useR@HSPH

This web site is for the useR@HSPH, a student R user group at Harvard School of Public Health. Meeting shcedules and materials covered in sessions are posted here.

Installing and Configuring R and RStudio

R and RStudio are used in this group. You have to bring your own WiFi-capable laptop with these installed.

• How to install: http://www.slideshare.net/kaz_yos/install-and-configure-r-and-rstudio
• Download R: http://lib.stat.cmu.edu/R/CRAN/
• Download RStudio: http://rstudio.org/download/desktop

Slides, Scripts, and Data (Scroll down for incoming sessions)

2012-09-21 (Friday) 12:30 @K201 Introduction to R

• Slides: http://www.slideshare.net/kaz_yos/introduction-to-r-14309419
• R script etc: http://rpubs.com/kaz_yos/IntroToR

2012-09-28 (Friday) 12:30 @K201 Reading data into R

• Slides: http://www.slideshare.net/kaz_yos/reading-data-into-r
• R script etc: http://rpubs.com/kaz_yos/reading-data-into-R
• Appendix probability functions in R: http://rpubs.com/kaz_yos/probability-functions-in-R

2012-10-05 (Friday) 12:30 @K201 Reading data into R REVISED

• Slides: http://www.slideshare.net/kaz_yos/reading-data-into-r-revised
• R script etc: http://rpubs.com/kaz_yos/reading-data-into-R
• Rosner Data: http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20bI&product_isbn_issn=9780538733496

2012-10-12 (Friday) 12:30 @K201 Reading data into R REVISED (Repeated as a catch-up session)

• Slides: http://www.slideshare.net/kaz_yos/reading-data-into-r-revised
• R script etc: http://rpubs.com/kaz_yos/reading-data-into-R
• Rosner Data: http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20bI&product_isbn_issn=9780538733496

2012-10-19 (Friday) 12:30 @K201 Descriptive statistics in R (mean, sd, median, IQR, etc)

• Slides: http://www.slideshare.net/kaz_yos/descriptive-statistics-with-r-14497707
• R script: http://rpubs.com/kaz_yos/descriptive-statistics-with-R
• Rosner Data: http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20bI&product_isbn_issn=9780538733496

2012-10-22 (Monday) 12:30 @K202 Describing categorical data in R (tables, cross tables, proportions, 2x2 table)

• Slides: http://www.slideshare.net/kaz_yos/categorical-data-with-r
• R script: http://rpubs.com/kaz_yos/categorical
• Data: We will use a built-in dataset.

2012-11-02 (Friday) 12:30 @K201 Introduction to Deducer: A graphical user interface for R

• Slides: http://www.slideshare.net/kaz_yos/introduction-to-deducer
• See videos: http://www.youtube.com/user/MrIanfellows?feature=watch
• Download one of the following files depending on your environment.
• JGR for Mac: http://rforge.net/JGR/web-files/JGR-1.6-SL.dmg
• JGR for Win (32bit): http://rforge.net/JGR/web-files/jgr-1_62.exe

2012-11-19 (Monday) 12:30 @K201 (Very) Basic graphing with R (base, lattice, ggplot2)

• Slides: http://www.slideshare.net/kaz_yos/very-basic-graphing-with-r
• R script: http://rpubs.com/kaz_yos/basic-graphing
• Rosner Data: http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20bI&product_isbn_issn=9780538733496

2012-11-26 (Monday) 12:30 @K201 Groupwise comparison of continuous variables (t-test, ANOVA, nonparametric alternatives)

• Slides: http://www.slideshare.net/kaz_yos/groupwise-comparison-of-continuous-data
• R script: http://rpubs.com/kaz_yos/groupwise
• Rosner Data: http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20bI&product_isbn_issn=9780538733496

2012-12-07 (Friday) 12:30 @K209 Linear regression 1: Prepare data/specify model/read results

• Slides: http://www.slideshare.net/kaz_yos/linear-regression-with-r-1
• R script: http://rpubs.com/kaz_yos/lm1
• Data explanation: http://www.umass.edu/statdata/statdata/data/lowbwt.txt
• Data: http://www.umass.edu/statdata/statdata/data/lowbwt.dat

2012-12-10 (Monday) 12:30 @K201 Linear regression 1: Prepare data/specify model/read results (part 2)

• Slides: http://www.slideshare.net/kaz_yos/linear-regression-with-r-1
• R script: http://rpubs.com/kaz_yos/lm1
• Data explanation: http://www.umass.edu/statdata/statdata/data/lowbwt.txt
• Data: http://www.umass.edu/statdata/statdata/data/lowbwt.dat

2012-12-17 (Monday) 12:30 @K201 Linear regression 1: Repeated

2013-01-25 (Friday) 12:30 @K201 Linear regression 1: Repeated

2013-02-01 (Friday) 12:30 @K201 Linear regression (model selection)

• Slides: http://www.slideshare.net/kaz_yos/linear-regression-with-r-2
• R script: http://rpubs.com/kaz_yos/lm2
• Data explanation: http://www.umass.edu/statdata/statdata/data/lowbwt.txt
• Data: http://www.umass.edu/statdata/statdata/data/lowbwt.dat

2013-02-08 (Friday) 12:30 @K201 Cancelled due to snowstorm.

