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How to find the count of duplicate rows if they are greater than n in R data frame?
To find the count of duplicate rows if they are greater than n in R data frame, we can follow the below steps −
- First of all, create a data frame.
- Then, count the duplicate rows if they are greater than a certain number using group_by_all, count, and filter function of dplyr package.
Create the data frame
Let's create a data frame as shown below −
x<-rpois(30,1) y<-rpois(30,1) df<-data.frame(x,y) df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x y 1 1 3 2 0 2 3 0 2 4 0 2 5 2 1 6 1 0 7 0 0 8 1 2 9 1 2 10 2 1 11 0 3 12 1 1 13 1 1 14 0 0 15 0 0 16 0 1 17 0 0 18 0 1 19 0 1 20 2 0 21 1 2 22 3 1 23 1 0 24 1 0 25 1 3 26 1 0 27 1 1 28 2 1 29 1 2 30 0 4
Count the duplicate rows if they are greater than a certain number
Loading dplyr package and using group_by_all, count, and filter function to find the count of duplicate rows if they are greater than 2 −
x<-rpois(30,1) y<-rpois(30,1) df<-data.frame(x,y) library(dplyr) df%>%group_by_all()%>%count()%>%filter(n>2)
Output
# A tibble: 7 x 3 # Groups: x, y [7] x y n <int> <int> <int> 1 0 0 4 2 0 1 3 3 0 2 3 4 1 0 4 5 1 1 3 6 1 2 4 7 2 1 3
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