Hello,
I believe the error is in function 'g'. If I'm right, follow these steps
1. Just before the first if include
flag <- TRUE
2. Just before for(y in ord) include
flag <- FALSE
3. Just before break include
flag <- TRUE
3. Change the return value form simply x to
if(flag) x else NA
The code loops through the ordered matrix until it finds no NAs in the
respective df.list element. Nothing guarantees that there are such list
elements. The changes above check it by setting a flag.
Rui Barradas
Em 05-06-2012 10:54, jeff6868 escreveu:
Thanks again but my errors are still here. Is it maybe coming from the next
fonction (I combinate these 2 functions but I thought it was coming from the
first one):
process.all<- function(df.list, mat){
f<- function(station)
na.fill(df.list[[ station ]], df.list[[ max.cor[station] ]])
g<- function(station){
x<- df.list[[station]]
if(any(is.na(x[1:8700,1]))){
mat[row(mat) == col(mat)]<- -Inf
nas<- which(is.na(x[1:8700,1]))
ord<- order(mat[station, ], decreasing = TRUE)[-c(1,
ncol(mat))]
for(y in ord){
if(all(!is.na(df.list[[y]][1:8700,1][nas]))){
xx<- df.list[[y]][1:8700,1]
new<- data.frame(xx=xx)
x[1:8700,1][nas]<- predict(lm(x[1:8700,1]~xx,
na.action=na.exclude), new)[nas]
break
}
}
}
x
}
n<- length(df.list)
nms<- names(df.list)
max.cor<- sapply(seq.int(n), get.max.cor, corhiver2008capt1)
df.list<- lapply(seq.int(n), f)
df.list<- lapply(seq.int(n), g)
names(df.list)<- nms
df.list
}
refill<- process.all(lst, corhiver2008capt1)
refill<- as.data.frame(refill)
The error is when "refill" is created. It applies "process.all" in which
"na.fill" is also used. Do you see perhaps any error or missing code which
could create this NA problem when I introduce "only NAs" files?
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and provide commented, minimal, self-contained, reproducible code.