# fisherz: Transformations of r, d, and t including Fisher r to z and z... In psych: Procedures for Psychological, Psychometric, and Personality Research

## Description

Convert a correlation to a z or t, or d, or chi or covariance matrix or z to r using the Fisher transformation or find the confidence intervals for a specified correlation. r2d converts a correlation to an effect size (Cohen's d) and d2r converts a d into an r. g2r converts Hedge's g to a correlation. t2r converts a t test to r, r2t converts a correlation to a t-test value. chi2r converts a chi square to r, r2chi converts it back. r2c and cor2cov convert a correlation matrix to a covariance matrix. d2t and t2d convert cohen's d into a t and a t into a cohen d. See `cohen.d` for other conversions.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10``` ```fisherz(rho) fisherz2r(z) r.con(rho,n,p=.95,twotailed=TRUE) r2t(rho,n) t2r(t,df) g2r(g,df,n) chi2r(chi2,n) r2chi(rho,n) r2c(rho,sigma) cor2cov(rho,sigma) ```

## Arguments

 `rho` a Pearson r `z` A Fisher z `n` Sample size for confidence intervals `df` degrees of freedom for t, or g `p` Confidence interval `twotailed` Treat p as twotailed p `g` An effect size (Hedge's g) `t` A student's t value `chi2` A chi square `sigma` a vector of standard deviations to be used to convert a correlation matrix to a covariance matrix

## Value

 `z` value corresponding to r (fisherz) `r` r corresponding to z (fisherz2r) `r.con` lower and upper p confidence intervals (r.con) `t` t with n-2 df (r2t) `r` r corresponding to effect size d or d corresponding to r. `r2c` r2c is the reverse of the cor2con function of base R. It just converts a correlation matrix to the corresponding covariance matrix given a vector of standard deviations.

## Author(s)

Maintainer: William Revelle [email protected]

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13``` ``` n <- 30 r <- seq(0,.9,.1) d <- r2d(r) rc <- matrix(r.con(r,n),ncol=2) t <- r*sqrt(n-2)/sqrt(1-r^2) p <- (1-pt(t,n-2))*2 r1 <- t2r(t,(n-2)) r2 <- d2r(d) chi <- r2chi(r,n) r3 <- chi2r(chi,n) r.rc <- data.frame(r=r,z=fisherz(r),lower=rc[,1],upper=rc[,2],t=t,p=p,d=d, chi2=chi,d2r=r2,t2r=r1,chi2r=r3) round(r.rc,2) ```

psych documentation built on Oct. 31, 2018, 5:04 p.m.