September 2017
Beginner to intermediate
560 pages
25h 18m
English
book
R Data Analysis Cookbook, Second Edition - Second Edition
by Kuntal Ganguly, Davor Lozić, Mzabalazo Z. Ngwenya, Andrew Bauman, Shanthi Viswanathan, Viswa Viswanathan
Content preview from R Data Analysis Cookbook, Second Edition - Second Edition
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How to do it...
To classify using the k-nearest neighbours (kNN) method, follow these steps:
- Load the class and caret packages:
> library(class) > library(caret)
- Read the data:
> vac <- read.csv("vacation-trip-classification.csv")
- Standardize the predictor variables, Income and Family_size:
> vac$Income.z <- scale(vac$Income) > vac$Family_size.z <- scale(vac$Family_size)
- Partition the data. You need three partitions for KNN:
> set.seed(1000) > train.idx <- createDataPartition(vac$Result, p = 0.5, list = FALSE) > train <- vac[train.idx, ] > temp <- vac[-train.idx, ] > val.idx <- createDataPartition(temp$Result, p = 0.5, list = FALSE) > val <- temp[val.idx, ] > test <- temp[-val.idx, ]
- Generate predictions for validation cases ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.