How to split a data frame in R with conditional row values?

The splitting of data frame is mainly done to compare different parts of that data frame but this splitting is based on some condition and this condition can be row values as well. For example, if we have a data frame df where a column represents categorical data then the splitting based on the categories can be done by using subset function as shown in the below examples.

Example1

Consider the below data frame:

Live Demo

> Country<-rep(c("India","China","Russia","Sudan"),5) > Ratings<-sample(1:5,20,replace=TRUE) > df1<-data.frame(Country,Ratings) > df1

Output

 Country Ratings 1 India   1 2 China   2 3 Russia  5 4 Sudan   3 5 India   5 6 China   5 7 Russia  5 8 Sudan   5 9 India   2 10 China  1 11 Russia 5 12 Sudan  4 13 India  3 14 China  1 15 Russia 1 16 Sudan  2 17 India  3 18 China  4 19 Russia 5 20 Sudan  2

Splitting df1 for groups (India-China, Russia, and Sudan):

Example

> C1<-subset(df1,Country %in% c("India","China")) > C1

Output

  Country Ratings 1 India    1 2 China    2 5 India    5 6 China    5 9 India    2 10 China   1 13 India   3 14 China   1 17 India   3 18 China   4

Example

> C2<-subset(df1,Country %in% c("Russia")) > C2

Output

  Country Ratings 3 Russia    5 7 Russia    5 11 Russia   5 15 Russia   1 19 Russia   5

Example

> C3<-subset(df1,Country %in% c("Sudan")) > C3

Output

 Country Ratings 4 Sudan    3 8 Sudan    5 12 Sudan   4 16 Sudan   2 20 Sudan   2

Example2

Consider the below data frame:

Live Demo

> Season<-sample(c("Summer","Spring","Winter"),20,replace=TRUE) > Rain<-sample(c("Yes","No"),20,replace=TRUE) > df2<-data.frame(Season,Rain) > df2

Output

  Season Rain 1 Spring  Yes 2 Winter  Yes 3 Spring  Yes 4 Spring   No 5 Winter   No 6 Summer   No 7 Summer   No 8 Winter  Yes 9 Winter  Yes 10 Winter Yes 11 Summer Yes 12 Summer Yes 13 Summer Yes 14 Summer  No 15 Winter  No 16 Spring  No 17 Summer Yes 18 Spring Yes 19 Winter  No 20 Winter  No

Splitting df2 for Winter, Summer, and Spring separately:

Example

> S1<-subset(df2,Season %in% c("Winter")) > S1

Output

  Season Rain 2 Winter  Yes 5 Winter   No 8 Winter  Yes 9 Winter  Yes 10 Winter Yes 15 Winter  No 19 Winter  No 20 Winter  No

Example

> S2<-subset(df2,Season %in% c("Summer")) > S2

Output

  Season  Rain 6 Summer   No 7 Summer   No 11 Summer Yes 12 Summer Yes 13 Summer Yes 14 Summer  No 17 Summer Yes

Example

> S3<-subset(df2,Season %in% c("Spring")) > S3

Output

 Season Rain 1 Spring Yes 3 Spring Yes 4 Spring No 16 Spring No 18 Spring Yes