导入名称中包含通用字符的数据集的最快方法？

Question

I have the following sets of data into the directory:

As you could see they are named with common chacrters they share each other. Could anyone suggest any possible way to import them all together in one round?

Answer 1

list.files with pattern would give the name of the files in the directory, you may use lapply / map to import them together.

#select files that start with RP and end with extension xls.
filenames <- list.files(pattern = '^RP.*\\.xls$')
data <- purrr::map(filenames, readxl::read_excel)

If all the files have same column names and you would like to import them as one combined dataframe then use purrr::map_df instead of purrr::map .

Answer 2

You can use list.files in collect your files and assign to create variable table names:

files <- list.files(pattern = "\\.xls")
for (i in 1:length(files)) {
  assign(gsub("\\.xls", "", files[i]), readxl::read_xls(files[i]))
}