diff --git a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/fixed.htm b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/fixed.htm index f228fead1..4fba09bc1 100644 --- a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/fixed.htm +++ b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/fixed.htm @@ -17,12 +17,28 @@
The FIXED function is one of the text and data functions. Is used to return the text representation of a number rounded to a specified number of decimal places.
FIXED(number [,[num-decimal] [,suppress-commas-flag])
+FIXED(number, [decimals], [no_commas])
The FIXED function has the following arguments:
-number is a number to round.
-num-decimal is a number of decimal places to display. It is an optional argument, if it's omitted, the function will assume it to be 2.
-suppress-commas-flag is a logical value. If it is set to TRUE, the function will return the result without commas. If it is FALSE or omitted, the result will be displayed with commas.
-Argument | +Description | +
---|---|
number | +A number to round. | +
decimals | +A number of decimal places to display. It is an optional argument, if it's omitted, the function will assume it to be 2. | +
no_commas | +A logical value. If it is set to TRUE, the function will return the result without commas. If it is FALSE or omitted, the result will be displayed with commas. | +
How to apply the FIXED function.
The FLOOR.MATH function is one of the math and trigonometry functions. It is used to round a number down to the nearest integer or to the nearest multiple of significance.
FLOOR.MATH(x [, [significance] [, [mode]])
+FLOOR.MATH(number, [significance], [mode])
The FLOOR.MATH function has the following arguments:
-x is the number you wish to round down.
-significance is the multiple of significance you wish to round down to. It is an optional parameter. If it is omitted, the default value of 1 is used.
-mode specifies if negative numbers are rounded towards or away from zero. It is an optional parameter that does not affect positive numbers. If it is omitted or set to 0, negative numbers are rounded away from zero. If any other numeric value is specified, negative numbers are rounded towards zero.
-Argument | +Description | +
---|---|
number | +A number you wish to round down. | +
significance | +A multiple of significance you wish to round down to. It is an optional argument. If it is omitted, the default value of 1 is used. | +
mode | +Specifies if negative numbers are rounded towards or away from zero. It is an optional parameter that does not affect positive numbers. If it is omitted or set to 0, negative numbers are rounded away from zero. If any other numeric value is specified, negative numbers are rounded towards zero. | +
How to apply the FLOOR.MATH function.
The FLOOR.PRECISE function is one of the math and trigonometry functions. It is used to return a number that is rounded down to the nearest integer or to the nearest multiple of significance. The number is always rounded down regardless of its sing.
FLOOR.PRECISE(x [, significance])
+FLOOR.PRECISE(number, [significance])
The FLOOR.PRECISE function has the following arguments:
-x is the number you wish to round down.
-significance is the multiple of significance you wish to round down to. It is an optional parameter. If it is omitted, the default value of 1 is used. If it is set to zero, the function returns 0.
-Argument | +Description | +
---|---|
number | +A number you wish to round down. | +
significance | +A multiple of significance you wish to round down to. It is an optional argument. If it is omitted, the default value of 1 is used. If it is set to zero, the function returns 0. | +
How to apply the FLOOR.PRECISE function.
The FLOOR function is one of the math and trigonometry functions. It is used to round the number down to the nearest multiple of significance.
FLOOR(x, significance)
+FLOOR(number, significance)
The FLOOR function has the following arguments:
-x is a number you wish to round down.
-significance is a multiple of significance you wish to round down to.
-Note: if the values of x and significance have different signs, the function returns the #NUM! error.
+Argument | +Description | +
---|---|
number | +A number you wish to round down. | +
significance | +A multiple of significance you wish to round down to. | +
If the values of x and significance have different signs, the function returns the #NUM! error.
How to apply the FLOOR function.
FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation])
The FORECAST.ETS.CONFINT function has the following arguments:
-target_date is a date for which you want to predict a new value. Must be after the last date in the timeline.
-values is a range of the historical values for which you want to predict a new point.
