Classification crosswalks are easy to make, and can help you reduce cardinality in categorical variables, making for insightful data science portfolio projects with only descriptive statistics. Read my blog post for guidance!
Tag Archives: data-driven decision
17
Aug
Aug
R for logistic regression in health data analytics is a reasonable choice, if you know what packages to use. You don’t have to use SAS! My blog post provides you example R code and a tutorial!
12
Oct
Oct
The paste command in R is used to concatenate strings. You can leverage the paste command to make refreshable label objects for reports and plots, as I describe in my blog post.
11
Oct
Oct
Adding error bars to ggplot2 in R plots is easiest if you include the width of the error bar as a variable in your plot data. Read my blog post to see an example.
08
Apr
Apr
Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.
