Plot feature importance — plotImportance • metabolyseR

Plot Univariate or random forest feature importance.

Usage

plotImportance(x, ...)

# S4 method for Univariate
plotImportance(x, response = "class", rank = TRUE, threshold = 0.05)

# S4 method for RandomForest
plotImportance(x, metric = "false_positive_rate", rank = TRUE)

# S4 method for list
plotImportance(x, metric = "false_positive_rate")

Arguments

x: S4 object of class Univariate or RandomForest
...: arguments to pass to specific method
response: response results to plot
rank: rank feature order for plotting
threshold: explanatory threshold line for the output plot
metric: importance metric to plot

Examples

library(metaboData)

x <- analysisData(abr1$neg[,200:300],abr1$fact) %>%
       keepClasses(cls = 'day',classes = c('H','1','5')) %>% 
       occupancyMaximum(cls = 'day') %>%
       transformTICnorm()
       
rf <- randomForest(x,cls = 'day')

plotImportance(rf,rank = FALSE)