-timeline is a range of date/time values that correspond to the historical values. The timeline range must be of the same size as the values range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the data_completion argument and duplicate values can be aggregated as specified by the aggregation argument).
-confidence_level is a numeric value between 0 and 1 (exclusive) that specifies the confidence level for the calculated confidence interval. It is an optional argument. If it is omitted, the default value of 0.95 is used.
-seasonality is a numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below.
+Argument | +Description | +
---|---|
target_date | +A date for which you want to predict a new value. Must be after the last date in the timeline. | +
values | +A range of the historical values for which you want to predict a new point. | +
timeline | +A range of date/time values that correspond to the historical values. The timeline range must be of the same size as the values range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the data_completion argument and duplicate values can be aggregated as specified by the aggregation argument). | +
confidence_level | +A numeric value between 0 and 1 (exclusive) that specifies the confidence level for the calculated confidence interval. It is an optional argument. If it is omitted, the default value of 0.95 is used. | +
seasonality | +A numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below. | +
data_completion | +A numeric value that specifies how to process the missing data points in the timeline data range. It is an optional argument. The possible values are listed in the table below. | +
aggregation | +A numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table belows. | +
The seasonality argument can be one of the following:
Numeric value | -Behavior | +Numeric value | +Behavior |
---|---|---|---|
1 or omitted | @@ -42,11 +72,11 @@The specified number is used for the length of the seasonal pattern. |
data_completion is a numeric value that specifies how to process the missing data points in the timeline data range. It is an optional argument. The possible values are listed in the table below.
+The data_completion argument can be one of the following:
Numeric value | -Behavior | +Numeric value | +Behavior |
---|---|---|---|
1 or omitted | @@ -57,11 +87,11 @@Missing points are treated as zero values. |
aggregation is a numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table below.
+The aggregation argument can be one of the following:
Numeric value | -Function | +Numeric value | +Function | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 or omitted | diff --git a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets-seasonality.htm b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets-seasonality.htm index 66f3c5d32..cf24217a1 100644 --- a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets-seasonality.htm +++ b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets-seasonality.htm @@ -19,13 +19,33 @@
Argument | +Description | +
---|---|
values | +A range of the historical values for which you want to predict a new point. | +
timeline | +A range of date/time values that correspond to the historical values. The timeline range must be of the same size as the values range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the data_completion argument and duplicate values can be aggregated as specified by the aggregation argument). | +
data_completion | +A numeric value that specifies how to process the missing data points in the timeline data range. It is an optional argument. The possible values are listed in the table below. | +
aggregation | +A numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table belows. | +
The data_completion argument can be one of the following:
Numeric value | -Behavior | +Numeric value | +Behavior |
---|---|---|---|
1 or omitted | @@ -36,11 +56,11 @@Missing points are treated as zero values. |
aggregation is a numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table below.
+The aggregation argument can be one of the following:
Numeric value | -Function | +Numeric value | +Function | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 or omitted | diff --git a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets-stat.htm b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets-stat.htm index 946acd3a1..f2d56f395 100644 --- a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets-stat.htm +++ b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets-stat.htm @@ -19,13 +19,41 @@
Argument | +Description | +
---|---|
values | +A range of the historical values for which you want to predict a new point. | +
timeline | +A range of date/time values that correspond to the historical values. The timeline range must be of the same size as the values range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the data_completion argument and duplicate values can be aggregated as specified by the aggregation argument). | +
statistic_type | +A numeric value between 1 and 8 that specifies which statistic will be returned. The possible values are listed in the table below. | +
seasonality | +A numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below. | +
data_completion | +A numeric value that specifies how to process the missing data points in the timeline data range. It is an optional argument. The possible values are listed in the table below. | +
aggregation | +A numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table belows. | +
The statistic_type argument can be one of the following:
Numeric value | -Statistic | +Numeric value | +Statistic |
---|---|---|---|
1 | @@ -60,11 +88,11 @@Step size detected in the timeline. |
seasonality is a numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below.
