linechart: Linechart

In paulemms/datamining: Data mining

Linechart

Description

Plot each data row as a curve.

Usage

linechart(
  y,
  se = NULL,
  xlab = NULL,
  ylab,
  effects = F,
  med = F,
  xscale = c("equal", "linear", "none"),
  ...
)

Arguments

y	a named vector or matrix.
se	a vector or matrix, same size as y, of error bounds. Alternatively, y can be list(y,se).
effects	If TRUE, the columns are shifted to have zero mean.
med	If TRUE and effects=TRUE, the columns are shifted to have zero median.
xscale	describes how the columns should be placed.
...	additional arguments to labeled.curves.

Details

If xscale="linear", the columns are placed to make each curve as straight as possible. If xscale="equal", the columns are placed similar to "linear" but with the constraint that they must be equally spaced. If xscale="none", the columns are placed in the order that they appear in the matrix. This is automatic if y has ordered columns (see dim.ordered). If se != NULL, error bars are drawn around each point.

Linecharts are a replacement for dotcharts and mosaics.

Author(s)

Tom Minka

See Also

dotchart, mosaicplot

Examples

# compare to a dotchart
data(VADeaths)
dotchart(VADeaths, main = "Death Rates in Virginia - 1940")
dimOrdered(VADeaths)[2] = F
linechart(VADeaths)
linechart(t(VADeaths))

# compare to a mosaicplot
data(HairEyeColor)
x <- margin.table(HairEyeColor,c(1,2))
dimOrdered(x) = F
mosaicplot(x)
x = t(x)
col = c("brown","blue","red","green")
linechart(row.probs(x),color.pal=col)
linechart(row.probs(x,se=T),color.pal=col)
linechart(row.probs(x,se=T),jitter=0.02,color.pal=col)
mosaicplot(x)
linechart(row.probs(t(x),se=T))

data(blood)
dimOrdered(blood) = F
linechart(row.probs(blood,se=T))

data(antacids)
dimOrdered(antacids) = F
linechart(row.probs(antacids,se=T))
mosaicplot(t(antacids))

paulemms/datamining documentation built on March 1, 2023, 4:01 p.m.