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Plot P-Value Comparisons

Source: R/PlotPValueComparisons.R
PlotPValueComparisons.Rd

This function generates a plot comparing p-values for different variables across two or more groups.

Usage

PlotPValueComparisons(
  data,
  group_var,
  variables = NULL,
  VariableCategories = NULL,
  Relabel = TRUE,
  Data = lifecycle::deprecated(),
  GroupVariable = lifecycle::deprecated(),
  Variables = lifecycle::deprecated()
)

Arguments

data

Data frame containing the variables to compare.

group_var

Character string specifying the name of the column in Data that contains the group labels.

variables

Character vector specifying the names of the columns in Data to include in the comparison. If NULL, all columns except GroupVariable are included.

VariableCategories

Character vector specifying the categories for each variable. If NULL, no categories are used.

Relabel

Logical indicating whether to replace missing labels with the column names.

Data

Deprecated (since 19.15.0). Use data instead.

GroupVariable

Deprecated (since 19.15.0). Use group_var instead.

Variables

Deprecated (since 19.15.0). Use variables instead.

Value

A ggplot object displaying the p-value comparisons.

Examples

data(SampleData)
data(SampleVariableTypes)

Labelled <- RevalueData(SampleData, SampleVariableTypes)$RevaluedData

PlotPValueComparisons(
  Labelled,
  group_var = "Diagnosis",
  variables = c(
    "age", "AXL", "Adiponectin", "Alpha_1_Antitrypsin", "Cortisol",
    "Ferritin", "GRO_alpha", "MMP10", "MMP7", "NT_proBNP", "PAI_1",
    "TRAIL_R3", "VEGF", "Ab_42", "p_tau", "tau"
  )
)