ggplot2 uses it's own graphics tricks and it would take a bit of work to adapt (but should fix at the same time session and navigation)
It replayPlot fine but the use of do.call is messed up:
Error in do.call(fn, alst) : could not find function "drawGTree"
and the modif of the xlim/ylim may well be messed up too.
If anybody is interested in fixing that, please do and make a pull request.
The aim would be to make the basic example to work:
df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),
y = rnorm(30))
Compute sample mean and standard deviation in each group
# Declare the data frame and common aesthetics.
# The summary data frame ds is used to plot
# larger red points in a second geom_point() layer.
# If the data = argument is not specified, it uses the
# declared data frame from ggplot(); ditto for the aesthetics.
ggplot(df, aes(x = gp, y = y)) +
geom_point() +
geom_point(data = ds, aes(y = mean),
colour = 'red', size = 3)
ggplot2 uses it's own graphics tricks and it would take a bit of work to adapt (but should fix at the same time session and navigation)
It replayPlot fine but the use of do.call is messed up: Error in do.call(fn, alst) : could not find function "drawGTree" and the modif of the xlim/ylim may well be messed up too.
If anybody is interested in fixing that, please do and make a pull request.
The aim would be to make the basic example to work: df <- data.frame(gp = factor(rep(letters[1:3], each = 10)), y = rnorm(30))
Compute sample mean and standard deviation in each group
zm()