Reddit Reddit reviews R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)

We found 7 Reddit comments about R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks). Here are the top ones, ranked by their Reddit score.

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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)
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7 Reddit comments about R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks):

u/I_am_not_at_work · 19 pointsr/bioinformatics
  1. Download RStudio
  2. Try online tutorials like this, this, here, and this pdf.
  3. R can produce amazingly ugly or beautiful graphs. ggplot2 is my favorite and these books 1,2,3 will give you solid foundation on how to use it.
  4. Are you just interested in RNAseq or ChIPseq? Are you running the entire bioinformatic pipeline from QC through to RPKM/counts generation? This blog post can give you a decent idea on a basic workflow for differential gene expression analysis. Most of that is R and unix based tools. But there is also a lot else out there that you can google and then learn from.
  5. Keep in mind that any error message that you can't figure out has already happened to many other people. A google search will find you a stack overflow or biostars post asking how to solve whatever problem you have encounter. So don't be discourage when you can't figure out something.
u/Rylick · 4 pointsr/de

So doof es klingt: einfach machen. Learning by doing ist die beste Art und Weise R zu lernen. Am Anfang ist es recht schwer, am Ende dann aber wesentlich einfacher und schneller als Point&Klick Programme wie SPSS.
Ich finde das R Cookbook ganz gut um ein Nachschlagewerk zu haben. http://www.amazon.de/Cookbook-OReilly-Cookbooks-Paul-Teetor/dp/0596809158

u/Wegener · 3 pointsr/algotrading

Right now I'm reading The Art of R Programming. It seems like it has a lot of good knowledge but also seems really disorganized. The author uses control statements without explanation in the 2nd chapter about vectors to demonstrate their ability, and then doesn't get back to control statements until chapter 7. But being a seasoned programmer I don't think things like that will bother you too much. This is the only R book I've used, so my opinion isn't very broad based. The reviews for R Cookbook seem pretty good and I'm a little sorry I didn't start with that instead.

Hopefully someone else can chime in.

u/[deleted] · 3 pointsr/statistics

To add to this, I too had a lower GPA except from a school that isn't prestigious. I am currently a master's student at a medium to low ranked (but in my opinion, under appreciated) graduate school and got full funding without a problem.

I do advise learning R prior to applying. If you know other programming languages, R is really easy to pick up. Read this and try to work your way through it. I haven't read it but it looked like a good book, is R Cookbook.

u/Illithilitch · 2 pointsr/RStudio

From my coursework, I found these resources helpful:

http://www-bcf.usc.edu/~gareth/ISL/

https://www.amazon.com/Art-Programming-Statistical-Software-Design/dp/1593273843/ref=sr_1_3?ie=UTF8&qid=1527726606&sr=8-3&keywords=programming+with+R

https://www.amazon.com/Cookbook-Analysis-Statistics-Graphics-Cookbooks/dp/0596809158/ref=sr_1_9?ie=UTF8&qid=1527726606&sr=8-9&keywords=programming+with+R

https://www.amazon.com/Mastering-RStudio-Develop-Communicate-Collaborate-ebook/dp/B0123RVFZG/ref=sr_1_1_sspa?s=books&ie=UTF8&qid=1527726659&sr=1-1-spons&keywords=Rstudio&psc=1

u/brews · 2 pointsr/statistics

As you already have programming experience I strongly recommend you try "The Art of R Programming" sooner or later. The majority of other books discuss R from a statistical aspect. This book, however, approaches it as a programming language. One of the few R books I own ("R graphics" and "ggplot2" might be others, but that's a bit advanced.)

This site is a great resource for all those simple little R-isms that I forget from time to time. "The R Cookbook" is another resource, much like the above, but with a bit more meat.

There are LOADS of other resources out there. If you ever have a question, just google it + "R stats" and you'll usually find what you need.

You might also want to subscript to "R Bloggers", it's a planet with loads of sources. It's inspiring and educational to see all the things people put R to use for.

u/DrewEugene17 · 2 pointsr/italy