word_diff_list(text.var, grouping.var, vs.all = FALSE, vs.all.cut = 1, stopwords = NULL, alphabetical = FALSE, digits = 2)
NULL generates
one word list for all text. Also takes a single grouping variable or a list
of 1 or more grouping variables.TRUE looks at each grouping variable against
all others ("a" vs. all comparison). If FALSE looks at each "a" vs.
"b", comparison (e.g., for groups "a", "b", and "c"; "a" vs. "b", "a" vs. "c"
and "b" vs. "c" will be considered).TRUE orders the word lists
alphabetized by word. If FALSE order first by frequency and then by
word.An list of word data frames comparing grouping variables word use against one another. Each dataframe contains three columns: wordThe words unique to that group freqThe number of times that group used that word propThe proportion of that group's overall word use dedicated to that particular word
Look at the differences in word uses between grouping variable(s). Look at all possible "a" vs. "b" combinations or "a" vs. all others.
## <strong>Not run</strong>: # out1 <- with(DATA, word_diff_list(text.var = state, # grouping.var = list(sex, adult))) # lapply(unlist(out1, recursive = FALSE), head, n=3) # # out2 <- with(DATA, word_diff_list(state, person)) # lapply(unlist(out2, recursive = FALSE), head, n=3) # # out3 <- with(DATA, word_diff_list(state, grouping.var = list(sex, adult), # vs.all=TRUE, vs.all.cut=2)) # # # out4 <- with(mraja1, word_diff_list(text.var = dialogue, # grouping.var = list(mraja1$sex, mraja1$fam.aff))) # # # out5 <- word_diff_list(mraja1$dialogue, mraja1$person) # # out6 <- word_diff_list(mraja1$dialogue, mraja1$fam.aff, stopwords = Top25Words) # # out7 <- word_diff_list(mraja1$dialogue, mraja1$fam.aff, vs.all=TRUE, vs.all.cut=2) # lapply(out7, head, n=3) # ## <strong>End(Not run)</strong>