Nothing
#' Descriptive Word Statistics
#'
#' Transcript apply descriptive word statistics.
#'
#' @param text.var The text variable or a \code{"word_stats"} object (i.e., the
#' output of a \code{word_stats} function).
#' @param grouping.var The grouping variables. Default \code{NULL} generates
#' one word list for all text. Also takes a single grouping variable or a list
#' of 1 or more grouping variables.
#' @param tot Optional turns of talk variable that yields turn of talk measures.
#' @param parallel logical. If \code{TRUE} attempts to run the function on
#' multiple cores. Note that this may not mean a speed boost if you have one
#' core or if the data set is smaller as the cluster takes time to create
#' (parallel is slower until approximately 10,000 rows). To reduce run time
#' pass a \code{"word_stats"} object to the \code{\link[qdap]{word_stats}}
#' function.
#' @param rm.incomplete logical. If \code{TRUE} incomplete statements are
#' removed from calculations in the output.
#' @param digit.remove logical. If \code{TRUE} removes digits from calculating
#' the output.
#' @param apostrophe.remove logical. If \code{TRUE} removes apostrophes from
#' calculating the output.
#' @param digits Integer; number of decimal places to round when printing.
#' @param \ldots Any other arguments passed to \code{\link[qdap]{end_inc}}.
#' @details Note that a sentence is classified with only one endmark. An
#' imperative sentence is classified only as imperative (not as a state, quest,
#' or exclm as well). If a sentence is both imperative and incomplete the
#' sentence will be counted as incomplete rather than imperative.
#' labeled as both imperative
#' @section Warning: It is assumed the user has run \code{sentSplit} on their
#' data, otherwise some counts may not be accurate.
#' @return Returns a list of three descriptive word statistics:
#' \item{ts}{A data frame of descriptive word statistics by row}
#' \item{gts}{A data frame of word/sentence statistics per grouping variable:
#' \itemize{
#' \item{n.tot}{ - number of turns of talk}
#' \item{n.sent}{ - number of sentences}
#' \item{n.words}{ - number of words}
#' \item{n.char}{ - number of characters}
#' \item{n.syl}{ - number of syllables}
#' \item{n.poly}{ - number of polysyllables}
#' \item{sptot}{ - syllables per turn of talk}
#' \item{wptot}{ - words per turn of talk}
#' \item{wps}{ - words per sentence}
#' \item{cps}{ - characters per sentence}
#' \item{sps}{ - syllables per sentence}
#' \item{psps}{ - poly-syllables per sentence}
#' \item{cpw}{ - characters per word}
#' \item{spw}{ - syllables per word}
#' \item{n.state}{ - number of statements}
#' \item{n.quest}{ - number of questions}
#' \item{n.exclm}{ - number of exclamations}
#' \item{n.incom}{ - number of incomplete statements}
#' \item{p.state}{ - proportion of statements}
#' \item{p.quest}{ - proportion of questions}
#' \item{p.exclm}{ - proportion of exclamations}
#' \item{p.incom}{ - proportion of incomplete statements}
#' \item{n.hapax}{ - number of hapax legomenon}
#' \item{n.dis}{ - number of dis legomenon}
#' \item{grow.rate}{ - proportion of hapax legomenon to words}
