general.box_plot_facetted: Function to create boxplots of a metric variable, grouped by...

In jhooge/BioViz: BiomarkerVizard

Description

Function to create boxplots of a metric variable, grouped by two nominal variables

Usage

general.box_plot_facetted(data, group_by1, group_by2, col.jitter_by = NULL,
  shape_jitter_by = NULL, title = NULL, xlab = NULL, ylab = NULL,
  legend = FALSE, rotate = FALSE)

Arguments

data	A data frame with group variables and a column with numeric values. (Required)
group_by1	First grouping variable for which the plot will be facetted by. (Required)
group_by2	Second grouping variable which defines the subgroup of group1 (Required)
col.jitter_by	The variable name by which the jitter points will be colored by. (Default: NULL)
shape_jitter_by	The variable name by which the jitter points will be shaped by. (Default: NULL)
title	The title of the plot (Default: NULL)
xlab	The x-axis label (Default: NULL)
ylab	The y-axis label (Default: NULL)
legend	Flag indicating whether the legend should be displayed (Default: FALSE)
rotate	Flag indicating whether the x-axis labels should be rotated by 45° (Default: FALSE)

Value

A ggplot figure

Author(s)

Jens Hooge

Examples

## Not run: 
require(reshape2)
n <- 500
df <- data.frame(A=sample(c("a1", "a2", "a3"), n, replace=TRUE),
                 B=sample(c("b1", "b2"), n, replace=TRUE),
                 C=sample(c("c1", "c2", "c3"), n, replace=TRUE),
                 D=sample(c("d1", "d2", "d3"), n, replace=TRUE),
                 value=rnorm(n, 100, 1))
                 
general.box_plot_facetted(df, group_by1 = "A", group_by2 = "B",
                  col.jitter_by = "A", shape_jitter_by = "C", 
                  rotate=TRUE)

## End(Not run)

jhooge/BioViz documentation built on May 19, 2019, 9:28 a.m.