Description Usage Arguments Details Value See Also Examples
Based on results from prepanel
, specify rules that will determine x and y axis limits to be passed as the lims
argument when calling makeDisplay
.
1 2 |
lims |
object of class "trsPre" |
x |
x-axis limits rule (either "same", "sliced", or "free" - see details) |
y |
y-axis limits rule (either "same", "sliced", or "free" - see details) |
xQuant |
lower and upper quantiles at which to cut off x-axis limits, in the case of outliers. Used when x="same". |
yQuant |
same as xQuant but for y-axis |
xRangeQuant |
a single upper quantile at which to cut off the x-axis range, used when x="sliced", used in the case of a few splits having abnormally high range, which are wished to be excluded |
yRangeQuant |
same as xRangeQuant but for y-axis |
prop |
the proportion of the axis range to pad beyond the actual axis range |
This function reduces the list of axis limits computed for each split of a data set to an overall axis limit rule for the plot.
About "x" and "y" parameters: This is the same as in lattice. From lattice documentation: A character string that determines how axis limits are calculated for each panel. Possible values are "same" (default), "free" and "sliced". For relation="same", the same limits, usually large enough to encompass all the data, are used for all the panels. For relation="free", limits for each panel is determined by just the points in that panel. Behavior for relation="sliced" is similar, except that the length (max - min) of the scales are constrained to remain the same across panels.
object of class "trsLims", which can be used in a call to makeDisplay
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ## Not run:
irisSplit <- datadr::divide(iris, "Species")
irisPreFn <- function(x) {
list(
xlim = range(x$Sepal.Length),
ylim = range(x$Sepal.Width)
)
}
irisPre <- prepanel(irisSplit, prepanelFn = irisPreFn)
irisLims <- setLims(irisPre, x = "same", y = "sliced")
## End(Not run)
d <- datadr::divide(iris, "Species")
irisPreFn <- function(x) {
list(
xlim = range(x$Sepal.Length),
ylim = range(x$Sepal.Width)
)
}
irisPre <- prepanel(d, prepanelFn = irisPreFn)
plot(irisPre)
irisLims <- setLims(irisPre, x = "same", y = "sliced")
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