#' \item{prop.dis}{ - proportion of dis legomenon to words}
#' }
#' }
#' \item{mpun}{An account of sentences with an improper/missing end mark}
#' \item{word.elem}{A data frame with word element columns from gts}
#' \item{sent.elem}{A data frame with sentence element columns from gts}
#' \item{omit}{Counter of omitted sentences for internal use (only included if
#' some rows contained missing values)}
#' \item{percent}{The value of percent used for plotting purposes.}
#' \item{zero.replace}{The value of zero.replace used for plotting purposes.}
#' \item{digits}{integer value od number of digits to display; mostly internal
#' use}
#' @keywords descriptive statistic
#' @export
#' @seealso
#' \code{\link[qdap]{end_inc}}
#' @examples
#' \dontrun{
#' word_stats(mraja1spl$dialogue, mraja1spl$person)
#'
#' (desc_wrds <- with(mraja1spl, word_stats(dialogue, person, tot = tot)))
#'
#' ## Recycle for speed boost
#' with(mraja1spl, word_stats(desc_wrds, person, tot = tot))
#'
#' scores(desc_wrds)
#' counts(desc_wrds)
#' htruncdf(counts(desc_wrds), 15, 6)
#' plot(scores(desc_wrds))
#' plot(counts(desc_wrds))
#'
#' names(desc_wrds)
#' htruncdf(desc_wrds$ts, 15, 5)
#' htruncdf(desc_wrds$gts, 15, 6)
#' desc_wrds$mpun
#' desc_wrds$word.elem
#' desc_wrds$sent.elem
#' plot(desc_wrds)
#' plot(desc_wrds, label=TRUE, lab.digits = 1)
#'
#' ## Correlation Visualization
#' qheat(cor(scores(desc_wrds)[, -1]), diag.na = TRUE, by.column =NULL,
#' low = "yellow", high = "red", grid = FALSE)
#'
#' ## Parallel (possible speed boost)
#' with(mraja1spl, word_stats(dialogue, list(sex, died, fam.aff)))
#' with(mraja1spl, word_stats(dialogue, list(sex, died, fam.aff),
#' parallel = TRUE))
#'
#' ## Recycle for speed boost
#' word_stats(desc_wrds, mraja1spl$sex)
#' }
word_stats <-
function(text.var, grouping.var = NULL, tot = NULL, parallel = FALSE,
rm.incomplete = FALSE, digit.remove = FALSE, apostrophe.remove = FALSE,
digits = 3, ...) {
totin <- tot
n.sent <- n.tot <- n.words <- n.char <- n.syl <- n.poly <- NULL
if(is.null(grouping.var)) {
G <- "all"
} else {
if (is.list(grouping.var)) {
m <- unlist(as.character(substitute(grouping.var))[-1])
m <- sapply(strsplit(m, "$", fixed=TRUE), function(x) {
x[length(x)]
}
)
G <- paste(m, collapse="&")
} else {
G <- as.character(substitute(grouping.var))
G <- G[length(G)]
}
}
if(is.null(grouping.var)){
grouping <- rep("all", length(text.var))
} else {
if (is.list(grouping.var) & length(grouping.var)>1) {
grouping <- paste2(grouping.var)
} else {
grouping <- unlist(grouping.var)
}
}
if (!inherits(text.var, "word_stats")){
t.o.t. <- if(is.null(tot)){
paste0(1:length(text.var), ".", 1)
} else {
as.character(tot)
}
Text <- as.character(text.var)
if (any(is.na(text.var))) {
omit <- which(is.na(text.var))
} else {
omit <- NULL
}
DF <- stats::na.omit(data.frame(group = grouping, tot.sen = t.o.t.,
TOT = TOT(t.o.t.), text.var = Text, stringsAsFactors = FALSE))
if (is.dp(text.var=DF[, "text.var"])){
warning(paste0("\n Some rows contain double punctuation.",
" Suggested use of sentSplit function."))
}
if (rm.incomplete) {
DF <- end_inc(dataframe = DF, text.var = text.var, ...)
