R-for-Data-Science: An HTML repository from tiagomendesdantas

title	author
Materials for D-Lab's R for Data Science	Dillon Niederhut

This repository contains the instructor materials for the D-Lab's R intensive.

If you are a student:

You can download the contents of this repository with:

git clone https://github.com/dlab-berkeley/r-for-data-science.git

or, by clicking the "Download Zip" button and then extracting the .zip file.

The instructor of this workshop series will lead you through the activities for each day.

If you are a D-Lab instructor

You'll see accumulated teaching notes and examples for each day's topics in the instructor folder. For your convenience, these are available as .Rmd, commented .R files, PDF documents, and HTML slides. The meta-document for this workshop series, which explains the logic behind the structure and topics, can be viewed at the D-Lab guides repository

For information on contributing to this repository, see CONTRIBUTING.md

If you are a D-Lab facilitator

The standard Drupal workshop descriptions and facetweet postings for this workshop series are in PUBLICITY.md

Description

data/ : data necessary for interactive coding examples
examples/
- save_console_output.R : R code for saving console output to pdf
instructor/ : teaching notes
scripts/
- feedback_cleaner.R : used to clean data for use in Day 3
- regenrate_files.R : for regenerating .R and .pdf files from .Rmd

Topics:

This workshop series covers:

Interacting with R
Datatypes
Data structures
Reading data
Sanitizing data
Missing data
Reshaping data
Summary statistics
Plotting
Linear models
Non-parametric models
Functions
Loops
Parallelization
Packages

Libraries

This workshop uses the following packages:

Amelia
devtools
dplyr
foreign
ggplot2
parallelMap
RCurl
roxygen2
stringr
tidyr
XML

D-Lab == Data Intensive Social Science, For All!