Description Usage Arguments Value Examples
A function for computing the rolling and expanding medians of time-series data.
1 2 |
x |
vector or matrix. Rows are observations and columns are variables. |
width |
integer. Window size. |
weights |
vector. Weights for each observation within a window. |
min_obs |
integer. Minimum number of observations required to have a value within a window,
otherwise result is |
complete_obs |
logical. If |
na_restore |
logical. Should missing values be restored? |
online |
logical. Process observations using an online algorithm. |
An object of the same class and dimension as x
with the rolling and expanding
medians.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | n <- 15
x <- rnorm(n)
weights <- 0.9 ^ (n:1)
# rolling medians with complete windows
roll_median(x, width = 5)
# rolling medians with partial windows
roll_median(x, width = 5, min_obs = 1)
# expanding medians with partial windows
roll_median(x, width = n, min_obs = 1)
# expanding medians with partial windows and weights
roll_median(x, width = n, min_obs = 1, weights = weights)
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