cor.var.compare: Calculates differential correlation statistics between a...

In emily5/exCorr: An R package for differential correlation analyses

Description

Creates a table of pairwise correlations statistics, with separation of two groups for comparison. This can be used as an exploratory tool to investigate correlations between a specific variable of interest and all other variables within the same dataset. The significance of the difference between two correlation coefficients is ......

Usage

cor.var.compare(variable, data, group, ordered = "fisher")

Arguments

variable	character string defining the variable of interest for differential correlation
data	dataframe for analysis
group	character string defining the grouping variable for comparative differential correlations
ordered	character string defining which column the table should be ordered by. Choose from g1cor, g1p, g2cor, g2r, fisher (default) and BH.

Value

a table (or dataframe) with pearson correlation coefficients (r) and associated p-values between variables for each comparative group. Also gives fisher r-to-z p-value and adjusted p-value using Benjamini-Hochberg correction for each correlation pair.

Author(s)

Emily Mears, [e-mail], Matthew Grant, [e-mail]

Ben Day, [e-mail]

Examples

## Load example dataframes
df <- read.csv("example_data/excorr_df1.csv")

## Run function
cor.var.compare(variable = "NTRpFI", data = df, group = "sex")
cor.var.compare(variable = "NTRpFI", data = df, group = "sex", ordered = "fisher")

emily5/exCorr documentation built on May 22, 2020, 1:01 p.m.