a raster file:
library(terra)
ff <- system.file("ex/elev.tif", package="terra")
rasf<- rast(ff)
rasf=rasf/100
I want to classify the values of rasf according to the best match with values of vec , using which.min
vec=c(0.1, 1, 3.5, 6)
so for example a value of 0.2 in rasf will be replaced with 0.1 (because it close to 0.1), a value of 3 in rasf will be replaced with 3.5, etc
