Re: [R] RES: time series interpolation

2011-06-30 Thread tomtomme
I appologize, I should have mentioned that by myself, but was in such a hurry... - I myself would never have found a solution Thanks again! -- View this message in context: http://r.789695.n4.nabble.com/time-series-interpolation-tp3633193p3635733.html Sent from the R help mailing list archive

Re: [R] RES: time series interpolation

2011-06-30 Thread Joshua Ulrich
On Thu, Jun 30, 2011 at 6:10 AM, tomtomme wrote: > Thanks for the hints. Eitherway I´ve found another solution now: > More correctly, I answered the question you cross-posted on StackOverflow: http://stackoverflow.com/questions/6520799/interpolate-time-series-of-multiple-tables > w03_11temp<-read

Re: [R] RES: time series interpolation

2011-06-30 Thread tomtomme
Thanks for the hints. Eitherway I´ve found another solution now: w03_11temp<-read.delim2("w03_11.ASC", fileEncoding="ISO-8859-15", skip = 4) colnames(w03_11temp) <- c("date", "time", "temp") library(zoo) w03_11temp_z <- zoo(w03_11temp$temp, as.POSIXct(paste(w03_11temp$date, w03_11temp$time),

Re: [R] RES: time series interpolation

2011-06-29 Thread David Winsemius
On Jun 29, 2011, at 2:37 PM, Filipe Leme Botelho wrote: Hi Tom, At least to me it´s hard to picture what´s wrong without further details regarding your data. I use spline/linear interpolation of time series regularly, so maybe this example help you out. ci_x [1] 1 4 69 131 194 256

[R] RES: time series interpolation

2011-06-29 Thread Filipe Leme Botelho
Hi Tom, At least to me it´s hard to picture what´s wrong without further details regarding your data. I use spline/linear interpolation of time series regularly, so maybe this example help you out. > ci_x [1] 1 4 69 131 194 256 320 382 > ci_y [1] 0.1211 0.1213 0.1233 0.1241 0.1250 0.1254 0