RT_ARY[] =
const char* SC_OPCODE_F_INV_ARY[] =
{
NC_("SC_OPCODE_F_INV", "Values of the inverse F distribution."),
- NC_("SC_OPCODE_F_INV", "number"),
+ NC_("SC_OPCODE_F_INV", "Number"),
NC_("SC_OPCODE_F_INV", "The probability value for which the inverse F distribution is to be calculated."),
- NC_("SC_OPCODE_F_INV", "degrees_freedom_1"),
+ NC_("SC_OPCODE_F_INV", "Degrees freedom 1"),
NC_("SC_OPCODE_F_INV", "The degrees of freedom in the numerator of the F distribution."),
- NC_("SC_OPCODE_F_INV", "degrees_freedom_2"),
+ NC_("SC_OPCODE_F_INV", "Degrees freedom 2"),
NC_("SC_OPCODE_F_INV", "The degrees of freedom in the denominator of the F distribution.")
};
@@ -2755,11 +2755,11 @@ const char* SC_OPCODE_F_INV_ARY[] =
const char* SC_OPCODE_F_INV_LT_ARY[] =
{
NC_("SC_OPCODE_F_INV_LT", "Values of the inverse left tail F distribution."),
- NC_("SC_OPCODE_F_INV_LT", "number"),
+ NC_("SC_OPCODE_F_INV_LT", "Number"),
NC_("SC_OPCODE_F_INV_LT", "The probability value for which the inverse F distribution is to be calculated."),
- NC_("SC_OPCODE_F_INV_LT", "degrees_freedom_1"),
+ NC_("SC_OPCODE_F_INV_LT", "Degrees freedom 1"),
NC_("SC_OPCODE_F_INV_LT", "The degrees of freedom in the numerator of the F distribution."),
- NC_("SC_OPCODE_F_INV_LT", "degrees_freedom_2"),
+ NC_("SC_OPCODE_F_INV_LT", "Degrees freedom 2"),
NC_("SC_OPCODE_F_INV_LT", "The degrees of freedom in the denominator of the F distribution.")
};
@@ -2767,11 +2767,11 @@ const char* SC_OPCODE_F_INV_LT_ARY[] =
const char* SC_OPCODE_F_INV_RT_ARY[] =
{
NC_("SC_OPCODE_F_INV_RT", "Values of the inverse right tail F distribution."),
- NC_("SC_OPCODE_F_INV_RT", "number"),
+ NC_("SC_OPCODE_F_INV_RT", "Number"),
NC_("SC_OPCODE_F_INV_RT", "The probability value for which the inverse F distribution is to be calculated."),
- NC_("SC_OPCODE_F_INV_RT", "degrees_freedom_1"),
+ NC_("SC_OPCODE_F_INV_RT", "Degrees freedom 1"),
NC_("SC_OPCODE_F_INV_RT", "The degrees of freedom in the numerator of the F distribution."),
- NC_("SC_OPCODE_F_INV_RT", "degrees_freedom_2"),
+ NC_("SC_OPCODE_F_INV_RT", "Degrees freedom 2"),
NC_("SC_OPCODE_F_INV_RT", "The degrees of freedom in the denominator of the F distribution.")
};
@@ -2781,7 +2781,7 @@ const char* SC_OPCODE_CHI_DIST_ARY[] =
NC_("SC_OPCODE_CHI_DIST", "Returns the right-tail probability of the chi-square distribution."),
NC_("SC_OPCODE_CHI_DIST", "Number"),
NC_("SC_OPCODE_CHI_DIST", "The value for which the chi square distribution is to be calculated."),
- NC_("SC_OPCODE_CHI_DIST", "degrees_freedom"),
+ NC_("SC_OPCODE_CHI_DIST", "Degrees freedom"),
NC_("SC_OPCODE_CHI_DIST", "The degrees of freedom of the chi square distribution.")
