Various functions to analyze data over a moving window of periods.
runSum(x, n = 10, cumulative = FALSE)runMin(x, n = 10, cumulative = FALSE)
runMax(x, n = 10, cumulative = FALSE)
runMean(x, n = 10, cumulative = FALSE)
runMedian(x, n = 10, non.unique = "mean", cumulative = FALSE)
runCov(x, y, n = 10, use = "all.obs", sample = TRUE, cumulative = FALSE)
runCor(x, y, n = 10, use = "all.obs", sample = TRUE, cumulative = FALSE)
runVar(x, y = NULL, n = 10, sample = TRUE, cumulative = FALSE)
runSD(x, n = 10, sample = TRUE, cumulative = FALSE)
runMAD(x, n = 10, center = NULL, stat = "median", constant = 1.4826,
non.unique = "mean", cumulative = FALSE)
wilderSum(x, n = 10)
Object coercible to xts or matrix.
Number of periods to use in the window or, if
cumulative=TRUE, the number of observations to use before the first
result is returned. Must be between 1 and nrow(x), inclusive.
Logical, use from-inception calculation?
One of 'mean', 'max', or 'min'; which compute their respective statistics for the two middle values of even-sized samples.
Object coercible to xts or matrix.
Only "all.obs" currently implemented.
Logical, sample covariance if TRUE (denominator of
n-1)
The values to use as the measure of central tendency, around
which to calculate deviations. The default (NULL) uses the median.
Statistic to calculate, one of 'median' or 'mean' (e.g. median absolute deviation or mean absolute deviation, respectively.)
Scale factor applied to approximate the standard deviation.
A object of the same class as x and y or a vector (if
try.xts fails).
returns sums over a n-period moving window.
returns minimums over a n-period moving window.
returns maximums over a n-period moving window.
returns means over a n-period moving window.
returns medians over a n-period moving window.
returns covariances over a n-period moving window.
returns correlations over a n-period moving window.
returns variances over a n-period moving window.
returns standard deviations over a n-period moving window.
returns median/mean absolute deviations over a n-period moving window.
retuns a Welles Wilder style weighted sum over a n-period moving window.