Running A Model On Separate Groups Of Data

Kevin Feasel

2016-09-20

R

Simon Jackson shows how to run the same model against separate groups of data in R:

Now that we can separate data for each group(s), we can fit a model to each tibble in data using map() from the purrr package (also tidyverse). We’re going to add the results to our existing tibble using mutate() from the dplyr package (again, tidyverse). Here’s a generic version of our pipe with adjustable parts in caps:

Read the whole thing.  Hat tip, R-Bloggers.

Related Posts

Linear Regression in Power BI

Joseph Yeates shows how to implement linear regression in Power BI: The goal of a simple linear model is to fit a line onto this plot to summarize the shape of the data using the equation above. The “a” value is the slope of the fitted line (rise over run) and the “b” value is […]

Read More

WVPlots

Nina Zumel announces a new version of WVPlots on CRAN: WVPlots was originally a catch-all package of ggplot2 visualizations that we at Win-Vector tended to use repeatedly, and wanted to turn into “one-liners.” A consequence of this is that the older visualizations had our preferred color schemes hard-coded in. More recent additions to the package sometimes had palette […]

Read More

Categories

September 2016
MTWTFSS
« Aug Oct »
 1234
567891011
12131415161718
19202122232425
2627282930