trans_context: Print Context Around Indices

In trinker/qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

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
)

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.

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.

See Also

boolean_search, question_type, end_mark

Examples

## Not run: 
(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))

## End(Not run)

trinker/qdap documentation built on Sept. 30, 2020, 6:28 p.m.