heatmap1: Plot correlation or matrix heatmap.

In yzhlinscau/AAFMM: Augment Applications in Fitting Mixed Models

Description

heatmap1 This function Function creates a correlation heatmap using ggplot2 given a data.frame or matrix.

Usage

heatmap1(df,type='matrix', df.label=NULL,gtitle=NULL,
                   Nbreaks=NULL,Sig= FALSE,order=FALSE,
                   theme.1=NULL,data.only = FALSE)

Arguments

df	A data.frame or matrix containing only numeric data.
type	Identify df to be 'matrix'(default) or 'data'.
df.label	A matrix for heatmap labels.
gtitle	legend title.
Nbreaks	A number controls legend breaks.
Sig	Logical, if TRUE put pvalue and sig level for heatmap labels.
order	Logical, if TRUE reorder correlation matrix.
theme.1	A theme setting for ggplot2.
data.only	Logical, if TRUE returns correlation and pvalue.

Author(s)

Yuanzhen Lin <[e-mail]>

References

Yuanzhen Lin. R & ASReml-R Statistics. China Forestry Publishing House. 2016 AAFMM website:https://github.com/yzhlinscau/AAFMM

Examples

library(AAFMM)

mydata<-mtcars

## plot data.frame
heatmap1(mydata,type='data',Sig=FALSE,Nbreaks = 8)

heatmap1(mydata,type='data',Sig=TRUE,Nbreaks = 8)

## plot correlation matrix
mcor <- round(cor(mydata),2)
cormat <- melt(mcor)

heatmap1(cormat,Sig=FALSE,Nbreaks = 8)
heatmap1(cormat,Sig=TRUE,Nbreaks = 8)

## plot any squared matrix
set.seed(2018)
label<-matrix(runif(121),nrow=11)
label<-round(label,2)

heatmap1(label)

  

yzhlinscau/AAFMM documentation built on May 4, 2019, 4:17 a.m.