Abstract
Transforming your data is a basic part of data wrangling. This can include filtering, summarizing, and ordering your data by different means. This also includes combining disparate data sets, creating new variables, and many other manipulation tasks. Although many fundamental data transformation and manipulation functions exist in R, historically they have been a bit convoluted and lacked a consistent and cohesive code structure. Consequently, Hadley Wickham developed the very popular package to make these data processing tasks more efficient along with a syntax that is consistent and easier to remember and read.
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Notes
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The EDAWR package contains multiple data sets and can be downloaded by executing devtools::install_github(“rstudio/EDAWR”)
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You can get the RStudio cheatsheets at https://www.rstudio.com/resources/cheatsheets/or within a working RStudio session by going to Help > Cheatsheets
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© 2016 Springer International Publishing Switzerland
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Boehmke, B.C. (2016). Transforming Your Data with dplyr . In: Data Wrangling with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-45599-0_22
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DOI: https://doi.org/10.1007/978-3-319-45599-0_22
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