Hi R users,
I'm using the 'bam' function in mgcv to examine trends in a remotely sensed
vegetation index. I have one random effect variable, 'cons' (with six
levels) which identifies different subjects within this analysis.
My model is specified as follows:
rm4<-bam(trend~factor(zone)+s(cons,bs
Thanks Michael! Yeah, that dealt with one of the problems.
I still get the following error message:
Error in cat(list(...), file, sep, fill, labels, append) :
argument 1 (type 'list') cannot be handled by 'cat'
I know that this has something to do with writing the names of the output
file, an
Hi R-users,
I'm trying to produce decompositions of a multiple time-series, grouped by a
factor (called "area"). I'm modifying the code in the STLperArea function of
package ndvits, as this function only plots produces stl plots, it does not
return the underlying data.
I want to extract the tren
Hi,
I’m trying to use the STLperArea function in the ndvits package. I can run
the sample data (“SLPSAs_full”) without any problem. However, when I come to
run the function on my own data, I get the following message.
Waiting to confirm page change...
Error in .checkPath(path) : no TISEAN execu
Hi,
I have two time series of NDVI data, one inside a protected area, and one
outside. I have decomposed the time series, to remove the seasonal component
and residual variation.
I want to compare the long-term trends inside and outside of the protected
area over time. So, at each time step (1 y
Hi,
I already have matched samples, which were matched using different software.
I need to calculate Abadie-Imbens standard errors, together with the average
treatment effect. I know that the Matching package enables me to calculate
these after a Matching procedure, but is there any way to do it o
Hi All,
Sorry if this seems obvious, I'm new to R.
I've run nearest-neighbour matching in MatchIt for three different treatment
groups. By this I mean, I have three separate treatments, each with a
different control group.
I want to combine the MatchIt outputs so that I can estimate treatment
Hi,
I have a irregularly spaced time series dataset, which reads in from a .csv.
I need to convert this to a regularly spaced time series by filling in
missing rows of data with NAs.
So my data, called NtuMot, looks like this (I've removed some of the
additional rows for simplicity)
ELEID
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