}
DF$group <- DF$group[ , drop = TRUE]
DF$n.sent <- 1:nrow(DF)
DF <- DF[with(DF, order(DF$group, DF$n.sent)), ]
M <- DF_word_stats(text.var = DF$text.var, digit.remove = digit.remove,
apos_rm = apostrophe.remove, parallel = parallel)
M <- M[, !names(M) %in% c("text.var", "n.sent")]
DF <- data.frame(DF, M)
DF$end.mark <- substring(DF$text.var, nchar(DF$text.var),
nchar(DF$text.var))
DF$end.mark2 <- substring(DF$text.var, nchar(DF$text.var)-1,
nchar(DF$text.var))
DF$sent.type <- ifelse(DF$end.mark2%in%c("*.", "*?", "*!"), "n.imper",
ifelse(DF$end.mark==".", "n.state",
ifelse(DF$end.mark=="?", "n.quest",
ifelse(DF$end.mark=="!", "n.exclm",
ifelse(DF$end.mark=="|", "n.incom", NA)))))
} else {
if(is.null(tot)){
t.o.t. <- paste0(1:nrow(text.var[["ts"]]), ".", 1)
} else {
t.o.t. <- as.character(tot)
}
if (!is.null(text.var[["omit"]])){
grouping <- grouping[-text.var[["omit"]]]
if(!is.null(tot)){
t.o.t. <- t.o.t.[-text.var[["omit"]]]
}
omit <- text.var[["omit"]]
} else {
omit <- NULL
}
DF <- data.frame(group = grouping, tot.sen = t.o.t.,
TOT = TOT(t.o.t.), text.var$ts[, -1])
if (is.dp(text.var=DF[, "text.var"])){
warning(paste0("\n Some rows contain double punctuation.",
" Suggested use of sentSplit function."))
}
}
mpun <- which(!DF$end.mark %in% c("!", ".", "|", "?", "*"))
comment(mpun) <- "These observations did not have a ! . | ? * endmark"
if(any(is.na(DF$sent.type))) {
warning("Some sentences do not have standard qdap punctuation endmarks.",
"\n Use $mpun for a list of observations with missing endmarks.")
}
DF$end.mark2 <- NULL
LIST <- split(DF, DF[, "group"])
totter <- function(x) {length(unique(x))}
stats <- function(x){
st <- c(
n.tot = totter(x[, "TOT"]),
n.sent = nrow(x),
n.words = sum(x[, "word.count"], na.rm = TRUE),
n.char = sum(x[, "character.count"], na.rm = TRUE),
n.syl = sum(x[, "syllable.count"], na.rm = TRUE),
n.poly = sum(x[, "polysyllable.count"], na.rm = TRUE)
)
return(st)
}
DF2 <- do.call("rbind", lapply(LIST, stats))
row2col <- function(dataframe, new.col.name = NULL){
x <- data.frame(NEW = rownames(dataframe), dataframe,
check.names=FALSE)
if(!is.null(new.col.name)) names(x)[1] <- new.col.name
rownames(x) <- 1:nrow(x)
return(x)
}
DF2 <- row2col(DF2, "group")
DF2 <- transform(DF2,
sptot = round(n.sent/n.tot, digits=digits),
wptot = round(n.words/n.tot, digits=digits),
wps = round(n.words/n.sent, digits=digits),
cps = round(n.char/n.sent, digits=digits),
sps = round(n.syl/n.sent, digits=digits),
psps = round(n.poly/n.sent, digits=digits),
cpw = round(n.char/n.words, digits=digits),
spw = round(n.syl/n.words, digits=digits),
pspw = round(n.poly/n.words, digits=digits)
)
typer <- function(df){
types <- c("n.state", "n.quest", "n.exclm", "n.imper", "n.incom")
sapply(types, function(x) sum(stats::na.omit(df[, "sent.type"]==x)))
}
DF2 <- data.frame(DF2, do.call("rbind", lapply(LIST, typer)))
DF2 <- DF2[order(-DF2$n.words), ]
rownames(DF2) <- NULL
qdaMOD <- suppressWarnings(lapply(LIST, function(x) {
A <- rm_stopwords(x[, "text.var"], stopwords="", strip=TRUE, unlist=TRUE)
if (identical(A, character(0))) {
return (c(DIS=0, HAPAX=0, ALL=0))
