poorman

I’d seen my father. He was a poor man, and I watched him do astonishing things. - Sidney Poitier

Overview

poorman is a grammar of data manipulation, providing dependency free versions of dplyr verbs that help you solve the most common data manipulation challenges:

• select() picks variables based on their names.
• mutate() adds new variables that are functions of existing variables.
• filter() picks cases based on their values.
• summarise() reduces multiple values down to a single summary.
• arrange() changes the ordering of the rows.

poorman attempts to replicate the dplyr API exactly such that your dplyr code will still run even if you use poorman in its place. In addition to replicating dplyr functionality, poorman implements other functionality from the wider tidyverse such as select helpers and the pipe, %>%.

For more details on the functionality available within poorman, check out the poorman series of blog posts here.

Installation

You can install the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("nathaneastwood/poorman")

Or you can install the latest release from CRAN with:

install.packages("poorman")

Docker

If you’d like to try out the latest version of the package on CRAN using Docker, you can run the latest image with:

docker run --rm -it nathaneastwood/poorman

Usage

library(poorman, warn.conflicts = FALSE)
# 
#   I'd seen my father. He was a poor man, and I watched him do astonishing things.
#     - Sidney Poitier

mtcars %>%
  select(mpg, starts_with("c")) %>%
  mutate(mpg2 = mpg * 2, mpg4 = mpg2 * 2) %>%
  filter(mpg > 28)
#                 mpg cyl carb mpg2  mpg4
# Fiat 128       32.4   4    1 64.8 129.6
# Honda Civic    30.4   4    2 60.8 121.6
# Toyota Corolla 33.9   4    1 67.8 135.6
# Lotus Europa   30.4   4    2 60.8 121.6

mtcars %>%
  group_by(am, cyl) %>%
  summarise(meanMpg = mean(mpg), sumMpg = sum(mpg)) %>%
  ungroup()
#   am cyl  meanMpg sumMpg
# 1  0   4 22.90000   68.7
# 2  0   6 19.12500   76.5
# 3  0   8 15.05000  180.6
# 4  1   4 28.07500  224.6
# 5  1   6 20.56667   61.7
# 6  1   8 15.40000   30.8

Related Work

• dplyr
• bplyr - imports magrittr and rlang; it prepends functions with b_*(), e.g. b_select().
• tbltools - imports magrittr and appends *_data() to each of its functions, e.g. select_data().