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Clean data by means of trimming, i.e., by omitting outlying observations.
Trim(x, trim = 0.1, na.rm = FALSE)a numeric vector to be trimmed.
the fraction (0 to 0.5) of observations to be trimmed from each end of x. Values of trim outside that range (and < 1) are taken as the nearest endpoint.
If trim is set to a value >1 it's interpreted as the number of elements to be cut off at each tail of x.
a logical value indicating whether NA values should be stripped before the computation proceeds.
The trimmed vector x. The indices of the trimmed values will be attached as attribute named "trim".
A symmetrically trimmed vector x with a fraction of trim observations (resp. the given number) deleted from each end will be returned. If trim is set to a value >0.5 or to an integer value > n/2 then the result will be NA.
# NOT RUN {
## generate data
set.seed(1234) # for reproducibility
x <- rnorm(10) # standard normal
x[1] <- x[1] * 10 # introduce outlier
## Trim data
x
Trim(x, trim=0.1)
## Trim fixed number, say cut the 3 extreme elements from each end
Trim(x, trim=3)
## check function
s <- sample(10:20)
s.tr <- Trim(s, trim = 2)
setequal(c(s[attr(s.tr, "trim")], s.tr), s)
# }
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