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18.05 | Spring 2014 | Undergraduate

# Introduction to Probability and Statistics

#### R and RStudio

Home of the R project,
Get RStudio here.

#### Tutorials

Tutorial 1A
Tutorial 1B
Tutorial rle()
Tutorial for loops
R code that shows how to do basic plotting (short)

#### Studios

This section holds all the posted studio materials plus some extra files used for preparation or analysis.

(extra code to make plots)
No studio 7
studio9-prep.r
No studio 10

#### Other R Code

colMatches.r
oldfaithful_simple.r • oldfaithful data (This a standard R data set.)
sensorsim.r • runsensorsim.r (Simulates a network of sensors.)

#### R code used for reading and slides

Studio 3 solutions
Class 6 prep
Class 6 slides
Class 7 prep
Class 14 prep
Class 16 prep
Class 18 experiment
Class 19 prep
Class 19 slides
Class 20 prep
Class 21
Class 23 prep
Class 24 prep
Class 24 slides
Class 25 prep
Class 25 slides

#### Problem sets

(Code used to produce graphs do computations numbers for problem sets and their solutions.)
ps1.r
ps2.r
ps3.r
ps3-sol.r (posted with pset solutions)
ps3prob2data.r (needed to do pset)
ps6.r
ps6-post.r (posted with pset solutions)
ps7.r
ps8.r
ps9.r

## Course Info

##### Instructors

- Dr. Jeremy Orloff
- Jonathan Bloom

##### Departments

- Mathematics

##### As Taught In

Spring 2014

##### Level

Undergraduate

##### Topics

- Mathematics
  - Discrete Mathematics
  - Probability and Statistics

##### Learning Resource Types

assignment_turned_in Problem Sets with Solutions
grading Exams with Solutions
notes Lecture Notes
co_present Instructor Insights
theaters Other Video

Browse Resources

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