Learn R Programming

framecleaner

framecleaner provides a tidyverse-friendly interface for modifying data frames with a sequence of piped commands. These commands wrap dplyr mutate statements in a convenient way to concisely solve common issues that arise when tidying small to medium data sets. It also includes smart defaults and allows selection of columns via tidyselect.

Installation

You can install the released version of framecleaner from CRAN with:

install.packages("framecleaner")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("Harrison4192/framecleaner")

Copy Link

Version

Install

install.packages('framecleaner')

Monthly Downloads

362

Version

0.2.1

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Harrison Tietze

Last Published

March 15th, 2024

Functions in framecleaner (0.2.1)

date_yq

date_yq
pad_auto

pad auto
pad_col

pad column
set_type_groups

set type groups
set_chr

set character
set_date

set date
date_yh

date_yh
remove_whitespace

Remove Whitespace
create_flag

create flag
make_na.data.frame

Make NAs
is_probability

is_probability
select_otherwise

select_otherwise
recode_chr

recode_chr
import_dir

import directory
set_fct

set factor
filter_missing

filter out missings
set_dbl

set double
%>%

Pipe operator
clean_frame

Clean Data Frame
as_integer16_or_64

as_integer16_or_64
fill_na

Fill NAs
filter_for

filter for
create_dummies

create dummies
date_ym

date_ym
auto_setwd

auto setwd
is_integery

is integery
import_tibble

import tibble
relocate_all

Relocate All
is_missing_or_inf

is missing or inf
remove_infs

remove infs
remove_nans

remove nans
is_integerish_character

is integerish character
remove_nas

remove nas
set_int

set integer
set_lgl.data.frame

set logical