Hi All,
I have a data set of daily measurements of river flow. I would like to
create a "ts" object from this data.
Here's a sample data set:
date <- as.Date(c(1:300), format="%Y")
year=as.numeric(format(date, format = "%Y"))
month=as.numeric(format(date, format = "%m"))
julianday=
Hi All,
I have a data set of daily measurements of river flow.
I would like to create a ts object from this data.
Heres a sample data set:
date <- as.Date(c(1:300), format="%Y")
year=as.numeric(format(date, format = "%Y"))
month=as.numeric(format(date, format = "%m"))
juliand
Hi All,
I'm trying to plot data that is a time series of flows that are associated
with a specific level, and I would like each level to represent a colour
in a line plot. Here is some data that approximates what I'm using:
date=c(1:300)
flow=sin(2*pi/53*c(1:300))
levels=c(rep(c("
33 rows, data has 12
I'm guessing this has something to do with my grouping factor "name", since
there are 12 levels (animals) in this column.
The only help file I could find about this problem suggested that I give all
of my data columns the class "NULL" and then re-run my
Hello All,
I have a problem when I try and run an nlme model with an added correlation
structure on a large dataset. This is not surprising, but I am not sure how
to fix this problem. I am using R 2.6.1, and I have had similar problems in
S-plus.
My dataset is mass growth data from the same 8
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