+The seasonality argument can be one of the following:
Numeric value | -Behavior | +Numeric value | +Behavior |
---|---|---|---|
1 or omitted | @@ -79,11 +107,11 @@The specified number is used for the length of the seasonal pattern. |
data_completion is a numeric value that specifies how to process the missing data points in the timeline data range. It is an optional argument. The possible values are listed in the table below.
+The data_completion argument can be one of the following:
Numeric value | -Behavior | +Numeric value | +Behavior |
---|---|---|---|
1 or omitted | @@ -94,11 +122,11 @@Missing points are treated as zero values. |
aggregation is a numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table below.
+The aggregation argument can be one of the following:
Numeric value | -Function | +Numeric value | +Function | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 or omitted | diff --git a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets.htm b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets.htm index f7cc59e6c..f6ddc5318 100644 --- a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets.htm +++ b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-ets.htm @@ -19,14 +19,41 @@
Argument | +Description | +
---|---|
target_date | +A date for which you want to predict a new value. Must be after the last date in the timeline. | +
values | +A range of the historical values for which you want to predict a new point. | +
timeline | +A range of date/time values that correspond to the historical values. The timeline range must be of the same size as the values range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the data_completion argument and duplicate values can be aggregated as specified by the aggregation argument). | +
seasonality | +A numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below. | +
data_completion | +A numeric value that specifies how to process the missing data points in the timeline data range. It is an optional argument. The possible values are listed in the table below. | +
aggregation | +A numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table belows. | +
The seasonality argument can be one of the following:
Numeric value | -Behavior | +Numeric value | +Behavior |
---|---|---|---|
1 or omitted | @@ -41,11 +68,11 @@The specified number is used for the length of the seasonal pattern. |
data_completion is a numeric value that specifies how to process the missing data points in the timeline data range. It is an optional argument. The possible values are listed in the table below.
+The data_completion argument can be one of the following:
Numeric value | -Behavior | +Numeric value | +Behavior |
---|---|---|---|
1 or omitted | @@ -56,11 +83,11 @@Missing points are treated as zero values. |
aggregation is a numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table below.
+The aggregation argument can be one of the following:
Numeric value | -Function | +Numeric value | +Function | |||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 or omitted | diff --git a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-linear.htm b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-linear.htm index b349664ee..163d8082f 100644 --- a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-linear.htm +++ b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/forecast-linear.htm @@ -19,10 +19,26 @@
Argument | +Description | +
---|---|
x | +An x-value used to predict the y-value. | +
known_y's | +An array of known y-values. | +
known_x's | +An array of known x-values. | +
How to apply the FORECAST.LINEAR function.
The FORECAST function is one of the statistical functions. It is used to predict a future value based on existing values provided.
FORECAST(x, array-1, array-2)
+FORECAST(x, known_y's, known_x's)
The FORECAST function has the following arguments:
-x is an x-value used to predict the y-value, a numeric value entered manually or included into the cell you make reference to.
-array-1(2) is the selected range of cells with the same number of elements.
-Argument | +Description | +
---|---|
x | +An x-value used to predict the y-value. | +
known_y's | +The dependent data range. | +
known_x's | +The independent data range with the same number of elements as known_y's contains. | +
How to apply the FORECAST function.
The FORMULATEXT function is one of the lookup and reference functions. It is used to return a formula as a string (i.e. the text string that is displayed in the formula bar if you select the cell that contains the formula).
FORMULATEXT(reference)
-The FORMULATEXT function has the following argument:
reference is a reference to a single cell or a range of cells.
-The FORMULATEXT function has the following argument:
+Argument | +Description | +
---|---|
reference | +A reference to a single cell or a range of cells. | +
If the referenced cell range contains more than one formula, the FORMULATEXT function returns the value from the upper left cell of this range. If the referenced cell does not contain a formula, the FORMULATEXT function returns the N/A error value.
