R Project files

Please download the part8 sub-folder from this dropbox link. Be sure to unzip if necessary. Knit the part8.Rmd to install any required packages.

Class Video

View last year’s class and materials here.

Muddiest Points

I am confused on where and how nested data frames are used.

I’m still a little unclear on how to write functions to use with map on df after group_nest. The explanation was clear, I think I just need to try it myself to get the hang of it! I start to lose track of which column/variable goes where and contains what.

I think I need a lot more time to process “map” because it feels like a very big and powerful tool…but maybe too big to wrap my head around?

Yeah, map() and nest() really need more than a couple classes to work through, I think. I believe it’s very important to learn tools like this because it using functions and iteration is truly when you start “programming with R (and that’s the name of the class!). But I think this will take some practice. I wish we had more time to practice!

Definitely take advantage of all the resources out there to learn more if you are interested.

The function section of the lecture and the use of Purrr

I have a hard time following along with the functions during class

I’m happy to go over any of the functions again if you would like. Just let me know which are the most confusing and I can go over them again more slowly in the last class!

Clearest points

The first half of this class felt great because it was adding onto knowledge I already had re: biostats. So it was easy to understand how to apply that knowledge in R.

Stats! Clear explanation of regression code

Great, I hope the next couple classes are useful to learn more about statistical modeling in R. It’s a wide world out there, so we can only briefly touch on various examples, but I hope it’s enough to get you started.

I like the group_split() function!

The class-specific versions of map

creating functions and lists

The ggplot section.

Super!

Other messages

I had never heard of geom_errorbar() but I like it! I have tried to add error bars manually and it was a headache…

I really appreciate the walk-throughs of how to build a function (start with a specific input, then generalize), how to use map, etc. I also loved that you included the gtsummary and scales::pvalue summary, and the geom_errorbar forest plot! It’s all super useful stuff that I’ve been wishing I knew how to do but didn’t really know how to look up!

This is good to hear, because I can’t really show you in detail how to build a million and one statistical models, but I can show you the tools that I use the most often. Hopefully it’s enough to make statistical analysis a bit easier.

I really like the cute pun of ‘nested’ penguins.

=)