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How to create a table for the number of unique values in list of vectors in R?
To create a table for the number of unique values in list of vectors, we can use mtabulate function of qdapTools package. For example, if we have a list of vectors say LIST that contains some vectors then the table for the number of unique values in the vectors of LIST can be found by using mtabulate(LIST).
Example
Consider the below list −
x1<-rpois(5,2) x2<-rpois(5,5) x3<-rpois(5,2) x4<-rpois(10,5) x5<-rpois(20,5) List1<-list(x1,x2,x3,x4,x5) List1
Output
[[1]] [1] 2 1 1 1 3 [[2]] [1] 5 4 4 2 5 [[3]] [1] 2 1 1 4 1 [[4]] [1] 4 5 7 3 6 7 1 5 4 1 [[5]] [1] 4 3 6 6 6 2 3 9 8 4 4 4 11 3 7 7 5 11 4 6
Loading qdapTools package and finding the table of number of unique values in the vectors of List1 −
Example
library(qdapTools) mtabulate(List1)
Output
1 2 3 4 5 6 7 8 9 11 1 3 1 1 0 0 0 0 0 0 0 2 0 1 0 2 2 0 0 0 0 0 3 3 1 0 1 0 0 0 0 0 0 4 2 0 1 2 2 1 2 0 0 0 5 0 1 3 5 1 4 2 1 1 2
Example
y1<-rpois(20,2) y2<-rpois(20,2) y3<-rpois(20,5) y4<-rpois(20,1) y5<-rpois(20,2) y6<-rpois(20,5) y7<-rpois(20,2) y8<-rpois(20,4) List2<-list(y1,y2,y3,y4,y5,y6,y7,y8) List2
Output
[[1]] [1] 1 4 1 3 3 4 2 1 6 2 4 4 2 1 0 3 1 2 4 1 [[2]] [1] 3 3 3 1 0 0 4 1 2 6 2 3 2 2 2 5 1 5 2 1 [[3]] [1] 7 4 6 4 3 3 7 1 3 9 3 8 3 6 8 3 3 4 4 7 [[4]] [1] 0 0 1 1 1 1 4 4 1 0 1 1 0 2 0 0 0 4 1 1 [[5]] [1] 1 2 2 2 0 1 3 0 3 1 0 0 3 4 4 0 1 2 1 3 [[6]] [1] 4 5 6 5 3 6 6 3 5 5 5 7 5 3 6 2 5 7 4 7 [[7]] [1] 0 1 3 2 2 1 1 4 3 0 2 2 2 5 0 2 2 0 1 2 [[8]] [1] 4 3 3 4 4 6 4 8 4 6 5 2 4 3 4 4 3 0 7 1
Finding the table of number of unique values in the vectors of List2 −
Example
mtabulate(List2)
Output
0 1 2 3 4 5 6 7 8 9 1 1 6 4 3 5 0 1 0 0 0 2 2 4 6 4 1 2 1 0 0 0 3 0 1 0 7 4 0 2 3 2 1 4 7 9 1 0 3 0 0 0 0 0 5 5 5 4 4 2 0 0 0 0 0 6 0 0 1 3 2 7 4 3 0 0 7 4 4 8 2 1 1 0 0 0 0 8 1 1 1 4 8 1 2 1 1 0
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