R/plot_4d_point_sd.R
plot_4d_point_sd.Rd
There are 4 related functions for 2-way ANOVA type plots. In addition to a categorical variable along the X-axis, a grouping factor is passed to either points
, bars
or boxes
argument in these functions. A blocking factor (or any other categorical variable) can be optionally passed to the shapes
argument.
plot_4d_point_sd
(mean & SD, SEM or CI95 error bars)
plot_4d_scatterbar
(bar & SD, SEM or CI95 error bars)
plot_4d_scatterbox
(box & whiskers)
plot_4d_scatterviolin
(box & whiskers, violin)
plot_4d_point_sd(
data,
xcol,
ycol,
points,
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,
group_wid = 0.8,
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,
...
)
a data table, e.g. data.frame or tibble.
name of the column with the variable to plot on X axis (will be converted to a factor/categorical variable).
name of the column to plot on quantitative variable on the Y axis.
name of the column with grouping within the factor plotted on X-axis (will be converted to a factor/categorical variable).
name of the column that contains matched observations (e.g. subject IDs, experiment number) or another variable to pass on to symbol shapes (will be converted to a factor/categorical variable). If not provided, the shapes for all groups is the same, and can be changed with all_shapes
, all_alpha
, all_size
etc.
add another variable from the data table to create faceted graphs using ggplot2
facet_wrap.
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).
size of symbols, default set to 3.5.
fractional opacity of symbols, default set to 1 (i.e. fully opaque).
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.
fractional opacity of all data points (default = 0.3).
size of symbols of all data points, if shown (default = 2.5).
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. This argument only has an effect if shapes
argument is used.
reduce overlap of all data points, if shown, by setting a value between 0-1 (default = 0).
width of error bars, default set to 0.2.
space between the factors along X-axis, i.e., dodge width. Default group_wid = 0.8
(range 0-1), which can be set to 0 if you'd like the two plotted as position = position_identity()
.
orientation of text on X-axis; default 0 degrees. Change to 45 or 90 to remove overlapping text.
transform Y axis into "log10" or "log2"
argument for ggplot2[scale_y_continuous]
for Y axis breaks on log scales, default is waiver()
, or provide a vector of desired breaks.
argument for ggplot2[scale_y_continuous]
for Y axis labels on log scales, default is waiver()
, or provide a vector of desired labels.
a vector of length two specifying the range (minimum and maximum) of the Y axis.
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).
parameter of base_size
of fonts in theme_classic
, default set to size 20.
size (in 'pt' units) of outline of symbol lines (stroke
), default = fontsize
/22.
thickness of error bar lines; default fontsize
/22.
grafify colour palette to apply, default "okabe_ito"; see graf_palettes
for available palettes.
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
.
whether to reverse order of colour within the selected palette, default F (FALSE); can be set to T (TRUE).
any additional arguments to pass to ggplot2
stat_summary or ggplot2
geom_point.
This function returns a ggplot2
object of class "gg" and "ggplot".
These can be especially useful when the fourth variable shapes
is a random factor or blocking factor (up to 25 levels are allowed; there will be an error with more levels). The shapes
argument can be left blank to plot ordinary 2-way ANOVAs without blocking.
In plot_4d_point_sd
and plot_4d_scatterbar
, the default error bar is SD (can be changed to SEM or CI95). In plot_4d_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.
#4d version for 2-way data with blocking
plot_4d_point_sd(data = data_2w_Tdeath,
xcol = Genotype,
ycol = PI,
points = Time,
shapes = Experiment)
#4d version without blocking factor
#`shapes` can be left blank
plot_4d_point_sd(data = data_2w_Festing,
xcol = Strain,
ycol = GST,
points = Treatment)