Top products from r/Rlanguage
We found 17 product mentions on r/Rlanguage. We ranked the 15 resulting products by number of redditors who mentioned them. Here are the top 20.
1. R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))
Sentiment score: 1
Number of reviews: 2
O Reilly Media
3. On Writing Well, 30th Anniversary Edition: The Classic Guide to Writing Nonfiction
Sentiment score: 0
Number of reviews: 1
HarperCollins Publishers
4. Real Stats: Using Econometrics for Political Science and Public Policy
Sentiment score: 1
Number of reviews: 1
5. An Introduction to R for Spatial Analysis and Mapping
Sentiment score: 0
Number of reviews: 1
Sage Publications Ltd
6. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Sentiment score: 1
Number of reviews: 1
O'Reilly Media
7. Analyzing Baseball Data with R (Chapman & Hall/CRC The R Series)
Sentiment score: 1
Number of reviews: 1
CRC Press
9. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Sentiment score: 1
Number of reviews: 1
10. The Art of R Programming: A Tour of Statistical Software Design
Sentiment score: 1
Number of reviews: 1
No Starch Press
11. Python Crash Course: A Hands-On, Project-Based Introduction to Programming
Sentiment score: 1
Number of reviews: 1
No Starch Press
12. R in Action: Data Analysis and Graphics with R
Sentiment score: 0
Number of reviews: 1
13. Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition
Sentiment score: 1
Number of reviews: 1
I'm in a similar boat as you. I'm a biologist by trade, but want to delve deeper into statistical analysis with R programming to add a new skill to my career. I'm also a huge baseball fan, especially love it for the stats.
A friend of mine gave me this book for a birthday gift and I've been working way my through it, albeit very slowly. So far (I'm only at Chapter 3), it's been easy to follow and a nice to guide through R. I'd suggest it.
The edx course, that /u/sin7 suggested sounds interesting as well.
https://www.amazon.com/gp/aw/d/0199981949/ref=mp_s_a_1_1?ie=UTF8&qid=1482241947&sr=8-1&pi=SY200_QL40&keywords=real+stats+bailey&dpPl=1&dpID=41CMlOs8S8L&ref=plSrch
Here is the book on Amazon. Like I said, it is for my field, but I love it.
Not specific to R users, but I would highly recommend Python Crash Course It doesn't teach you everything, but it teaches you the basics and gives you plenty of exercises to do some hands-on learning.
I would also recommend snakify. It'll reinforce the stuff you learned from Crash Course, and it'll introduce you to sets. Be careful though. Some of the lessons are poorly worded (I think the guy is Russian originally). I had to look up videos on YouTube to get better explanations of the concepts before I could complete the exercises. Also, some of his code examples are pretty dense, which can get confusing for someone new to the language.
I have this: Machine Learning with R - Second Edition https://www.amazon.com/dp/1784393908/ref=cm_sw_r_cp_api_7TMEybJSEQZED
I reference it often. Basic explanations plus use cases. Includes example code and data sources to get you going.
Not in depth from a math/stat perspective but a great starting point.
I was advised to start with basic R and after move to tidyverse and I think it was a good advice. For basic R I recommend https://www.amazon.com/Art-Programming-Statistical-Software-Design/dp/1593273843 , book is little old but I really like it.
It sounds like you're looking for time series material, but Applied Predictive Modeling may be of interest to you. For time series and R specifically, this text seems well-reviewed.
If you need to make an argument for the application of a data science tool, I recommend to read Data Science for Business. The book does not focus on R (or any other tool/language), but makes a compelling case for the value of data science, that aims at establishing an understanding for people not concerned with the technicalities of data science.
www.r-bloggers.com is my favourite site, if I'm ever looking for a how-to guide I will click their links first.
The only book I have bought on R is R In A Nutshell, but I didn't find it very useful.
I started by working through Python for Data Analysis.
There are also some free things online, including (but not limited to):
Think Python
Python Data Science Handbook
Computational and Inferential Thinking
How to Learn Pandas
Advanced NumPy Techniques
I'd recommend reading R in a nutshell.
I just bought R in Action on Amazon. Seems to come well-regarded!
Edit: Also ordered R for Spatial Analysis and Mapping.
No problem. If you're writing in Turkish, I don't know how to help. However, for English writing, I've found the following book to be a useful one: https://www.amazon.com/Writing-Well-Classic-Guide-Nonfiction/dp/0060891548
Do you prefere english literature? Otherwise there is a german book by Rainer Schlittgen that is meant for people with some knowledge in R.
This book is all you will need.
https://www.amazon.com/Applied-Predictive-Modeling-Max-Kuhn/dp/1461468485/ref=nodl_
This is the one I ended up going with https://www.amazon.com/Machine-Learning-Using-Karthik-Ramasubramanian/dp/1484223330/ref=sr_1_40?ie=UTF8&qid=1484434011&sr=8-40&keywords=Learning+R
Unfortunately I still need a book that teaches R as the Language.