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
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),
On Thu, Jun 30, 2011 at 6:10 AM, tomtomme langk...@tomblog.de 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
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
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
5 matches
Mail list logo