Description Usage Arguments Details Value See Also Examples
Displays a data frame of both factor and numerical variables in parallel panels. Factors levels are indicated by black rectangles, using dummy variables for more than two levels. Numerical variables are shown as simple index plots with an optional loess smoother. Panels can be arranged horizontally or vertically, and different groups of subjects can be indicated through different background colors.
1 2 3 4 5 6 7 8 9 |
x |
usually a data frame, which is passed to |
grp |
an optional vector of cluster memberships, in the same order as
the rows of |
grpcol |
an optional vector of background colors for the clusters
specified in |
grplabel |
an optional vector of names for the clusters specified in
|
horizontal |
logical value whether to plot variables horizontally (default) or vertically |
asIs |
a logical value indicating whether |
control |
a named list of control parameters that determines the visual
appearance of the plot; see |
Missing values are indicated by a box marking in nacol
for factor
values.
Invisibly, a list containing the data and parameters used for plotting each binary indicator and numerical variable, respectively. This is an internal data structure, mostly useful for debugging. Irrelevant, as the main desired effetc is a plot to the current graphical device.
annHeatmap2
, convAnnData
,
par
, picketPlotControl
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Standard call
data(mtcars)
picketPlot(mtcars)
## Pre-process the data for display
mm = convAnnData(mtcars, inclRef=FALSE)
picketPlot(mm, asIs=TRUE)
## Higher panels for continous traits
picketPlot(mm, asIs=TRUE, control=list(numfac=3))
## With clusters
picketPlot(mtcars, grp = rep(1:2, c(16, 16)), grpcol = c("pink","lightblue"), grplabel=c("Cluster 1", "Cluster 2"))
|
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