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@sheetxl/studio-vanilla

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SheetXL Studio - Vanilla entry point for integrating SheetXL UI.

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"use strict";/** * @license @sheetxl/studio-vanilla - SheetXL Studio - Vanilla entry point for integrating SheetXL UI. - v0.6.4 * * (C) 2025-present SheetXL Inc. & Michael T. Ford * License: The license can be found at https://www.sheetxl.com/license. */Object.defineProperty(exports,Symbol.toStringTag,{value:"Module"});exports.default={"BETA.DIST":{s:"Returns the beta probability distribution function",p:{x:{d:"is the value between A and B at which to evaluate the function"},alpha:{d:"is a parameter to the distribution and must be greater than 0"},beta:{d:"is a parameter to the distribution and must be greater than 0"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability density function, use FALSE"},a:{d:"lower bound to the interval of x",v:0},b:{d:"upper bound to the interval of x",v:1}}},BETADIST:{s:"Returns the cumulative beta probability density function",p:{x:{d:"is the value between A and B at which to evaluate the function"},alpha:{d:"is a parameter to the distribution and must be greater than 0"},beta:{d:"is a parameter to the distribution and must be greater than 0"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability density function, use FALSE"},a:{d:"lower bound to the interval of x",v:0},b:{d:"upper bound to the interval of x",v:1}},c:"Compatibility"},"BETA.INV":{s:"Returns the inverse of the cumulative beta probability density function (BETA.DIST)",p:{probability:{d:"is a probability associated with the beta distribution"},alpha:{d:"is a parameter to the distribution and must be greater than 0"},beta:{d:"is a parameter to the distribution and must be greater than 0"},a:{d:"lower bound to the interval of x",v:0},b:{d:"upper bound to the interval of x",v:1}}},BETAINV:{s:"Returns the inverse of the cumulative beta probability density function (BETADIST)",p:{probability:{d:"is a probability associated with the beta distribution"},alpha:{d:"is a parameter to the distribution and must be greater than 0"},beta:{d:"is a parameter to the distribution and must be greater than 0"},a:{d:"lower bound to the interval of x",v:0},b:{d:"upper bound to the interval of x",v:1}},c:"Compatibility"},"BINOM.DIST":{s:"Returns the individual term binomial distribution probability",p:{numberS:{d:"is the number of successes in trials"},trials:{d:"is the number of independent trials"},probabilityS:{d:"is the probability of success on each trial"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability mass function, use FALSE"}}},BINOMDIST:{s:"Returns the individual term binomial distribution probability",p:{numberS:{d:"is the number of successes in trials"},trials:{d:"is the number of independent trials"},probabilityS:{d:"is the probability of success on each trial"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability mass function, use FALSE"}},c:"Compatibility"},"BINOM.DIST.RANGE":{s:"Returns the probability of a trial result using a binomial distribution",p:{trials:{d:"is the number of independent trials"},probabilityS:{d:"is the probability of success on each trial"},numberS:{d:"is the number of successes in trials"},numberS2:{d:"if provided this function returns the probability that the number of successful trials shall lie between number_s and number_s2",v:"numberS"}}},"BINOM.INV":{s:"Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value",p:{trials:{d:"is the number of Bernoulli trials"},probabilityS:{d:"is the probability of success on each trial, a number between 0 and 1 inclusive"},alpha:{d:"is the criterion value, a number between 0 and 1 inclusive"}}},"CHISQ.DIST":{s:"Returns the left-tailed probability of the chi-squared distribution",p:{x:{d:"is the value at which you want to evaluate the distribution, a nonnegative number"},degFreedom:{d:"is the number of degrees of freedom, a number between 1 and 10^10, excluding 10^10"},cumulative:{d:"is a logical value for the function to return: the cumulative distribution function = TRUE; the probability density function = FALSE",v:!1}}},CHIDIST:{s:"Returns the right-tailed probability of the chi-squared distribution",p:{x:{d:"is the value at which you want to evaluate the distribution, a nonnegative number"},degFreedom:{d:"is the number of degrees of freedom, a number between 1 and 10^10, excluding 10^10"}},c:"Compatibility"},"CHISQ.DIST.RT":{s:"Returns the right-tailed probability of the chi-squared distribution",p:{x:{d:"is the value at which you want to evaluate the distribution, a nonnegative number"},degFreedom:{d:"is the number of degrees of freedom, a number between 1 and 10^10, excluding 10^10"}}},"CHISQ.INV":{s:"Returns the inverse of the left-tailed probability of the chi-squared distribution",p:{probability:{d:"is a probability associated