Bar plot of model stats — make_barplot_on_models

Use this function to produce a bar plot when the input is the result of using the table function to a numeric vector

make_barplot_on_models_stats(
  models.stats,
  cell.line = NULL,
  title,
  xlab,
  ylab,
  cont.values = FALSE,
  threshold = 0,
  ylim.add = 0
)

Arguments

models.stats	table object, the result of using table on a (numeric) vector. Usually it represents some models statistics summary - counts for each TP prediction value for example.
cell.line	string. The name of the cell line to be used in the title of the produced plot. Default value: NULL (the cell line name will not be added to the title)
title	string. The title of the plot
xlab	string. The title of the x-axis
ylab	string. The title of the y-axis
cont.values	logical. If TRUE, the values of the x-axis will be trimmed to 3 digits after the decimal point. Default value: FALSE.
threshold	integer. Values from the `model.stats` that are less or equal to the threshold will be pruned. Use it when there too many categories and the figure appears too dense. Default value: 0
ylim.add	integer. Signifies the height to add to the upper `ylim` parameter on the barplot, in addition to the maximum bar height across the whole plot. Default value is 0.

Examples

x = c(rep(1,100), rep(2,423), rep(3,231), rep(NaN,531))
make_barplot_on_models_stats(models.stats = table(x, useNA = "ifany"),
title = "True Positives Distribution across models",
xlab = "Number of TP values", ylab = "Number of models")
#> [1] TRUE