R Instructions and Analyses | Easy-R Statistics | Page 2 of 2

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EASY-R

Step-by-step instructions on how to use the free statistics program R for absolute beginners, by Biologists Lindsey Gray and Brittany Mitchell.

Download R: https://cran.r-project.org

Recent Posts

1. Quick statistics re-hash before going into R-specific stuff

2. R specific words and definitions you need to learn

3. Downloading R and R packages

4. Preparing data and getting data into R using the Bill length and Egg width practice datasets

5. Two sample t-tests in R with bill length data-set

6. One sample t-test with chick weight data set

7. ANOVA in R with post-hoc pairwise t-tests using egg width dataset

8. Regression in R using the growth dataset

9. Correlation analysis in R using the 'grow' dataframe from the growth dataset

10. Chi-square analysis in R using "below25%line" dataset

11. Calculate mean, standard deviation or standard error in Excel

12. Summarise a large data set in R into mean, SD, and SE using R package "plyr"

Archive

11. Calculate mean, standard deviation or standard error in Excel

11. Calculate mean, standard deviation or standard error in Excel

11. Calculate mean, standard deviation or standard error in Excel

Mean (average) Standard Deviation (SD) and Standard Error (SE) For t-tests and ANOVA, when presenting your data in a report or paper, you...

12. Summarise a large data set in R into mean, SD, and SE using R package "plyr"

12. Summarise a large data set in R into mean, SD, and SE using R package "plyr"

12. Summarise a large data set in R into mean, SD, and SE using R package "plyr"

Summarsing a large dataset You can use the R function “ddply” from package “plyr” to summarise a large data set that has multiple factors...

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