CODEWITHSUNDEEP
rcorrelation
hyat
hyat

Reputation: 1057

How to add condition to calculate the temporal correlation for huge data?

I want to calculate the correlation between two datasets with a condition from another data.I want the top 50% of P, this corresponds to the values of P greater than the median.

      P=c(1,6,5,6,2,8,5)
      sf=c(1,2,6,6,4,5,5)
      Pf=c(1,6,5,8,4,8,5)

normal corr:

     cor(sf,Pf)

with condition:

      cor(sf[P > median(P)], Pf[P > median(P)])

this worked perfectly.How Can I apply the same thing with my real data?

  with condition(using dir3(p is dir3 here)):

              ???

Thanks in advance

Upvotes: 0

Views: 234

Answers (1)

Vincent Zoonekynd
Vincent Zoonekynd

Reputation: 32361

Exactly the same code should work: 

function(x){cor(x[,1],x[,2])}

can be written as 

function(x) { 
  P  <- x[,3]
  sf <- x[,1]
  Pf <- x[,2]
  cor(sf, Pf)
}

which becomes

function(x) { 
  P  <- x[,3]
  sf <- x[,1]
  Pf <- x[,2]
  i <- P > median(P)
  cor(sf[i], Pf[i])
}

Upvotes: 1

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