R：对于每个不同的数据行如何读取特定文件？

Question

I am training Neural network with R. I am using .rds files. Now I have 7000 of these files. They all have the name: model_nn_X_Y.rds. X and Y are the numbers and they are different for every .rds. Furthermore, I have data with columns: Xp Yp H WX WY, also there are 7000 rows. WX WY I am using as attributes for prognosis. Prognosis I am doing for every different point X Y. So How I can pick the right file model_nn_X_Y.rds for the right XY value.

Files: model_nn_20.992_54.0093.rds

model_nn_21.026_54.0277.rds

Data:

"Xp" "Yp" "depth" "t" "dir" "hs" "xw" "yw"

20.992 54.0093 0.7389 1.1798 96.725 0.13842 -0.0000 6.0000

21.009 54.0093 0.9947 1.2053 93.147 0.14697 -0.0000 6.0000

21.026 54.0093 0.9947 1.2239 91.504 0.14636 -0.0000 6.0000

21.043 54.0093 0.7809 1.2240 90.149 0.14293 -0.0000 6.0000

Now I have done this using bash. For 7000 points to work, it takes a very long time because it goes in and out from R to bash.

filenames <- gsub("\\.rds$","", list.files(pattern="model_nn+.*rds")) this line puts into R all .rds files from the directory

Answer 1

If you add a column with your corresponding desired file to read in for each row, you could use map() something like this: map(file_path, readRDS). Just vectorize the file paths and any other parameters you need and use map.