A series of tutorials in R
These tutorials were produced for the students in CRM 7008. They are meant to amplify and provide further detail on the concepts discussed in lecture, and they assume the student has had some background in statistics (an introductory stats class). This is a work in progress. Expect typos, misspellings and other errors and I will correct these (if you find some, you can submit your comments and suggest changes at the contact menu, see Send a message to Dr. Joe).
Download the tutorials below:
Introduction to R progamming environment, R as a statistical package
| introduction_to_r2.pdf |
Analyzing Data from Distributions: Types of Data, Measures of Central Tendency, Variances, Student's t-test
| hw2.pdf |
ANOVA Analysis of Variance
| anova.pdf |
Using ANOVA, Plotting the Data, and Multiple Comparison Tests in R: an Example from a Coastal Management Research Project
| anova_hw3.pdf |
Repeated Measures ANOVA: An example with the Wysocking Bay Dredging experiment data set
| rm_anova2.pdf |
Statistical Power - What is it?`
| power_2014.pdf |
Regression and Correlation
| regressioncorrelation_feb_11_2014.pdf |
Regression Models: Assessment of Model Adequacy, Multiple Regression
| regression_model_adequacy_2014.pdf |
Stepwise Multiple Regression in R
| chapter_9_multiple_regression_stepwise.pdf |
Multivariate Analysis of Variance (MANOVA)
| manova.pdf |
Multivariate Analysis: Discriminant Function Analysis
| chapter_11_discriminant_function_analysis.pdf |
Multivariate Analysis: Cluster Analysis
| clustering.pdf |
Addition Resources From Open Sources to read while using R
A list of useful commands in R
| listofrcommands.pdf |
Introduction to R
| r-intro.pdf |
Data entry, uploads, and manipulations in R
| r-data.pdf |
A handout on making graphs in R using ggplot2
| handout_ggplot2.pdf |