elaborator (version 1.0)

elaborator_plot_quant_trends: elaborator_plot_quant_trends - Function to draw Boxplots for each Treatment and Labparameter

Description

elaborator_plot_quant_trends - Function to draw Boxplots for each Treatment and Labparameter

Usage

elaborator_plot_quant_trends(
  dat1,
  signtest = TRUE,
  Visit1,
  Visit2,
  sameaxes = FALSE,
  ats = NULL,
  cols = NULL,
  labelvis = NULL,
  labcolumn,
  sortpoints = FALSE,
  pcutoff = 0.01,
  cexoutliers = 0.7,
  infotest = NULL,
  sortinput = as.character(unique(dat1[, labcolumn])),
  bordercol = NULL,
  add_points = TRUE,
  connect_lines = FALSE
)

Arguments

dat1

data set

signtest

boolean value if signtest should be performded (TRUE/FALSE)

Visit1

visit time point one

Visit2

visit time point two

sameaxes

boolean value if boxplot should have the same y-axis for the treatments within a labparameter

ats

ats parameter

cols

colors of boxplots

labelvis

visibility of labels

labcolumn

labparameter column

sortpoints

boolean value if dots in boxplot should be sorted

pcutoff

limit for p-values were the background should be colored

cexoutliers

size of the outliers

infotest

List object from the perform test function.

sortinput

sorting rule

bordercol

color of boxes which are not selected to perform a test

add_points

boolean value if points should be added to the Boxplots (TRUE/FALSE)

connect_lines

boolean value if subject values should be connected via lines (TRUE/FALSE)