R Workshops

Topics covered

1. Installation of R
2. Basic syntax
3. Data types
4. Object manipulation
5. R Editors

Topics covered

1. Data importation
2. Graphical summaries
3. Numerical summaries
4. Basic hypothesis testing

Topics covered

1. Simple linear regression
2. Transformations in regression
3. Model II regression

Topics covered

1. Multiple linear regression
2. Non-linear regression
3. Polynomial regression

Topics covered

1. Simple Analysis of Variance (ANOVA)
2. Post-hoc (Tukey's) tests
3. Planned contrasts (comparisons)

Topics covered

1. Nested ANOVA
2. Factorial ANOVA

Topics covered

1. Nested ANOVA
2. Randomized Block
3. Repeated Measures
4. Split-plot

Topics covered

1. chi-squared test
2. Contingency analysis
3. Log-linear models
4. Logistic regression

Topics covered

1. Generalized linear models
2. Overdispersion
3. Zero-inflation

Topics covered

1. A
2. B
3. C

Topics covered

1. A
2. B
3. C

Topics covered

1. Reshaping datasets
2. Merging datasets
3. Aggregating datasets
4. Transformations and derivatives
5. Alterations
6. More complex manipulations

1. From the list of precompiled binaries, select 'Linux'
2. R is available in range of pre-compiled binaries for Debian (Ubuntu), Red Hat and SuSE based distributions
3. Quite frankly, if you are a linux user, you do not require instructions!