similar to: svm regression in R

> > So i guess from your prev. email the svmModel$coefs correspond to the > "Alpha" . yes (times the sign of y!). > > Why do I see three columns in the coefs?( Is this the number of classes -1 > = Numbe of hyperplanes) yes, but in a packed format which is not trivial. I attach some explanation I sent to R-help some time ago (the guy wanted to write his own

We are using dbox with lz4 compression and dovecot-lda + sieve for delivery. Mail recieved: Mar 16 06:27:55 mail2 dovecot: lda(svs at example.com): sieve: msgid=<20160316032754.4C89D2C4 at rdbms.oldstable.office.example.com>: stored mail into mailbox 'INBOX' Around 08:14:00 user start his thunderbird with local filters. He found one mail without headers. Around that time user do

I am trying to run a scientific command line program (Dragon for the calculation of chemical properties) under Wine. Unfortunately some parameters are calculated differently when the program is executed under Windows XP and Wine, although the executable and the input files are the same. The results are the same with different Wine versions (wine-1.0 Ubuntu Hardy wine-0.9.25 Debian Etch, unknown

I want to estimate the following fixed effect model: y_i,t = alpha_i + beta_1 x1_t + beta_2 x2_i,tx2_i,t = gamma_i + gamma_1 x1_t + gamma_2 Z1_i + gamma_3 Z2_i I can use ivreg from AER to do the iv regression. fm <- ivreg(y_i,t ~ x1_t + x2_i,t | x1_t + Z1_i + Z2_i, data = DataSet) But, I'm not sure how can I add the fixed effects. Thanks! [[alternative HTML

Dear Sir/Madam, I apologize for any cross-posting. I got a simple question, which I thought the R list may help me to find an answer. Suppose we have Y_1, Y_2, ., Y_n ~ Poisson (Lambda_i) and Lambda_i ~Gamma(alpha_i, beta_i). Empirical Bayes Estimator for hyper-parameters of the gamma distr, i.e. (alpha_t, beta_t) are needed. y=c(12,5,17,14) n=4 What about a Hierarchal B ayes

Dear R users, I am trying to fit the following ANCOVA model in R2.4.0 Y_ij=mu+alpha_i+beta*(X_ij-X..)+epsilon_ij Particularly I am interested in obtaining estimates for mu, and the effects alpha_i I have this data (from the book Applied Linear Statistical Models by Neter et al (1996), page 1020) y<-c(38,43,24,39,38,32,36,38,31,45,27,21,33,34,28)

Dear R-community, I'm analysing some noise using the nlme-package. I'm writing in order to get my usage of lme verified. In practise, a number of samples have been processed by a machine measuring the same signal at four different channels. I want to model the noise. I have taken the noise (the signal is from position 1 to 3500, and after that there is only noise). My data looks like

Dear all, I'm a trainee statistician in a company and we'd like to understand svm mechanism, at first with simple examples. I use e1071 package and I have several questions. I'm working with data extracted from cats data (from R). My dataset corresponds to a completely separable case with a binary response variable ( Sex with 2 levels: F and M), two explanatory variables (Bwt

Dear list, I am currently writing up some of my R models in a more formal sense for a paper, and I am having trouble with the notation. Although this isn't really an 'R' question, it should help me to understand a bit better what I am actually doing when fitting my models! Using the analysis of co-variance example from MASS (fourth edition, p 142), what is the correct notation for the

Hi list, I have the problem, that a samba 2.2.8a server cannot validate the password with a samba 3.0 pdc for a client request. A samba 2.2.1 works fine. Let me explain the situation in more detail: samba 3.0 pdc machine a samba 2.2.8a server machine b (doesn't work) samba 2.2.1 server machine c (works) samba 2.2.8 client machine d Machine b and c should authenticate the passwords

Hello, I just found this message in our dovecot logfiles: "Disconnected: BUG: Unknown internal error" Should I worry about this ? There are no complaints yet (although it is not limited to one user). It seems to occur with different clients (Apple/MacOS mail, Windows/Thunderbird, Pine). We're running dovecot 1.0.10 on Solaris 10 with mboxes (NFS) and local index storage. There are

Hello, I''ve been handed down a working configuration of (amongst others) an Intel quadcore server running a dom-0 with 4 domU''s (each restricted to 1 cpu). They all run Debian etch and xen 3.0.3 (as far as I can tell). I''m familiar with the concept of virtualization, but haven''t actually used it in production, like this server is. Each domU is used for

Hello, I have a question about the way Dovecot limits file system access. Currently we're using Dovecot 1.0.5 (Solaris 10). In some cases users have a symbolic link like "z: -> /" in their mail directory. As a result there are log entries like Jan 25 13:30:31 imap1 dovecot: [ID 107833 mail.error] IMAP(xyz):

Dear R users, I'm running a SVR in package e1071 but I did not able to calculate the parameters w and b of the regression. I don't know how to do that and if it is possible to do it with this package. Someone have some idea. Any help would be much appreciated. Marlene [[alternative HTML version deleted]]

Hello, a few days ago I switched out UW-server installation to dovecot 0.99.14 (Solaris 9). There were a few client issues, but mostly the migration was ok. But I have still some questions/problems: +) dovecot-auth: ... PAM: pipe() failed: Too many open files I increased the max. number of open files. Is this normal behaviour, that more than 512 open files are needed ? +) we're using mbox

libguestfs is a set of tools for reading and modifying disk images and virtual machines. virt-v2v and virt-p2v are tools for converting guests from foreign hypervisors (especially VMware, Xen), or physical machines, to run on KVM (eg. virt-manager, OpenStack/RHOS or oVirt/RHEV). This is just a heads-up about some changes to the way libguestfs and related packages will be packaged in RHEL 7.2.

Can anyone explain the root of my problem? When I type the following code into R, I receive 42 support vectors insted of the 21 stated in the book 'Modern Applied Statistics with S': library(MASS); library(e1071); library(class); lcrabs <- log(crabs[,4:8]); (svm(crabs$sp ~ ., data = lcrabs, cost = 100, gamma = 1)); By changing the value of gamma I can obtain only 21 support vectors,

Hello users! I'm calculating a simple model using svm(...) from the e1071 package. So far so good, with a linear kernel I'm getting 5 SVs. When plotting the result I see very well separated data clouds, but the underlying color is constantly pink, so as far as I understand no class separation is shown... I would be happy if anyone could explain me this behaviour because I think I have a

Hello all, I'm running slackware linux 8.0 and tries to configure samba 2.2.8a as PDC. I succeded configuring network shares i.e. netlogon, profiles, etc. Everything is OK, but when i tries to make a domain logon using windows 98 apears an error "Wrong parameter". When i tries to join my samba domain under Windows 2000 it says "domain does not exists ....". what am i

Dear people, A somewhat clueless question follows: I just discovered that the lme function in contrib package nlme for R, while similar to the lme function in Splus, does not use the cluster function option. This difference does not appear to be documented in the V&R `R Complements' file. I have data which is divided into 6 groups The lme model is of the form (simplified from the actual