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How to find the number of rows in a data.table where two or more column values meet a criteria in R?
To find the number of rows in a data.table where two or more column values meet a criteria, we can follow the below steps −
- First of all, create a data.table object.
- Find the number of rows meeting a criteria.
Create data.table object
Let’s create a data.table object as shown below −
x<-rpois(20,1) y<-rpois(20,1) z<-rpois(20,1) library(data.table) DT<-data.table(x,y,z) DT
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
Output
x y z 1: 0 1 2 2: 0 0 1 3: 0 2 1 4: 1 3 1 5: 2 1 0 6: 0 1 1 7: 2 1 1 8: 0 0 0 9: 0 1 1 10: 0 1 1 11: 0 2 1 12: 0 0 3 13: 3 1 1 14: 2 0 1 15: 2 1 0 16: 0 1 1 17: 1 0 0 18: 2 0 1 19: 1 0 0 20: 0 1 0
Find the number of rows meeting a criteria
Use Count:=.N to find the number of rows of DT where x=0, y=1, and z=1 −
x<-rpois(20,1) y<-rpois(20,1) z<-rpois(20,1) library(data.table) DT<-data.table(x,y,z) DT[x==0 & y == 1 & z ==1,Count:=.N] DT
Output
x y z Count 1: 0 1 2 NA 2: 0 0 1 NA 3: 0 2 1 NA 4: 1 3 1 NA 5: 2 1 0 NA 6: 0 1 1 4 7: 2 1 1 NA 8: 0 0 0 NA 9: 0 1 1 4 10: 0 1 1 4 11: 0 2 1 NA 12: 0 0 3 NA 13: 3 1 1 NA 14: 2 0 1 NA 15: 2 1 0 NA 16: 0 1 1 4 17: 1 0 0 NA 18: 2 0 1 NA 19: 1 0 0 NA 20: 0 1 0 NA
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