with the chi-squared distribution, a value between 0 and 1 inclusive"},degFreedom:{d:"is the number of degrees of freedom, a number between 1 and 10^10, excluding 10^10"}}},CHIINV:{s:"Returns the inverse of the right-tailed probability of the chi-squared distribution",p:{probability:{d:"is a probability associated with the chi-squared distribution, a value between 0 and 1 inclusive"},degFreedom:{d:"is the number of degrees of freedom, a number between 1 and 10^10, excluding 10^10"}},c:"Compatibility"},"CHISQ.INV.RT":{s:"Returns the right-tailed probability of the chi-squared distribution",p:{probability:{d:"is a probability associated with the chi-squared distribution, a value between 0 and 1 inclusive"},degFreedom:{d:"is the number of degrees of freedom, a number between 1 and 10^10, excluding 10^10"}}},"CHISQ.TEST":{s:"Returns the test for independence: the value from the chi-squared distribution for the statistic and the appropriate degrees of freedom",p:{actualRange:{d:"is the range of data that contains observations to test against expected values"},expectedRange:{d:"is the range of data that contains the ratio of the product of row totals and column totals to the grand total"}}},CHITEST:{s:"Returns the test for independence: the value from the chi-squared distribution for the statistic and the appropriate degrees of freedom",p:{actualRange:{d:"is the range of data that contains observations to test against expected values"},expectedRange:{d:"is the range of data that contains the ratio of the product of row totals and column totals to the grand total"}},c:"Compatibility"},"CONFIDENCE.NORM":{s:"Returns the confidence interval for a population mean, using a normal distribution",p:{alpha:{d:"is the significance level used to compute the confidence level, a number greater than 0 and less than 1"},standardDev:{d:"is the population standard deviation for the data range and is assumed to be known. Standard_dev must be greater than 0"},size:{d:"is the sample size"}}},CONFIDENCE:{s:"Returns the confidence interval for a population mean, using a normal distribution",p:{alpha:{d:"is the significance level used to compute the confidence level, a number greater than 0 and less than 1"},std:{d:"is the population standard deviation for the data range and is assumed to be known. Standard_dev must be greater than 0"},dev:{d:"is the population standard deviation for the data range and is assumed to be known. Standard_dev must be greater than 0"},size:{d:"is the sample size"}},c:"Compatibility"},"CONFIDENCE.T":{s:"Returns the confidence interval for a population mean, using a Student's T distribution",p:{alpha:{d:"is the significance level used to compute the confidence level, a number greater than 0 and less than 1"},standardDev:{d:"is the population standard deviation for the data range and is assumed to be known. Standard_dev must be greater than 0"},size:{d:"is the sample size"}}},CORREL:{s:"Returns the correlation coefficient between two data sets",p:{array1:{d:"is a cell range of values. The values should be numbers, names, arrays, or references that contain numbers"},array2:{d:"is a second cell range of values. The values should be numbers, names, arrays, or references that contain numbers"}}},"COVARIANCE.P":{s:"Returns population covariance, the average of the products of deviations for each data point pair in two data sets",p:{array1:{d:"is the first cell range of integers and must be numbers, arrays, or references that contain numbers"},array2:{d:"is the second cell range of integers and must be numbers, arrays, or references that contain numbers"}}},COVARIANCE:{s:"Returns population covariance, the average of the products of deviations for each data point pair in two data sets",p:{array1:{d:"is the first cell range of integers and must be numbers, arrays, or references that contain numbers"},array2:{d:"is the second cell range of integers and must be numbers, arrays, or references that contain numbers"}},c:"Compatibility"},"COVARIANCE.S":{s:"Returns sample covariance, the average of the products of deviations for each data point pair in two data sets",p:{array1:{d:"is the first cell range of integers and must be numbers, arrays, or references that contain numbers"},array2:{d:"is the second cell range of integers and must be numbers, arrays, or references that contain numbers"}}},CRITBINOM:{s:"Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value",p:{trails:{d:"is the number of Bernoulli trials"},probabilityS:{d:"is the probability of success on each trial, a number between 0 and 1 inclusive"},alpha:{d:"is the criterion value, a number between 0 and 1 inclusive"}},c:"Compatibility",h:"Unimplemented"},DEVSQ:{s:"Returns the sum of squares of deviations of data points from their sample mean",p:{number:{d:"number1,number2,... are 1 to 255 arguments, or an array or array reference, on which you want DEVSQ to calculate"}}},"EXPON.DIST":{s:"Returns the exponential