} else {
if (length(A) == 1 && A=="") {
return (c(DIS=0, HAPAX=0, ALL=0))
} else {
B <- data.frame(table(unblanker(A)))
HAPAX <- sum(B[,2]==1, na.rm = TRUE)
DIS <- sum(B[,2]==2, na.rm = TRUE)
ALL <- sum(B[,2], na.rm = TRUE)
return(c(DIS=DIS, HAPAX=HAPAX, ALL=ALL))
}
}
}
))
qdaMOD <- data.frame(do.call("rbind", qdaMOD))
HAPAX <- qdaMOD[, "HAPAX"]
DIS <- qdaMOD[, "DIS"]
ALL <- qdaMOD[, "ALL"]
rankDF <- data.frame(words=ALL, group=rownames(qdaMOD),
n.hapax=HAPAX, n.dis=DIS,
grow.rate=round(HAPAX/ALL, digits=digits),
prop.dis= round(DIS/ALL, digits=digits))
rankDF <- rankDF[order(-rankDF$words),]
rownames(rankDF) <- NULL
DF2 <- data.frame(DF2, rankDF[, -c(1:2)])
names(DF2)[1] <- G
DF2 <- DF2[order(-DF2$n.tot, -DF2$n.sent), ]
rownames(DF2) <- NULL
DF3 <- DF
if (!inherits(text.var, "word_stats")) {
DF3 <- DF3[order(DF3$n.sent), ]
} else {
DF3 <- DF3[order(DF3$sent.num), ]
}
rownames(DF3) <- NULL
names(DF3) <- c(G, names(DF3)[c(2:3)], "text.var",
"sent.num", names(DF3)[-c(1:5)])
if(is.null(tot)){
DF3$tot.sen <- NULL
}
DF3$TOT <- if (is.null(tot)){
NULL
} else {
DF3$TOT
}
if(is.null(totin)){
DF2$n.tot <- NULL
DF2$sptot <- NULL
DF2$wptot <- NULL
}
sum2 <- function(x){
if(is.numeric(x)){
sum(x, na.rm = TRUE)
} else {
TRUE
}
}
col_keeps <- unlist(lapply(DF2, sum2))!=0
col_keeps[colnames(DF2) == "pspw"] <- TRUE
DF2 <- DF2[, col_keeps]
rng <- which(colnames(DF2) %in% c("pspw", "n.hapax"))
proDF2 <- lapply(DF2[, (rng[1]+1):(rng[2]-1), drop=FALSE], function(x) {
round(x/DF2[, "n.sent"], digits = digits)
})
proDF2 <- do.call(cbind, proDF2)
class(proDF2) <- "matrix"
colnames(proDF2) <- gsub("n.", "p.", colnames(proDF2), fixed = TRUE)
word.elem <- DF2[, -c((rng[1]+1):(rng[2]-1))]
sent.elem <- data.frame(DF2[, (rng[1]+1):(rng[2]-1)], proDF2)
DF2 <- data.frame(DF2[, 1:(rng[2] - 1)], proDF2, DF2[, rng[2]:ncol(DF2)],
check.names = FALSE)
o <- list(ts = DF3, gts = DF2, mpun = mpun, word.elem = word.elem,
sent.elem = sent.elem, omit = omit, digits = digits)
class(o) <- "word_stats"
return(o)
}
#' Prints a word_stats object
#'
#' Prints a word_stats object.
#'
#' @param x The word_stats object
#' @param digits Integer; number of decimal places to round in the display of
#' the output.
#' @param \ldots ignored
#' @method print word_stats
#' @export
print.word_stats <-
function(x, digits = NULL, ...) {
if (is.null(digits)) {
digits <- x$digits
}
WD <- options()[["width"]]
options(width=3000)
print(left_just(dfnumfor(x$gts, digits = digits), 1))
options(width=WD)
}
#' Plots a word_stats object
#'
#' Plots a word_stats object.
#'
#' @param x The word_stats object
#' @param label logical. If \code{TRUE} the cells of the heat map plot will be
#' labeled with count and proportional values.
#' @param lab.digits Integer values specifying the number of digits to be
#' printed if \code{label} is \code{TRUE}.
#' @param \ldots Other arguments passed to qheat.
#' @method plot word_stats
#' @export
plot.word_stats <- function(x, label = FALSE, lab.digits = NULL, ...) {
v <- x$gts
if (is.null(lab.digits)) {
lab.digits <- x$digits
}
if (!label) {
qheat(v, ...)
