How to create a dyadic matrix from a data frame

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.

edited Jan 3 at 0:47

Julius Vainora

38.2k76685

asked Jan 2 at 4:52

h.mog

add a comment |

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.

edited Jan 3 at 0:47

Julius Vainora

38.2k76685

asked Jan 2 at 4:52

h.mog

add a comment |

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.

edited Jan 3 at 0:47

Julius Vainora

38.2k76685

asked Jan 2 at 4:52

h.mog

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

edited Jan 3 at 0:47

Julius Vainora

38.2k76685

asked Jan 2 at 4:52

h.mog

edited Jan 3 at 0:47

Julius Vainora

38.2k76685

asked Jan 2 at 4:52

h.mog

edited Jan 3 at 0:47

Julius Vainora

38.2k76685

edited Jan 3 at 0:47

Julius Vainora

38.2k76685

edited Jan 3 at 0:47

Julius Vainora

38.2k76685

asked Jan 2 at 4:52

h.mog

asked Jan 2 at 4:52

h.mog

asked Jan 2 at 4:52

h.mog

add a comment |

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