panel.xblocks.RdPlot contiguous blocks along x axis. A typical use would be to highlight events or periods of missing data.
panel.xblocks(x, ...)
# Default S3 method
panel.xblocks(x, y, ..., col = NULL, border = NA,
height = unit(1, "npc"),
block.y = unit(0, "npc"), vjust = 0,
name = "xblocks", gaps = FALSE,
last.step = median(diff(tail(x))))
# S3 method for class 'ts'
panel.xblocks(x, y = x, ...)
# S3 method for class 'zoo'
panel.xblocks(x, y = x, ...)In the default method, x gives the ordinates along the x axis and
must be in increasing order. y gives the color values to plot as
contiguous blocks. If y is numeric, data coverage is plotted,
by converting it into a logical (!is.na(y)). Finally, if
y is a function, it is applied to x (time(x) in
the time series methods).
If y has character (or factor) values, these are interpreted
as colors – and should therefore be color names or hex
codes. Missing values in y are not plotted. The default
color is taken from the current theme:
trellis.par.get("plot.line")$col. If col is given,
this over-rides the block colors.
The ts and zoo methods plot the y values
against the time index time(x).
In the default method, further arguments are graphical parameters
passed on to gpar.
if col is specified, it determines the colors of the blocks
defined by y. If multiple colors are specified they will be
repeated to cover the total number of blocks.
border color.
height of blocks, defaulting to the full panel height. Numeric values are interpreted as native units.
y axis position of the blocks. Numeric values are interpreted as native units.
vertical justification of the blocks relative to block.y. See
rectGrob.
a name for the grob (grid object).
Deprecated.
Use panel.xblocks(time(z), is.na(z)) instead.
width (in native units) of the final block. Defaults to the median of the last 5 time steps (assuming steps are regular).
Blocks are drawn forward in "time" from the specified x locations,
up until the following value. Contiguous blocks are calculated using
rle.
xyplot.ts,
panel.rect,
grid.rect
## Example of highlighting peaks in a time series.
set.seed(0)
flow <- ts(filter(rlnorm(200, mean = 1), 0.8, method = "r"))
## using an explicit panel function
xyplot(flow, panel = function(x, y, ...) {
panel.xblocks(x, y > mean(y), col = "lightgray")
panel.xyplot(x, y, ...)
})
## using layers; this is the `ts` method because `>` keeps it as ts.
xyplot(flow) +
layer_(panel.xblocks(flow > mean(flow), col = "lightgray"))
## Example of alternating colors, here showing calendar months
flowdates <- as.Date("2000-01-01") + as.numeric(time(flow))
xyplot(flow ~ flowdates, type = "l") +
layer_(panel.xblocks(x, months,
col = c("lightgray", "#e6e6e6"), border = "darkgray"))
## highlight values above and below thresholds.
## blue, gray, red colors:
bgr <- hcl(c(0, 0, 260), c = c(100, 0, 100), l = c(90, 90, 90))
dflow <- cut(flow, c(0,15,30,Inf), labels = bgr)
xyplot(flow) + layer_(panel.xblocks(time(flow), dflow))
## Example of highlighting gaps (NAs) in time series.
## set up example data
z <- ts(cbind(A = 0:5, B = c(6:7, NA, NA, 10:11), C = c(NA, 13:17)))
## show data coverage only (highlighting gaps)
xyplot(z, panel = panel.xblocks,
scales = list(y = list(draw = FALSE)))
## draw gaps in darkgray
xyplot(z, type = c("p","s")) +
layer_(panel.xblocks(x, is.na(y), col = "darkgray"))
## Example of overlaying blocks from a different series.
## Are US presidential approval ratings linked to sunspot activity?
## Set block height, default justification is along the bottom.
xyplot(presidents) + layer(panel.xblocks(sunspot.year > 50, height = 2))