} else {
mat2 <- dfnumfor(x$gts, digits = lab.digits)
qheat(v, values = label, mat2 = mat2, ...)
}
}
#a helper function used in word_stats (not exported)
DF_word_stats <-
function(text.var, digit.remove = FALSE, apos_rm = FALSE,
digits = 3, parallel = FALSE) {
syllable.count <- character.count <- word.count <- NULL
polysyllable.count <- NULL
DF <- stats::na.omit(data.frame(text.var = text.var,
stringsAsFactors = FALSE))
DF$n.sent <- 1:nrow(DF)
DF[, "word.count"] <- word_count(DF$text.var, missing = 0,
digit.remove = digit.remove)
DF[, "character.count"] <- character_count(DF$text.var,
apostrophe.remove = apos_rm, digit.remove = digit.remove)
DF <- data.frame(DF, combo_syllable_sum(DF$text.var, parallel = parallel))
DF <- DF[, c("text.var", "n.sent", "word.count", "character.count",
"syllable.count", "polysyllable.count") ]
DF <- transform(DF, char2word.ratio =
round(character.count/word.count, digits=digits),
syl2word.ratio = round(syllable.count/word.count, digits=digits),
polysyl2word.ratio = round(polysyllable.count/word.count, digits=digits))
punctuation <- function(x) substr(x, nchar(x), nchar(x))
DF$end.mark <- unlist(lapply(DF$text.var, punctuation))
rownames(DF) <- 1:nrow(DF)
DF <- DF[order(DF$n.sent),]
return(DF)
}
#' Word Stats
#'
#' View question_type scores.
#'
#' question_type Method for scores
#' @param x The \code{\link[qdap]{question_type}} object.
#' @param \ldots ignored
#' @export
#' @method scores word_stats
scores.word_stats <- function(x, ...) {
out <- x[["gts"]]
attributes(out) <- list(
class = c("table_score", class(out)),
type = "word_stats_scores",
names = colnames(out),
row.names = rownames(out)
)
out
}
#' Word Stats
#'
#' View word_stats counts.
#'
#' word_stats Method for counts
#' @param x The \code{\link[qdap]{word_stats}} object.
#' @param \ldots ignored
#' @export
#' @method counts word_stats
counts.word_stats <- function(x, ...) {
out <- x[["ts"]]
attributes(out) <- list(
class = c("word_stats_counts", class(out)),
type = "word_stats_counts",
names = colnames(out),
row.names = rownames(out)
)
out
}
#' Prints a word_stats_counts object
#'
#' Prints a word_stats_counts object
#'
#' @param x The word_stats_counts object
#' @param \ldots ignored
#' @export
#' @method print word_stats_counts
print.word_stats_counts <-
function(x, ...) {
WD <- options()[["width"]]
options(width=3000)
class(x) <- "data.frame"
print(x)
options(width=WD)
}
#' Plots a word_stats_counts Object
#'
#' Plots a word_stats_counts object.
#'
#' @param x The word_stats_counts object.
#' @param alpha The alpha level to use for points.
#' @param \ldots ignored
#' @importFrom ggplot2 ggplot aes geom_point theme theme_minimal ylab xlab scale_size_continuous element_blank guides
#' @importFrom scales alpha
#' @method plot word_stats_counts
#' @export
plot.word_stats_counts <- function(x, alpha = .3, ...){
nms1 <- plot_namer(names(x)[1])
names(x)[1] <- "group"
plot1 <- gantt_plot(x[, "text.var"], x[, "group"], plot=FALSE)
plot1 <- plot1 +
xlab("Duration (in words)") + ylab(nms1)
plot2 <- word_counts2(DF=x,x = "word.count", y = "polysyl2word.ratio",
g="group", alpha = alpha)
grid.arrange(plot1, plot2, ncol=2)
}
plot_namer <- function(x) {
paste(sapply(unlist(strsplit(x, "&")), Caps), collapse =" & ")
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.