crop and mask results persist issues

[Eeveera]

I am new with these things. So, I stack my layer files into SpatRasters. It goes well. My buffer is a SpatVector. (though the issue persisted when I swapped it to SpatRaster too)

r <- c(x, ...)
names(r)
> (a,b,c,d....)

It goes well until here. I visualize my data. Buffer works too and shows the area correctly after I plot it. But the stacked rasters are of an area much bigger than what I am working with. I plot each stacked raster, and they look fine. They have all their values, etc., correct when I print or head. So I move on to cropping them.

z<-crop(r,y)

I crop, then mask using my SpatRaster as x, and SpatVector as y without any additional settings. it gives

Warning message: 
[crop] could not write categories

then i mask crop output with y. Again get:

anotherfillername <- mask (z,y)

Warning message: 
[mask] could not write categories

And then I plot to check my cropped rasters (a,b,c,d...) and I see that while a is cropped as it should, b is full NA with 0 values, c is NA with values between 0-1 and d is as it should, etc. I checked my extends; they are all identical and crs match. I ran the crop/mask functions using rgdal/raster instead to see if it will have issues but no. Raster crop/mask did everything flawlessly, albeit much slower. However, I cannot continue using rgdal/raster as my latter codes are not compatible with it and instead work with predicts/terra.

Solving this NA issue with terra would save a lot of time and trouble. I tried to use the extend=TRUE command on terra's crop and the result is still the same, with some certain rasters appearing NA after the crop. What could be causing this issue?

[rhijmans]

This appears to be related to your raster having categories. But I would need a minimal, reproducible example to be able to diagnose and perhaps fix this.

[Eeveera]

This appears to be related to your raster having categories. But I would need a minimal, reproducible example to be able to diagnose and perhaps fix this.

I see, how can I contact you for it then? If not would trying r <- categorize(r) or r <- asRaster(r) work I wonder 🤔 If those categoriez are related with stacked rasters I might be needing them though because i stacked variables to one to make cropping quick

[rhijmans]

The standard practice is to add the example here. If for some reason you cannot do that, you can write to r.hijmans at gmail.com

[Eeveera]

The standard practice is to add the example here. If for some reason you cannot do that, you can write to r.hijmans at gmail.com

I will send an email then