cor_assoc function

cor_assoc

Function to calulate the correlation between 2 matrices

cor_assoc(dat1, dat2, feat1, feat2, method = "pearson", quiet = FALSE)

Arguments

• dat1: matrix 1
• dat2: matrix 2
• feat1: vector of strings with the names of the selected variables in dat
• feat2: vector if strings with the names of the selected variables in dat2
• method: indicates which methods of the correlation to use
• quiet: logical to suppress the messages in the console

Returns

correlations of the selected variables in the 2 martrices

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)

See Also

plot_corply