Welcome! We are making this post today to address a burning question in our minds. And you can help us with! We just expanded our author team for creating exercise sets once more. One of our goals is to deliver content that you really want to practice with and incorporate in your daily R work flow. Our authors also ask us often what kind of topics we want them to deliver. We of course have some ideas ourselves such as:
- Data science workflow in dplyr and tidyr
- Object based programming
- Best practices in coding
- Machine Learning
However this website isn’t about us, its about you and what you want to learn and find at R-Exercises. So has there ever been a search for a problem that you couldn’t find here? We’d like to know! Is there a gap in our content that introduces basic concepts to new users? Let us know if you are struggling with something like this.
R-Exercises exists for you and because of you, any ideas you have we will send to our author team and they can put your thoughts and ideas into direct action. Don’t be afraid to get specific, if you want that exercise set on the logarithmic transformation of a variable or rather a multi part series on a complete customer data analysis work flow, we want to know!
Please share with us your thoughts and ideas in the comments below
We really want to know what you think and if you want you can also email me directly at [email protected] if you find this easier.
your site is great. I think you provide a great way to learn R. I think a ‘get started in Data Analytics’ were you show how to pull in data and basic ways to analyze with the reason why a data scientist would want to analyze it in that way. like this is how to show relationships in the data, or this is how to categorize the data using decision trees or random forests or boosted forests…
I’ll begin with a small, specific request: I’m developing a research study requiring MANCOVA for analysis. I’d like to do an a prior power analysis for the design in R, but the pwr package doesn’t support this. From what I can tell, no package does. So I used g*power instead and am happy enough. But still, I’d like to learn how to do the power analysis in R as well. A tutorial on that would be great. Now for the large, audacious request: tutorials on how to replicate every analysis possible in g*power, along with illustrative worked examples. That’s be a godsend.
Case weighted classification problems.
Reject inferencing in creditscoring (how to – with different machine learning algorythms).
Getting very much required exercises from your site. Your site really helps me a lot to learn R. I look forward to getting basic and intermediate exercises on MySQL and R.
Happy posting and keep post .
Thank you
This is great! I will send thru your topic and others mentioned to our authors.
Great site! I have benefited a lot from it already! I think your suggestions were good. I would really appreciate some exercises in dplyr and tidyr. I have problems finding a good exercise set for joining datasets and tables.
Keep up the good work!
Loving the site and have yet to go through the majority of the exercises. That being said, I was wondering if you guys could create an exercise set aimed at some of the typical problems of data wrangling. A bit of judgement calls on which columns of a data set to tidy up (to spread or gather, unite or separate) maybe a bit of subsetting based on certain conditions, and something like creating a new column based off an old one.