11.1 Visualisation Setup

20200608 Packages used in this chapter include GGally (Schloerke et al. 2021), RColorBrewer (Neuwirth 2014), colorRamps (Keitt 2012), dplyr (Wickham et al. 2021), epitools (Aragon 2020), ggplot2 (Wickham et al. 2020), lubridate (Spinu, Grolemund, and Wickham 2021), randomForest (Breiman et al. 2018), scales (Wickham and Seidel 2020), stringr (Wickham 2019b), tidyr (Wickham 2021), magrittr (Bache and Wickham 2020), and rattle (G. Williams 2020).

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(GGally)       # Pairs plots.
library(RColorBrewer) # Brew various colour ranges.
library(colorRamps)   # Generate colour ranges: blue2green2red().
library(dplyr)        # glimpse().
library(epitools)     # Colour selection: colors.plot().
library(ggplot2)      # Visualise data.
library(lubridate)    # Tidy dates and time.
library(scales)       # commas(), percent().
library(stringr)      # str_replace_all().
library(tidyr)        # Tidy the dataset: pivot_longer().
library(rattle)       # Dataset weatherAUS.

References

Aragon, Tomas J. 2020. Epitools: Epidemiology Tools. https://CRAN.R-project.org/package=epitools.
Bache, Stefan Milton, and Hadley Wickham. 2020. Magrittr: A Forward-Pipe Operator for r. https://CRAN.R-project.org/package=magrittr.
Breiman, Leo, Adele Cutler, Andy Liaw, and Matthew Wiener. 2018. randomForest: Breiman and Cutler’s Random Forests for Classification and Regression. https://www.stat.berkeley.edu/~breiman/RandomForests/.
Keitt, Tim. 2012. colorRamps: Builds Color Tables. https://CRAN.R-project.org/package=colorRamps.
Neuwirth, Erich. 2014. RColorBrewer: ColorBrewer Palettes. https://CRAN.R-project.org/package=RColorBrewer.
Schloerke, Barret, Di Cook, Joseph Larmarange, Francois Briatte, Moritz Marbach, Edwin Thoen, Amos Elberg, and Jason Crowley. 2021. GGally: Extension to Ggplot2. https://CRAN.R-project.org/package=GGally.
Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. 2021. Lubridate: Make Dealing with Dates a Little Easier. https://CRAN.R-project.org/package=lubridate.
———. 2019b. Stringr: Simple, Consistent Wrappers for Common String Operations. https://CRAN.R-project.org/package=stringr.
———. 2021. Tidyr: Tidy Messy Data. https://CRAN.R-project.org/package=tidyr.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2020. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.
Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2021. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.
Wickham, Hadley, and Dana Seidel. 2020. Scales: Scale Functions for Visualization. https://CRAN.R-project.org/package=scales.
Williams, Graham. 2020. Rattle: Graphical User Interface for Data Science in r. https://rattle.togaware.com/.


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