**DIRECTORY**

## Statistical Tests

**R and Rstudio**

**R and Rstudio**

**Added: 05/11/2017**

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. You can download and install R for free here.

Though R is self-sufficient, some prefer to use Rstudio along with R. Rstudio is a "quality of life" addition that provides a more user-friendly user interface a lot of users find helpful. You can download Rstudio for free here.

**Ecoengine, R package for VertNet **

**Added: 11/15/2017**

Doing historical museum work sometimes require us to go through VertNet to look for specimens in collections. You can now use the package ecoengine by UC Berkeley to extract the data.

You can download the code we use here

**Clopper-Pearson Binomial Confidence Interval to Calculate Error Bars for Prevalence Data **

**Added: 05/11/2017**

- Basics of Clopper-Pearson Binomial Confidence Interval
- Manual for the R package "binom"
- You can download the code we use here

**Power Analysis for Likelihood of Detecting no Bd**

**Added: 10/10/2017**

**Bayesian Modeling for ***Bd* Invasion Year Estimate

*Bd*Invasion Year Estimate

**Added: 05/11/2017**

- Manual for the R package "rJags" to run the iterations
- Basics of MCMC Bayesian graphical models by Oxford University
- An example of how the analysis was used in De Léon, Piovia-Scott, & Vredenburg, 2017
- You can download the code we use here

**GLM and Zero-inflated GLM for Environmental and Climate Data with Stepwise Regression**

**Added: 05/11/2017**

- Beginner-friendly introduction to GLM by Colorado University
- Manual for the R package "pscl" used for zero-inflated GLM
- Comparing GLM to Zero-inflated GLM by UCLA
- Interpreting the output of GLM