layout | title | keywords | ||||
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lesson |
Data carpentry -- Starting with R for data analysis |
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This is a an introduction to R designed for participants with no programming experience. These lessons can be taught in 3/4 of a day. They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data.frame, how to deal with factors, how to add/remove rows and columns, and finish with how to calculate summary statistics for each level and a very brief introduction to plotting.
- Having RStudio installed
- Before we start
- Introduction to R
- Starting with data
- The
data.frame
class - Manipulating data
- Analyzing data
- Plotting data
- distributed - the files that were distributed at the workshop
- materials - the original materials that the lessons were built on. It also includes more advanced lessons on functions, loops and plotting that we didn't go through
- ref - R references, including a lesson on reshaped and ggplot (ggplot.pdf)