Defaults to violin plot with error bars and dots, but elements such as dots, bars, violin, error_bars can be turned on or off
Usage
pirateye(
data,
colour_condition = NULL,
x_condition = "variable",
facet_condition = NULL,
facet_scales = "fixed",
pid_average = F,
dv,
reorder = F,
pid = "pid",
dodgewidth = 0.8,
plot_condition = NULL,
cond = NULL,
cond2 = NULL,
facetby = NULL,
ylim = NULL,
xlim = NULL,
w = NULL,
h = 6,
title = NULL,
outp = "analysis",
cols = NULL,
pred_line = F,
error_bar_data = NULL,
pred = NULL,
pred_means = NULL,
pred_bar = T,
xlabs = NULL,
xlabpos = 0.7,
error_data = NULL,
cflip = F,
norm = F,
bars = F,
violin = T,
dots = T,
splitV = F,
svw = 1,
dot_h_jitter = 0,
line = F,
error_bars = T,
useall = F,
legend = T,
title_overide = F,
combine_plots = list(),
combine_position = "right",
elementinc = NULL,
...
)Arguments
- data
data with one person per line, excluding rows with use=0
- colour_condition
colour split
- x_condition
x axis split (if not, specified colour condition used for x axis too)
- facet_condition
for faceting
- pid_average
plot an average of each participant's dv over the named conditions
- dv
name of single dv column, or multiple columns, in which case they will be split by x_condition unless colour or facet condition set to 'variable'
- pid
whats the name of col that identifies individuals
- plot_condition
instead of passing individually, you can give a vector of up to 3
- cols
specify the colours to use
- xlabpos
How high vertically should they be, as proportion of plot height
- error_data
distribution for mean, eg from Bayes analysis, to replace SE
- cflip
flip to horizontal plot
- norm
normalise / z-score values for comparison across scales
- useall
ignore the use column and plot all rows
- xlab
Do we have labels to go across x axis, such as post hoc pvalues or MPEs