R package with useful functions for data preparation and documentation.
Functions to quickly initialize a standard project structure
project_structure()
Initializes folder structure and R files from templates in the current working directory.
Functions to quickly return information on the input data
-
data_overview()
Returns an overview table for the input dataset. -
data_check()
Returns a table with info on missingness and variable type for the input dataset. -
data_missing()
Returns overview on missing values for variables of the input. -
data_clean()
Returns input dataframe without empty rows and columns.
Functions to quickly return basic annotation for the input data
annotation_create()
Returns a basic annotation for the input dataset
Functions to find specific groups of variables in the input data
-
find_binary()
Returns binary variables from input dataset. -
find_continouus()
Returns continouus variables from input dataset.
Functions to create dummy variables in the input data and annotation file
-
dummies_annotate()
Returns the annotation with additional dummy variables. -
dummies_make()
Returns the input data with additional dummy variables.
Functions easily comment your analysis
comment()
Let's you grow a matrix with comments throughout your analysis.
Functions to easily measure time of your analysis
-
time_start()
Creates a starting point for a time measurement. -
time_stop()
Calculates the time sincetime_start()
was initialized.
You can get the development version from GitHub with:
devtools::install_github("janbrederecke/prepareD")
The logo was designed by Tim Brederecke.
Please submit feedback and suggestions through Github's issues facility.