end_mark(text.var, missing.end.mark = "_", missing.text = NA, other.endmarks = NULL)end_mark_by(text.var, grouping.var, digits = 3, percent = FALSE, zero.replace = 0, ...)
NA)
text.NULL generates
one word list for all text. Also takes a single grouping variable or a list
of 1 or more grouping variables.TRUE output given as percent. If
FALSE the output is proportion.end_mark.Returns a character vector of qdap end marks for each sentence. End marks include: "."Declarative sentence. "?"Question sentence. "!"Exclamatory sentence. "|"Incomplete sentence. "*."Imperative-declarative sentence. "*?"Imperative-question sentence (unlikely to occur) "*!"Imperative-exclamatory sentence. "*|"Imperative-incomplete sentence. "no.em"No end mark. "blank"Empty cell/NA.
end_mark - Grab the sentence end marks for a transcript. This can be
useful to categorize based on sentence type.
end_mark_by - Grab the sentence end marks for a transcript by grouping
variable(s).
## <strong>Not run</strong>: # end_mark(DATA.SPLIT$state) # end_mark(mraja1spl$dialogue) # table(end_mark(mraja1spl$dialogue)) # plot(end_mark(mraja1spl$dialogue)) # ques <- mraja1spl[end_mark(mraja1spl$dialogue) == "?", ] #grab questions # htruncdf(ques) # non.ques <- mraja1spl[end_mark(mraja1spl$dialogue) != "?", ] #non questions # htruncdf(non.ques, 20) # ques.per <- mraja1spl[end_mark(mraja1spl$dialogue) %in% c(".", "?"), ] #grab ? and . # htruncdf(ques.per, 20) # # (x_by <- end_mark_by(DATA.SPLIT$state, DATA.SPLIT$person)) # scores(x_by) # counts(x_by) # proportions(x_by) # preprocessed(x_by) # plot(scores(x_by)) # plot(counts(x_by)) # plot(proportions(x_by)) # plot(preprocessed(x_by)) # # #================================# # ## End Marks Over Time Examples ## # #================================# # ##EXAMPLE 1 # sentpres <- lapply(with(pres_debates2012, split(dialogue, time)), function(x) { # end_mark(x) # }) # # sentplots <- lapply(seq_along(sentpres), function(i) { # m <- plot(cumulative(sentpres[[i]])) # if (i != 2) m <- m + ylab("") # if (i != 3) m <- m + xlab(NULL) # m + ggtitle(paste("Debate", i)) # }) # # library(grid) # library(gridExtra) # do.call(grid.arrange, sentplots) # # ##EXAMPLE 2 # sentraj <- lapply(with(rajSPLIT, split(dialogue, act)), function(x) { # end_mark(x) # }) # # sentplots2 <- lapply(seq_along(sentraj), function(i) { # m <- plot(cumulative(sentraj[[i]])) # if (i != 2) m <- m + ylab("") # if (i != 3) m <- m + xlab(NULL) # act <- qcv(I, II, III, IV, V) # m + ggtitle(paste("Act", act[i])) # }) # # ## ggplot2 function to extract legend # g_legend <- function(a.gplot){ # tmp <- ggplot_gtable(ggplot_build(a.gplot)) # leg <- which(sapply(tmp[["grobs"]], function(x) x[["name"]]) == "guide-box") # legend <- tmp[["grobs"]][[leg]] # legend # } # # ## remove legends from plots # sentplots3 <- lapply(sentplots2, function(x){ # x + theme(legend.position="none") + xlab(NULL) + ylab(NULL) # }) # # sentplots3[[6]] <- g_legend(sentplots2[[1]]) # # do.call(grid.arrange, sentplots3) # ## <strong>End(Not run)</strong>