code help for Linear regression with bootstrapping in multiply imputed data

[Prakashpdl]

I have to apply Linear regression with bootstrapping in multiply imputed data. Can anybody help me how to do it? I am newbie in R studio. Please help code for

1. Multiple imputation
   then
   2.Liner regression with bootstraping
   then pooling the final result

Thank you

[gueyenono]

Hello @Prakashpdl and welcome to the Posit Community.

I am sure that many people here have the knowledge to help you; however, it would be helpful if you could be a bit more thorough in your question. I highly recommend you take a look at this article to help you better frame your question:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.2…