Hello all,
I have an issue where I am generating data and trying to confirm the
estimates using a sem. I keep getting an error about the degree of freedom
being negative "Error in sem.default(ram, S = S, N = N, raw = raw, data =
data, pattern.number = pattern.number, : The model has negative degr
meters.
I tried to use setTimeLimit() but that doesn't seem to help.
I suspect that ksvm() calls c code that does not respond to the time limit.
I don't know what else to try. Should this be considered to be a bug?
Does anyone know a workaround?
best regards,
Immanuel
__
Thanks again, you are perfectly right. I checked and saw I was indeed
polluting my machine with unclosed threads.
On 08/23/2011 01:34 AM, Peter Langfelder wrote:
> On Mon, Aug 22, 2011 at 3:12 PM, Immanuel wrote:
>> Hello,
>>
>> thanks for the input. Below is a small
Hello,
thanks for the input. Below is a small example, simpler then expected :)
I'm just curious why I can't see any output from print(i).
--
library(multicore)
f_long <- function() {
for (i in 1:1){ a=i}
print(i)
return("finished")
}
p_long <- para
ate a will.
Would this be possible? Any pointers in the right direction? A looked
briefly a snow and Rmpi but they seem to serve other needs.
best regards,
Immanuel
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Hello Bert,
thanks for the suggestion. I should have mentioned that, sadly I can NOT
change the
function that does the optimization.
best,
Immanuel
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Hello all,
I'm running a parameter grid optimization ( ksvm, kernlab package) and
the optimizer
seems not to converge for certain parameters and stays in a infinity loop.
Would it be possible to abort the execution after x-seconds and continue
with the next parameter set? Which R function do n
,data = cellLine7064, color = drug, geom = c("line", "point"))
best regards,
Immanuel
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asyer way to that?
I guess what I'm basically looking for is some kind of unit testing
framework to generate test data
for machine learning tasks, I read about the package RUnit but don't
really know how to proceed from
there.
Any ideas?
How do you test your data analysis code?
best re
ot;svm"
>
> For understanding what c does in your case:
>
> c(list(first=1, second=2), list(third=3, fourth=4))
> # compare this with list(list(first=1, second=2), list(third=3, fourth=4))
>
> Kenn
>
> On Tue, May 31, 2011 at 4:43 PM, Immanuel B wrote:
>> Hell
Hello all,
I'm trying to store some objects (class = "svm") , but if I use a list
the objects get somehow converted and I can't retrieve them as objects
of type "svm".
So how to I properly store objects of that kind?
best regards
---
library(e1071)
data(iris)
attach(iris)
## classifica
coefs, can someone explain me what this values are? I understand them
in the 2-class problem
where this is a 1-D vector...
the help only says :
coefs The corresponding coefficients times the training labels.
best regards
Immanuel
[[alternative HTML versi
Hello all,
I would like to use the train function from the caret package to
train a svm with a spectral kernel from the kernlab package. Sadly
a svm with spectral kernel is not among the many methods in caret...
using caret to train svmRadial:
--
library(caret)
library(kernlab)
d
I add an example , all the variables are mutually excluding dummy variables,
notice the different intercept: 5.627 vs 5.545:
survreg:
Value Std. Error zp
(Intercept) 5.6270.00887 634.3 0.00e+00
Var1.recR2 -0.1080.01026 -10.5 1.00e-25
Var1.recR3 -0.4900.01099
icients have a so big
influence on the intercept term?
Thank you
Immanuel
--
View this message in context:
http://r.789695.n4.nabble.com/aftreg-vs-survreg-loglogistic-aft-model-different-intercept-term-tp3059250p3059250.html
Sent from the R help mailing list archiv
ise it should display
wrong<-tclVar('wrong') in red!
To display the variables is no problem, but getting colour into them.
Up to now for me it was only possible to set the colour of the whole label.
Any advice?
Thanks!
Immanuel Seeger
[[altern
rn that the distances between the "o"'s
found is 3 , 2, 4
-
On 11/05/2010 12:28 AM, Charles C. Berry wrote:
> On Thu, 4 Nov 2010, Immanuel wrote:
>
>> Hello all,
>>
>> I want to know how often one character occurs in a given string
>> and
Hello all,
I want to know how often one character occurs in a given string
and the distance from between every two occurences. (distance = other
characters between them).
thanks
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:00) 421.6 421.6 421.5 421.5 261
(06.02.01 02:00:00) 421.3 421.3 421.3 421.3 05
Open High Low Close Up Down
421.2 421.2 421.2 421.2 110
421.2 421.4 421.2 421.4 70
421.6 421.6 421.5 421.5 261
421.3 421.3 421.3 421.3 05
On 10/25/2010 03:47 PM, Gabor Grothendi
Hey,
work's like a charm.
thanks
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and provide commented, minimal, self-contained, reproducible
Hello all,
I'm trying to use zoo.read but can't figure out
how to deal with the time format. (example below)
would be nice if someone could help.
best regards,
Immanuel
---
L <- "Date,Time,Open,High,Low,Close,Up,Down
]
Gesendet: Donnerstag, 26. August 2010 14:56
An: Immanuel Seeger
Cc: r-help@r-project.org
Betreff: Re: [R] equalize function with zero and convert it
On Thu, Aug 26, 2010 at 6:57 AM, Immanuel Seeger
wrote:
> Dear all,
> I want to equalize a symbolic derivative (of a function with two
> variab
o non-symbolic variables it's working with
uniroot(f, c(-10, 10))$root.
Thank you!
Immanuel Seeger
[[alternative HTML version deleted]]
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PLEASE do rea
there is some problem with the initiation/transfer
of the variables from the GUI to the "C:/.../funktion.R"!
Maybe as.numeric(tclObj(...)) is not the right one? But then I don't
understand why it's working in the easier example above.
The error is
üngliche Nachricht-
Von: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Im Auftrag von Immanuel Seeger
Gesendet: Donnerstag, 5. August 2010 11:56
An: r-help@r-project.org
Betreff: [R] Error in as.environment(pos): using 'as.environment(NULL)'
isdefunct
Hello,
Im usi
Hello,
Im using R 2.11.1 with Tinn-R 1.17.2.4.
I hope the given informations are enough (its my first entry here)
The as.environment(pos) error appears in using the following code which
should open a function in an other R-file.
Here some extractions of the code:
HZ<-tclVar(seq(length=a,f
Hey,
saved my day.
Now can watch the football semi-final
thanks
> Turn them into factors with the appropriate levels before counting
> them with table:
>
> # generate an input string n long
> set.seed(123)
> n <- 300
> lets_1 <- paste(sample(letters[1:5], n, replace = TRUE), collapse = "")
> lets_2
ns zero entries
for all the substrings found in table_2 but not in table_1?
best regards
Immanuel
> Try this:
>
> # generate an input string n long
> set.seed(123)
> n <- 300
> lets <- paste(sample(letters[1:5], n, replace = TRUE), collapse = "")
>
> # ge
which methods to work.
I did read through the man pages and goggled a lot, but still don't know
how to
approach this.
best regards,
Immanuel
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