Data slicing using R programming

Question

I have the following dataset:

ID   age   sugarlevel

123  12      8

456  13      10

789  25      5

...  

I'm trying to use R to split the data depending on the sugar level (>=7, <7)

This should give me 2 groups:

group 1:

ID  age  sugarlevel

123  12     8

456  13      10



group 2:

ID  age  sugarlevel

789  25      5

Answer 1

You can perform data slicing by splitting the dataset by using a grouping variable df1$sugarlevel >=7 

 First <- setNames(split(df1, df1$sugarlevel >=7), paste0('group',1:2))
 First
 #$group1
 # ID age sugarlevel
 #3 789  25          5

 #$group2
 #   ID age sugarlevel
 #1 123  15          8
 #2 456  13         10

Hope this helped!

Comments

Nice question. This code will split the dataset and add them in the same variable.

Access the variable using first$group1.

Thanks, it helped me.