plot_3d_scatterbox: Plot a scatter and box plot for 1-way ANOVAs with matched...

In grafify: Easy Graphs for Data Visualisation and Linear Models for ANOVA

Plot a scatter and box plot for 1-way ANOVAs with matched shapes mapped to blocking factor.

Description

One of 4 related functions for plotting 1-way ANOVA designs with a blocking factor.

1. plot_3d_point_sd (mean & SD, SEM or CI95 error bars)

2. plot_3d_scatterbar (bar & SD, SEM or CI95 error bars)

3. plot_3d_scatterbox (box & whiskers)

4. plot_3d_scatterviolin (box & whiskers, violin)

Usage

plot_3d_scatterbox(
  data,
  xcol,
  ycol,
  shapes,
  facet,
  symsize = 3,
  s_alpha = 0.8,
  b_alpha = 1,
  bwid = 0.5,
  jitter = 0.1,
  TextXAngle = 0,
  LogYTrans,
  LogYBreaks = waiver(),
  LogYLabels = waiver(),
  LogYLimits = NULL,
  facet_scales = "fixed",
  fontsize = 20,
  symthick,
  bthick,
  ColPal = c("okabe_ito", "all_grafify", "bright", "contrast", "dark", "fishy", "kelly",
    "light", "muted", "pale", "r4", "safe", "vibrant"),
  ColSeq = TRUE,
  ColRev = FALSE,
  SingleColour = "NULL",
  ...
)

Arguments

data	a data table, e.g. data.frame or tibble.
xcol	name of the column with the categorical factor to be plotted on X axis. If your table has numeric X, enter xcol = factor(name of colum).
ycol	name of the column with quantitative variable to plot on the Y axis.
shapes	name of the column with the second categorical factor in a two-way ANOVA design.
facet	add another variable from the data table to create faceted graphs using ggplot2facet_wrap.
symsize	size of symbols, default set to 3.
s_alpha	fractional opacity of symbols, default set to 0.8 (i.e. 80% opacity). Set s_alpha = 0 to not show scatter plot.
b_alpha	fractional opacity of boxes. Default is set to 0, which results in white boxes inside violins. Change to any value >0 up to 1 for different levels of transparency.
bwid	width of boxes; default 0.5.
jitter	extent of jitter (scatter) of symbols, default is 0.1. Increase to reduce symbol overlap, set to 0 for aligned symbols.
TextXAngle	orientation of text on X-axis; default 0 degrees. Change to 45 or 90 to remove overlapping text.
LogYTrans	transform Y axis into "log10" or "log2"
LogYBreaks	argument for ggplot2[scale_y_continuous] for Y axis breaks on log scales, default is waiver(), or provide a vector of desired breaks.
LogYLabels	argument for ggplot2[scale_y_continuous] for Y axis labels on log scales, default is waiver(), or provide a vector of desired labels.
LogYLimits	a vector of length two specifying the range (minimum and maximum) of the Y axis.
facet_scales	whether or not to fix scales on X & Y axes for all facet facet graphs. Can be fixed (default), free, free_y or free_x (for Y and X axis one at a time, respectively).
fontsize	parameter of base_size of fonts in theme_classic, default set to size 20.
symthick	size (in 'pt' units) of outline of symbol lines (stroke), default = fontsize/22.
bthick	thickness (in 'pt' units) of lines of boxes; default = fontsize/22.
ColPal	grafify colour palette to apply, default "okabe_ito"; see graf_palettes for available palettes.
ColSeq	logical TRUE or FALSE. Default TRUE for sequential colours from chosen palette. Set to FALSE for distant colours, which will be applied using scale_fill_grafify2.
ColRev	whether to reverse order of colour within the selected palette, default F (FALSE); can be set to T (TRUE).
SingleColour	a colour hexcode (starting with #), a number between 1-154, or names of colours from grafify or base R palettes to fill along X-axis aesthetic. Accepts any colour other than "black"; use grey_lin11, which is almost black.
...	any additional arguments to pass to ggplot2geom_boxplot.

Details

The blocking factor (or any other categorical variable) can be mapped to the shapes argument (up to 25 levels allowed). Variables passed to xcol and shapes are internally converted to factors even if they are numeric or other type of variables.

In plot_3d_point_sd and plot_3d_scatterbar, the default error bar is SD (can be changed to SEM or CI95). In plot_3d_point_sd, a large coloured symbol is plotted at the mean, all other data are shown as smaller symbols. Boxplot uses geom_boxplot to depict median (thicker line), box (interquartile range (IQR)) and the whiskers (1.5*IQR).

Colours can be changed using ColPal, ColRev or ColSeq arguments. ColPal can be one of the following: "okabe_ito", "dark", "light", "bright", "pale", "vibrant, "muted" or "contrast". ColRev (logical TRUE/FALSE) decides whether colours are chosen from first-to-last or last-to-first from within the chosen palette. ColSeq (logical TRUE/FALSE) decides whether colours are picked by respecting the order in the palette or the most distant ones using colorRampPalette.

The resulting ggplot2 graph can take additional geometries or other layers.

Value

This function returns a ggplot2 object of class "gg" and "ggplot".

Examples

#3d version for 1-way data with blocking
plot_3d_scatterbox(data = data_1w_death, 
xcol = Genotype, ycol = Death, 
shapes = Experiment)
#use plot_scatterbox without a blocking factor

grafify documentation built on May 29, 2024, 3:49 a.m.