rapport (version 0.51)

rp.lineplot: Lineplot

Description

This function is a wrapper around xyplot with custom panel. Only numeric variables are accepted with optional facet.

Usage

rp.lineplot(x, y, facet = NULL, data = NULL,
    groups = NULL, ...)

Arguments

x

a numeric variable

y

a numeric variable

facet

an optional categorical variable to make facets by

groups

an optional categorical grouping variable

data

an optional data frame from which the variables should be taken

...

additional parameters to xyplot

Examples

a <- aggregate(wt~gear, mtcars, mean)
rp.lineplot(a$gear, a$wt)
rp.lineplot(gear, wt, data=a)

## lame demo:
rp.lineplot(1:length(mtcars$hp), mtcars$hp, facet=mtcars$cyl)

## advanced usage
rp.lineplot(partner, age, data = rp.desc('age', 'partner', fn = 'mean', data=ius2008)) ## TODO: fix....
rp.lineplot(partner, age, gender, data = rp.desc('age', c('gender', 'partner'), fn = 'mean', data=ius2008))
rp.lineplot(partner, age, groups = gender, data=rp.desc('age', c('gender', 'partner'), fn = 'mean', data = ius2008))

## Did you noticed the nasty axis titles? Why not correct those? :)
df <- rp.desc('age', 'partner', fn = 'mean', data = ius2008)
lapply(names(df), function(x) rp.label(df[, x]) <<- x)   # nasty solution!
rp.lineplot(partner, age, data = df)
df <- rp.desc('age', c('gender', 'partner'), fn = 'mean', data = ius2008)
lapply(names(df), function(x) rp.label(df[, x]) <<- x)  # nasty solution!
rp.lineplot(partner, age, gender, data = df)
df <- rp.desc('age', c('gender', 'partner'), fn = 'mean', data = ius2008)
lapply(names(df), function(x) rp.label(df[, x]) <<- x)  # nasty solution!
rp.lineplot(partner, age, groups = gender, data = df)