Linear Regression loop for each independent variable individually against dependent

by

This will do it for you.

lapply( mtcars[,-1], function(x) summary(lm(mtcars$mpg ~ x)) )

A data.frame object is a list with some other features so this will go through each column of mtcars excluding the first one and perform the regressions. If you save the resulting list in something like L then you can access each one easily by just using the same name or number as the column in the original data.frame. So L$cyl gives the regression summary for mpg on cyl.

More Related Contents:

  1. In R, how to turn characters (grades) into a number and put in a separate column
  2. How to find the statistical mode?
  3. Workflow for statistical analysis and report writing
  4. How to make execution pause, sleep, wait for X seconds in R?
  5. R tick data : merging date and time into a single object
  6. Why am I getting “algorithm did not converge” and “fitted prob numerically 0 or 1” warnings with glm?
  7. Function to calculate R2 (R-squared) in R
  8. Changing whisker definition in geom_boxplot
  9. Geometric Mean: is there a built-in?
  10. Using cbind on an arbitrarily long list of objects
  11. Plotting a 3D surface plot with contour map overlay, using R
  12. How to generate distributions given, mean, SD, skew and kurtosis in R?
  13. Exact number of bins in Histogram in R
  14. Interpretation of ordered and non-ordered factors, vs. numerical predictors in model summary
  15. Standard Deviation in R Seems to be Returning the Wrong Answer – Am I Doing Something Wrong?
  16. Stepwise regression using p-values to drop variables with nonsignificant p-values
  17. predict.lm() in a loop. warning: prediction from a rank-deficient fit may be misleading
  18. Add error bars to show standard deviation on a plot in R
  19. Calculating percentile of dataset column
  20. How to shade a region under a curve using ggplot2
  21. Efficient calculation of matrix cumulative standard deviation in r
  22. How to use the ‘sweep’ function
  23. R optimization with equality and inequality constraints
  24. What does the period mean when used with ~ (in a formula)?
  25. Plot with conditional colors based on values in R [duplicate]
  26. Get row and column indices of matches using `which()`
  27. “Set Difference” between two vectors with duplicate values
  28. Convert a vector into a list, each element in the vector as an element in the list
  29. How to programmatically extract / unzip a .7z (7-zip) file with R
  30. Shiny Dashboard – display a dedicated “loading..” page until initial loading of the data is done

Leave a Comment