How to Separate a Dataset in R

Question

I read a csv file into R. There are options like quantity, price, size, and some others. The same product has different size and therefore different prices.

How can I separate the dataset based on size and product so I can use it to build models?

Answer 1

I recommend you install the package dplyr , it has a function called filter which you can use to extract only the rows which meet your desired condition in a data set like this

DF <- filter(DataFrame1,Size=="Large")

and lets say you want to see product = Rum , size = Large and price range = 10 - 40 , your command should look like:

Rums <- filter(DataFrame,product=="Rum" & size=="Large" & price>=10 & price<=40)

Hope it helps!