r-bio github.io

The R class R programming for biologists

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of data.frame. 03 - data.frame continued. 04 - Even more data.frame. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

OVERVIEW

The site r-bio.github.io presently has a traffic classification of zero (the lower the more traffic). We have crawled nineteen pages within the web page r-bio.github.io and found one website referencing r-bio.github.io.
Pages Parsed
19
Links to this site
1

R-BIO.GITHUB.IO TRAFFIC

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LINKS TO R-BIO.GITHUB.IO

François Michonneau

Biodiversity, Informatics, Sea cucumbers and other marine invertebrates.

WHAT DOES R-BIO.GITHUB.IO LOOK LIKE?

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R-BIO.GITHUB.IO SERVER

We found that the main root page on r-bio.github.io took three thousand nine hundred and fifty-three milliseconds to come up. Our web crawlers could not observe a SSL certificate, so in conclusion our crawlers consider this site not secure.
Load time
3.953 sec
SSL
NOT SECURE
IP
23.235.40.133

FAVICON

SERVER SOFTWARE

We discovered that r-bio.github.io is weilding the GitHub.com operating system.

SITE TITLE

The R class R programming for biologists

DESCRIPTION

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of data.frame. 03 - data.frame continued. 04 - Even more data.frame. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

PARSED CONTENT

The site had the following in the web page, "A course to learn how to develop reproducible and collaborative workflows using R." I observed that the web site stated " 02 - coercion, lists, factors, and a little bit of data." They also stated " 04 - Even more data. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with."

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