Graphs with more than two variables with blocking factor/repeated-measures (e.g. factorial ANOVAs)
See the data help page and ensure data table is in the long-format.
See Saving graphs for tips on how to save plots for making figures.
The d
in the name stands for dimensions or variables in the data. plot_3d...
functions are for 1-way ANOVA and plot_4d_...
for 2-way ANOVA with randomised blocks; plot_4d_...
require a second categorical factor that is mapped to bars or boxes through the bars
or boxes
argument, respectively.
These functions are generally useful when a third variable needs to be plotted to shapes of symbols. This is handy for plotting experiments with randomised blocks or repeated measures, where the shape of the symbol (shapes
argument) is mapped to a “blocking factor” variable in the data table.
plot_3d_point_sd
, plot_3d_scatterbar
or plot_3d_scatterbox
These functions plot bars or box and whisker plots, with the fill
aesthetic mapped to the categorical X variable, and shapes
to the blocking factor.
Error bars in the point and bar graphs represent standard deviation (SD
) by default. they can be changed to SEM
or CI95
using the ErrorType
argument.
plot_3d_point_sd(data_1w_death,
Genotype, #categorical X variable
Death, #numeric Y variable
Experiment, #blocking factor
ColPal = "fishy", #"contrast" palette
ColRev = T)+ #reverse colour order
labs(title = "1way RB, mean/SD",
subtitle = "(reverse `fishy` palette)")
plot_3d_point_sd(data_1w_death,
Genotype, #categorical X variable
Death, #numeric Y variable
Experiment, #blocking factor
ErrorType = "SEM", #SEM error bars
ColPal = "kelly", #"contrast" palette
ColRev = T)+ #reverse colour order
labs(title = "1way RB, mean/SEM",
subtitle = "(reverse `kelly` palette)")
The box represents IQR with a thick line representing the median, and whiskers depict 1.5*IQR.
There are several additional arguments, including ewid
, symsize
, symthick
, fontsize
, jitter
, s_alpha
and b_alpha
, which are similar to plot_scatterbar_sd
or plot_scatterbox
version for plotting two variables.
plot_3d_scatterbar(data_1w_death,
Genotype, #categorical X variable
Death, #numeric Y variable
Experiment, #blocking factor
ColPal = "fishy", #"contrast" palette
ColRev = T)+ #reverse colour order
labs(title = "1way RB, bar/SD",
subtitle = "(reverse `fishy` palette)")
plot_3d_scatterbox(data_1w_death,
Genotype, #categorical X variable
Death, #numeric Y variable
Experiment, #blocking factor
ColPal = "kelly", #"contrast" palette
ColRev = T)+ #reverse colour order
labs(title = "1way RB, box/whiskers",
subtitle = "(reverse `kelly` palette)")
plot_3d_
in single colourplot_3d_scatterbox(data_1w_death, #data table
Genotype, #X variable
Death, #Y variable
Experiment, #shape variable
SingleColour = "pale_red")+ #colour
labs(title = "1w RB ANOVA, single colour")
plot_3d_scatterbox(data_1w_death, #data table
Genotype, #X variable
Death, #Y variable
Experiment, #shape variable
SingleColour = graf_palettes$bright[1])+ #colour
labs(title = "1w RB ANOVA, single colour")
plot_4d_point_sd
, plot_4d_scatterbar
& plot_4d_scatterbox
These functions additionally need a points
, bars
or boxes
argument for the second categorical variable in the 2-way ANOVA.
Since v4.0, the shapes
argument can be left empty to plot a simple/ordinary ANOVA, or assigned a variable for the blocking factor/repeated measures. Also the ANOVA plots vignette.
In plot_4d_point_sd
, default error bars denote SD
, which can be changed to SEM
or CI95
using the ErrorType
argument.
plot_4d_point_sd(data_2w_Tdeath, #data table
Genotype, #categorical X variable
PI, #numeric Y variable
Time, #2nd categorical factor
Experiment, #shapes
bwid = .7)+ #bar width
labs(title = "2way/RM, mean/SD",
subtitle = "(shapes = randomised blocks)")
plot_4d_point_sd(data_2w_Tdeath, #data table
Genotype, #categorical X variable
PI, #numeric Y variable
Time, #2nd categorical factor
ColPal = "r4")+ #colour palette
labs(title = "2way simple ANOVA",
subtitle = "(no `shapes` arugment)")
Here are 2way ANOVAs with bars or box and whiskers.
plot_4d_scatterbar(data_2w_Tdeath, #data table
Genotype, #categorical X variable
PI, #numeric Y variable
Time, #2nd categorical factor
Experiment, #shapes
bwid = .7)+ #bar width
labs(title = "2way/RM, bars/SD",
subtitle = "(shapes = randomised blocks)")
plot_4d_scatterbox(data_2w_Tdeath, #data table
Genotype, #categorical X variable
PI, #numeric Y variable
Time, #2nd categorical factor
Experiment,
ColPal = "r4")+ #colour palette
labs(title = "2way/RM, box/whiskers",
subtitle = "(shapes = randomised blocks)")