Computes simultaneous confidence intervals on all pairwise differences of means.

Sorts columns of a real rectangular matrix using keys in rows.

Prints a scatterplot of several groups of data.

Performs the Cox and Stuart sign test for trends in dispersion and location.

Determines an optimal differencing for seasonal adjustments of a time series.

Performs a sign test of the hypothesis that a given value is a specified quantile of a distribution.

Computes statistics for inferences regarding the population proportion and total, given proportion data from a simple random sample.

Computes statistics for inferences regarding the population proportion and total, given proportion data from a stratified random sample.

Computes statistics for inferences regarding the population mean and total using ratio or regression estimation, or inferences regarding the population ratio, given a simple random sample.

Computes statistics for inferences regarding the population mean and total using ratio or regression estimation, given continuous data from a stratified random sample.

Computes statistics for inferences regarding the population mean and total using single‑stage cluster sampling with continuous data.

Computes statistics for inferences regarding the population mean and total, given data from a simple random sample.

Computes statistics for inferences regarding the population mean and total, given data from a stratified random sample.

Computes statistics for inferences regarding the population mean and total, given continuous data from a two‑stage sample with equisized primary units.

Performs Student‑Newman‑Keuls multiple comparison test.

Performs a Wilcoxon signed rank test.

Computes the Wiener forecast operator for a stationary stochastic process.

Performs a Shapiro‑Wilk W‑test for normality.

Searches a sorted vector for a given scalar and return its index.

Sorts rows of a real rectangular matrix using keys in columns.

Searches a character vector, sorted in ascending ASCII order, for a given string and return its index.

Estimates the nonnormalized spectral density of a stationary time series using a spectral window given the time series data.

Estimates the nonnormalized spectral density of a stationary time series using a spectral window given the periodogram.

Estimates survival probabilities and hazard rates for various parametric models.

Prints a stem‑and‑leaf plot.

Analyzes censored survival data using a generalized linear model.

Sorts an integer array by algebraic value.

Sorts an integer array by algebraic value and returns the permutations.

Sorts a real array by algebraic value.

Sorts a real array by algebraic value and returns the permutations.

Estimation of the nonnormalized spectral density of a stationary time series based on specified periodogram weights given the time series data.

Estimation of the nonnormalized spectral density of a stationary time series based on specified periodogram weights given the periodogram.