};
@@ -2791,7 +2791,7 @@ const char* SC_OPCODE_CHI_DIST_MS_ARY[] =
NC_("SC_OPCODE_CHI_DIST_MS", "Returns the right-tail probability of the chi-square distribution."),
NC_("SC_OPCODE_CHI_DIST_MS", "Number"),
NC_("SC_OPCODE_CHI_DIST_MS", "The value for which the chi square distribution is to be calculated."),
- NC_("SC_OPCODE_CHI_DIST_MS", "degrees_freedom"),
+ NC_("SC_OPCODE_CHI_DIST_MS", "Degrees freedom"),
NC_("SC_OPCODE_CHI_DIST_MS", "The degrees of freedom of the chi square distribution.")
};
@@ -2826,9 +2826,9 @@ const char* SC_OPCODE_CHISQ_DIST_MS_ARY[] =
const char* SC_OPCODE_CHI_INV_ARY[] =
{
NC_("SC_OPCODE_CHI_INV", "Values of the inverse of CHIDIST(x; DegreesOfFreedom)."),
- NC_("SC_OPCODE_CHI_INV", "number"),
+ NC_("SC_OPCODE_CHI_INV", "Number"),
NC_("SC_OPCODE_CHI_INV", "The probability value for which the inverse chi square distribution is to be calculated."),
- NC_("SC_OPCODE_CHI_INV", "degrees_freedom"),
+ NC_("SC_OPCODE_CHI_INV", "Degrees freedom"),
NC_("SC_OPCODE_CHI_INV", "The degrees of freedom of the chi square distribution.")
};
@@ -2837,9 +2837,9 @@ const char* SC_OPCODE_CHI_INV_ARY[] =
const char* SC_OPCODE_CHI_INV_MS_ARY[] =
{
NC_("SC_OPCODE_CHI_INV_MS", "Values of the inverse of CHIDIST(x; DegreesOfFreedom)."),
- NC_("SC_OPCODE_CHI_INV_MS", "number"),
+ NC_("SC_OPCODE_CHI_INV_MS", "Number"),
NC_("SC_OPCODE_CHI_INV_MS", "The probability value for which the inverse chi square distribution is to be calculated."),
- NC_("SC_OPCODE_CHI_INV_MS", "degrees_freedom"),
+ NC_("SC_OPCODE_CHI_INV_MS", "Degrees freedom"),
NC_("SC_OPCODE_CHI_INV_MS", "The degrees of freedom of the chi square distribution.")
};
@@ -2872,7 +2872,7 @@ const char* SC_OPCODE_STANDARD_ARY[] =
NC_("SC_OPCODE_STANDARD", "Converts a random variable to a normalized value."),
NC_("SC_OPCODE_STANDARD", "Number"),
NC_("SC_OPCODE_STANDARD", "The value to be standardized."),
- NC_("SC_OPCODE_STANDARD", "mean"),
+ NC_("SC_OPCODE_STANDARD", "Mean"),
NC_("SC_OPCODE_STANDARD", "The mean value used for moving."),
NC_("SC_OPCODE_STANDARD", "STDEV"),
NC_("SC_OPCODE_STANDARD", "The standard deviation used for scaling.")
@@ -2882,9 +2882,9 @@ const char* SC_OPCODE_STANDARD_ARY[] =
const char* SC_OPCODE_PERMUT_ARY[] =
{
NC_("SC_OPCODE_PERMUT", "Returns the number of permutations for a given number of elements without repetition."),
- NC_("SC_OPCODE_PERMUT", "Count_1"),
+ NC_("SC_OPCODE_PERMUT", "Count 1"),
NC_("SC_OPCODE_PERMUT", "The total number of elements."),
- NC_("SC_OPCODE_PERMUT", "Count_2"),
+ NC_("SC_OPCODE_PERMUT", "Count 2"),
NC_("SC_OPCODE_PERMUT", "The selection number taken from the elements.")