distribution",p:{x:{d:"is the value of the function, a nonnegative number"},lambda:{d:"is the parameter value, a positive number"},cumulative:{d:"is a logical value for the function to return: the cumulative distribution function = TRUE; the probability density function = FALSE"}}},EXPONDIST:{s:"Returns the exponential distribution",p:{x:{d:"is the value of the function, a nonnegative number"},lambda:{d:"is the parameter value, a positive number"},cumulative:{d:"is a logical value for the function to return: the cumulative distribution function = TRUE; the probability density function = FALSE"}},c:"Compatibility"},"F.DIST":{s:"Returns the (left-tailed) F probability distribution (degree of diversity) for two data sets",p:{x:{d:"is the value at which to evaluate the function, a nonnegative number"},degFreedom1:{d:"is the numerator degrees of freedom, a number between 1 and 10^10, excluding 10^10"},degFreedom2:{d:"is the denominator degrees of freedom, a number between 1 and 10^10, excluding 10^10"},cumulative:{d:"is a logical value for the function to return: the cumulative distribution function = TRUE; the probability density function = FALSE"}}},FDIST:{s:"Returns the (left-tailed) F probability distribution (degree of diversity) for two data sets",p:{x:{d:"is the value at which to evaluate the function, a nonnegative number"},degFreedom1:{d:"is the numerator degrees of freedom, a number between 1 and 10^10, excluding 10^10"},degFreedom2:{d:"is the denominator degrees of freedom, a number between 1 and 10^10, excluding 10^10"}},c:"Compatibility"},"F.DIST.RT":{s:"Returns the (right-tailed) F probability distribution (degree of diversity) for two data sets",p:{x:{d:"is the value at which to evaluate the function, a nonnegative number"},degFreedom1:{d:"is the numerator degrees of freedom, a number between 1 and 10^10, excluding 10^10"},degFreedom2:{d:"is the denominator degrees of freedom, a number between 1 and 10^10, excluding 10^10"}}},"F.INV":{s:"Returns the inverse of the (left-tailed) F probability distribution: if p = F.DIST(x,...), then F.INV(p,...) = x",p:{probability:{d:"is a probability associated with the F cumulative distribution, a number between 0 and 1 inclusive"},degFreedom1:{d:"is the numerator degrees of freedom, a number between 1 and 10^10, excluding 10^10"},degFreedom2:{d:"is the denominator degrees of freedom, a number between 1 and 10^10, excluding 10^10"}}},FINV:{s:"Returns the inverse of the (left-tailed) F probability distribution: if p = F.DIST(x,...), then F.INV(p,...) = x",p:{probability:{d:"is a probability associated with the F cumulative distribution, a number between 0 and 1 inclusive"},degFreedom1:{d:"is the numerator degrees of freedom, a number between 1 and 10^10, excluding 10^10"},degFreedom2:{d:"is the denominator degrees of freedom, a number between 1 and 10^10, excluding 10^10"}},c:"Compatibility"},"F.INV.RT":{s:"Returns the inverse of the (right-tailed) F probability distribution: if p = F.DIST.RT(x,...), then F.INV.RT(p,...) = x",p:{probability:{d:"is a probability associated with the F cumulative distribution, a number between 0 and 1 inclusive"},degFreedom1:{d:"is the numerator degrees of freedom, a number between 1 and 10^10, excluding 10^10"},degFreedom2:{d:"is the denominator degrees of freedom, a number between 1 and 10^10, excluding 10^10"}}},"F.TEST":{s:"Returns the result of an F-test, the two-tailed probability that the variances in Array1 and Array2 are not significantly different",p:{array1:{d:"is the first array or range of data and can be numbers or names, arrays, or references that contain numbers (blanks are ignored)"},array2:{d:"is the second array or range of data and can be numbers or names, arrays, or references that contain numbers (blanks are ignored)"}}},FTEST:{s:"Returns the result of an F-test, the two-tailed probability that the variances in Array1 and Array2 are not significantly different",p:{array1:{d:"is the first array or range of data and can be numbers or names, arrays, or references that contain numbers (blanks are ignored)"},array2:{d:"is the second array or range of data and can be numbers or names, arrays, or references that contain numbers (blanks are ignored)"}},c:"Compatibility"},FISHER:{s:"Returns the Fisher transformation",p:{x:{d:"is the value for which you want the transformation, a number between -1 and 1, excluding -1 and 1"}}},FISHERINV:{s:"Returns the inverse of the Fisher transformation: if y = FISHER(x), then FISHERINV(y) = x",p:{y:{d:"is the value for which you want to perform the inverse of the transformation"}}},FORECAST:{s:"Calculates, or predicts, a future value along a linear trend by using existing values",p:{x:{d:"is the data point for which you want to predict a value and must be a numeric value"},knownYs:{d:"is the dependent array or range of numeric data",v:null},knownXs:{d:"is the independent array or range of numeric data. The variance of Known_x's must not be zero",v:null}},c:"Compatibility"},"FORECAST.ETS":{s:"Returns the forecasted value for a specific future target date using exponential smoothing method",p:{targetDate:{d:"is the data point for which you want to predict a value. It should carry on the pattern of values in the timeline"},values:{d:"is the array or range of numberic data you're predicting"},timeline:{d:"is the independent array or range of numberic data. The dtes in the timeline must have a consistent step between them and can't be zero."