parallel_plot: Parallel coordinates plot

In lisaschneider0509/lipidomeComparisonR:

Description

'parallel_plot' prints a paralell coordinates plot using a data frame

Usage

parallel_plot(
  input_df,
  group_vector,
  out_path = "none",
  title = "Parallel Plot",
  x_title = "",
  y_title = "",
  legend_title = "",
  col_names = colnames(dplyr::select_if(input_df, is.numeric)),
  scale = "globalminmax"
)

Arguments

input_df	data frame.
group_vector	vector. Vector (part of the data frame), to sort by.
out_path	string. Path to save parallel plot to png. If out_path is empty the parallel plot is printed to the device.
title	string. Main Title. Default = "Parallel plot"
x_title	string. Title of x-axis. Default: none
y_title	string. Title of y-axis. Default: none
legend_title	string. Title of legend. Default: none
col_names	vector. Column names of the data frame and lables on the x-axis. Default: colnames(input_df)
scale	string. Method used to scale the variable. Default = "globalminmax". Options: "std", "robust", "uniminmax", "globalminmax", "center", "centerObs". For more information on the options see help(ggparcoord).

Details

This function takes a data frame with at least one factor variable and displays it in a pralell coordinates plot, where the different groups are color coded. This plot works best for <= 10 parameters.

Examples

parallel_plot(iris, iris$Species)
## Not run: 
dir.create(paste(getwd(), "/examples", sep = ""), showWarnings = FALSE)
dir <- paste(getwd(), "/examples/iris", sep = "")
parallel_plot(iris, 5, out_path = dir)
## End(Not run)

lisaschneider0509/lipidomeComparisonR documentation built on Aug. 12, 2020, 12:52 a.m.