README.md

dataManagement

Data package with example database management vignettes, presentation, and datasets

Installing this package

Install the package from github using devtools:

library(devtools)
install_github("clabuzze/dataManagement")

Make sure the following dependencies are installed: - dplyr - readr - knitr - tidyr - lubridate

install.packages("insert_package_name")

Exploring this package

First, load the package!

library(dataManagement)

Take a look at the datasets

There are datasets that are set up well and others that are poorly constructed. To load a dataset in a readable format use the following commands:

View(dataManagement::package_name)

After typing "View(dataManagment::" a list of all the datasets should appear: - full - location - observer - sighting - sightings_bad - sightings_really_bad - species - species_bad

Learn what not to do

Take a look at the sightings_bad, sightings_really_bad, and species_bad datasets

Also, look at the documentation for each of the datasets, to learn what might be wrong with each of them

?dataManagement::sightings_bad
?dataManagement::sightings_really_bad
?dataManagement::species_bad

How to better manage data

Consider viewing the "Data Management Tips" vignette:

  1. Enter "browseVignettes('dataManagement')" in the Console window
  2. Select the HTML link for the "Data Management Tips" Vignette

Look at the following datasets and their documentation as examples: - full - location - observer - sighting - species

Consider learning about making your own R Data Package: https://github.com/jarad/RDataPackageTemplate



clabuzze/dataManagement documentation built on Sept. 8, 2020, 10:37 a.m.