};
@@ -2892,9 +2892,9 @@ const char* SC_OPCODE_PERMUT_ARY[] =
const char* SC_OPCODE_PERMUTATION_A_ARY[] =
{
NC_("SC_OPCODE_PERMUTATION_A", "Returns the number of permutations for a given number of objects (repetition allowed)."),
- NC_("SC_OPCODE_PERMUTATION_A", "Count_1"),
+ NC_("SC_OPCODE_PERMUTATION_A", "Count 1"),
NC_("SC_OPCODE_PERMUTATION_A", "The total number of elements."),
- NC_("SC_OPCODE_PERMUTATION_A", "Count_2"),
+ NC_("SC_OPCODE_PERMUTATION_A", "Count 2"),
NC_("SC_OPCODE_PERMUTATION_A", "The selection number taken from the elements.")
};
@@ -2902,11 +2902,11 @@ const char* SC_OPCODE_PERMUTATION_A_ARY[] =
const char* SC_OPCODE_CONFIDENCE_ARY[] =
{
NC_("SC_OPCODE_CONFIDENCE", "Returns a (1-alpha) confidence interval for a normal distribution."),
- NC_("SC_OPCODE_CONFIDENCE", "alpha"),
+ NC_("SC_OPCODE_CONFIDENCE", "Alpha"),
NC_("SC_OPCODE_CONFIDENCE", "The level of the confidence interval."),
NC_("SC_OPCODE_CONFIDENCE", "STDEV"),
NC_("SC_OPCODE_CONFIDENCE", "The standard deviation of the population."),
- NC_("SC_OPCODE_CONFIDENCE", "size"),
+ NC_("SC_OPCODE_CONFIDENCE", "Size"),
NC_("SC_OPCODE_CONFIDENCE", "The size of the population.")
};
@@ -2914,11 +2914,11 @@ const char* SC_OPCODE_CONFIDENCE_ARY[] =
const char* SC_OPCODE_CONFIDENCE_N_ARY[] =
{
NC_("SC_OPCODE_CONFIDENCE_N", "Returns a (1-alpha) confidence interval for a normal distribution."),
- NC_("SC_OPCODE_CONFIDENCE_N", "alpha"),
+ NC_("SC_OPCODE_CONFIDENCE_N", "Alpha"),
NC_("SC_OPCODE_CONFIDENCE_N", "The level of the confidence interval."),
NC_("SC_OPCODE_CONFIDENCE_N", "STDEV"),
NC_("SC_OPCODE_CONFIDENCE_N", "The standard deviation of the population."),
- NC_("SC_OPCODE_CONFIDENCE_N", "size"),
+ NC_("SC_OPCODE_CONFIDENCE_N", "Size"),
NC_("SC_OPCODE_CONFIDENCE_N", "The size of the population.")
};
@@ -2926,11 +2926,11 @@ const char* SC_OPCODE_CONFIDENCE_N_ARY[] =
const char* SC_OPCODE_CONFIDENCE_T_ARY[] =
{
NC_("SC_OPCODE_CONFIDENCE_T", "Returns a (1-alpha) confidence interval for a Student's t distribution."),
- NC_("SC_OPCODE_CONFIDENCE_T", "alpha"),
+ NC_("SC_OPCODE_CONFIDENCE_T", "Alpha"),
NC_("SC_OPCODE_CONFIDENCE_T", "The level of the confidence interval."),
NC_("SC_OPCODE_CONFIDENCE_T", "STDEV"),
NC_("SC_OPCODE_CONFIDENCE_T", "The standard deviation of the population."),
- NC_("SC_OPCODE_CONFIDENCE_T", "size"),
+ NC_("SC_OPCODE_CONFIDENCE_T", "Size"),
NC_("SC_OPCODE_CONFIDENCE_T", "The size of the population.")
};
@@ -2938,7 +2938,7 @@ const char* SC_OPCODE_CONFIDENCE_T_ARY[] =
const char* SC_OPCODE_Z_TEST_ARY[] =
{
... etc. - the rest is truncated
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