R: A Language and Environment for Statistical Computing, R Core Team, R Foundation for Statistical Computing, Vienna, Austria, 2013, http://www.R-project.org/
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## Methods | |
### Trial design | |
Changes to trial design | |
### Participants | |
Study settings | |
### Interventions | |
### Outcomes |
As partially described in previous sections, we followed a reproducible research protocol along the lines previously described by our group (Vissoci, 2013). Briefly, all data sets, scripts, templates, software and workflows generated under this project were deposited under the public repositories Github and figshare. For access to the specific data for this project please refer to
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digraph foo { | |
//rankdir=LR; | |
//overlap = scale | |
//splines = TRUE | |
//subgraph design { | |
// rank = same; qualitative; quantitative; | |
//} |
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--- | |
title : | |
subtitle : | |
author : | |
job : | |
framework : io2012 # {deckjs, shower, dzslides, landslide, html5slides, ...} | |
highlighter : highlight.js # {highlight.js, prettify, highlight} | |
hitheme : tomorrow # | |
widgets : [] # {mathjax, quiz, bootstrap} | |
mode : standalone # {, draft, selfcontained} |
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#------------------------------------------------------------------------------ |
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address <- c("whatever, [email protected]", "nothing here","right, [email protected]", "blablabla [email protected]") | |
emailpattern <- '[[:alnum:]\\-_.%+]+@[[:alnum:]\\-_.%+]+\\.[[:alpha:]]+' | |
email_addresses <- str_extract_all(string = address, emailpattern) | |
email_addresses |