gis - open raster in R! and some statistical operation -

i open raster files (in ascii or tiff format), aggregate cells , after operation count correlation between values in new raster file , one. unfortunately not know wrong in commands - error message:

x <- gdal.open('~/pulpit/dods/karol/tvdi 113_121/tvdi_kamp_evi_transf.asc')  

cpl error 4: `~/pulpit/dods/karol/tvdi 113_121/tvdi_kamp_evi_transf.asc' not exist in file system, , not recognised supported dataset name.

error in .local(.object, ...) : `~/pulpit/dods/karol/tvdi 113_121/tvdi_kamp_evi_transf.asc' not exist in file system, , not recognised supported dataset name.

if having trouble getting filenames, might this:

my_asc_files = dir("../somepath", pattern="*.asc", recursive=t, full.names=t) files_i_want = my_asc_files[c(1,12,32,33)] 

then can load files this

library(raster) my_rasters = lapply(files_i_want, raster) 

then may this:

pairs(my_rasters)  

and this:

for(i in 1:length(my_rasters))    for(j in i:length(my_rasters))        if(i != j) {       df = na.omit(data.frame(values(my_rasters[[i]]), values(my_rasters[[j]])))       cor(df[,1], df[,2])     } 

although run problems if rasters large cannot hold 2 in memory @ same time. without better question hard give better advice.