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Objects exported from other packages

Source: R/autoplot.R
autoplot.Rd

These objects are imported from other packages. Follow the links below to see their documentation.

ggplot2

autoplot

Usage

# S3 method for mct
autoplot(object, rotation = 0, size = 4, label_height = 0.1, ...)

# S3 method for design
autoplot(
  object,
  rotation = 0,
  size = 4,
  margin = FALSE,
  palette = "default",
  ...
)

Arguments

object

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

rotation

Rotate the text output as Treatments within the plot. Allows for easier reading of long treatment labels. Number between 0 and 360 (inclusive) - default 0

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.

...

Other arguments to be passed through.

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. Default is equivalent to "Spectral". Colour blind friendly palettes can also be provided via options "colour blind" (or "color blind", both equivalent to "viridis"), "magma", "inferno", "plasma" or "cividis". Other palettes from scales::brewer_pal() are also possible.

Value

A ggplot2 object.

See also

mct.out() and design()

Examples

dat.aov <- aov(Petal.Width ~ Species, data = iris)
output <- mct.out(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)
#> Source of Variation                     df
#>  =============================================
#>  treatments                              3
#>  Residual                                16
#>  =============================================
#>  Total                                   19
autoplot(des.out)


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


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