r <- rast(nrows=5, ncols=5, xmin=0, xmax=1, ymin=0, ymax=1)
values(r) <- c(-10:0, NA, NA, NA, 0:10)
x <- ifel(r > 1, 1, r)
# same as
a <- classify(r, cbind(1, Inf, 1))
# or
b <- app(r, fun=function(i) {i[i > 1] <- 1; i})
# or
d <- clamp(r, -Inf, 1)
# or (not recommended for large datasets)
e <- r
e[e>1] <- 1
## other examples
f <- ifel(is.na(r), 100, r)
z <- ifel(r > -2 & r < 2, 100, 0)
# nested expressions
y <- ifel(r > 1, 1, ifel(r < -1, -1, r))
k <- ifel(r > 0, r+10, ifel(r < 0, r-10, 3))
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