CompromisePlot | R Documentation |
Plot a CompromisePlot
of a DiStatis object
## S4 method for signature 'DistStatis' CompromisePlot(x,x_lab=NULL, y_lab=NULL, Name=NULL, pchPoints=2, colObs=NULL,...)
x |
DistStatis class object. |
x_lab |
a character indicating x_label. Default is x. |
y_lab |
a character indicating y_label. Default is y. |
Name |
a character indicating plot title. |
pchPoints |
pch for points in scatter plot. |
colObs |
is a character indicating the color for the observations. By Default is the QR (indicating the Quality of Representation of observations) |
... |
additional parameters from ggplot2 library |
plotted CompromisePlot/s of the component/s of the given DistStatis object.
Laura M. Zingaretti
{ 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')) CompromisePlot(Output) + theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(), panel.background = element_blank(), axis.line = element_line(colour = 'black')) }
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.