},seasonality:{d:"is a number value that indicates the length of the seasonal pattern in the data. It must be between 0 and 1, where 0 means no seasonality and 1 means full seasonality",v:.95},dataCompletion:{d:"is a number value that indicates how much of the data is complete. It must be between 0 and 1, where 0 means no data is complete and 1 means all data is complete",v:1},aggregation:{d:"is a number value that indicates how the data should be aggregated. It must be between 0 and 1, where 0 means no aggregation and 1 means full aggregation",v:1}},h:"Unimplemented"},"FORECAST.ETS.CONFINT":{s:"Retursn a confidence interval for the forecasted value at the specified target date",p:{targetDate:{d:"is the data point for which you want to predict a value. It should carry on the pattern of values in the timeline"},values:{d:"is the array or range of numberic data you're predicting"},timeline:{d:"is the independent array or range of numberic data. The dtes in the timeline must have a consistent step between them and can't be zero."},confiedenceLevel:{d:"is a number value that indicates the confidence level for the forecasted value. It must be between 0 and 1, where 0 means no confidence and 1 means full confidence",v:.95},seasonality:{d:"is a number value that indicates the length of the seasonal pattern in the data. It must be between 0 and 1, where 0 means no seasonality and 1 means full seasonality",v:.95},dataCompletion:{d:"is a number value that indicates how much of the data is complete. It must be between 0 and 1, where 0 means no data is complete and 1 means all data is complete",v:1},aggregation:{d:"is a number value that indicates how the data should be aggregated. It must be between 0 and 1, where 0 means no aggregation and 1 means full aggregation",v:1}},h:"Unimplemented"},"FORECAST.ETS.SEASONALITY":{s:"Returns the length of the repetitive pattern in the data for the specific time series.",p:{values:{d:"is the array or range of numberic data you're predicting"},timeline:{d:"is the independent array or range of numberic data. The dtes in the timeline must have a consistent step between them and can't be zero."},dataCompletion:{d:"is a number value that indicates how much of the data is complete. It must be between 0 and 1, where 0 means no data is complete and 1 means all data is complete",v:1},aggregation:{d:"is a number value that indicates how the data should be aggregated. It must be between 0 and 1, where 0 means no aggregation and 1 means full aggregation",v:1}},h:"Unimplemented"},"FORECAST.ETS.STAT":{s:"Returns the requested statistic for the forecast",p:{values:{d:"is the array or range of numberic data you're predicting"},timeline:{d:"is the independent array or range of numberic data. The dtes in the timeline must have a consistent step between them and can't be zero."},statisticType:{d:"is a number between 1 and 8 that indicates the type of statistic to return:"},seasonality:{d:"is a number value that indicates the length of the seasonal pattern in the data. It must be between 0 and 1, where 0 means no seasonality and 1 means full seasonality",v:1},dataCompletion:{d:"is a number value that indicates how much of the data is complete. It must be between 0 and 1, where 0 means no data is complete and 1 means all data is complete",v:1},aggregation:{d:"is a number value that indicates how the data should be aggregated. It must be between 0 and 1, where 0 means no aggregation and 1 means full aggregation",v:1}},h:"Unimplemented"},"FORECAST.LINEAR":{s:"Calculates, or predicts, a future value along a linear trend by using existing values",p:{x:{d:"is the data point for which you want to predict a value and must be a numeric value"},knownYs:{d:"is the dependent array or range of numeric data"},knownXs:{d:"is the independent array or range of numeric data. The variance of Known_x's must not be zero",v:null}},h:"Unimplemented"},FREQUENCY:{s:"Calculates how often values occur within a range of values and then returns a vertical array of numbers having one more element than Bins_array",p:{dataArray:{d:"is an array of or reference to a set of values for which you want to count frequencies (blanks and text are ignored)"},binsArray:{d:"is an array of or reference to intervals into which you want to group the values in data_array"}}},GAMMA:{s:"Returns the Gamma function value",p:{x:{d:"is the value for which you want to calculate Gamma"}}},"GAMMA.DIST":{s:"Returns the gamma