search for: emv

...cated in dimensions higher than 2. The idea is that I have a set of fully specified vectors (i.e., with no missing values) and I get a new vector that has one or more missing attributes; I need to fill in the missing values with values that are, based on the 'training set', representative. EMV appeared to be the solution but it has been taken off CRAN and I can't seem to install the archived version by hand on my Windoz machine. Does anyone know of an alternative to EMV? Thanks, Chris Elsaesser, PhD 703.371.7301 (m) Principal Engineer 703.983.4116 (o) Infor...

...t;EVA.AV120", stdev="EVA.SD120")) mrets <- merge(mrets, EMT.SR=apply(mrets, 1, MyFunc, ret="EMT.AV120", stdev="EMT.SD120")) mrets <- merge(mrets, EMM.SR=apply(mrets, 1, MyFunc, ret="EMM.AV120", stdev="EMM.SD120")) mrets <- merge(mrets, EMV.SR=apply(mrets, 1, MyFunc, ret="EMV.AV120", stdev="EMV.SD120")) mrets <- merge(mrets, ETM.SR=apply(mrets, 1, MyFunc, ret="ETM.AV120", stdev="ETM.SD120")) Is there a way to simplify this, some sort of loop? mrets is a zoo object. .AV120 and .SD120 are colu...

Hello R group Do you know if an EM algorithm exits for R to estimate missing data in a sample? I just found knn algorithm in to the package emv but it doesn't look to be the usual EM algorithm. Thanks Xavier -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in...

...tuwien.ac.at> License: GPL (see file COPYING), except for ./src/muin2ser.f and ./misc which are free for non-commercial purposes. See file README for details. URL: http://www.r-project.org Index of Contents (Text) Reference Manual (PDF) Package Sources AnalyzeFMRI CoCoAn Devore5 EMV GLMMGibbs GenKern GeneSOM KernSmooth Matrix NISTnls Oarray PHYLOGR PTAk RArcInfo RMySQL RODBC RPgSQL RandomFields RmSQL Rstreams Rwave SASmixed SuppDists VR XML acepack adapt akima ash bindata blighty boot bootstrap bqtl car cclust cfa chron cluster cmprsk coda conf.design cramer date diamonds dse...

...nds I'm trying fit a survival model by maximum likelihood estimation using this function: flver=function(a1,a2,b1,b2) { lver=-(sum(st*log(exp(a1*x1+a2*x2)))+sum(st*log(hheft(exp(b1*x1+b2*x2)*t,f.heft))) -(exp(a1*x1+a2*x2)/exp(b1*x1-b2*x2))*sum(-log(1-pheft(exp(b1*x1+b2*x2)*t,f.heft)))) } emv=mle(flver,start=list(a1=0,a2=0,b1=0,b2=0)) where hheft and pheft are functions defined in polspline package. My variables are: t: time st: censor x1 and x2: Covariates I don't find any estimation because an error occurs: Non finite/finite difference value [0]. Can I treat this error? I tr...

Hi all, A colleague of mine tried to install the package EMV, which had been removed from CRAN. she ran into some kind of trouble, R locked up, and she closed the program. Now when she starts R, "utils" can't be loaded which of course create an unworkable environment. Below I've copy-pasted the error message she gets when starting R. Any id...

Hola, LLevo buscando desde hace tiempo como hacer el Goodness of fit test en R. Es decir, me explico, intento hacer una cosa parecida que se hace en Minitab, por ejemplo, yo tengo un conjunto de datos, y lo que quiero es sabes que tipo de distibución es, en minitab se hace un histograma para ver si se ajusta bien o no a la campana de Gauss, luego vemos si aproximar la distribución de la muestra

Hi, I'm using: platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 5.1 year 2002 month 06 day 17 language R and I would like to apply: > update.packages() trying URL

Hi, I tried to install fMultivar package but an error occurs that I could not understand. (I've been worked with linux / Ubuntu 6.06 LTS) > install.packages("fMultivar") Warning in install.packages("fMultivar") : argument 'lib' is missing: using /usr /local/lib/R/site-library --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk

...The program works on the same algorithm as ISP mail systems do. Mail servers addresses for specified address are extracted from DNS. The program tries to connect with found SMTP-servers and simulates the sending of message. It does not come to the message <nobr>sending &#8255;/NOBR> EMV disconnect as soon as mail server informs does this address exist or not. EMV can find about 90% of dead addresses &#8255;/NOBR> some mail systems receive all messages and only then see their addresses and if the address is dead send the message back with remark about it.</nobr>&lt...

Hello R experts I am using Hmisc aregImpute and Impute (following example on page 105 of The Hmisc and Design Libraries). *My end goal is to have NAs physically replaced in my dataframe. I have read the help pages and example in above sited pdf file, but to no avail. Here is example of what I did. Ph, my data frame, is attached. > xt <- aregImpute (~ q5 + q22rev02 + q28a, n.impute=10,

Hi there fellow R-users, Does anyone know if there is a package for k nearest neighbours prediction as opposed to classification? I have found the package knncat but can't see a way to adjust it to predict a continuous variable. Any help would be great, Regards Wayne Jones KSS Ltd Seventh Floor St James's Buildings 79 Oxford Street Manchester M1 6SS England Company

...The program works on the same algorithm as ISP mail systems do. Mail servers addresses for specified address are extracted from DNS. The program tries to connect with found SMTP-servers and simulates the sending of message. It does not come to the message <NOBR>sending &#8255;/NOBR> EMV disconnect as soon as mail server informs does this address exist or not. EMV can find</NOBR></FONT></P> <FONT face=Arial><NOBR> about 90% of dead addresses &#8255;/NOBR> some mail systems receive all messages and only then see their </NOBR></FONT&g...

Hi all, I use a function update.packages to update all packages in my R instalation. But I need compare one by one packages to discovery new packages. My question is: Exist in R any function that compare all installed packages in my R and all packages available in CRAN and return a list of the new packages (ie packages that I dont have im my installation) and automatic download and install

I have some code that is simply formatting and parsing URLs and I really don''t want to associate it with a view or a controller or a model - I just want it to be available as a utility class. Where should this utility class go? I would have to import it into my controller using "require" correct? Thanks, Wes -- Posted via http://www.ruby-forum.com/.

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I'd like to search the r-help archives. Is there a way? I want to find out how to impute missing values. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

This group impresses me, so far I have been helped with all my questions within 24 hours. Thanks. Therefore another one. I am used to programs (such as STATA) where observations with missing values that are included in a model are simply ignored in the analysis. So far I have not been able to figure out how to deal with missing values in R and have solved the problem by deleting observations

...om now. Those other measures need to get better (PKA only, put it behind a VPN). Not the password getting slightly longer. ATMs and credit cards in the U.S. The weak link is the magnetic stripe, not the 4 digit PIN. The enhancement for credit cards due this year is not 5 or 6 digit PINs. It's EMV chips. And the end user will be minimally affected in terms of usability, the security will be vastly better than even if 5 or 6 digit PINs were employed and besides no one would accept that anyway. And that's where we are with computers and passwords. > Meanwhile over here in CentOS land...

Dear list members, the following hlm was constructed: hlm <- groupedData(laut ~ design | grpzugeh, data = imp.not.I) the grouped data object is located at and can be downloaded: www.anicca-vijja.de/lg/hlm_example.Rdata The following works: library(nlme) summary( fitlme <- lme(hlm) ) with output: ... AIC BIC logLik 425.3768 465.6087 -197.6884 Random effects: