biometryassist (version 1.3.0)

autoplot: Generate automatic plots for objects generated in biometryassist

Description

Generate automatic plots for objects generated in biometryassist

Usage

autoplot(object, ...)
# S3 method for mct
autoplot(
  object,
  size = 4,
  label_height = 0.1,
  rotation = 0,
  axis_rotation = rotation,
  label_rotation = rotation,
  type = "point",
  ...
)
# S3 method for design
autoplot(
  object,
  rotation = 0,
  size = 4,
  margin = FALSE,
  palette = "default",
  row = NULL,
  column = NULL,
  block = NULL,
  treatments = NULL,
  ...
)

Value

A ggplot2 object.

Arguments

object

An object to create a plot for. Currently objects from the multiple_comparisons() or design() functions with class "mct" or "design" respectively are supported.

...

Arguments passed to methods.

size

Increase or decrease the text size within the plot for treatment labels. Numeric with default value of 4.

label_height

Height of the text labels above the upper error bar on the plot. Default is 0.1 (10%) of the difference between upper and lower error bars above the top error bar. Values > 1 are interpreted as the actual value above the upper error bar.

rotation

Rotate the x axis labels and the treatment group labels within the plot. Allows for easier reading of long axis or treatment labels. Number between 0 and 360 (inclusive) - default 0

axis_rotation

Enables rotation of the x axis independently of the group labels within the plot.

label_rotation

Enables rotation of the treatment group labels independently of the x axis labels within the plot.

type

A string specifying the type of plot to display. The default of 'point' will display a point estimate with error bars. The alternative, 'column' (or 'col'), will display a column graph with error bars.

margin

Logical (default FALSE). A value of FALSE will expand the plot to the edges of the plotting area i.e. remove white space between plot and axes.

palette

A string specifying the colour scheme to use for plotting or a vector of custom colours to use as the palette. Default is equivalent to "Spectral". Colour blind friendly palettes can also be provided via options "colour blind" (or "colour blind", both equivalent to "viridis"), "magma", "inferno", "plasma", "cividis", "rocket", "mako" or "turbo". Other palettes from scales::brewer_pal() are also possible.

row

A variable to plot a column from object as rows.

column

A variable to plot a column from object as columns.

block

A variable to plot a column from object as blocks.

treatments

A variable to plot a column from object as treatments.

See Also

multiple_comparisons() and design()

Examples

dat.aov <- aov(Petal.Width ~ Species, data = iris)
output <- multiple_comparisons(dat.aov, classify = "Species")
autoplot(output, label_height = 0.5)
des.out <- design(type = "crd", treatments = c(1, 5, 10, 20),
                  reps = 5, nrows = 4, ncols = 5, seed = 42, plot = FALSE)
autoplot(des.out)

# Colour blind friendly colours
autoplot(des.out, palette = "colour-blind")

# Alternative colour scheme
autoplot(des.out, palette = "plasma")

# Custom colour palette
autoplot(des.out, palette = c("#ef746a", "#3fbfc5", "#81ae00", "#c37cff"))

# Visualise different components of a split plot design
des.out <- design(type = "split", treatments = c("A", "B"), sub_treatments = 1:4,
reps = 4, nrows = 8, ncols = 4, brows = 4, bcols = 2, seed = 42)

# Show the wholeplot components
autoplot(des.out, treatments = wholeplots)

# Display block level
autoplot(des.out, treatments = block)