Plot of mean & error bars for 1-way ANOVAs with matched shapes mapped to blocking factor.

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

plot_3d_point_sd (mean & SD, SEM or CI95 error bars)
plot_3d_scatterbar (bar & SD, SEM or CI95 error bars)
plot_3d_scatterbox (box & whiskers)
plot_3d_scatterviolin (box & whiskers, violin)

plot_3d_point_sd(
  data,
  xcol,
  ycol,
  shapes,
  facet,
  ErrorType = "SD",
  symsize = 3.5,
  s_alpha = 1,
  symshape = 22,
  all_alpha = 0.3,
  all_size = 2.5,
  all_shape = 0,
  all_jitter = 0,
  ewid = 0.2,
  TextXAngle = 0,
  LogYTrans,
  LogYBreaks = waiver(),
  LogYLabels = waiver(),
  LogYLimits = NULL,
  facet_scales = "fixed",
  fontsize = 20,
  symthick,
  ethick,
  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.
ycol: name of the column with quantitative variable to plot on the Y axis.
shapes: name of the column with the blocking factor or another categorical variable.
facet: add another variable from the data table to create faceted graphs using ggplot2facet_wrap.
ErrorType: select the type of error bars to display. Default is "SD" (standard deviation). Other options are "SEM" (standard error of the mean) and "CI95" (95% confidence interval based on t distributions).
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.
symshape: The mean is shown with symbol of the shape number 21 (default, filled circle). Pick a number between 0-25 to pick a different type of symbol from ggplot2.
all_alpha: fractional opacity of all data points (default = 0.3). Set to non-zero value if you would like all data points plotted in addition to the mean.
all_size: size of symbols of all data points, if shown (default = 2.5).
all_shape: all data points are shown with symbols of the shape number 0 (default, open square). Pick a number between 0-25 to pick a different type of symbol from ggplot2.
all_jitter: reduce overlap of all data points, if shown, by setting a value between 0-1 (default = 0).
ewid: width of error bars, default set to 0.2.
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.
ethick: thickness of error bar lines; 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 palettes or base R to fill along X-axis aesthetic. Accepts any colour other than "black"; use grey_lin11, which is almost black.
...: any additional arguments to pass.

Value

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

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.

Examples

#3d version for 1-way data with blocking
#use plot_point_sd when no a blocking factor is not used
plot_3d_point_sd(data = data_1w_death, 
xcol = Genotype, ycol = Death, 
shapes = Experiment)