error with zoo package, data too long?
Question
I want to generate a new column with a running mean of a specified bin width and for that I used the zoo package (rollmean function). My datasheet consists of 1 million rows, and the function applies to the first 500,000, after that it is all NAs produced, any ideas what I may be doing wrong?
library("zoo")
HB<-bin/2
n<-length(dataraw$S)
data<-dataraw[HB:(n-HB),]
sax<- rollmean (dataraw$S, bin)
data2<-cbind(data,sax)
I would aappreciate any help you could give me, I've been stuck with this for far too long. Thanks in advance.
Solution
You almost surely have a NA in there which then propagates through rollmean()
. A million values by itself does not create trouble as this little experiment shows:
R> library(zoo)
R> X <- zoo(rnorm(1e6), order.by=Sys.time()+seq(1,1e6)*1e-3)
R> Xrm <- rollmean(X, 63)
R> summary(cbind(X, Xrm))
Index X Xrm
Min. :2012-04-11 13:57:28.9 Min. :-5.1857 Min. :-0.5843
1st Qu.:2012-04-11 14:01:38.9 1st Qu.:-0.6741 1st Qu.:-0.0866
Median :2012-04-11 14:05:48.9 Median :-0.0011 Median :-0.0013
Mean :2012-04-11 14:05:48.9 Mean :-0.0011 Mean :-0.0011
3rd Qu.:2012-04-11 14:09:58.9 3rd Qu.: 0.6727 3rd Qu.: 0.0838
Max. :2012-04-11 14:14:08.9 Max. : 4.8914 Max. : 0.5874
NA's :62
R>
The only NAs here are due to the introduction of the initial lag at the beginning.
But when I introduce a single NA in X, all hell breaks loose:
R> X[567890] <- NA
R> summary(cbind(X, rollmean(X, 63)))
Index X rollmean(X, 63)
Min. :2012-04-11 13:57:28.9 Min. :-5.18574 Min. :-1
1st Qu.:2012-04-11 14:01:38.9 1st Qu.:-0.67413 1st Qu.: 0
Median :2012-04-11 14:05:48.9 Median :-0.00110 Median : 0
Mean :2012-04-11 14:05:48.9 Mean :-0.00109 Mean : 0
3rd Qu.:2012-04-11 14:09:58.9 3rd Qu.: 0.67268 3rd Qu.: 0
Max. :2012-04-11 14:14:08.9 Max. : 4.89137 Max. : 1
NA's :1 NA's :432173
R>
and I end up with 432k trailing NAs.