In the video, I’m showing the R programming codes of this tutorial:įurthermore, you might read the related articles of ![]() In other words, our manual optimization using the optim function worked fine.ĭo you need further information on the R programming codes of this article? Then you might have a look at the following video of my YouTube channel. Plot(data$x, # Plotting results of lm functionįigure 1 shows the output of the previous R code: Both the optim and the lm functions returned the same result. Plot (data$x, # Plotting results of lm function Please note that this function and the following R code is partly based on a tutorial that I found here. First, we’ll manually create a function that computes the residual sum of squares. ![]() In this Example, I’ll explain how to use the optim function to minimize the residual sum of squares in the R programming language. The previous output of the RStudio console shows the structure of our example data: It contains two numeric variables x and y.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |