Hi ALL,
I have very simple question regarding pattern matching. Could anyone tell me
how to I can use R to retrieve string pattern from text file. for example
my file contain following information
SpeciesCommon=(Human);SpeciesScientific=(Homo
sapiens);ReactiveCentres=(N,C,C,C,+
H,O,C,C,C,C,O,H);
advance
--
Neeti
Ph.D. Candidate,
Graduate School of Geography
Clark University
Worcester
MA 01610
**
"Happiness is when what you think, what you say, and what you do are
in harmony" - M.K. Gandhi
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R-help@r-project.org ma
Hi all,
I am struggling to understand kernel based method. I am trying to understand
two SVM method (CARET::train and e1071::svm()) I will try to put my
question in following points:
1. About e1071::svm(), on what basis the final model is selected when we
use
cross =10 parameter in svm()
Thank you so much for your reply. In my case it is giving error in some seed
value for example if I set seed value to 357 this gives an error. Does train
have some specific seed range?
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What I have understood in CARET train() method is that train() itself does
the model selection and tune the parameter. (please correct me if I am
wrong). That was my first motivation to select this package and method for
fitting the model. And use the parameter to e1071 svm() method and compare
th
after using options(error=utils::recover) option, following is the output. if
i am correct this means that in ksvm there is some problem, but really could
not understand. could anyone please tell me what is wrong...
any help will be great
thank you so much..
Enter a frame number, or 0 to
Version:
R = 2.11.1
CARET = 4.68
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ht
Hi,
I am trying to construct a svmpoly model using the "caret" package (please
see code below). Using the same data, without changing any setting, I am
just changing the seed value. Sometimes it constructs the model
successfully, and sometimes I get an “Error in indexes[[j]] : subscript out
of bou
think this might help you for start.
http://www.kernel-machines.org/frequently-asked-questions
:)
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thank you so much for your help. if i am not wrong then createDataPartition
can be used to create stratified random splits of a data set.
is there other way to do that?
Thank you
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could anyone help me with my last problem. if the question is not clear
please let me know
thank you
Hi everyone
I am trying to do cross validation (10 fold CV) by using e1071:svm method.
I
know that there is an option (cross) for cross validation but still I
wanted to make a funct
@Francial Giscard LIBENGUE please post your query again so that with
different subject
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_
Hi everyone
I am trying to do cross validation (10 fold CV) by using e1071:svm method. I
know that there is an option (“cross”) for cross validation but still I
wanted to make a function to Generate cross-validation indices using pls:
cvsegments method.
#
Hi to all!
When I use the example from kernlab::ksvm this works fine.. Give me the
result…
> filter <-
> ksvm(type~.,data=spamtrain,kernel="rbfdot",kpar=list(sigma=0.05),C=5,cross=3)
But as soon as I change the type data as follows
> type_train<-spamtrain[,ncol(spamtrain)]
> filter <-
> ks
thank you so much for your suggestion, i will use caret package
is ipred:errorest method is good enough for validating (or cross check) my
svm result?
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Sent from the
hii everyone!!
i have two questions:
1) How to obtain a variable (attribute) importance using e1071:SVM (or other
svm methods)?
2) how to validate the results of svm?
currently i am using the following code to determine the error.
library(ipred)
for(i in 1:20) error.model1[i]<-
errorest(Spec
thank you so much.. but i could not understand which parameter should i use?
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hii all!!!
could anyone tell me how to use libsvm in R.. i am not able to find good way
to use it
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What are the ways by which one can validate the SVM results and its
significance? Are there any papers or articles regarding my question? Please
do let me know.
Thank you.
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hi,
Thanks for this suggestion. svm function in e1071 is working fine.
As I want multi classification, I would like to understand the differences
in these packages and the results (based on the parameter). So that it
would be easy to select the best package for my data.
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It would be nice if you suggest me the steps to check whether svmlight is
present in my system or not?
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Hi !
Right now I am learning to use svm functions available in R and trying to
use these function with given example. I was stuck with svmlight function
which is available in klaR package. Any help would be appreciated regarding
this function.
1. I am unable to use svmlight( ) which is av
Thank you so much... it is working fine
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hii everyone!
Recently i have started working with R and it would be nice if anyone can
help me with this.
I am vista user (32 bit). I wanted to install package in my parent directory
i.e .Library. whenever I try to install nnet (package) it is showing me the
following error:
> install.packag
hii everyone!
Recently i have started working with R and it would be nice if anyone can
help me with this.
I am vista user (32 bit). I wanted to install package in my parent directory
i.e .Library. whenever I try to install nnet (package) it is showing me the
following error:
> install.packages(
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