chain: qdap Chaining

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

qdap Chaining

Description

%&% - Chain qdap_dfs to qdap functions with a text.var argument. Saves typing of an explicit text.var argument and supplying a data.frame.

%>% - The magrittr "then" chain operator imported by dplyr. Imported for convenience. See https://github.com/tidyverse/magrittr for details.

Usage

qdap_df.object %&% qdap.fun

lhs %>% rhs

Arguments

qdap_df.object	A data.frame of the class "qdap_df".
qdap.fun	A qdap function with a text.var argument.
lhs	The value to be piped.
rhs	A function or expression.

References

Inspired by magrittr's %>% functionality.

See Also

%>%, qdap_df

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"))

## Various examples with qdap functions (sentSplit gives class "qdap_df")
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

## 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))

## End(Not run)

qdap documentation built on May 31, 2023, 5:20 p.m.