Biostatistics (biol 467)
syllabus
GRADES (6
May 2018)
wk11 grades (1 April 2018)
week 1 (Jan 16, 18)
- installing R and RStudio
- topic 1: language of experiments (experimental variables, treatments,
replication, etc.)
- assignment
1: language of experiments
week 2 (Jan 23, 25)
- topic 2: how to structure datasets
- assignment
2: how to structure datasets & import them into R
week 3 & 4 (Jan 30, Feb 1, 6, 8)
- topic 3: mathematical
variable types AND summarizing data
- assignment
3_part1: summarizing data in R
- assignment 3_part2:
why you need a statistics program
- assignment
4:
intro to inference via confidence intervals
weeks 5 & 6 (Feb 13, 15)
- discuss assignment 4 as an intro to inference
- exam1 (Feb 15 or 16)
-- study
guide
week 7 (Feb 27, Mar 1)
- review exam 1
- topic
4: principles of inference: sample vs. statistical
population
week 8 (Mar 6, 8): spring break
- topic
5: experiments with one continuous RV and one categorical EV
- assignment
5: two-sample t-test and single factor ANOVA
(answers
to assignment 5)
- assignment
5-2: single factor ANOVA and unplanned comparisons
(answers
to assignment 5-2)
week 9 (Mar 13, 15)
- discuss topic 5 in context of assignment 5 & 5-2
- assignment
5-3: hand calculating t-test and single factor ANOVA
week 10 (Mar 20, 22)
- discuss topic 5 in context of assignment 5 & 5-2
week 11 (Mar 27):
- exam 2 (study
guide)
week 12 (Apr 3, 5)
-
Topics 6 and 7: experiments with two continuous variables or two ordinal variables or one
continuous EV and one continuous RV
- assignment
6: correlation and simple linear regression
(**answers
to assignment 6**)
- assignment
6-2: P in relation to sample size to remind you of P's meaning
(**answers
to assignment 6-2 **)
week 13 (Apr 10, 12)
- Topics 6 and 7 (continued)
- Topic 11: experiments with one continuous RV and more than one continuous EVs
- Topic 8: experiments with one continuous RV and at least two categorical,
crossed EVs
- assignment
7: factorial analysis of variance
(**answers
to assignment 7**)
- **answers
to assignment 8**
week 14 (Apr 17, 19)
- Topic 11 (continued)
- Topic 15: example of a multivariate data reduction technique
- Discuss Assignment 7 and Assignment 8
week 15 (Apr 24, 26)
- Discuss Assignment 7 and Assignment 8
- **Topic 12: alternatives when requirements of a test
aren't met**
- **Topic 9: block designs and nested
designs**
week 16 (May 1, 3)
- Topic 10 &
Assignment: experiments with one continuous RV, at least one categorical EV,
and a continuous EV (a covariate)
-
Topic
13 & Assignment: experiments with one categorical RV and one continuous or
categorical EV
- Topic 14: experiments with only categorical variables: analysis of frequencies (i.e.,
counts) & relative frequencies (i.e., proportions)
- exam 3 (**study
guide, except for Topic 9, which will be added as a set of notes**)
week 17 (May 8): final exam at 12pm
1. The official R website
https://cran.r-project.org
2. Quick reference sites
Quick-R (http://www.statmethods.net)
R Tutorial (http://www.r-tutor.com)
R Cookbook (http://www.cookbook-r.com
Rstudio Cheat Sheets (https://www.rstudio.com/resources/cheatsheets)
3. My favorite sites with more detailed explanations and examples
**Murray
Logan's site & book are EXCELLENT**
*http://whitlockschluter.zoology.ubc.ca/r-code
*https://stats.idre.ucla.edu/r
http://rtutorialseries.blogspot.com
http://r4stats.com
http://www.theanalysisfactor.com/resources/by-topic/r
http://ww2.coastal.edu/kingw/statistics/R-tutorials/index.html
http://www.gardenersown.co.uk/Education/Lectures/R/index.htm
http://personality-project.org/r/r.guide.html
http://www.burns-stat.com/documents/tutorials/impatient-r
http://www.burns-stat.com/favorite-pages
http://data.princeton.edu/R/default.html
http://manuals.bioinformatics.ucr.edu/home/programming-in-r
4. Three "R Community" type sites. Careful, some people will
be mean if you ask something that is easily searchable on the site.
**http://www.r-bloggers.com**
http://stackoverflow.com/tags/r
http://r.789695.n4.nabble.com