An interactive scatterplot matrix

Function creates a scatterplot matrix using loon's scatterplot widgets

l_pairs(data, linkingGroup, linkingKey, showItemLabels = TRUE, itemLabel,
  showHistograms = FALSE, histLocation = c("edge", "diag"),
  histHeightProp = 1, histArgs = list(), showSerialAxes = FALSE,
  serialAxesArgs = list(), parent = NULL, ...)

Arguments

data	a data.frame with numerical data to create the scatterplot matrix
linkingGroup	string giving the linkingGroup for all plots. If missing, a default linkingGroup will be determined from deparsing the data.
linkingKey	a vector of strings to provide a linking identity for each row of the data data.frame. If missing, a default linkingKey will be 0:(nrows(data)-1).
showItemLabels	TRUE, logical indicating whether its itemLabel pops up over a point when the mouse hovers over it.
itemLabel	a vector of strings to be used as pop up information when the mouse hovers over a point. If missing, the default itemLabel will be the row.names(data).
showHistograms	logical (default FALSE) to show histograms of each variable or not
histLocation	one "edge" or "diag", when showHistograms = TRUE
histHeightProp	a positive number giving the height of the histograms as a proportion of the height of the scatterplots
histArgs	additional arguments to modify the `l_hist` states
showSerialAxes	logical (default FALSE) indication of whether to show a serial axes plot in the bottom left of the pairs plot (or not)
serialAxesArgs	additional arguments to modify the `l_serialaxes` states
parent	parent widget path
...	named arguments to modify the `l_plot` states of the scatterplots

Value

an `l_pairs` object (an `l_compound` object), being a list with named elements, each representing a separate interactive plot. The names of the plots should be self explanatory and a list of all plots can be accessed from the `l_pairs` object via `l_getPlots()`. All plots are linked by default (name taken from data set if not provided). Panning and zooming are constrained to work together within the scatterplot matrix (and histograms).

See also

l_plot and l_getPlots

Examples

p <- l_pairs(iris[,-5], color=iris$Species, linkingGroup = "iris")

p <- l_pairs(iris[,-5], color=iris$Species, linkingGroup = "iris",
             showHistograms = TRUE, showSerialAxes = TRUE)
# plot names
names(p)
#>  [1] "x2y2"       "x3y2"       "x4y2"       "x3y3"       "x4y3"      
#>  [6] "x4y4"       "x2y1"       "x3y1"       "x4y1"       "x5y2"      
#> [11] "x5y3"       "x5y4"       "serialAxes"

# Each plot must be accessed to make changes not managed through
# linking.
# E.g. to change the glyph on all scatterplots to open circles
for (plot in l_getPlots(p)) {
      if (is(plot, "l_plot")) {
          plot["glyph"] <- "ocircle"}
          }