qdap (version 2.4.6)

trans_context: Print Context Around Indices

Description

Print (or save to an external file) n text elements before and after indices.

Usage

trans_context(
  text.var,
  grouping.var,
  inds,
  n.before = 3,
  tot = TRUE,
  n.after = n.before,
  ord.inds = TRUE
)

Value

Returns a dataframe of the class "qdap_context" that can be printed (i.e., saved) in flexible outputs. The dataframe can be printed as a dataframe style or pretty text output. The resulting file contains n rows before and after each index of a vector of indices.

Arguments

text.var

The text variable.

grouping.var

The grouping variables. Also takes a single grouping variable or a list of 1 or more grouping variables.

inds

A list of integer indices to print context for.

n.before

The number of rows before the indexed occurrence.

tot

logical. If TRUE condenses sub-units (e.g., sentences) into turns of talk for that grouping.var.

n.after

The number of rows after the indexed occurrence.

ord.inds

logical. If TRUE inds is ordered least to greatest.

See Also

boolean_search, question_type, end_mark

Examples

if (FALSE) {
(x <- with(DATA, trans_context(state, person, inds=c(1, 4, 7, 11))))
print(x, pretty=FALSE)
print(x, double_space = FALSE)
print(x, file="foo.xlsx")
print(x, file="foo.csv")
print(x, file="foo.txt")
print(x, file="foo.txt", pretty = FALSE)
print(x, file="foo.doc")

## With `end_mark`
inds1 <- which(end_mark(DATA.SPLIT[, "state"]) == "?")
with(DATA.SPLIT, trans_context(state, person, inds=inds1))
with(DATA.SPLIT, trans_context(state, person, n.before = 0, inds=inds1))

## With `boolean_search`
inds2 <- boolean_search(DATA.SPLIT$state, " I &&.")
with(DATA.SPLIT, trans_context(state, person, inds=inds2))

inds3 <- boolean_search(DATA$state, " I ||.")
with(DATA.SPLIT, trans_context(state, person, inds=inds3))
with(DATA.SPLIT, trans_context(state, list(person, sex), inds=inds3))
with(DATA.SPLIT, trans_context(state, list(sex, adult), inds=inds3))

inds4 <- boolean_search(raj$dialogue, spaste(paste(negation.words, collapse = " || ")))
trans_context(raj$dialogue, raj$person, inds4)

### With `question_type`
(x <- question_type(DATA.SPLIT$state, DATA.SPLIT$person))

## All questions
with(DATA.SPLIT, trans_context(state, person, inds=x$inds))

## Specific question types
y <- x[["raw"]]
inds5 <- y[y[, "q.type"] %in% qcv(what, how), "n.row"]
with(DATA.SPLIT, trans_context(state, person, inds=inds5))
with(DATA.SPLIT, trans_context(state, person, inds=inds5, tot=F))
}