roll_max {MazamaRollUtils} | R Documentation |
Roll Max
Description
Apply a moving-window maximum function to a numeric vector.
Usage
roll_max(
x,
width = 1L,
by = 1L,
align = c("center", "left", "right"),
na.rm = FALSE
)
Arguments
x |
Numeric vector. |
width |
Integer width of the rolling window. |
by |
Integer shift to use when sliding the window to the next location |
align |
Character position of the return value within the window. One of:
|
na.rm |
Logical specifying whether |
Details
For every index in the incoming vector x
, a value is returned that
is the maximum of all values in x
that fall within a window of width
width
.
The align
parameter determines the alignment of the return value
within the window. Thus:
align = -1 [*------]
will cause the returned vector to have width-1NA
values at the right end.align = 0 [---*---]
will cause the returned vector to have width/2NA
values at either end.align = 1 [------*]
will cause the returned vector to have width-1NA
values at the left end.
For large vectors, theby
parameter can be used to force the window
to jump ahead by
indices for the next calculation. Indices that are
skipped over will be assigned NA
values so that the return vector still has
the same length as the incoming vector. This can dramatically speed up
calculations for high resolution time series data.
Value
Numeric vector of the same length as x
.
Examples
library(MazamaRollUtils)
# Example air quality time series
t <- example_pm25$datetime
x <- example_pm25$pm25
plot(t, x, pch = 16, cex = 0.5)
lines(t, roll_max(x, width = 12), col = 'red')
lines(t, roll_min(x, width = 12), col = 'deepskyblue')
title("12-hr Rolling Max and Min")
plot(t, x, pch = 16, cex = 0.5)
points(t, roll_max(x, width = 12, na.rm = TRUE),
pch = 16, col = 'red')
points(t, roll_max(x, width = 12, na.rm = FALSE),
pch = 16, col = adjustcolor('black', 0.4))
legend("topright", pch = c(1, 16),
col = c("red", adjustcolor("black", 0.4)),
legend = c("na.rm = TRUE", "na.rm = FALSE"))
title("12-hr Rolling max with/out na.rm")