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30 lines
1.3 KiB
30 lines
1.3 KiB
\name{ggcorrplot}
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\alias{ggcorrplot}
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\title{ggcorrplot}
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\usage{
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ggcorrplot(df, var, value, color="#FFFFFF00", stat="signif", tri="all", method="pearson")
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}
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\arguments{
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\item{df}{A data frame in "long" format.}
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\item{var}{The column that will be used to analyze correlation all against all.}
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\item{value}{The column that will be used as numeric data to analyze correlation.}
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\item{color}{The color of the lines of geom_tile (the border). By default, its transparent.}
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\item{stat}{The stats that will be on the tiles. They can be "signif", "pval", "none". By default, it presents "signif" (stars representing pvalue).}
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\item{tri}{It specifies which half of the correlation matrix is shown. Can be "all" (the default), "upper" or "lower".}
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\item{method}{Method for correlation. It will be passed to "cor" and "rcorr" functions, "pearson" by default.}
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}
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\description{
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Generates a correlation matrix using ggplot for a dataframe.
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}
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\examples{
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library(tidyverse)
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df<-data.frame("pats"=paste0("PAT", 1:20), "CytA"=rnorm(20,5), "CytB"=rnorm(20,5),
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"CytC"=c(rnorm(5,10),rnorm(5,5),rnorm(5,10),rnorm(5,5)),"CytD"=rnorm(20,5),
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"CytE"=c(rnorm(5,10),rnorm(5,5),rnorm(5,10),rnorm(5,5)),"CytF"=rnorm(20,5),
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"CytG"=c(rnorm(5,10),rnorm(5,5),rnorm(5,10),rnorm(5,5)))
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df<-gather(df, Cyt, Value,-pats)
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head(df)
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ggcorrplot(df, Cyt, Value)
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}
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