distribution",p:{x:{d:"is the value at which you want to evaluate the distribution, a nonnegative number"},alpha:{d:"is a parameter to the distribution, a positive number"},beta:{d:"is a parameter to the distribution, a positive number. If beta = 1, GAMMA.DIST returns the standard gamma distribution"},cumulative:{d:"is a logical value: return the cumulative distribution function = TRUE; return the probability mass function = FALSE",v:!1}}},"GAMMA.INV":{s:"Returns the inverse of the gamma cumulative distribution: if p = GAMMA.DIST(x,...), then GAMMA.INV(p,...) = x",p:{probability:{d:"is the probability associated with the gamma distribution, a number between 0 and 1, inclusive"},alpha:{d:"is a parameter to the distribution, a positive number"},beta:{d:"is a parameter to the distribution, a positive number. If beta = 1, GAMMA.DIST returns the standard gamma distribution"}}},GAMMALN:{s:"Returns the natural logarithm of the gamma function",p:{x:{d:"is the value for which you want to calculate GAMMALN, a positive number"}}},"GAMMALN.PRECISE":{s:"Returns the natural logarithm of the gamma function",p:{x:{d:"is the value for which you want to calculate GAMMALN.PRECISE, a positive number"}}},GAUSS:{s:"Returns 0.5 less than the standard normal cumulative distribution",p:{x:{d:"is the value for which you want the distribution"}}},GEOMEAN:{s:"Returns the geometric mean of an array or range of positive numeric data",p:{number:{d:"number1,number2,... are 1 to 255 numbers or names, arrays, or references that contain numbers for which you want the mean"}}},GROWTH:{s:"Returns numbers in an exponential growth trend matching known data points",p:{knownYs:{d:"is the set of y-values you already know in the relationship y = b*m^x, an array or range of positive numbers"},knownXs:{d:"is an optional set of x-values that you may already know in the relationship y = b*m^x, an array or range the same size as Known_y's",v:null},newXs:{d:"are new x-values for which you want GROWTH to return corresponding y-values",v:null},useConst:{d:"is a logical value: the constant b is calculated normally if Const = TRUE; b is set equal to 1 if Const = FALSE",v:!0}}},HARMEAN:{s:"Returns the harmonic mean of a data set of positive numbers: the reciprocal of the arithmetic mean of reciprocals",p:{number:{d:"number1,number2,... are 1 to 255 numbers or names, arrays, or references that contain numbers for which you want the harmonic mean"}}},"HYPGEOM.DIST":{s:"Returns the hypergeometric distribution",p:{sampleS:{d:"is the number of successes in the sample"},numberSample:{d:"is the size of the sample"},populationS:{d:"is the number of successes in the population"},numberPop:{d:"is the population size"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability density function, use FALSE"}}},INTERCEPT:{s:"Calculates the point at which a line will intersect the y-axis by using a best-fit regression line plotted through the known x-values and y-values",p:{knownYs:{d:"is the dependent set of observations or data and can be numbers or names, arrays, or references that contain numbers"},knownXs:{d:"is the independent set of observations or data and can be numbers or names, arrays, or references that contain numbers"}}},KURT:{s:"Returns the kurtosis of a data set",p:{number:{d:"number1,number2,... are 1 to 255 numbers or names, arrays, or references that contain numbers for which you want the kurtosis"}}},LINEST:{s:"Returns statistics that describe a linear trend matching known data points, by fitting a straight line using the least squares method",p:{knownYs:{d:"is the set of y-values you already know in the relationship y = mx + b"},knownXs:{d:"is an optional set of x-values that you may already know in the relationship y = mx + b",v:null},constant:{d:"is a logical value: the constant b is calculated normally if Const = TRUE; b is set equal to 0 if Const = FALSE",v:!0},stats:{d:"is a logical value: return additional regression statistics = TRUE; return m-coefficients and the constant b = FALSE",v:!1}}},LOGEST:{s:"Returns statistics that describe an exponential curve matching known data points",p:{knownYs:{d:"is the set of y-values you already know in the relationship y = b*m^x"},knownXs:{d:"is an optional set of x-values that you may already know in the relationship y = b*m^x",v:null},constant:{d:"is a logical value: the constant b is calculated normally if Const = TRUE; b is set equal to 1 if Const = FALSE",v:!0},stats:{d:"is a logical value: return additional regression statistics = TRUE; return m-coefficients and the constant b = FALSE",v:!1}},h:"Unimplemented Buggy"},"LOGNORM.DIST":{s:"Returns the lognormal distribution of x, where ln(x) is normally distributed with parameters Mean and Standard_dev",p:{x:{d:"is the value at which to evaluate the function, a positive number"},mean:{d:"is the mean of ln(x)"},standardDev:{d:"is the standard deviation of ln(x), a positive number"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability