Joshua R. Polanin & Emily A. Hennessy

July 1, 2015

- Email: joshua.r.polanin@vanderbilt.edu
- Find this presentation: http://rpubs.com/polanin/meta-analysis_rpackages_useR2015

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- Brief overview of meta-analysis software
- Finding meta-analytic R packages (methods)
- Investigating package capabilities (results)
- Conclusions

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- Easy-to-use (i.e., non-progammer) information lacking
- Only one book, and it is not user friendly

- Online information from specific packages

- Traditional online sources fall short
- Stack overflow: 85 (!) results
- R-bloggers: 50 results (most recent: July 2014!)

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**Question***What types of meta-analytic R packages are available and what are their capabilities?*To answer that question:

- Find ALL meta-analysis R packages
- Summarize their capabilities
- Suggest future packages and functions
- Document help for future tutorials

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- Searched multiple online repositories
- CRAN
- CRANtastic
- Revolution R

- Screened packages for inclusion
- “Coded” (i.e., documented information) package capabilities

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- What we coded?
- Name, authors, date created, date updated, pdf location
- Package specificity (i.e., general or specific), package type (i.e., bayesian, genome, general, plotting, etc.), dependencies
- “Traditional” meta-analytic capabilities (effect sizes, fixed or random-effects models, moderator analyses)
- Newer meta-analytic capabilities (power analyses, missing data, handles dependencies, publication biases)
- Main function name
- Other capabilities
- Package downloads

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*N*= 56- All downloadable from CRAN
- Most updated recently
- Very wide range of capabilities and functionality
- Yet to find feature not available in one of these packages
- Package characteristics table

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**Downloads per day (May 2015)**

```
Source: local data frame [2 x 3]
downloads ADD_Mean ADD_SD
1 High 65.00806 22.984007
2 Low 10.29839 5.652116
```

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**Downloads since Oct 2012**

- metafor (ADD = 93.65)
- rmeta (ADD = 50.22)
- epiR (ADD = 49.74)
- meta (ADD = 48.39)

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**Downloads per day (May 2015)**

```
Source: local data frame [2 x 3]
meta ADD_Mean ADD_SD
1 No 4186.50645 795.02563
2 Yes 14.20622 16.14225
```

- Top downloaded packages

```
[1] "Rcpp" "stringr" "stringi" "plyr" "ggplot2"
[6] "magrittr" "colorspace" "scales" "digest" "reshape2"
```

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- Power analyses packages or functions
- Greater plotting capabilities (most use
*metafor*) - Effect size calculations for non-traditional measures
- Documentation!

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- Great capabilities
- Straightforward to use
**if**comfortable with R - Continued documentation and help will increase usage and application

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- Contact
- Joshua R. Polanin, Ph.D.
- Postdoctoral Fellow
- Institute of Education Sciences
- Peabody Research Institute
- Vanderbilt University
- joshua.r.polanin@vanderbilt.edu
- https://sites.google.com/site/joshuarpolanin/home
- https://scholar.google.com/citations?user=CXbmFHcAAAAJ&hl=en

- Contact
- Emily A. Hennessy, M.Phil.
- Peabody Research Institute
- Vanderbilt University
- emily.a.hennessy@vanderbilt.edu