qdap_df: Create qdap Specific Data Structure

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

Description

Creating this qdap specific data structure enables short hand with subsequent qdap function calls that utilize the text.var argument. Combined with the %&% operator, the user n need not specify a data set or the text.var argument (as many qdap functions contain a text.var argument).

Change text.var column of a qdap_df object.

Usage

qdap_df(dataframe, text.var)

Text(object)

Text(object) <- value

Arguments

dataframe	A data.frame with a text variable. Generally, sentSplit should be run first (sentSplit actually produces a data.frame that is of the class "qdap_df").
text.var	The name of the text.var column.
object	A data.frame of the class "qdap_df".
value	A character string of the updated text.var column.

Value

Returns a data.frame of the class "qdap_df".

References

Inspired by dplyr's tbl_df structure.

See Also

%&%, sentSplit

Examples

## Not run: 
dat <- qdap_df(DATA, state)
dat %&% trans_cloud(grouping.var=person)
dat %&% trans_cloud(grouping.var=person, text.var=stemmer(DATA$state))
dat %&% termco(grouping.var=person, match.list=list("fun", "computer"))
class(dat)

## Change text column in `qdap_df` (Example 1)
dat2 <- sentSplit(DATA, "state", stem.col = TRUE)
class(dat2)
dat2 %&% trans_cloud()
Text(dat2)
## change the `text.var` column
Text(dat2) <- "stem.text"
dat2 %&% trans_cloud()

## Change text column in `qdap_df` (Example 2)
(dat2$fake_dat <- paste(emoticon[1:11,2], dat2$state))
Text(dat2) <- "fake_dat"
(m <- dat2 %&% sub_holder(emoticon[,2]))
m$unhold(strip(m$output))

## Various examples with qdap functions
dat <- sentSplit(DATA, "state")
dat %&% trans_cloud(grouping.var=person)
dat %&% termco(person, match.list=list("fun", "computer"))
dat %&% trans_venn(person)
dat %&% polarity(person)
dat %&% formality(person)
dat %&% automated_readability_index(person)
dat %&% Dissimilarity(person)
dat %&% gradient_cloud(sex)
dat %&% dispersion_plot(c("fun", "computer"))
dat %&% discourse_map(list(sex, adult))
dat %&% gantt_plot(person)
dat %&% word_list(adult)
dat %&% end_mark_by(person)
dat %&% end_mark()
dat %&% word_stats(person)
dat %&% wfm(person)
dat %&% word_cor(person, "i")
dat %&% sentCombine(person)
dat %&% question_type(person)
dat %&% word_network_plot()
dat %&% character_count()
dat %&% char_table(person)
dat %&% phrase_net(2, .1)
dat %&% boolean_search("it||!")
dat %&% trans_context(person, which(end_mark(DATA.SPLIT[, "state"]) == "?"))
dat %&% mgsub(c("it's", "I'm"), c("it is", "I am"))

## combine with magrittr/dplyr chaining
dat %&% wfm(person) %>% plot()
dat %&% polarity(person) %>% scores()
dat %&% polarity(person) %>% counts()
dat %&% polarity(person) %>% scores()
dat %&% polarity(person) %>% scores() %>% plot()
dat %&% polarity(person) %>% scores %>% plot

## End(Not run)

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