similar to: dataset for classification ?

Hello, i'm looking for the procedure to generate a random number between 0-1. Try rnorm() but can't get to do generate between 0-1 thanks(i'm sur it's easy) -- Nicolas Baurin Doctorant Institut de Chimie Organique et Analytique, UPRES-A 6005 Universit? d'Orl?ans, BP 6759 45067 ORLEANS Cedex 2, France Tel: (33+) 2 38 49 45 77

Hello to all R people, for the application of a function to each column of a matrix (ex: function sum()), i'd like to know if there is a simpler (and faster) alternative to a loop like : for (i in 1: ncol(m)){sum(m[i])} Thanks in advance, Cordialement, -- Nicolas Baurin Doctorant Institut de Chimie Organique et Analytique, UPRES-A 6005 Universit? d'Orl?ans, BP 6759 45067 ORLEANS Cedex

Hello to the R people, within ward clustering the distance calculated to decide the clustering of 2 subsets (h1 and h2) is the variation of inertia : d(h1,h2)=I(h1Uh2)-I(h1)-I(h2); i've been said that a way to calculate faster this d(h1,h2) is using the huygens theorem decomposing the inertia into "the inertia to the centroid + the distance to an axe" (that's my version ...). My

Hi R people, i'm looking for the Reciprocal Nearest Neighbour algorithm applied to Ward clustering; I know that it is explained in details in the following book: Downs, G. M.; Willett, P. In Advanced Computer-Assisted Techniques in Drug Discovery; van de Waterbeemd, H., Ed.; VCH: Weinheim, 1994; Vol. 3. but cannot order copies it without knowing the pages involved; could someone

Hello to all of you, What i try to do : i got data of the type (x,y) which i plot with plot (x,y). i want to actualise that plot adding new points (x,y) (i did it with points(x,y)): how can i adjust the scale of the axis x and y to see all the points in the window. Ex: i start with plot (1,0.5). If i do points(0.8,0.5) no problem, all my points are visible on the graph. But if i do points(2,2),

Hello R people, i'm trying to implement the Partial Least Squares algorithm called SAMPLS from "J.Comp-Aided Molecular Design", 7 (1993), 587-619. It's faster than the classical PLS algorithm for fat matrix (m>>n). Here's the algorithm from the article of Bush B. L. and Nachbar R.B.: X is the matrix of explanatories proprieties (m*n) , y the matrix of responses, h

Hi everybody, i try to install the R 1.0.1 on a mips-sgi-irix6.2 system. The configure seems ok : it ends with - souce directory : . - installation dircetory : /usr/local - C compiler : cc -g - Fortran compiler : fort77 - Gnome support : no But when i enter : make it says: -syntax error in file ../tools/jeywords2html at line 9, next 2 tokens "my $key" -syntax error in file

Dear all, after having calibrated a svm model through the svm() command of the e1071 package, is there a way to i) represent the modeled relationships between the y and X variables (response variable vs. predictors)? ii) rank the influence of the predictors used in the model? Right now I am more interested in regression models, but I guess this would be useful for classification too. Thank

R-helpers, Beginner in R language, I have a problem to install a package (multiv) in R for Windows 98 (R-Gui) First I have got the multiv.zip file from the CRAN precompiled contributed packages for Windows and put this file in C:/Program Files/rw1022. in R-Gui I tried to install it as following > install.packages("C:/Program Files/rw1022/multiv.zip") I received the following

Dear R useRs, I have a problem with nls.lm function of minpackl.lm package. I need to fit the Van Genuchten Model to a set of data of Theta and hydraulic conductivity with nls.lm function of minpack.lm package. For the first fit, the parameter estimates keep changing even after 1000 iterations (Th) and I have a following error message for fit of hydraulic conductivity (k); Reason for

I have been having some problems setting up tinc on 2 masquerading linux slackware boxes. routerA is a NAT router to the internet, for two networks on two interfaces. This are the two networks: eth1 Link encap:Ethernet HWaddr 00:E0:4C:6C:6D:86 inet addr:192.168.0.1 Bcast:192.168.0.255 Mask:255.255.255.0 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX

I've tried 2 builds of dovecot, based on a amd64 rebuild of the experimental package on http://xi.rename-it.nl/debian/ I've tried to include as much useful info as possible, sorry if I've missed out anything of use. Let me know as I'm more then happy to assist in any way possible. $ telnet host 110 Escape character is '^]'. +OK Dovecot ready. USER ian at domain.com +OK

I upgraded (NetBSD 2.99 i386) from 1.0rc7 to 1.0rc24 and then tried rc25, and in both cases need to restart Dovecot every day or so (low volume server). It seems to run out of file descriptors. I have now raised the file descriptor limit to 1024, but that is not a long-term solution... ... Mar 5 11:41:38 arioch dovecot: pipe() failed: Too many open files Mar 5 11:42:38 arioch

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, Former user of Xen and newbie in kvm/qemu/libvirt stuff, I give it a try on my network ;-) I need to run a VM with iSCSI target attached. I did it this way : 1) Creation of iscsi pool (equa.xml) : <pool type="iscsi"> <name>equalog</name> <source> <host name="10.10.0.1"/> <device

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Hi all, Another requirement we have is that traffic entering the DS domain be classified then subsequently assigned a (different?) DSCP based upon its classification. For illustrative purposes only let''s say (for traffic entering the DS domain on dev eth0): - WWW traffic would be marked BE - traffic destined for 10.10.10.10 would be marked AF11 - VoIP traffic from 20.20.20.20 would

Hello list, I am faced with a two-class classification problem with highly asymetric class sizes (class one: 99%, class two: 1%). I'd like to obtain a class probability model, also introducing available information on the class prior. Calling kernlab/ksvm with the line > ksvm_model1<-ksvm(as.matrix(slides), as.factor(Class), class.weights= c("0" =99, "1" =1),

Hi, I created an rpart object and pruned the tree using 1-SE rule. I used 10-fold cross validation while creating the tree. Then, I extracted the cross-validated predictions for my data points using xpred.rpart and obtained some statistics like precision, recall, overall error rate, etc. However, these values change each time I run xpred.rpart because of the random shuffling going on before

Hello everybody, I'm looking for a way to build an RBF classification network with R but I can't find any. I know there is the 'neural' package, but apparently the RBF networks I can build with that are for approximation tasks only. Is there any package I can use to build an RBF network for a classification task? I've also looked on CRAN but couldn't find any. Thank you for

I''m thinking it should be fairly simple to have a puppetmaster call out to an ENC script that queries the EC2 API to get tags for classification purposes, and would be surprised if someone hasn''t already written an ENC script to do this. I''m thinking this will help let nodes in autoscaling groups get classified, however that does still leave the issue of certs. Thanks,