R BootCamp - Washington University in St. Louis
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Transcript R BootCamp - Washington University in St. Louis
R BootCamp
07/11/2013
Jingqin Luo
Course Overview
Modules
Module 1 (07/11, Thur, 9:00~12:00; 1:30~5:00): R
basics, Rosy Luo
Module 2 (07/12, Fri, 9:00~12:00; 1:30~5:00):
statistical modeling in R, YunJu Sung
Module 3 (07/15, Monday 1:30~5:00): R graphics
and advanced topics, Jeff Gill
R primer website:
http://artsci.wustl.edu/~jgill/biostat.R.primer.html
Window
R
Assignments
Lectures and assignments
Integrated lectures and lab
Two class datasets will be used all through modules
After-class assignment daily (done before 5:00)
Data analysis project (weekend 07/13~07/14):
A messy dataset will be provided to the class
Read in the dataset
Data cleaning and recoding
Data exploration (summary stat) and graphics (scatter plot,
boxplot, histogram etc)
Statistical tests
Due dates:
Daily assignment should be handed in before the end of class or
the next day before class.
Data analysis project should be handed in by the end of the 3rd day.
Grading
All assignments will be graded
Grading:
Daily lab assignment from each module: 20% each
Data analysis project: 40%
Late
Module 1 outline
About R
Downloading and Installing R
Start R
Setting up help
Basic syntax (comments in R)
Data types, data structures and data type conversion
Basic mathematical operators in R
Data manipulation & management (subsetting, sort, order,
recoding, reshaping etc)
Quitting R and saving R object