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MATH-493
Feedback - Individual reports
logistic comments - H - Q
logistic comments - H - Q
Click
logistic-comments-H-Q.pdf
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◄ logistic comments - A - G
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R Markdown: The Definitive Guide
R Markdown lessons from R Studio
knitr with R Markdown - Karl Broman's website
Forum: Finding group members
Video Lecture 1a
Lecture 1a slides - Reproducible Research
Video Lecture 1b (from end of Prob-Stat I)
Lecture 1b slides - Hypothesis testing review
Power example
Lab 1 - EDA (exploratory data analysis)
Installing R and RStudio
Getting started with R/RStudio
TP 0
Q+A Week 1
Video Lecture 2a
Video Lecture 2b
Lecture 2 slides
Lab 2a
Lab 2a - reponses to questions in class
Linear Models in R
Linear Statistical Models (MASS ch. 6)
Lab 2b (optional but strongly suggested - tutorial on R Markdown)
Q+A Week 2
Report 1 - Group / Data assignments
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Reports - ADDITIONAL TIPS
Q+A Report 1
Video Lecture 3a
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Q+A Week 3
Video Lecture 4a
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Q+A Week 4
Video Lecture 5a
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Video Lecture 5c
Lecture 5 slides
Titanic example of logistic regression in R
Evaluating logistic regression models
Poisson regression in R
Lab 5
Lab 5 - responses to questions in class
Q+A Week 6
Study assessment questions
Video Lecture 6a
Video Lecture 6b
Lecture 6 slides
R Data Camp survival analysis tutorial
Cox ph modeling in R
My.stepwise R package
Lab 6
Comments Lab 6
Q+A Week 7
R1
R2
A1
A2
Late prelim reports (any)
Video Lecture 7a
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Lecture 7 slides
Discrete data analysis with R
Lab 7
Additional comments labs 6+7
More on mosaic plots
Q+A Week 8
Video Lecture 8a (same as Statistical Genetics Lecture 4a)
Video Lecture 8b (same as Statistical Genetics Lecture 4b)
Video Lecture 8c
Lecture 8 slides
Lab 8a - PCA (OPTIONAL)
Food data
Lab 8b - Multiple testing (OPTIONAL)
GWAS-extras + data files
PCs in GWAS - Nature Genetics paper
PCs in GWAS - slide presentation
Manhattan plot with -log10p on y-axis
GWASTools BioConductor R package (data cleaning/qc tools, maybe interesting)
Other tutorial for SNPRelate (possibly interesting, completely optional)
SNPassoc paper (optional but maybe useful)
SNPassoc R package (contains functions for eigenstrat, Cochran-Armitage (trend) test, etc.)
Lecture 9 slides (OPTIONAL)
Quick introduction to pwr package in R (OPTIONAL)
Lab 9 (OPTIONAL) - power tutorial
Lecture 10 slides (OPTIONAL)
Lab 10 (OPTIONAL)
Lecture 11 slides (OPTIONAL)
Lab 11 (OPTIONAL)
Logistic prelim report
GLM prelim report
Survival prelim report
Discrete prelim report
GWAS prelim report
LATE prelim reports - ANY - CLOSED
Video Lecture 12a (OPTIONAL)
Video lecture 12b (OPTIONAL)
Lecture 12 slides (OPTIONAL)
Lab 12 (old lab 6) - OPTIONAL
Hierarchichal clustering in R
Heatmaps in R
Heatmaps in R - short tutorial
R graph gallery - heatmaps
article L1 - due 15 July 23.59
article L2 - due 14 July 23.59
R1-final - due 14 July 23.59
R2-final - due 14 July 23.59
A1-final - due 14 July 23.59
A2-final - due 14 July 23.59
survival-final - due 14 July 23.59
logistic-final - due 14 July 23.59
GLM-final - due 14 July 23.59
discrete-final - due 14 July 23.59
GWAS-final - due 14 July 23.59
R1 comments
R2 comments
A1 comments
A2 comments
discrete comments
glm comments
GWAS logistic (Breheny tutorial)
GWAS comments - Reed et al. tutorial
survival comments
logistic comments - A - G
logistic comments - R - Z
More LATE PRELIM reports
logistic comments - late
More LATE reports (all) - comments
logistic comments - R - Z ►
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