October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How to do it...
Perform the following steps to apply statistics to a dataset:
- Load the iris data into an R session:
> data(iris)
- Observe the format of the data:
> class(iris)
[1] "data.frame"
- The iris dataset is a DataFrame containing four numeric attributes: petal length, petal width, sepal width, and sepal length. For numeric values, you can perform descriptive statistics, such as mean, sd, var, min, max, median, range, and quantile. These can be applied to any of the four attributes in the dataset:
> mean(iris$Sepal.Length) Output: [1] 5.843333 > sd(iris$Sepal.Length) Output: [1] 0.8280661 > var(iris$Sepal.Length) Output: [1] 0.6856935 > min(iris$Sepal.Length) Output: [1] 4.3 > max(iris$Sepal.Length) Output: [1] 7.9 > median(iris$Sepal.Length) ...
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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.