remNANs_spline() should not fail when rows have less than 80% of NANs

[inesphilippart98]

The following code fails when rowSums(indNAN) is always <= N*0.8 because then nanLead is empty and therefore X[-nanLE,] contains no rows and t1 and t2 will be infinite and the function stats::spline() will fail.

Instead the code should work in all cases including when there is no rows full of NaNs.
I don't understand why there is this 80% threshold.

}else if(options$method == 2){ # replace missing values after removing leading and closing zeros
   
   rem1 <- (rowSums(indNaN)>N*0.8)
   nanLead <- which(rem1)
   # nanEnd <- which(rem1[length(rem1):1])
   # nanLE <- c(nanEnd,nanLead)
   nanLE<-nanLead
   X<-X[-nanLE,]
   indNaN=is.na(X)
   for (i in 1:N){  
     x = X[,i]
     isnanx = is.na(x)
     t1 = min(which(!isnanx))
     t2 = max(which(!isnanx))
     
     x1<-stats::spline(x[t1:t2],xout = 1:(t2-t1+1))

[kohei-kawaguchi]

I had the same problem. I think the code should not run X <- X[-nanLE, ] when none of the rows have more than 80% NAs.