Spring 2020 - STAT 341 D100
Introduction to Statistical Computing and Exploratory Data Analysis - R (2)
Class Number: 3998
Delivery Method: In Person
Introduces the R statistical package. Data management; reading, editing and storing statistical data; data exploration and representation; summarizing data with tables, graphs and other statistical tools; and data simulation. Students with credit for STAT 340 may not take STAT 341 for further credit.
1. What is the R programming environment
- Downloading and installing
- Basics of writing R functions
- Basics of loops/if/while and other control-flow constructs
2. Data management in R
- Reading and writing data: plain text files and spreadsheets, other file formats
- Using R to query databases with SQL
- Merging and re-shaping data
3. Data exploration and representation in R
- Graphical displays. Customizing and extending these displays for your own research purposes.
- Cross-tabulations and tests of association.
4. Data simulation and resampling in R
a. Generating data from parametric distributions: uses in evaluating statistical procedures and in understanding classical large-sample results.
b. Generating data by resampling: introduction to permutation, bootstrapping, cross-validation and their uses.
- Quizzes 10%
- Homework Assignments 10%
- Term Test 30%
- Final Exam 50%
Above grading is subject to change.
Advanced R, Author: Hadley Wickham, Publisher: CRC Press 2015
ggplot2 Elegant Graphics for Data Analysis, 2nd ed., Author: Hadley Wickham, Publisher: Springer 2016
Department Undergraduate Notes:
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