20.1 Test Mining Setup
20180603 Packages used in this chapter include RColorBrewer (Neuwirth 2014), Rgraphviz (Hansen et al. 2018), dplyr (Wickham et al. 2021), ggplot2 (Wickham et al. 2020), qdap (Rinker 2020), qdapDictionaries (Rinker 2018a), scales (Wickham and Seidel 2020), stringr (Wickham 2019b), tm (Feinerer and Hornik 2020), wordcloud (Fellows 2018), and rattle (G. Williams 2021).
Packages are loaded into the currently running R session from your
local library directories on disk. Missing packages can be installed
using utils::install.packages() within R. On Ubuntu, for
example, R packages can also be installed using
$ wajig install r-cran-<pkgname>.
# Load required packages from local library into the R session. library(RColorBrewer) # Generate palette of colours for plots. library(Rgraphviz) # Correlation plots. library(dplyr) # Data wrangling, pipe operator %>%(). library(ggplot2) # Plot word frequencies. library(qdap) # Quantitative discourse analysis of transcripts. library(qdapDictionaries) library(rattle) # Support: riskchart() errorMatrix(). library(scales) # Support: commas(), percent(). library(stringr) # str_replace_all(). library(tm) # Framework for text mining. library(wordcloud)
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