2013-02-15 (Friday) 12:30 @K201 Back to the basics: Reading data in and manipulation data.

• Slides: http://www.slideshare.net/kaz_yos/20130215-readingmanipulatingdata
• R script: http://rpubs.com/kaz_yos/data-manipulation
• Data (.csv, Rosner): http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20bI&product_isbn_issn=9780538733496
• Data (.xls and .sas7bdat, Hernan): http://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/

2013-02-22 (Friday) 12:30 @K203 Back to the basics: Data structures in R

• Slides: http://www.slideshare.net/kaz_yos/20130222-datastructuresinr
• R script: http://rpubs.com/kaz_yos/data-manipulation
• Data: We will create our own datasets.

2013-03-01 (Friday) 12:30 @K201 Lists and Data Frames. Most commonly used data structures in R

• Slides: http://www.slideshare.net/kaz_yos/20130222-datastructuresinr
• R script: http://rpubs.com/kaz_yos/array-list-df
• Data: We will create our own datasets.

2013-03-08 (Friday) 12:30 @K201 Preparing variables for modeling

• Slides: http://www.slideshare.net/kaz_yos/20130308-modelinginr
• R script: http://rpubs.com/kaz_yos/data-prep
• Data: http://www.umass.edu/statdata/statdata/data/lowbwt.dat
• Data explanation: http://www.umass.edu/statdata/statdata/data/lowbwt.txt

2013-03-15 (Friday) 12:30 @K201 Preparing variables for modeling

• Slides: http://www.slideshare.net/kaz_yos/20130308-modelinginr
• R script: http://rpubs.com/kaz_yos/data-prep
• Data: http://www.umass.edu/statdata/statdata/data/lowbwt.dat
• Data explanation: http://www.umass.edu/statdata/statdata/data/lowbwt.txt

2013-03-29 (Friday) 12:30 @K203 Basic graphing with R (base, lattice, ggplot2)

• Slides: http://www.slideshare.net/kaz_yos/very-basic-graphing-with-r
• R script: http://rpubs.com/kaz_yos/basic-graphics2

2013-04-05 (Friday) 12:30 @K203 Summarizing data by groups

• R script: http://rpubs.com/kaz_yos/group-summary
• Data: http://www.umass.edu/statdata/statdata/data/lowbwt.dat
• Data explanation: http://www.umass.edu/statdata/statdata/data/lowbwt.txt

2013-04-12 (Friday) 12:30 @K203 Tables, indexing, examining contents of an object

• R script: http://rpubs.com/kaz_yos/examine-objects
• Data: http://www.umass.edu/statdata/statdata/data/lowbwt.dat
• Data explanation: http://www.umass.edu/statdata/statdata/data/lowbwt.txt

2013-04-19 (Friday) 12:30 @K203 Drawing survival curves in R

• R script: http://rpubs.com/kaz_yos/km-curves
• Data: We will use data within R.

2013-04-26 (Friday) 12:30 @K203 Drawing survival curves in R

• R script: http://rpubs.com/kaz_yos/km-curves
• Data: We will use data within R.

2013-05-03 (Friday) 12:30 @K203 Cox regression in R

• R script: http://rpubs.com/kaz_yos/coxph-hsph
• Data: We will use data within R.

2013-05-10 (Friday) 12:30 @K203 meta package for meta-analysis

• R script: http://rpubs.com/kaz_yos/meta
• Reference: BMJ Books Systematic Reviews in Health Care ( http://www.blackwellpublishing.com/medicine/bmj/systreviews/samplechap.asp )

Linear regression (model diagnostics)

• Slides: http://www.slideshare.net/kaz_yos/lm3 # Not ready
• R script: http://rpubs.com/kaz_yos/residuals-bio213-abbr
• Data explanation: http://www.umass.edu/statdata/statdata/data/lowbwt.txt
• Data: http://www.umass.edu/statdata/statdata/data/lowbwt.dat

For presentations: http://www.slideshare.net/kaz_yos

For other R materials: http://rpubs.com/kaz_yos/

By: Kazuki Yoshida (Twitter: @kaz_yos; e-mail: kazky at mac.com)