Hands-On Data Science with Anaconda

Generating R datasets

Here, we show you how to generate an R dataset called iris.RData by using the R save() function:

path<-"http://archive.ics.uci.edu/ml/machine-learning-databases/" 
dataSet<-"iris/bezdekIris.data" 
a<-paste(path,dataSet,sep='') 
.iris<-read.csv(a,header=F) 
colnames(.iris)<-c("sepalLength","sepalWidth","petalLength","petalWidth","Class") 
save(iris,file="c:/temp/iris.RData") 

To upload the function, we use the load() function:

>load("c:/temp/iris.RData") 
> head(.iris) 
  sepalLength sepalWidth petalLength petalWidth       Class 
1         5.1        3.5         1.4        0.2 Iris-setosa 
2         4.9        3.0         1.4        0.2 Iris-setosa 
3         4.7        3.2         1.3        0.2 Iris-setosa 
4         4.6        3.1         1.5        0.2 Iris-setosa 
5         5.0        3.6         1.4        0.2 Iris-setosa 
6         5.4        3.9         1.7        0.4 Iris-setosa 

Note that the extension of ...