SDS 291 - Fall 2018
Syllabus
Lectures
Notes
01 - Introduction
02 - Simple Linear Regression
03 - Conditions for Regression
04 - Transformations
05 - Inference
06 - Multiple Regression
Resources
R, RStudio, others
Website Rmd Sources
Index
Syllabus
Resources
Labs
Lab
Intro
Residuals
Transformations
Intervals
Source
Intro
Residuals
Transformations
Intervals
Assignments
Homework
Homework 1
Homework 2
Homework 3
Homework 4
Exams
Project
Resources
Moodle
Textbook
Stat2: Building Models for a World of Data
install the
Stat2Data
package in
R
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
(there are many, they’re handy!).
Packages you should install:
mosaic
,
knitr
,
markdown
Quick R
R Tutorial
Using
R
with the
mosaic
package
the
mosaic
package
A Compendium of Commands to Teach Statistics with R
: a longer illustrated guide to using
mosaic
Nick Horton’s videos
introducing RStudio at Amherst
Interactive tutorials via
swirl
,
DataCamp
Using
R
with the
dplyr
package
Read the vignettes
RStudio’s
cheatsheets
for Data Wrangling with
dplyr
Quantitative Resources on campus
Statistics TAs
are available Sunday through Thursday from 7-9 pm in McConnell 301
visit the
Spinelli Center for Quantitative Learning
Refresher on introductory statistics:
OpenIntro with Randomization
PDF
of the textbook