similar to: Solved problems with randomSurvivalForest

latex(s6a2,title="",caption="Baseline vs zonr",file="",label="Base",long=TRUE,landscape=F, middle.bold=TRUE,here=T, + ,size="smaller[5]",outer.size="smaller",Nsize="smaller",midsize="smaller") "latex" is not reconized \as a internalor external command , un programma eseguibile o un file batch. Warning

Dear All, I got these results from the example in the function "dbeta": >x <- seq(0, 1, length=21) > dbeta(x, 1, 1) [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Any Idea? TIA Giovanni dr. Giovanni Parrinello Section of Medical Statistics Department of Biosciences University of Brescia 25127 Viale Europa, 11 Brescia Italy Tel: +390303717528 Fax: +390303701157

Dear All, I am looking for an implementation in R of the Appell Hypergeometric function. Any suggestions will be more than appreciated! GP -- dr. Giovanni Parrinello External Lecturer Medical Statistics Unit Department of Biomedical Sciences Viale Europa, 11 - 25123 Brescia Italy Tel: +390303717528 Fax: +390303717488 email: parrinel at med.unibs.it

Dear All, discussing with a statistician of a pharmaceutical company I received this answer about the statistical package that I have planned to use: As R is not a validated software package, we would like to ask if it would rather be possible for you to use SAS, SPSS or another approved statistical software system. Could someone suggest me a 'polite' answer? TIA Giovanni -- dr.

Hello, I am planning a study with the main point to evaluate the interaction of two treatments, but for ethical reasons one cell is empty, that with patients receaving no treatment at all Treatment B

Dear All, I am looking for the library QVF [ NONLINEAR MEASUREMENT ERROR PROGRAMS FOR SAS AND SPLUS ]. TIA Giovanni Parrinello dr. Giovanni Parrinello Medical Statistics Unit Department of Medical Sciences University of Brescia Via Valsabbina, 19 25127 Brescia Italy tel.: +39303717528 fax:+39303701157 E-mail: parrinel at med.unibs.it url: http://www.med.unibs.it/dip/stat/index.html

Dear All, I would like to find something ( references, code,..) to implement a comparison of three treatments in an observational study using the 'Propensity Score'. Any help is much appreciated. Thanks! Giovanni -- dr. Giovanni Parrinello Department of Biotecnologies Medical Statistics Unit University of Brescia Viale Europa, 11 25123 Brescia email: parrinel at med.unibs.it Phone:

Last week Giovanni Parrinello posted a message asking why various packages were loaded when he loaded an .Rdata file. Brian Ripley replied saying he thought it was because the saved workspace contained a reference to the namespace of ipred. (Correspondence copied below). This begs the question: how did the reference to the namespace of ipred come to be in the .Rdata file? Brian did say it is

Dear All, from some days when I try to update the installed packages I receive this answer: update.packages(ask='graphics') --- Please select a CRAN mirror for use in this session --- Error in as.list(read.dcf(file = file)[1, ]) : indice fuori limite # index out of bound TIA Giovanni PS: I have already tried to solve the problem reinstalling R or changing the options of

Dear All, can anyone explain this message Error in load("matched2.RData") : Value of SET_STRING_ELT() must be a 'CHARSXP' not a 'builtin'? Have I the possibility to retrieve the data? TIA Giovanni -- dr. Giovanni Parrinello Department of Biotecnologies Medical Statistics Unit University of Brescia Viale Europa, 11 25123 Brescia email: parrinel at med.unibs.it Phone:

Last week Giovanni Parrinello posted a message asking why various packages were loaded when he loaded an .Rdata file. Brian Ripley replied saying he thought it was because the saved workspace contained a reference to the namespace of ipred. (Correspondence copied below). This begs the question: how did the reference to the namespace of ipred come to be in the .Rdata file? Brian did say it is

Hello to All. I'd want to use a one-way ANOVA. This means that I have only one factor, with, lets say, 5 levels. I made a dataframe, called "DATA", with two Columns: A, that is my response, and it is "class numerical". B, that defines the different levels of my factor, and it is "class factor". If I want to use a fixed effect model, I know that the formula I have

Dear R Fellow-Travellers: What is your recommended way of dealing with a left-censored response (non-detects) in (linear Gaussian) mixed effects models? Specifics: Response is a numeric positive measurement (of volume, actually); but when it falls below some unknown and slightly random value (depending on how the sample is prepared and measured), it cannot be measured and is recorded as 0.

Hello. Just a quick follow-up, for other 'plm' users on the list: - the problem turned out to be logs of zero values hidden in the big dataset - trying log(xx) would not reveal the problem, because log(0)=-Inf is a valid result in log() while it is an invalid input to plm() --> it is always advisable to try lm(yourformula, yourdata) as a first diagnostic check when plm(yourformula,

Dear All, I am trying to apply the function 'cox.zph' of the library survival, but I receive this error message: not found the object 'residuals.coxph'. I have re-installed the library 'survival' without any change and also a search with RSiteSearch was unsuccessful.. Any suggestion? TIA Giovanni PS: R 2.2.0 Windows XP HE dr. Giovanni Parrinello Section of Medical

Dear All, simetimes when I load an Rdata I get this message ####### Code: load('bladder1.RData') Carico il pacchetto richiesto: rpart ( Bad traslastion: Load required package-...) Carico il pacchetto richiesto: MASS Carico il pacchetto richiesto: mlbench Carico il pacchetto richiesto: survival Carico il pacchetto richiesto: splines Carico il pacchetto richiesto: 'survival'

I'm using randomSurvivalForest to predict survival from a rather small sample. As it's not enough data to have training and validation set, I rely on the "Estimate of error rate" computed by the randomForest. If I understand the method correctly, it repeatedly partitions the data into varying training/validation sets during the learning steps, which also produces the

Dear useRs: Release 3.2.0 of the CRAN package randomSurvivalForest is now available. ---------------------------------------------------------------------------------------------- Release 3.2.0 represents a significant upgrade in the functionality of the product. Key changes are as follows: o A second method of perturbing the data set in order to calculate variable importance (VIMP) has been

Dear useRs: Release 3.2.0 of the CRAN package randomSurvivalForest is now available. ---------------------------------------------------------------------------------------------- Release 3.2.0 represents a significant upgrade in the functionality of the product. Key changes are as follows: o A second method of perturbing the data set in order to calculate variable importance (VIMP) has been

Please find release 3.5.0 of the CRAN package "randomSurvivalForest" now posted on CRAN. Thank you. ubk2101 at columbia.edu Udaya B. Kogalur, Ph.D. Kogalur Shear Corporation 5425 Nestleway Drive, Suite L1 Clemmons, NC 27012 --------------------------------------------------------------------------------- CHANGES TO RELEASE 3.5.0 RELEASE 3.5.0 represents a significant upgrade in the