Transcript With Word Number


cm_df.transcript(text.var, grouping.var, file = NULL, indent = 4, width = 70, space = 2, ...)


The text variable.
The grouping variables. Default NULL generates one word list for all text. Also takes a single grouping variable or a list of 1 or more grouping variables.
A connection, or a character string naming the file to print to (e.g., .doc, .txt).
Number of spaces to indent.
Width to output the file (defaults to 70; this is generally a good width and indent for a .docx file).
An integer value denoting the vertical spacing between the grouping.var and the numbered text (allow more space for more coding room) in the output of a text file.
Other arguments passed to strip.

Transcript With Word Number


Returns a transcript by grouping variable with word number above each word. This makes use with cm_df2long transfer/usage easier because the researcher has coded on a transcript with the numeric word index already.


Output a transcript with word number/index above for easy input back into qdap after coding.


It is recommended that the researcher actually codes on the output from this file. The codes can then be transferred to via a list. If a file already exists cm_df.transcript will append to that file.


## <strong>Not run</strong>: # with(DATA, cm_df.transcript(state, person)) # with(DATA, cm_df.transcript(state, list(sex, adult))) # #use it with nested variables just to keep track of demographic info # with(DATA, cm_df.transcript(state, list(person, sex, adult))) # # #use double tilde "~~" to keep word group as one word # DATA$state <- mgsub("be certain", "be~~certain", DATA$state, fixed = TRUE) # with(DATA, cm_df.transcript(state, person)) # DATA <- qdap::DATA # # ## with(mraja1spl, cm_df.transcript(dialogue, list(person))) # ## with(mraja1spl, cm_df.transcript(dialogue, list(sex, fam.aff, died))) # ## with(mraja1spl, cm_df.transcript(dialogue, list(person), file="foo.doc")) # ## library(reports); delete("foo.doc") #delete the file just created # ## <strong>End(Not run)</strong>

See also

cm_df2long, cm_df.temp


BondedDust (, Gavin Simpson and Tyler Rinker