#' Function to plot the histograms for all the variables in dat
hist_plots( dat, x_name, color = MiMIR::c21, scaled =FALSE, datatype ="metabolic score", main ="Predictors Distributions")
Arguments
dat: data.frame or matrix with the variables to plot
x_name: string with the names of the selected variables in dat
color: colors selected for all the variables
scaled: logical to z-scale the variables
datatype: a character vector indicating what data type is beeing plotted
main: title of the plot
Returns
plotly image with the histograms of the selected variables
Examples
require(MiMIR)require(plotly)require(matrixStats)#load the metabolites datasetm <- synthetic_metabolic_dataset
#Apply a surrogate models and plot the ROC curvesurrogates<-calculate_surrogate_scores(m, PARAM_surrogates=MiMIR::PARAM_surrogates, roc=FALSE)#Plot the histogram of the surrogate sex values scaled hist_plots(surrogates$surrogates, x_name="s_sex", scaled=TRUE)