DistStatis-CorrelationPlot: Correlation-Plot

In lauzingaretti/LinkHD: LinkHD: a versatile framework to explore and integrate heterogeneous data

Correlation-Plot

Description

Plot a CorrelationPlot of a DistStatis object

Usage

## S4 method for signature 'DistStatis'
CorrelationPlot(x,...)

Arguments

x	an object from DistSatis class.
...	additional parameters from ggplot2 library

Value

correlation plot between tables from a DistStatis object.

Author(s)

Laura M. Zingaretti

Examples

{

data(Taraoceans)
pro.phylo <- Taraoceans$taxonomy[ ,'Phylum']
TaraOc<-list(Taraoceans$phychem,as.data.frame(Taraoceans$pro.phylo),
as.data.frame(Taraoceans$pro.NOGs))
TaraOc_1<-scale(TaraOc[[1]])
Normalization<-lapply(list(TaraOc[[2]],TaraOc[[3]]),
function(x){DataProcessing(x,Method='Compositional')})
colnames(Normalization[[1]])=pro.phylo
colnames(Normalization[[2]])=Taraoceans$GO
TaraOc<-list(TaraOc_1,Normalization[[1]],Normalization[[2]])
names(TaraOc)<-c('phychem','pro_phylo','pro_NOGs')
TaraOc<-lapply(TaraOc,as.data.frame)
Output<-LinkData(TaraOc,Scale =FALSE,
Distance = c('ScalarProduct','Euclidean','Euclidean'))
CorrelationPlot(Output) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(),
axis.line = element_line(colour = 'black'))


}

lauzingaretti/LinkHD documentation built on March 7, 2023, 9:21 a.m.