desc <- suppressWarnings(readLines("DESCRIPTION")) regex <- "(^Version:\\s+)(\\d+\\.\\d+\\.\\d+)" loc <- grep(regex, desc) ver <- gsub(regex, "\\2", desc[loc]) verbadge <- sprintf('<a href="https://img.shields.io/badge/Version-%s-orange.svg"><img src="https://img.shields.io/badge/Version-%s-orange.svg" alt="Version"/></a></p>', ver, ver) ```` [![Build Status](https://travis-ci.org/trinker/lexr.svg?branch=master)](https://travis-ci.org/trinker/lexr) [![Coverage Status](https://coveralls.io/repos/trinker/lexr/badge.svg?branch=master)](https://coveralls.io/r/trinker/lexr?branch=master) `r verbadge` ![](tools/lexr_logo/r_lexr.png) ```r library(knitr) knit_hooks$set(htmlcap = function(before, options, envir) { if(!before) { paste('<p class="caption"><b><em>',options$htmlcap,"</em></b></p>",sep="") } }) knitr::opts_knit$set(self.contained = TRUE, cache = FALSE) knitr::opts_chunk$set(fig.path = "tools/figure/")
lexr is an R package designed to quickly make lexical dispersion plots. The user will typically be interested in the lexical_dispersion_plot
function.
To download the development version of lexr:
Download the zip ball or tar ball, decompress and run R CMD INSTALL
on it, or use the pacman package to install the development version:
if (!require("pacman")) install.packages("pacman") pacman::p_load_gh("trinker/lexr")
You are welcome to: submit suggestions and bug-reports at: https://github.com/trinker/lexr/issues send a pull request on: https://github.com/trinker/lexr/ * compose a friendly e-mail to: tyler.rinker@gmail.com
A collection of different lexical dispersion plots made with lexr + qdap packages.
if (!require("pacman")) install.packages("pacman"); library(pacman) p_load(qdap, lexr) term_match(raj$dialogue, c(" love ", "love", " night ", "night")) lexical_dispersion_plot(raj$dialogue, c(" love ", "love", " night ", "night")) lexical_dispersion_plot(raj$dialogue, c("love", "night"), rm.var =raj$act) with(rajSPLIT , lexical_dispersion_plot(dialogue, c("love", "night"), grouping.var = list(fam.aff, sex), rm.var =act)) ## With grouping variables with(rajSPLIT , lexical_dispersion_plot(dialogue, c("love", "night"), grouping.var = sex, rm.var =act)) ## Drop total with `total.color = NULL` with(rajSPLIT , lexical_dispersion_plot(dialogue, c("love", "night"), grouping.var = sex, rm.var =act, total.color = NULL)) ## Change color scheme with(rajSPLIT, lexical_dispersion_plot(dialogue, c("love", "night"), bg.color = "black", grouping.var = list(fam.aff, sex), color = "yellow", total.color = "white", horiz.color="grey20")) ## Use `word_list` ## Presidential debates by all wrds <- word_list(pres_debates2012$dialogue, stopwords = Top200Words) wrds2 <- spaste(wrds[["rfswl"]][["all"]][, "WORD"]) wrds2 <- c(" governor romney ", wrds2[-c(3, 12)]) with(pres_debates2012 , lexical_dispersion_plot(dialogue, wrds2, , time)) ## Presidential debates by person dat <- pres_debates2012 dat <- dat[dat$person %in% qcv(ROMNEY, OBAMA), ] wordlist <- c(" tax", " health", " rich ", "america", " truth", " money", "cost", " governnor", " president", " we ", " job", " i ", " you ", " because ", " our ", " years ")
with(dat, lexical_dispersion_plot(dialogue, wordlist, total.color = NULL, grouping.var = person, time, bg.color = "white", color = "black", horiz.color="grey80")) wordlist2 <- c(" i'd ", " i'll ", " i'm ", " i've ", " i ", " we'd ", " we'll ", " we're ", " we've ", " we ", " you'd ", " you'll ", " you're ", " you've ", " you ", " your ", " he'd ", " he'll ", " he's ", " he ") with(dat, lexical_dispersion_plot(dialogue, wordlist2, grouping.var = person, time, bg.color = "black", color = "yellow", total.color = NULL, horiz.color="grey20")) with(dat, lexical_dispersion_plot(dialogue, wordlist2, grouping.var = person, time, bg.color = "black", color = "red", total.color = "white", horiz.color="grey20")) ## `match.terms` as a named list wordlist3 <- list( I = c(" i'd ", " i'll ", " i'm ", " i've ", " i "), we = c(" we'd ", " we'll ", " we're ", " we've ", " we "), you = c(" you'd ", " you'll ", " you're ", " you've ", " you ", " your "), he = c(" he'd ", " he'll ", " he's ", " he ") )
with(dat, lexical_dispersion_plot(dialogue, wordlist3, grouping.var = person, time, bg.color = "grey60", color = "blue", total.color = "grey40", horiz.color="grey20"))
Schiffrin, D. (2001). Discourse markers: Language, meaning, and context.
In D. Schiffrin, D. Tannen, & H. E. Hamilton (Eds.), The handbook of
discourse analysis (pp. 54-75). Malden, MA: Blackwell Publishing.
discoure_markers <- list( response_cries = c(" oh ", " ah ", " aha ", " ouch ", " yuk "), back_channels = c(" uh-huh ", " uhuh ", " yeah "), summons = " hey ", justification = " because " ) (markers <- with(pres_debates2012, termco(dialogue, list(person, time), discoure_markers) )) plot(markers, high="red") with(pres_debates2012, lexical_dispersion_plot(dialogue, discoure_markers, person, time) )
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