knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The data.handling package includes several tutorials to reach reproducible data analysis with R with the tidyverse package.
Importing and cleaning data usually take up the vast majority of time spent working on a project. The statistical analysis is often fairly quick and done in a few lines of code. To make an analysis reproducible, we need to do all the data processing with code (rather than editing files in Excel).
This project is designed to help you process your raw data entirely with R so that it is ready for plotting and statistical analysis.
You can install data.handling
from GitHub with:
# install.packages("remotes") remotes::install_github("Bio302-UiB/data-handling")
To access the tutorials, you first need to load the package.
library(data.handling)
The tutorials should appear in the tutorials tab. This is normally in the top right pane of Rstudio next to the Environment and History tabs.
You can also get a list of the available tutorials by running
learnr::available_tutorials(package = "data.handling")
Tutorials can be run with
learnr::run_tutorial("Dates-and-times", package = "data.handling")
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