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Counting missing data

Source: R/datamissing.R
dataMissing.Rd

Calculate and plot the missingness.

Usage

dataMissing(
  dataSet,
  sort_miss = FALSE,
  plot = FALSE,
  show_pct_legend = TRUE,
  show_labels = TRUE,
  show_pct_col = TRUE
)

Arguments

dataSet

The 2d data set of experimental values.

sort_miss

A boolean (default = FALSE) specifying whether to arrange the columns in order of missingness.

plot

A boolean (default = FALSE) specifying whether to plot the missingness.

show_pct_legend

A boolean (default = TRUE) specifying whether the percentages of missing and present values in the entire dataset are shown in the legend of the visualization when plot = TRUE.

show_labels

A boolean (default = TRUE) specifying whether protein names are shown in the visualization when plot = TRUE.

show_pct_col

A boolean (default = TRUE) specifying whether the percentages of missing data in the samples for that protein are shown in the labels of the visualization when show_labels = TRUE.

Value

A 2d dataframe including:

  • "count_miss": The count of missing values for each protein.

  • "pct_miss_col": The percentage of missing values for each protein.

  • "pct_miss_tot": The percentage of missing values for each protein relative to the total missing values in the entire dataset.