cor2cov

cor.mat

a vector that contains the standard deviations of the variables in the correlation matrix

a neighborhood of 1, such that numbers on the main diagonal of the correlation matrix will be considered as equal to 1 if they fall in this neighborhood

discrepancy

Function to convert a correlation matrix to a covariance matrix.

Functions and datasets that can be used for data cleanup (e.g., functions for eliminating all but a few columns from a dataset, selecting a range of columns, quickly editing column names), plotting/presenting data (prism-like reproductions, spearman plots for ordinal data, making colored tables, plotting interactions with quantitative variables), and analyses common to biostatistics (e.g., random forest, multiple comparisons with chi square tests). See the package vignette for a brief introduction to many of the main functions.

cor2cov: Correlation Matrix to Covariance Matrix Conversion

Description

Usage

Arguments

Details