density function, use FALSE"}}},"LOGNORM.INV":{s:"Returns the inverse of the lognormal cumulative distribution function of x, where ln(x) is normally distributed with parameters Mean and Standard_dev",p:{probability:{d:"is a probability associated with the lognormal distribution, a number between 0 and 1, inclusive"},mean:{d:"is the mean of ln(x)"},standardDev:{d:"is the standard deviation of ln(x), a positive number"}}},"MODE.MULT":{s:"Returns a vertical array of the most frequently occurring, or repetitive, values in an array or range of data. For a horizontal array, use =TRANSPOSE(MODE.MULT(number1,number2,...))",p:{number:{d:'<div class="param-538">number1,number2,... are 1 to 255 numbers, or names, arrays, or references that contain numbers for which you want the mode</div>'}},h:"Unimplemented"},"MODE.SNGL":{s:"Returns the most frequently occurring, or repetitive, value in an array or range of data",p:{number:{d:"number1,number2,... are 1 to 255 numbers, or names, arrays, or references that contain numbers for which you want the mode"}},h:"Unimplemented"},"NEGBINOM.DIST":{s:"Returns the negative binomial distribution, the probability that there will be Number_f failures before the Number_s-th success, with Probability_s probability of a success",p:{numberF:{d:"is the number of failures"},numberS:{d:"is the threshold number of successes"},probabilityS:{d:"is the probability of a success; a number between 0 and 1"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability mass function, use FALSE"}}},"NORM.DIST":{s:"Returns the normal distribution for the specified mean and standard deviation",p:{x:{d:"is the value for which you want the distribution"},mean:{d:"is the arithmetic mean of the distribution"},standardDev:{d:"is the standard deviation of the distribution, a positive number"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability density function, use FALSE"}}},"NORM.INV":{s:"Returns the inverse of the normal cumulative distribution for the specified mean and standard deviation",p:{probability:{d:"is a probability corresponding to the normal distribution, a number between 0 and 1 inclusive"},mean:{d:"is the arithmetic mean of the distribution"},standardDev:{d:"is the standard deviation of the distribution, a positive number"}}},"NORM.S.DIST":{s:"Returns the standard normal distribution (has a mean of zero and a standard deviation of one)",p:{z:{d:"is the value for which you want the distribution"},cumulative:{d:"is a logical value for the function to return: the cumulative distribution function = TRUE; the probability density function = FALSE"}}},"NORM.S.INV":{s:"Returns the inverse of the standard normal cumulative distribution (has a mean of zero and a standard deviation of one)",p:{probability:{d:"is a probability corresponding to the normal distribution, a number between 0 and 1 inclusive"}}},PEARSON:{s:"Returns the Pearson product moment correlation coefficient, r",p:{array1:{d:"is a set of independent values"},array2:{d:"is a set of dependent values"}}},"PERCENTILE.EXC":{s:"Returns the k-th percentile of values in a range, where k is in the range 0..1, exclusive",p:{array:{d:"is the array or range of data that defines relative standing"},k:{d:"is the percentile value that is between 0 through 1, inclusive"}},h:"Unimplemented"},"PERCENTILE.INC":{s:"Returns the k-th percentile of values in a range, where k is in the range 0..1, inclusive",p:{array:{d:"is the array or range of data that defines relative standing"},k:{d:"is the percentile value that is between 0 through 1, inclusive"}},h:"Unimplemented"},"PERCENTRANK.EXC":{s:"Returns the rank of a value in a data set as a percentage (0..1, exclusive) of the data set",p:{array:{d:"is the array or range of data with numeric values that defines relative standing"},x:{d:"is the value for which you want to know the rank"},significance:{d:"is an optional value that identifies the number of significant digits for the returned percentage",v:3}},h:"Unimplemented"},"PERCENTRANK.INC":{s:"Returns the rank of a value in a data set as a percentage (0..1, inclusive) of the data set",p:{array:{d:"is the array or range of data with numeric values that defines relative standing"},x:{d:"is the value for which you want to know the rank"},significance:{d:"is an optional value that identifies the number of significant digits for the returned percentage",v:3}},h:"Unimplemented"},PHI:{s:"Returns the value of the density function for a standard normal distribution",p:{x:{d:"is the number for which you want the density of the standard normal distribution"}}},"POISSON.DIST":{s:"Returns the Poisson distribution",p:{x:{d:"is the number of events"},mean:{d:"is the expected numeric value, a positive number"},cumulative:{d:"is a logical value: for the cumulative Poisson probability, use TRUE; for the Poisson probability mass function, use FALSE"}}},PROB:{s:"Returns the probability that values in a range