https://github.com/cran/gstat
Tip revision: e5a07f3f3fab2a9f5fe835e821b956f345ed990e authored by Edzer J. Pebesma on 02 May 2005, 15:32:49 UTC
version 0.9-19
version 0.9-19
Tip revision: e5a07f3
na.action.R
library(gstat)
data(meuse)
data(meuse.grid)
set.seed(13131) # reproduce results
# select 10 random rows;
# create two missing values in the coordinates:
m = meuse.grid[sample(nrow(meuse.grid), 10), ]
m[c(2,8), "x"] = NA
krige(log(zinc)~1,~x+y,meuse,m, na.action = na.pass)
krige(log(zinc)~1,~x+y,meuse,m, na.action = na.omit)
krige(log(zinc)~1,~x+y,meuse,m, na.action = na.exclude)
try(krige(log(zinc)~1,~x+y,meuse,m, na.action = na.fail))
# select 10 random rows;
# create two missing values in the regressor variable:
m = meuse.grid[sample(nrow(meuse.grid), 10), ]
m[c(3,7), "dist"] = NA
krige(log(zinc)~dist,~x+y,meuse,m, na.action = na.pass)
krige(log(zinc)~dist,~x+y,meuse,m, na.action = na.omit)
krige(log(zinc)~dist,~x+y,meuse,m, na.action = na.exclude)
try(krige(log(zinc)~dist,~x+y,meuse,m, na.action = na.fail))