spatialEco (version 1.0-0)

winsorize: Winsorize transformation

Description

Removes extreme outliers using a winsorization transformation

Usage

winsorize(x, min.value = NULL, max.value = NULL, p = c(0.05, 0.95),
  na.rm = FALSE)

Arguments

x

A numeric vector

min.value

A fixed lower bounds, all values lower than this will be replaced by this value. The default is set to the 5th-quantile of x.

max.value

A fixed upper bounds, all values higher than this will be replaced by this value. The default is set to the 95th-quantile of x.

p

A numeric vector of 2 representing the probabilities used in the quantile function.

na.rm

(FALSE/TRUE) should NAs be omitted?

Value

A transformed vector the same length as x, unless na.rm is TRUE, then x is length minus number of NA's

References

Dixon, W.J. (1960) Simplified Estimation from Censored Normal Samples. Annals of Mathematical Statistics. 31(2):385-391

Examples

# NOT RUN {
set.seed(1234)     
x <- rnorm(100)     
x[1] <- x[1] * 10  
winsorize(x)       

plot(x, type="l")
  lines(winsorize(x), col="red", lwd=2)

# Behavior with NA value(s)
x[4] <- NA
winsorize(x)             # returns x with original NA's 
winsorize(x, na.rm=TRUE) # removes NA's 

# }