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R in Ecology

blog.dominodatalab.com

1–10 of 17 posts

Re: R in Ecology

#2
I was surprised by how little domain-specific info this post has for its title. It's pretty much the same as every other 'using R' post.

At any rate, for those looking to do distance sampling/other ecological work, check out this book: https://github.com/dill/RDistanceBook and this site: http://distancesampling.org/

Re: R in Ecology

#3
Wow, i know nothing about Ecology, but used to be pretty proficient in R. I don't recognize half those libraries. I think R can pretty well be divided into pre and post "Hadley Wickham" eras. It's really a new language.

Re: R in Ecology

#4
As a statistician I believe this article shows the strengths of R

- fast prototyping methods

- easily repeat research with scripts

- data visualization

- huge repository of add-on libraries from many areas of study

Sure R has it setbacks. I wouldn't rely on it for a production environment or a substitute for a higher level programming language. Yet if you want to study data and get results rather quick there is few that could compete in this space.

Re: R in Ecology

#7
This is a guest post from Auriel Fournier, a PhD Candidate with the Arkansas Cooperative Fish and Wildlife Research Unit at the University of Arkansas.

A real life example of what Scott Hanselman calls "a dark matter programmer"...he uses "the chief software architect of the Nebraska division of forestry."

Re: R in Ecology

#8
post #7

This is a guest post from Auriel Fournier, a PhD Candidate with the Arkansas Cooperative Fish and Wildlife Research Unit at the University of Arkansas. A real life example of what Scott Hanselman calls "a dark matter programmer"...he uses "the chief software architect of the Nebraska division of forestry."

For other people like me, who didn't know what this was referring to, I think this is the post brudgers is talking about http://www.hanselman.com/blog/DarkMatterDevelopersTheUnseen9...

Re: R in Ecology

#9
It is very weird to me, why he doesn't use more of tidyr and dplyr. Those are wonderful packages. The whole part of changing types of data frame, would become single call to `mutate` from dplyr package.

There is great blog [0] post explaining working with those tools. What is most important here, is that dplyr and tidyr makes data organization and analysis concise, effecient and readable way.

[0] http://zevross.com/blog/2015/01/13/a-new-data-processing-wor...

Re: R in Ecology

#10
post #8
post #7

This is a guest post from Auriel Fournier, a PhD Candidate with the Arkansas Cooperative Fish and Wildlife Research Unit at the University of Arkansas. A real life example of what Scott Hanselman calls "a dark matter programmer"...he uses "the chief software architect of the Nebraska division of forestry."

For other people like me, who didn't know what this was referring to, I think this is the post brudgers is talking about http://www.hanselman.com/blog/DarkMatterDevelopersTheUnseen9...

Except for the past few weeks, I've listened to all of Hanselman's Hansel Minutes podcasts, started in summer 2014 and got current about a year ago. Interesting content while driving in my opinion.

Anyway, he uses the term fairly regularly as a way of grounding discussions when they drift toward the-newest-shinyest or what-the-cool-kids-use. I think it's a helpful construct when thinking about "what should I use" since the best answer usually isn't React Native.

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