	Biostatistics (biol 467)


	syllabus 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 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 week 14 (Apr 17, 19) - Topic 11 (continued) - Topic 15: example of a multivariatae data reduction technique - Discuss Assignment 7 and Assignment 8 - Topic 9: issues that must be considered with block designs and nested designs - Topic 10: experiments with one continuous RV, at least one categorical EV, and a continuous EV (a covariate) week 15 (Apr 24, 26) - Topic 12: alternatives when response variable’s error distribution doesn’t meet requirements of a test - Topic 13: experiments with one categorical RV and one continuous or categorical EV week 16 (May 1, 3) - Topic 14: experiments with only categorical variables: analysis of frequencies (i.e., counts) & relative frequencies (i.e., proportions) - exam 3 week 17 (May 8): final exam at 12pm



	My "go-to" websites for R

	1. The official R website https://cran.r-project.org 2. A great overview of R websites, & an excellent reference site itself http://www.inside-r.org/r-resources-web 3. My FAVORITE quick reference sites Rstudio Cheat Sheets (https://www.rstudio.com/resources/cheatsheets) Quick-R (http://www.statmethods.net) R Tutorial (http://www.r-tutor.com) R Cookbook (http://www.cookbook-r.com 4. My favorite sites with more detailed explanations and examples http://whitlockschluter.zoology.ubc.ca/r-code http://www.ats.ucla.edu/stat http://rtutorialseries.blogspot.com http://r4stats.com 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 5. Three of my favorite "R Community" type sites. Careful, many 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


	W&S code for combined stripchart & mean with ci W&S code for combined stripchart & mean +/- sd customized to assign 2 #creates a new variable (idweek) in the dataset dat1 by combining id with week and making sure there's no space between the value of id and the value of week. dat1$idweek = paste(dat1$id, dat1$week, sep="") currentdataframeName$varName<-ifelse((currentdataframeName$varName=="currentTxtValue"), "newTxtValueIfTrue", "newTxtValueIfFalse") newdataframeName<-subset(existingDataframeName, VarOfInterest=="txtValueOfInterest")