FastCorrelation: Fast way to calculate correlation between variables

In huangwb8/lucky: Launch Usual Clinical tool for Kind Yield

Description

Fast way to calculate correlation between variables

Usage

FastCorrelation(data, transposition = F, control.markers = NULL,
  target.markers = NULL, method = "pearson")

Arguments

data	a data frame or a matrix
control.markers	control markers
target.markers	target markers
method	a character string indicating which correlation coefficient is to be used for the test. One of "pearson", "kendall", or "spearman", can be abbreviated.

Value

a data frame with p value and adjusted p value.

Author(s)

Weibin Huang<[e-mail]>

See Also

cor.test.

Examples

data <- state.x77;colnames(data)
a <- FastCorrelation(data,
                     transposition = F,
                     control.markers=NULL,
                     target.markers=NULL,
                     method = "pearson")
a1 <- dplyr::filter(a,adj.P.Val < 0.05)

library(ggplot2)
ggplot(as.data.frame(data),aes(x=`Life Exp`,y=`Murder`)) + geom_point() + geom_smooth()

huangwb8/lucky documentation built on Oct. 16, 2019, 9:01 a.m.