are between two limits or equal to a lower limit",p:{xRange:{d:"is the range of numeric values of x with which there are associated probabilities"},probRange:{d:"is the set of probabilities associated with values in X_range, values between 0 and 1 and excluding 0"},lowerLimit:{d:"is the lower bound on the value for which you want a probability"},upperLimit:{d:"is the optional upper bound on the value. If omitted, PROB returns the probability that X_range values are equal to Lower_limit"}}},"QUARTILE.EXC":{s:"Returns the quartile of a data set, based on percentile values from 0..1, exclusive",p:{array:{d:"is the array or cell range of numeric values for which you want the quartile value"},quart:{d:"is a number: minimum value = 0; 1st quartile = 1; median value = 2; 3rd quartile = 3; maximum value = 4"}},h:"Unimplemented"},"QUARTILE.INC":{s:"Returns the quartile of a data set, based on percentile values from 0..1, inclusive",p:{array:{d:"is the array or cell range of numeric values for which you want the quartile value"},quart:{d:"is a number: minimum value = 0; 1st quartile = 1; median value = 2; 3rd quartile = 3; maximum value = 4"}},h:"Unimplemented"},"RANK.AVG":{s:"Returns the rank of a number in a list of numbers: its size relative to other values in the list; if more than one value has the same rank, the average rank is returned",p:{number:{d:"is the number for which you want to find the rank"},ref:{d:"is an array of, or a reference to, a list of numbers. Nonnumeric values are ignored"},order:{d:"is a number: rank in the list sorted descending = 0; rank in the list sorted ascending = any nonzero value",v:0}},h:"Unimplemented"},"RANK.EQ":{s:"Returns the rank of a number in a list of numbers: its size relative to other values in the list; if more than one value has the same rank, the top rank of that set of values is returned",p:{number:{d:"is the number for which you want to find the rank"},ref:{d:"is an array of, or a reference to, a list of numbers. Nonnumeric values are ignored"},order:{d:"is a number: rank in the list sorted descending = 0; rank in the list sorted ascending = any nonzero value",v:0}},h:"Unimplemented"},RSQ:{s:"Returns the square of the Pearson product moment correlation coefficient through the given data points",p:{knownYs:{d:"is an array or range of data points and can be numbers or names, arrays, or references that contain numbers"},knownXs:{d:"is an array or range of data points and can be numbers or names, arrays, or references that contain numbers"}},h:"Unimplemented"},SKEW:{s:"Returns the skewness of a distribution: a characterization of the degree of asymmetry of a distribution around its mean",p:{number:{d:"number1,number2,... are 1 to 255 numbers or names, arrays, or references that contain numbers for which you want the skewness"}},h:"Unimplemented"},"SKEW.P":{s:"Returns the skewness of a distribution based on a population: a characterization of the degree of asymmetry of a distribution around its mean",p:{number:{d:"number1,number2,... are 1 to 254 numbers or names, arrays, or references that contain numbers for which you want the population skewness"}},h:"Unimplemented"},SLOPE:{s:"Returns the slope of the linear regression line through the given data points",p:{knownYs:{d:"is an array or cell range of numeric dependent data points and can be numbers or names, arrays, or references that contain numbers"},knownXs:{d:"iis the set of independent data points and can be numbers or names, arrays, or references that contain numbers"}}},STANDARDIZE:{s:"Returns a normalized value from a distribution characterized by a mean and standard deviation",p:{x:{d:"is the value you want to normalize"},mean:{d:"is the arithmetic mean of the distribution"},standardDev:{d:"is the standard deviation of the distribution, a positive number"}}},"STDEV.P":{s:"Calculates standard deviation based on the entire population given as arguments (ignores logical values and text)",p:{number:{d:"number1,number2,... are 1 to 255 numbers corresponding to a population and can be numbers or references that contain numbers"}},h:"Unimplemented"},"STDEV.S":{s:"Estimates standard deviation based on a sample (ignores logical values and text in the sample)",p:{number:{d:"number1,number2,... are 1 to 255 numbers corresponding to a sample of a population and can be numbers or references that contain numbers"}}},STDEVA:{s:"Estimates standard deviation based on a sample, including logical values and text. Text and the logical value FALSE have the value 0; the logical value TRUE has the value 1",p:{value:{d:"value1,value2,... are 1 to 255 values corresponding to a sample of a population and can be values or names or references to values"}},h:"Unimplemented"},STDEVPA:{s:"Calculates standard deviation based on an entire population, including logical values and text. Text and the logical value FALSE have the value 0; the logical value TRUE has the value 1",p:{value:{d:"value1,value2,... are 