plot_corply: plot_corply

In DanieleBizzarri/MiMIR: Metabolomics-Based Models for Imputing Risk

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")

DanieleBizzarri/MiMIR documentation built on March 1, 2023, 11:02 p.m.