Hello Petr,
The demo's don't run either, with the same errors.
Thanks for your help.
Best wishes.
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Thank-you Petr.
I have consulted as many manuals and help pages, and search engines, and
trying various things in SIAR, but continuous errors prevail..
I have tried changing all matrices to numeric, but the first column , of the
two latter matrices, returns as NA. Any other suggestions?
I had
Help!
model1 <- siarmcmcdirichletv4(data, source, tef, concdep=0, 50, 5)
Error in matrix(1, ncol = (numsources + numiso) * numgroups, nrow =
(siardata$iterations - :
invalid 'ncol' value (too large or NA)
In addition: Warning message:
In Ops.ordered((numsources + numiso), numgroup
Help!
model1 <- siarmcmcdirichletv4(data, source, tef, concdep=0, 50, 5)
Error in matrix(1, ncol = (numsources + numiso) * numgroups, nrow =
(siardata$iterations - :
invalid 'ncol' value (too large or NA)
In addition: Warning message:
In Ops.ordered((numsources + numiso), numgroups) :
> The data set has 101 values, what can I use instead of letters?
Why do you need to use letters? AFAIK this was only illustration what
could be root of the error message. If the function requires ordered
factor you can use
your.ordered.factor <- ordered(your.unordered.factor)
I do not remem
When you put (fo) what do you mean?
With ordered variable am now getting this error message:
model1 <- siarmcmcdirichletv4(data, source, tef, concdep=0, 50, 5)
Error in matrix(1, ncol = (numsources + numiso) * numgroups, nrow =
(siardata$iterations - :
invalid 'ncol' value (too larg
Hello,
Only answer to one but:
1. I can do a search on any topic over thousands of posts on R easily
and effectively
= www.rseek.org
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Thanks Duncan.
This is a package, SIAR.
> fo <- ordered(f)
> fo
[1] a b c d e
Levels: a < b < c < d < e
> max(fo)
[1] e
Levels: a < b < c < d < e
The data set has 101 values, what can I use instead of letters?
Best wishes,
Alex.
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Hello,
Beginner, sorry if this is wasting anyone's time, but have been working on
this for a couple of days now, think it should have take a few hours!
The Problem:
Error in Summary.factor(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, :
max not meaningful for factors
I have tried to re-ar
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