How to create a dyadic matrix from a data frame












0















My input is like this 



individual_id         <- c(1:5)

individual_age        <- c(23,22,24,21,18)

individual_test       <-data.frame(cbind(individual_id,individual_age))

class(individual_test)

dyadic_individual_age <-array(0,c(5,5))


And this is the way I made matrix simply by for loop. 



for (i in 1:5){

 for (j in 1:5) 

{dyadic_individual_age[i,j]=abs(individual_test$individual_age[i] -individual_test$individual_age[j])

  }

}


But I know this structure is not efficient in large-scale problems. Please advise what to do.






r matrix social-networking







share|improve this question





























    0















    My input is like this 



    individual_id         <- c(1:5)
    
individual_age        <- c(23,22,24,21,18)
    
individual_test       <-data.frame(cbind(individual_id,individual_age))
    
class(individual_test)
    
dyadic_individual_age <-array(0,c(5,5))


    And this is the way I made matrix simply by for loop. 



    for (i in 1:5){
    
 for (j in 1:5) 
    
{dyadic_individual_age[i,j]=abs(individual_test$individual_age[i] -individual_test$individual_age[j])
    
  }
    
}


    But I know this structure is not efficient in large-scale problems. Please advise what to do.






    r matrix social-networking







    share|improve this question



























      0












      0








      0








      My input is like this 



      individual_id         <- c(1:5)
      
individual_age        <- c(23,22,24,21,18)
      
individual_test       <-data.frame(cbind(individual_id,individual_age))
      
class(individual_test)
      
dyadic_individual_age <-array(0,c(5,5))


      And this is the way I made matrix simply by for loop. 



      for (i in 1:5){
      
 for (j in 1:5) 
      
{dyadic_individual_age[i,j]=abs(individual_test$individual_age[i] -individual_test$individual_age[j])
      
  }
      
}


      But I know this structure is not efficient in large-scale problems. Please advise what to do.






      r matrix social-networking







      share|improve this question
















      My input is like this 



      individual_id         <- c(1:5)
      
individual_age        <- c(23,22,24,21,18)
      
individual_test       <-data.frame(cbind(individual_id,individual_age))
      
class(individual_test)
      
dyadic_individual_age <-array(0,c(5,5))


      And this is the way I made matrix simply by for loop. 



      for (i in 1:5){
      
 for (j in 1:5) 
      
{dyadic_individual_age[i,j]=abs(individual_test$individual_age[i] -individual_test$individual_age[j])
      
  }
      
}


      But I know this structure is not efficient in large-scale problems. Please advise what to do.






      r matrix social-networking




      r matrix social-networking






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Jan 3 at 0:47









      Julius Vainora

      38.2k76685




      38.2k76685










      asked Jan 2 at 4:52









      h.mogh.mog

      11




      11
























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