Ok, thank you Dan!
I was already afraid that I would get this answer. I will solve it by
defining date/time both as a date/time object and as a character object ( in
another column)
Regards,
Sandy
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Hi Dan,
Thank you for your answer. I 'll try to provide some more information:
I have only hourly data that go from 1:00:00 to 24:00:00, no minutes or
seconds. These data represent the average of measured valuesof the previous
hour (so 1:00:00 is the average of 0:00:00 to 1:00:00 data).
I can i
Dear all,
I have dataset which contains date and time in the format
"yearmonthdayhour". I can read in these data correctly as follows:
mydata <- read.csv("pm10_corine_gridcel_hourly_2011.csv", header = TRUE)
mydata$date <- as.POSIXct(strptime(mydata$date, format = "%Y%m%d%H",
tz="UTC"))
However,
Dear R users,
I have used the following model:
M1 <- gls(Nblad ~ Concentration+Season + Concentration:Season, data=DDD,
weights=varIdent(form=~ 1 | Season*Concentration))
to assess the effect of Concentration and Season on nitrogen uptake by
leaves (Nblad). I accounted for the difference in vari
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