permCor: A permutation test and plotting function

In XinranYPCCC/firstPackage: What the Package Does (One Line, Title Case)

Description

This function performs a permutation test for the correlation of two samples returning the p-value associated with your original Pearson's correlation, relative to the null permutation distribution.

Usage

permCor(x, y, n_samp = 10000, plot = T)

Arguments

x	One continuous variable
y	Another continuous variable
n_samp	The number of permutation iterations. Defaults to 10000
plot	Return a histogram of the permutation distribution with your sample correlation? Defaults to TRUE

Details

Lots of descriptive details could go here. This line just holds the place.

Value

This function returns either a graphical display of a permutation tes of Pearson's correlation between x and y, when plot = T, or the probability of obtaining the correlation between x and y.

Examples

x <- 1:100
y <- jitter(x, factor=100)
permCor(x, y, n_samp = 1000, plot = T)

XinranYPCCC/firstPackage documentation built on Nov. 5, 2019, 2:24 p.m.