Using dplyr pipelines to manipulate data frames
Another popular package is dplyr
, which invents a grammar of data manipulation. Instead of using the subset function ([]
), dplyr
defines a set of basic erb
functions as the building blocks of data operations and imports a pipeline operator to chain these functions to perform complex multistep tasks.
Run the following code to install dplyr
from CRAN if you don't have it yet:
install.packages("dplyr")
First, we will reload the product tables again to reset all data to their original forms:
library(readr) product_info <- read_csv("data/product-info.csv") product_stats <- read_csv("data/product-stats.csv") product_tests <- read_csv("data/product-tests.csv") toy_tests <- read_csv("data/product-toy-tests.csv") ...
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