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dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language . [ 1 ]
dplyr – for wrangling and transforming data; tidyr – help transform data specifically into tidy data, where each variable is a column, each observation is a row; each row is an observation, and each value is a cell. readr – help read in common delimited, text files with data; purrr – a functional programming toolkit
Wickham is a prominent and active member of the R user community and has developed several notable and widely used packages including ggplot2, plyr, dplyr and reshape2. [8] [9] Wickham's data analysis packages for R are collectively known as the tidyverse. [10]
Wickham was known for working on packages such as ggplot2 and plyr. Chang was known for also working on ggplot2, and publishing the book R Graphics Cookbook. Grolemund was known for working on the lubridate R package, which makes working with dates and time data types easier. [8] Shiny hex logo
RKTeaching (stylized as rk.Teaching) is a package specially designed for use in teaching and learning statistics, integrating modern packages (such as R2HTML, plyr and ggplot2 among others) as RKWard native outputs. As of 2020, RKTeaching is in version 1.3.0.
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related to: plyr vs dplyr