R

If i am able to understand you correctly then you want to make changes into entire data frame,assuming of which i can suggest you to use apply like below, where df is your data frame. You can also use if its for only one vector something like below: Hope this helps

Your code is not entirely reproducible (there’s no running of the actual randomForest algorithm) but you are not replacing Inf values with the means of column vectors. This is because the na.rm = TRUE argument in the call to mean() within your impute.mean function does exactly what it says — removes NA values (and not … Read more

I have the following condensed data set: I would like to sum the columns Var1 and Var2, which I use: In reality my data set is much larger – I would like to sum from Var_1 to Var_n (n can be upto 20). There must be a more efficient way to do this than:

tl;dr you have to use na.exclude() (or whatever) on the whole data frame at once, so that the remaining observations stay matched up across variables … Now try: We get convergence errors and warnings, but I think that’s now because we’re using a tiny made-up data set without enough information in it and not because … Read more

See the documentation on ?merge, which states: This clearly implies that merge will merge data frames based on more than one column. From the final example given in the documentation: This example was meant to demonstrate the use of incomparables, but it illustrates merging using multiple columns as well. You can also specify separate columns … Read more

Thanks for your feedback. I did look up parallel after I posted this question. Finally after a few tries, I got it running. I have added the code below in case it is useful to others Note – I must add a note that if the user allocates too many processes, then user may get … Read more