Your question is too vague. What do you know about R? What do you know about KNN? What have you tried so far? You need to teach yourself enough about R to ask a more specific question. To get started, read some of these:
Contributed Documentation (https://cran.r-project.org/other-docs.html) * "Using R for Data Analysis and Graphics - Introduction, Examples and Commentary" by John Maindonald (https://cran.r-project.org/doc/contrib/usingR.pdf) * "R for Beginners" by Emmanuel Paradis (https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf) * "Kickstarting R (version 1.6)" compiled by Jim Lemon (https://cran.r-project.org/doc/contrib/Lemon-kickstart/index.html) Then some of these * Data Mining Algorithms In R/Classification/kNN (https://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R/Classification/kNN) * Machine Learning in R for beginners (https://www.datacamp.com/community/tutorials/machine-learning-in-r) * Best way to learn kNN Algorithm using R Programming (http://www.analyticsvidhya.com/blog/2015/08/learning-concept-knn-algorithms-programming/) ------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77840-4352 -----Original Message----- From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Alnazer Sent: Tuesday, February 23, 2016 2:03 PM To: r-help@r-project.org Subject: [R] KNN How I can use majority guessing function to evaluate KNN, if I have data saved in CSV file Alnazer Elbedairy ______________________________________________ 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-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.