1 to 255 values corresponding to a population and can be values, names, arrays, or references that contain values"}},h:"Unimplemented"},STEYX:{s:"Returns the standard error of the predicted y-value for each x in a regression",p:{knownYs:{d:"is an array or range of dependent data points and can be numbers or names, arrays, or references that contain numbers"},knownXs:{d:"is an array or range of independent data points and can be numbers or names, arrays, or references that contain numbers"}},h:"Unimplemented"},"T.DIST":{s:"Returns the left-tailed Student's t-distribution",p:{x:{d:"is the numeric value at which to evaluate the distribution"},degFreedom:{d:"is an integer indicating the number of degrees of freedom that characterize the distribution"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability density function, use FALSE"}}},"T.DIST.2T":{s:"Returns the two-tailed Student's t-distribution",p:{x:{d:"is the numeric value at which to evaluate the distribution"},degFreedom:{d:"is an integer indicating the number of degrees of freedom that characterize the distribution"}}},"T.DIST.RT":{s:"Returns the right-tailed Student's t-distribution",p:{x:{d:"is the numeric value at which to evaluate the distribution"},degFreedom:{d:"is an integer indicating the number of degrees of freedom that characterize the distribution"}}},"T.INV":{s:"Returns the left-tailed inverse of the Student's t-distribution",p:{probability:{d:"is the probability associated with the two-tailed Student's t-distribution, a number between 0 and 1 inclusive"},degFreedom:{d:"is a positive integer indicating the number of degrees of freedom to characterize the distribution"}}},"T.INV.2T":{s:"Returns the two-tailed inverse of the Student's t-distribution",p:{probability:{d:"is the probability associated with the two-tailed Student's t-distribution, a number between 0 and 1 inclusive"},degFreedom:{d:"is a positive integer indicating the number of degrees of freedom to characterize the distribution"}}},"T.TEST":{s:"Returns the probability associated with a Student's t-Test",p:{array1:{d:"is the first data set"},array2:{d:"is the second data set"},tails:{d:"specifies the number of distribution tails to return: one-tailed distribution = 1; two-tailed distribution = 2"},type:{d:"is the kind of t-test: paired = 1, two-sample equal variance (homoscedastic) = 2, two-sample unequal variance = 3"}},h:"Unimplemented"},TREND:{s:"Returns numbers in a linear trend matching known data points, using the least squares method",p:{knownYs:{d:"is a range or array of y-values you already know in the relationship y = mx + b"},knownXs:{d:"is an optional range or array of x-values that you know in the relationship y = mx + b, an array the same size as Known_y's",v:null},newXs:{d:"is a range or array of new x-values for which you want TREND to return corresponding y-values",v:null},consts:{d:"is a logical value: the constant b is calculated normally if Const = TRUE; b is set equal to 0 if Const = FALSE",v:!0}},h:"Unimplemented"},TRIMMEAN:{s:"Returns the mean of the interior portion of a set of data values",p:{array:{d:"is the range or array of values to trim and average"},percent:{d:"is the fractional number of data points to exclude from the top and bottom of the data set"}},h:"Unimplemented"},"VAR.P":{s:"Calculates variance based on the entire population (ignores logical values and text in the population)",p:{number:{d:"number1,number2,... are 1 to 255 numeric arguments corresponding to a population"}}},"VAR.S":{s:"Estimates variance based on a sample (ignores logical values and text in the sample)",p:{number:{d:"number1,number2,... are 1 to 255 numeric arguments corresponding to a sample of a population"}}},VARA:{s:"Estimates variance based on a sample, including logical values and text. Text and the logical value FALSE have the value 0; the logical value TRUE has the value 1",p:{value:{d:"value1,value2,... are 1 to 255 value arguments corresponding to a sample of a population"}}},VARPA:{s:"Calculates variance based on the entire population, including logical values and text. Text and the logical value FALSE have the value 0; the logical value TRUE has the value 1",p:{value:{d:"value1,value2,... are 1 to 255 value arguments corresponding to a population"}}},"WEIBULL.DIST":{s:"Returns the Weibull distribution",p:{x:{d:"is the value at which to evaluate the function, a nonnegative number"},alpha:{d:"is a parameter to the distribution, a positive number"},beta:{d:"is a parameter to the distribution, a positive number"},cumulative:{d:"is a logical value: for the cumulative distribution function, use TRUE; for the probability mass function, use FALSE"}}},"Z.TEST":{s:"Returns the one-tailed P-value of a z-test",p:{array:{d:"is the array or range of data against which to test X"},x:{d:"is the value to test"},sigma:{d:"is the population (known) standard deviation. If omitted, the sample standard deviation is used",v:0}}}};