读取多个.rds文件并创建一个对象

Question

我在stackexchange上看到了其他例子，但似乎无法使它们适应我的代码。

问题:我有一个文件夹的.rds文件，我想读到R，然后堆叠所有的文件在一起，我可以采取均值和标准差。如果相关的话，所有的.rds文件在进入R时都是“正式类RasterLayer”。

示例代码：

 # file path to folder where .rds files are stored
   path = "~/Predictions/"
   # create place to store files
   stack <-""
   # create vector of all .rds files in folder
   pred.dates <- dir(path, pattern =".rds")
   # loop to bring in each .rds file
   for(i in 1:length(pred.dates)){
   file <- readRDS(file.names[i],".rds")
   stack <- rbind(stack, file)
   }

   # take mean of all .rds files stacked together and plot 
   pred_mean <- mean(stack, na.rm=T)
   plot(pred_mean)

   # take sd of all .rds files stacked together and plot 
   pred_sd <- sd(stack, na.rm = T)
   plot(pred_sd)

但是，它返回错误：

Error in gzfile(file, "rb") : cannot open the connection
In addition: Warning message:
In gzfile(file, "rb") :
  cannot open compressed file 'Pred_.rds', probable reason 'No such file or directory'

这看起来应该很简单，但也许我没有使用正确的函数。谢谢!

Answer 1

我认为F. Privé的解决方案的问题在于他们使用rbind而不是stack。我建议你

library(raster)
files <- list.files(path = path, pattern = "\\.rds$", full.names = TRUE)
r <- lapply(files, readRDS)
s <- stack(r)

Answer 2

你可以：

files <- list.files(path = path, pattern = "\\.rds$", full.names = TRUE)
stack <- do.call("rbind", lapply(files, readRDS))