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This function extracts all words from the pdf file and discards all words which are variables in the data set and all words which are white listed. Based on this a list of words is returned, which might be listed as variables in the documentation but not in the data set.

Usage

reverse_check_docu(
  white_list = c(english_words, german_words),
  pdf_path,
  sav_path,
  encoding = NULL
)

Arguments

white_list

A character vector containing all words which should not be flagged. Defaults to a combination of a German and English corpus.

pdf_path

Character vector with paths to the .pdf files.

sav_path

Character vector with paths to the .sav files.

encoding

The character encoding used for the file. The default, NULL, use the encoding specified in the file, but sometimes this value is incorrect and it is useful to be able to override it.

Value

A data.frame with the columns suspicious_words, missing_documentation and comment.

Examples

# File pathes
sav_path1 <- system.file("extdata", "helper_spss_p1.sav", package = "eatFDZ")
sav_path2 <- system.file("extdata", "helper_spss_p2.sav", package = "eatFDZ")
pdf_path1 <- system.file("extdata", "helper_codebook_p1.pdf", package = "eatFDZ")
pdf_path2 <- system.file("extdata", "helper_codebook_p2.pdf", package = "eatFDZ")
pdf_path3 <- system.file("extdata", "helper_codebook_p3.pdf", package = "eatFDZ")

check_df <- reverse_check_docu(sav_path = c(sav_path1, sav_path2),
                       pdf_path = c(pdf_path1, pdf_path2, pdf_path3))