plot_corply {MiMIR} | R Documentation |
plot_corply
Description
Function creating plottig the correlation between 2 datasets, dat1 x dat2 on basis of (partial) correlations
Usage
plot_corply(
res,
main = NULL,
zlim = NULL,
reorder.x = FALSE,
reorder.y = reorder.x,
resort_on_p = FALSE,
abs = FALSE,
cor.abs = FALSE,
reorder_dend = FALSE
)
Arguments
res |
associations obtained with cor.assoc |
main |
title of the plot |
zlim |
max association to plot |
reorder.x |
logical indicating if the function should reorder the x axis based on clustering |
reorder.y |
logical indicating if the function should reorder the y axis based on clustering |
resort_on_p |
logical indicating if the function should reorder x and y axis based on the pvalues of the associations |
abs |
logical indicating if the function should reorder based the absolute values |
cor.abs |
logical indicating if the function should reorder the plot base on the absolute values |
reorder_dend |
Tlogical indicating if the function should reorder the plot based on dendrogram |
Value
heatmap with the results of cor.assoc
See Also
cor_assoc
Examples
library(stats)
#load the dataset
m <- as.matrix(synthetic_metabolic_dataset)
#Compute the pearson correlation of all the variables in the data.frame metabolic_measures
cors<-cor_assoc(m, m, MiMIR::metabolites_subsets$MET63,MiMIR::metabolites_subsets$MET63)
#Plot the correlations
plot_corply(cors, main="Correlations metabolites")
[Package MiMIR version 1.5 Index]