A base R guy teaching R to new users so he can learn tidyverse
We can take our first steps with saghirb's Getting Started in R.
Project organization and reading excel files with readxl.
Managing spreadsheets presents some chaallenges to data scientists. This article on Data Organization in Spreadsheets may help with some of the issues with managing spreadsheets. Typical issues include the following.
- Unintended white space (space, tabs, etc.) in cells
- Use of coloring in spreadsheet that is not read into R
- The comment character (frequently '#') is used in a data cell
- Dates are handled incorrectly
- Mixing upper and lower case (e.g., Person vs. person)
This mneans that most projects have a phase where spreadsheet data need quality control before it can be analysed.
Example spreadsheet data.
Example GenAlEx data.
Example FASTA data.
R for Data Science
RStudio cheatsheeets
Statistical tools for high-throughput data analysis
Daring fireball (Markdown)
tidyverse
An Introduction to Statistical and Data Sciences via R
Importing Data into R
Why Jenny Bryan doesn't like the first two lines of code from the previous link