Description Usage Arguments Value Examples
Bar plot divided by three groupings
1 2 3 4 5 6 7 | compareplot(formula, data.frame, show.outlines = FALSE,
main = "", x.label = "", div.axis.major = 10,
div.axis.minor = 20, log.x = FALSE,
colors.plot = c("salmon", "mediumblue", "olivedrab", "cyan", "brown", "darkgreen", "purple"),
panel = "panel.tuftebox", box.width.large.scale = 0.4,
box.width.small.scale = 0.25, box.show.mean = TRUE,
box.show.box = FALSE, box.show.whiskers = FALSE, ...)
|
formula |
Plot formula. Of the form: ~cts|group1*group2*group3 , where cts is the continuous data you want to make boxplots out of, and group_ are factors to group by in descending heirarchical order. |
data.frame |
Data.frame containing data |
show.outlines |
Whether to include boxes around plots or leave it open |
main |
Plot text |
x.label |
X axis label |
div.axis.major |
How many major axis ticks to use |
div.axis.minor |
How many minor axis ticks to use |
log.x |
Log transform the x data? |
colors.plot |
Plot colors |
panel |
Panel function to use |
box.width.large.scale |
|
box.width.small.scale |
|
box.show.mean |
here~~ |
box.show.box |
here~~ |
box.show.whiskers |
|
... |
Other arguments to pass to lattice function |
Plot
1 2 3 4 5 6 7 8 9 10 11 12 13 | library(datasets)
cw <- transform(ChickWeight,
Time = cut(ChickWeight$Time,4)
)
cw$Chick <- as.factor( sample(LETTERS[seq(3)], nrow(cw), replace=TRUE) )
levels(cw$Diet) <- c("Low Fat","Hi Fat","Low Prot.","Hi Prot.")
compareplot(~weight | Diet * Time * Chick,
data.frame=cw ,
main = "Chick Weights",
box.show.mean=FALSE,
box.show.whiskers=FALSE,
box.show.box=FALSE
)
|
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