问带条件距离的平均xy点

EN

pairs <- which(as.matrix(y) > 140 & upper.tri(as.matrix(y)), arr.ind = T)
result <- apply(pairs,1,function(i) apply(qq[i,],2,mean))

#optionally, I think this is the form you will want it in.
result <- data.frame(t(result))

qq <- qq[-unique(c(pairs)),]
qq <- rbind(qq,result)

# Search pairs less than threshold
pairs <- which(as.matrix(dist(qq)) < 80 & upper.tri(as.matrix(dist(qq))), arr.ind = T)

# Get the row numbers for subsetting the original matrix 
indx=unique(c(pairs[,1],pairs[,2]))

# Get result dataframe
out = data.frame(rbind(qq[-indx,],t(apply(pairs,1,function(i) apply(qq[i,],2,mean)))),row.names=NULL)

dim(out)
[1] 4 2

out
        X       Y
1 4237.50 4411.50
2 4204.00 4487.50
3 4354.25 4431.25
4 4332.50 4479.75

distance_fix = function(dataframe,threshold){


  mydist = as.matrix(dist(dataframe))

  # Which pairs in the upper triangle are below threshold 
  pairs <- which(mydist < threshold & upper.tri(mydist), arr.ind = T)

  # Get the row numbers for subsetting the original matrix 
  indx=unique(c(pairs))

  # Get result dataframe
  out = data.frame(rbind(dataframe[-indx,],t(apply(pairs,1,function(i) apply(dataframe[i,],2,mean)))),row.names=NULL)

 return(out) 
}