P
Function
Purpose Statement
Computes the sample partial autocorrelation function of a stationary time series.
Performs a pairs test.
Computes partial correlations or covariances from the covariance or correlation matrix.
Permutes the rows or columns of a matrix.
Rearranges the elements of an array as specified by a permutation.
Computes the periodogram of a stationary time series using a fast Fourier transform.
Sets or retrieves page width and length for printing.
Analyzes time event data via the proportional hazards model.
Prints a plot of up to ten sets of points.
Performs partial least squares regression for one or more response variables and a set of one or more predictor variables.
Evaluates the Poisson cumulative distribution function.
Estimates the parameter of the Poisson distribution.
Evaluates the Poisson probability density function.
Computes principal components from a variance‑covariance matrix or a correlation matrix.
Prints a probability plot.
Performs iterative proportional fitting of a contingency table using a loglinear model.
Published date: 03/19/2020
Last modified date: 03/19/2020