zoo (version 1.8-12)

rollmean: Rolling Means/Maximums/Medians/Sums


Generic functions for computing rolling means, maximums, medians, and sums of ordered observations.


rollmean(x, k, fill = if (na.pad) NA, na.pad = FALSE, 
  align = c("center", "left", "right"), ...)

rollmax(x, k, fill = if (na.pad) NA, na.pad = FALSE, align = c("center", "left", "right"), ...)

rollmedian(x, k, fill = if (na.pad) NA, na.pad = FALSE, align = c("center", "left", "right"), ...)

rollsum(x, k, fill = if (na.pad) NA, na.pad = FALSE, align = c("center", "left", "right"), ...)

rollmeanr(..., align = "right") rollmaxr(..., align = "right") rollmedianr(..., align = "right") rollsumr(..., align = "right")


An object of the same class as x with the rolling mean/max/median/sum.



an object (representing a series of observations).


integer width of the rolling window. Must be odd for rollmedian.


a three-component vector or list (recycled otherwise) providing filling values at the left/within/to the right of the data range. See the fill argument of na.fill for details.


deprecated. Use fill = NA instead of na.pad = TRUE.


character specifying whether the index of the result should be left- or right-aligned or centered (default) compared to the rolling window of observations.


Further arguments passed to methods.


These functions compute rolling means, maximums, medians, and sums respectively and are thus similar to rollapply but are optimized for speed.

Currently, there are methods for "zoo" and "ts" series and default methods. The default method of rollmedian is an interface to runmed. The default methods of rollmean and rollsum do not handle inputs that contain NAs. In such cases, use rollapply instead.

If x is of length 0, x is returned unmodified.

See Also

rollapply, zoo, na.fill


Run this code

x.Date <- as.Date(paste(2004, rep(1:4, 4:1), sample(1:28, 10), sep = "-"))
x <- zoo(rnorm(12), x.Date)

## rolling operations for univariate series
rollmean(x, 3)
rollmax(x, 3)
rollmedian(x, 3)
rollsum(x, 3)

## rolling operations for multivariate series
xm <- zoo(matrix(1:12, 4, 3), x.Date[1:4])
rollmean(xm, 3)
rollmax(xm, 3)
rollmedian(xm, 3)
rollsum(xm, 3)

## rollapply vs. dedicated rollmean
rollapply(xm, 3, mean) # uses rollmean
rollapply(xm, 3, function(x) mean(x)) # does not use rollmean

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