How to apply the FORMULATEXT function.
diff --git a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/frequency.htm b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/frequency.htm index c8edf3760..c9843a433 100644 --- a/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/frequency.htm +++ b/Web/OfficeWeb/apps/spreadsheeteditor/main/resources/help/en/Functions/frequency.htm @@ -17,11 +17,24 @@The FREQUENCY function is one of the statistical functions. It is used to сalculate how often values occur within the selected range of cells and display the first value of the returned vertical array of numbers.
FREQUENCY(data-array, bins-array)
+FREQUENCY(data_array, bins_array)
The FREQUENCY function has the following arguments:
-data-array is the selected range of cells you want to count the frequencies for,
-bins-array is the selected range of cells containing intervals into which you want to group the values in data-array.
-Argument | +Description | +
---|---|
data_array | +The selected range of cells you want to count the frequencies for. | +
bins_array | +The selected range of cells containing intervals into which you want to group the values in data_array. | +
How to apply the FREQUENCY function.
FVSCHEDULE(principal, schedule)
The FVSCHEDULE function has the following arguments:
-principal is the current value of an investment.
-schedule is an array or a range of interest rates.
-Note: schedule values can be numbers or empty cells (they are interpreted as 0).
+Argument | +Description | +
---|---|
principal | +The current value of an investment. | +
schedule | +An array or a range of interest rates. | +
Schedule values can be numbers or empty cells (they are interpreted as 0).
How to apply the FVSCHEDULE function.
GAMMA.DIST(x, alpha, beta, cumulative)
The GAMMA.DIST function has the following arguments:
-x is the value at which the function should be calculated. A numeric value greater than 0.
-alpha is the first parameter of the distribution, a numeric value greater than 0.
-beta is the second parameter of the distribution, a numeric value greater than 0. If beta is 1, the function returns the standard gamma distribution.
-cumulative is a logical value (TRUE or FALSE) that determines the function form. If it is TRUE, the function returns the cumulative distribution function. If it is FALSE, the function returns the probability density function.
-Argument | +Description | +
---|---|
x | +The value at which the function should be calculated. A numeric value greater than 0. | +
alpha | +The first parameter of the distribution, a numeric value greater than 0. | +
beta | +The second parameter of the distribution, a numeric value greater than 0. If beta is 1, the function returns the standard gamma distribution. | +
cumulative | +A logical value (TRUE or FALSE) that determines the function form. If it is TRUE, the function returns the cumulative distribution function. If it is FALSE, the function returns the probability density function. | +
How to apply the GAMMA.DIST function.
GAMMA.INV(probability, alpha, beta)
The GAMMA.INV function has the following arguments:
-probability is the probability associated with the gamma distribution. A numeric value greater than 0 but less than 1.
-alpha is the first parameter of the distribution, a numeric value greater than 0.
-beta is the second parameter of the distribution, a numeric value greater than 0. If beta is 1, the function returns the standard gamma distribution.
-Argument | +Description | +
---|---|
probability | +The probability associated with the gamma distribution. A numeric value greater than 0 but less than 1. | +
alpha | +The first parameter of the distribution, a numeric value greater than 0. | +
beta | +The second parameter of the distribution, a numeric value greater than 0. If beta is 1, the function returns the standard gamma distribution. | +
How to apply the GAMMA.INV function.
The GAMMA function is one of the statistical functions. It is used to return the gamma function value.
GAMMA(number)
-The GAMMA function has the following argument:
number is a numeric value entered manually or included into the cell you make reference to.
-Note: if the number is a negative integer or 0 the function returns the #NUM! error value.
+The GAMMA function has the following argument:
+Argument | +Description | +
---|---|
number | +A numeric value. | +
If the number is a negative integer or 0 the function returns the #NUM! error value.
How to apply the GAMMA function.
The figure below displays the result returned by the GAMMA function.
- +