cor2cov

the correlation matrix to be converted

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.

 design 

Implements methods that useful in designing research studies and analyzing data, with
particular emphasis on methods that are developed for or used within the behavioral,
educational, and social sciences (broadly defined). That being said, many of the methods
implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a
suite of functions for a variety of related topics, such as effect sizes, confidence intervals
for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size
planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and
minimum-risk point estimation perspectives), mediation analysis, various properties of
distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally
an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but at this
point MBESS contains methods applicable and used in a wide variety of fields and is an
orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has
greatly benefited from others, see <http://nd.edu/~kkelley/site/MBESS.html> for a detailed
list of those that have contributed and other details.

cor2cov: Correlation Matrix to Covariance Matrix Conversion

Description

Usage

Arguments

Details