Read text file with readLines and answer a df — readlines_in

This function reads the content of a text file line by line and stores it in a data frame. You must pick up the FIRST col' for the file_path readed, and the LAST col for the content readed intermediar are additionnal info, i.e. line_number

Usage

readlines_in_df(
  files_path,
  return_lowered_text = FALSE,
  .verbose = TRUE,
  file_path_col_name = "file_path",
  content_col_name = "content",
  line_number_col_name = "line_number",
  trimws_line = FALSE
)

Arguments

files_path: character Path(s) or url(s) to the text files to read.
return_lowered_text: logical, default = FALSE TRUE for lowercasing the returned text. FALSE (the default) will preserve the readed text
.verbose: logical, default = TRUE If TRUE, shows a progress bar while reading the file.
file_path_col_name: character, default = "file_path" Column name for the file path in the output dataframe.
content_col_name: character, default = "content" Column name for the file content in the output dataframe.
line_number_col_name: character, default = "line_number" Column name for the line numbers in the output dataframe.
trimws_line: logical, default = FALSE. trim white space(s) at the end and the begining of each line

Value

Return a data.frame with 3 columns. The last column (content by default) contain the readed lines from the file.

file_path: character Path of the file where the match was found.
line_number: integer Line number in the file.
content: character Content of the line.

Examples

if (FALSE) { # \dontrun{
  df <- readlines_in_df("path/to/file.R", case.sensitive = TRUE)
  contents_readed <- df[[ncol(df)]]
  file_path_readed <-  df[[1]]
} # }