boxplot: Box Plot

In melren/effiplot: Flexible functions to create plots for efficacy analysis in clinical studies

Description

Generate a flexible box plot for endpoint analysis

Usage

boxplot(data, group_by, y, color_by, color_lbl = TRUE, facet = NULL,
  aggr = "USUBJID", show_n = TRUE, title = "", xlab = "Visit Day",
  ylab = "AVAL", caption = "", size = "small")

Arguments

data	a dataframe containing the input data to plot (dataframe)
group_by	x-axis grouping factor variable (string)
y	column name for y-axis parameter (string)
color_by	factor variable to color by (string)
color_lbl	boolean to determine whether or not to display the column name used as color label, default is TRUE (logical)
facet	optional parameter, column name containing a subgrouping factor to facet the plot by (string)
aggr	column name used to compute aggregate counts (n = ) in legend, default is "USUBJID" (string)
show_n	boolean parameter for displaying counts from aggr, default is TRUE (logical)
title	optional parameter, custom plot title (string)
xlab	optional parameter, custom x-axis plot label (string)
ylab	optional parameter, custom y-axis plot label (string)
caption	optional string to include as a caption on bottom of plot (string)
size	optional string to specify font size schema ("small" for PDF usage or "large" for Shiny apps) to use for plot, default is "small" (string)

Value

produces a box plot with optional facet parameters

Examples

boxplot(
  data = AZA, group_by = "REGION", y = "PDCR", color_by = "BASEUA", facet = "TRT",
  show_n = FALSE, title = "Comparison of Treatment", xlab = "Region",
  ylab = "% Decrease in Ulcer Area",
  caption = "Colored by baseline ulcer area", size = "large"
)

melren/effiplot documentation built on May 4, 2019, 7:37 a.m.