ggplot2: Elegant Graphics for Data Analysis

By Cedric E. Ginestet. 2011

8,422 citations recorded by the source corpus.

Subfields: Food Science, Genetics, Molecular Biology

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Citations in the corpus

Quantitative missense variant effect prediction using large-scale mutagenesis data (2017, positive): “…Pedregosa et al. (2011) http://scikit-learn.org/stable/ R version 3.2.3 R https://cran.r-project.org/ ggplot2/2.2.1 Wickham (2016) http://ggplot2.org/ reshape2/1.4.2 Wickham (2016) https://cran.r-project.org/web/packages/reshape2/index.html DSSP Kabsch and Sander,…”
STRUCTURE PLOT: a program for drawing elegant STRUCTURE bar plots in user friendly interface (2014, positive): “R is used as scripting language, and ggplot2 package (Wickham 2009) is used for plotting bar graphs.”
Simple Features for R: Standardized Support for Spatial Vector Data (2018, background): “…package cluster now known as the tidyverse (Wickham, 2017, 2014), which includes popular packages such as dplyr (Wickham et al., 2017) and ggplot2 (Wickham, 2016), does not work well with the spatial classes of sp: • tidyverse packages assume objects not only behave like data.frames (which sp…”
pdp: An R Package for Constructing Partial Dependence Plots (2017, neutral): “Of course, since the default output produced by partial is still a data frame, the user can easily use any plotting package he/she desires to visualize the results— ggplot2 (Wickham, 2009), for instance (see Section 2.2.5 and Section 2.2.6 for examples).”
The lost generation hypothesis: could climate change drive ectotherms into a developmental trap ? (2015, methodology): “To visualize the phenology patterns in the two periods (n  1064 and n  922 recordings, respectively), we fitted a smoother through the relative number of observations per day using the geom_density function in the ggplot2 package (Wickham 2009) in R ver.”
Predicting consumer behavior with Web search (2010, methodology): “Data aggregation was carried out with Hadoop and Pig (14), statistical analysis was conducted in R, and graphs were generated with ggplot2 (15).”
Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments (2020, positive): “22,23 As a result, both robvis functions return a ggplot object, meaning they can be easily customized further using the ggplot2 framework.”
A primer of acoustic analysis for landscape ecologists (2011, background): “The metrics plotted over space and over time (some plotted with ggplot2 by Wickham (2009)) provide a useful means to understand the patterns of sound in landscapes.”
Nitrogen enrichment, altered stoichiometry, and coral reef decline at Looe Key, Florida Keys, USA: a 3-decade study (2019, methodology): “Regressions were plotted with R package “ggplot2” (Wickham 2009) and “ggpubr” (Kassambara 2018).”