SDS/MTH 290 - Spring 2018
Home
Syllabus
Schedule
Resources
Helpful Links
Troubleshooting R Markdown
Lectures
Notes
01 - Intro to Experimental Design
02 - Four Basic Designs
03 - Informal Analysis
04 - Experiment Decisions
05 - Formal ANOVA
06 - BF[1] Design
07 - BF[1] Design in R
08 - Exam 1 Review
Review Questions
09 - BF[2] Design
10 - BF[2] Design (cont.)
11 - CB[1] Design
12 - CB[1] Design (cont.)
13 - SP/RM[1,1] Design
14 - SP/RM[1,1] Design (cont.)
15 - Extending the Basic Designs
16 - Extending the Basic Designs (cont.)
17 - Multiple Comparisons
18 - Fisher Assumptions
19 - Exam 2 Review
Code
02 - Four Designs
03 - Informal Analysis
05 - Formal ANOVA
07 - BF[1] Design in R
09 - BF[2] Design in R
13 - CB[1], Latin Square, SP/RM[1,1] Design in R
15 - Extensions in R
18 - Multiple Comparisons and Assumptions
Homework
Problem Sets
HW1: Record your names on Moodle
HW2: Review Exercises (p. 34-37), 3, 6, 9, 11, 13a, 14, 16, 17
HW3: Review Exercises (p. 57), 1-3, 5, 6 (but using software)
HW4: Ch4: B1-3, C3, D1, RE CH 3: 3-4 (data in fig 3.21), 11-13, 17-19
HW5: Using software; Due 3/23 at 5p
HW6: Cancelled, no homework
HW7: **Ch 7**: A1-A3, A6, B5-B6, C1-C3, C6-C9
HW8: Cancelled, no homework
HW9: Using software-last homework
Project
Project
Instructions
Schedule
Advice
Resources
Smith Moodle
Basic Math Reviewsheet
OpenIntro with Randomization and Simulation
PDF
of the textbook
R packages:
openintro
and
OIdata
Click on “Typos and feedback” to send corrections to the authors
an online
survey
RStudio IDE
Choose one of two options:
Log on to the Smith College
RStudio Server
Download and install
RStudio Desktop
Download and install
R
Learn more about
R Markdown
printable
Reference Guide for R Markdown
RStudio’s
cheatsheets
for:
R Markdown
Data Wrangling with
dplyr
Data Visualization with
ggplot2
Packages you should install:
mosaic
,
mosaicData
,
openintro
,
OIdata
,
knitr
,
markdown
Interactive tutorials via
swirl
and
DataCamp
Using R with the
mosaic
package
the
mosaic
package
Graphics with mosaic
Less Volume, More Creativity
Minimal R
for Intro Stats: one page handout with R commands
mosaic resources
A Student’s Guide to R
Randomization-based inference using the mosaic package
Data Computing
at Macalester
Quantitative Resources on campus
Statistics TAs
are available Sunday through Thursday from 7-9 pm in Burton 301
visit the
Spinelli Center for Quantitative Learning
list of
single-topic workshops
hosted by the Spinelli Center