simdat: Simulation of normal paired data

In AlexanderRitz/pairedpowR: Power Estimation for paired data

Description

Simulates samples of normally distributed paired data according to specified sample size, intra-pair correlation and effect size of a given treatment.

Usage

simdat(npairs = NULL, eff = NULL, rho = NULL)

Arguments

npairs	integer. Supplies the number of pairs to be simulated. Resulting in two samples of size "npairs".
eff	numeric. Supplies the difference in means between both groups. Can be interpreted as effect size based on the fact that standard normal variates are the basis of simulation.
rho	numeric. Supplies the correlation coefficient between both groups.

Value

A sample of paired data, i.e. two samples of size "npairs" with theoretical correlation coefficient "rho". Realised empirical correlation may vary and is not guaranteed to be an exact match of "rho".

Examples

data <- simdat(npairs = 10, eff = 0, rho = -0.8)
cor(data$y_Tr, data$y_NTr)

AlexanderRitz/pairedpowR documentation built on March 16, 2020, 12:16 a.m.