word_diff_list: Differences In Word Use Between Groups

In trinker/qdap2: Bridging the gap between qualitative data and quantitative analysis

Description

Look at the differences in word uses between grouping variable(s). Look at all possible "a" vs. "b" combinations or "a" vs. all others.

Usage

  word_diff_list(text.var, grouping.var, vs.all = FALSE,
    vs.all.cut = 1, stopwords = NULL, alphabetical = FALSE,
    digits = 2)

Arguments

text.var	The text variable.
grouping.var	The grouping variables. Takes a single grouping variable or a list of 1 or more grouping variables.
vs.all	logical. If 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).
vs.all.cut	If vs.all.cut = TRUE this argument controls the number of other groups that may share a word (default is 1).
stopwords	A vector of stop words to remove.
alphabetical	logical. If TRUE orders the word lists alphabetized by word. If FALSE order first by frequency and then by word.
digits	the number of digits to be displayed in the proportion column (default is 3).

Value

An list of word data frames comparing grouping variables word use against one another. Each dataframe contains three columns:

word	The words unique to that group
freq	The number of times that group used that word
prop	The proportion of that group's overall word use dedicated to that particular word

Examples

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)

trinker/qdap2 documentation built on May 31, 2019, 9:47 p.m.