Re: [R] Mathematical working procedure of imputation methods (medianImpute, knnImpute, and bagImpute) in caret package R
Thanks, I'll check them out. On Wed, Sep 21, 2022, 03:16 Bert Gunter wrote: > R is open source. Look at the code and read it. > Alternatively, look at references for all of this. e.g. on Wikipedia or > via web search. We generally do not provide statistical instruction on this > list. > > Bert > > On Tue, Sep 20, 2022 at 2:20 PM K Purna Prakash > wrote: > >> Dear Sir/Madam, >> Greetings!!! >> >> Kindly provide the detailed internal mathematical working mechanism of the >> following median, KNN, and bagging imputation methods available in caret >> package R. >> >> preProcess(train_data, method = "medianImpute") >> preProcess(train_data, method = "knnnImpute") >> preProcess(train_data method = "bagImpute") >> >> The details provided by you will help me a lot for a better understanding >> of these imputation methods especially while dealing with large sets of >> data. >> >> I will look forward to hearing from you. >> >> Thanks and regards, >> K. Purna Prakash. >> >> [[alternative HTML version deleted]] >> >> __ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Mathematical working procedure of imputation methods (medianImpute, knnImpute, and bagImpute) in caret package R
Dear Sir/Madam, Greetings!!! Kindly provide the detailed internal mathematical working mechanism of the following median, KNN, and bagging imputation methods available in caret package R. preProcess(train_data, method = "medianImpute") preProcess(train_data, method = "knnnImpute") preProcess(train_data method = "bagImpute") The details provided by you will help me a lot for a better understanding of these imputation methods especially while dealing with large sets of data. I will look forward to hearing from you. Thanks and regards, K. Purna Prakash. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Mathematical working procedure of duplicated() function in r
Dear Sir(s), I request you to provide the detailed* internal mathematical working mechanism of the following function *for better understanding. *x[duplicated(x) | duplicated(x, fromLast=TRUE), ]* I am having some confusion in understanding how duplicates are being identified when thousands of records are there. I will look for a positive response. Thank you, K.Purna Prakash. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
