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¡Hola! ¿Alguien sabe si existe una función en R que devuelve el nombre del área de trabajo (workspace) en uso si éste ha sido guardado anteriormente? Con getwd() R me devuelve la carpeta de trabajo, pero si en ésta tengo varios áreas de trabajo guardados, p.e. a.RData y b.RData, ¿cómo podría saber en cuál estoy trabajando si por un despiste no me acordara cuál he abierto anteriormente (sin tener

I'm trying to use procmail and I'm having trouble getting it to set some headers. I have one mailing list that sets ?Newsgroups: in the header and I want to remove it. I have the following test recipe: :0 * ^Subject:.*\<testing * ^(Mime-Version:|Content-) | formail -IMime-Version: -IContent- If I understand it correctly, it should remove the Mime-Verion and Content headers. The recipe gets matched but then doesn't deliver correctly: procmail: Match on "^Subject:.*\<testing" procmail: Match on "^(Mime-Version:|Content-)" procmail: Execut...

Hi everyone, I am doing 5 years mortality predictive index score with survival analysis using a Cox proportional hazard model where I have a continous predictive variable and a right censored response which is the mortality, and the individuals were followed a maximum of 7 years. I'd like to asses the discrimination ability of survival analysis Cox model by computing a ROC curve and area

I've calculated as follows: matusita<-function(f1,f2,lw,up){ fmatu<-function(x) ( sqrt(f1(x)) - sqrt(f2(x)) )^2 sqrt (integrate( fmatu, lower=lw, upper=up, subdivisions=1000000)$value) } Josué Almansa Unitat de Recerca en Serveis Sanitaris Institut Municipal d'Investigació Mèdica, IMIM c/ Doctor Aiguader, 80 08003 Barcelona e-mail: jalmansa@imim.es

Hi everyone, Does anybody knows if there is an equivalent R function that gives the same outcome as in "Explore" function in SPSS ? (Analize->Descriptive Statistics->Explore) It does a categorical vs quantitative variables analysis. ( But not linear regression) I need to compare intragroup (categorical variable with 4 values) means and confidence intervals of a quantitative

Hi R-users, When I import a data base from SPSS with some variable with a name of more than 8 characters (which is possible in version 12 or later of SPSS software) I find that the name of these variables have been truncated to 8 characters. I used the 'read.spss' function from the 'foreign' package. Is there a function in R that solves this 'length variable names'

Hi, Does anybody know how to perform a Cox model analysis for right truncated data? All my data is right truncated, since I only have patients who entered in a hospital for a particular desease, and I would like to modelate the age at hospital entrance as the response variable. Thanks in advance. Isaac Subirana. isubirana@imim.es -------- La informació continguda en aquest missatge i

Hi, Anybody knows a function that can fit haplotype data to a Cox model. I've been searching it in the web without succeed. I use "haplo.stats" package, but unfortunatelly it's not possible to analyse survival data, amb I right?. Thanks in advance. Isaac Subirana (isubirana@imim.es) [[alternative HTML version deleted]]

Hi, Does anybody know how to obtain the same information as the SPSS command "DISPLAY DICTIONARY". I know the read.spss function in the package foreign, but it doesn't give either the missing values defined by the user under SPSS or the format variables (for example if they are dates or not). Thanks in advance. Isaac Subirana (isubirana@imim.es) [[alternative HTML

Dear R users, I am building a packaged where I want to use the "update.formula" function, but modifying the option "simplify = TRUE" to "FALSE". Since this is not an argument, I modified the code and created a new function as: update.formula2 <- function (old, new, ...) { tmp <- .Internal(update.formula(as.formula(old), as.formula(new))) out <-

>Hola colegas, no encuentro como hacer el Mann-Whitney U Test en R. > > Alguna solución????? > > Un abrazo a todos. > > Leonardo > Hola Leonardo: La prueba de Mann-Whitney también se conoce como la prueba de suma de rangos de wilcoxon y puede calcularse mediante la función wilcox.test Un saludo, Nicolás Benítez Parejo Técnico de Evaluación e Investigación Agencia

2010/9/6 <r-help-es-request@r-project.org> > Envíe los mensajes para la lista R-help-es a > r-help-es@r-project.org > > Para subscribirse o anular su subscripción a través de la WEB > https://stat.ethz.ch/mailman/listinfo/r-help-es > > O por correo electrónico, enviando un mensaje con el texto "help" en > el asunto (subject) o en el cuerpo a:

Hola a todos. En linux uso rkward o gedit con el plugin Rgedit, pero me gustaría saber qué editores se pueden usar en windows. He probado Tinn-R , ¿qué usáis vosotros? Gracias

...omp_find_prodcode(). Hans Leidekker (3): wininet: Honour the version override in HttpOpenRequest. wininet: Handle the "100 Continue" response by ignoring it. wininet: Rename a function to better match what it does. Huw Davies (20): inetcomm: Add the beginnings of IMimeMessage_Load. inetcomm: Partial implementation of IMimeBody_GetData. inetcomm: Create the root body in IMimeMessage_Load. inetcomm: Implement IMimeMessage_BindToObject. inetcomm: Added missing initialization. inetcomm: Add a sub-stream implementation. inetcomm: Cr...

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++

Hi everybody, Does anyone know a function to compute the attributable risk of a factor in a logistic regression or a proportional hazard cox model (both with confounding variables)? I need also obtain the confidence interval. Thanks in advance. Isaac Subirana. -------- La informació continguda en aquest missatge i en qualsevol fitxer adjunt és confidencial, privada i d'ús exclusiu

Hi R-users I spend a lot of time searching on the web but I didn?t found a clear answer. I have some doubts with 'frailty' function of 'survival' package. The following model with the function R ?coxph? was fitted: modx <- coxph(Surv(to_stroke, stroke) ~ age + sbp + dbp + sex + frailty(center,distribution = "gamma", method='aic'), data=datax) Then I get

Hi, Does anybody know how to obtain the imputed SNP genotype probabilities from the snpStats package? I am interested in using an imputation method implemented in R to be further used in a simulation study context. I have found the snpStats package that seems to contain suitable functions to do so. As far as I could find out from the package vignette examples and its help, it gives the

This is the named article: http://ije.oxfordjournals.org/content/37/5/1161.long maybe it can help you to help me... :-( -- View this message in context: http://r.789695.n4.nabble.com/INSTRUMENTAL-VARIABLES-WITH-BINARY-OUTCOMES-tp4642361p4642363.html Sent from the R help mailing list archive at Nabble.com.

I have a question about how to compare a GLM with a GAM model using anova function. A GLM is performed for example: model1 <-glm(formula = exitus ~ age+gender+diabetes, family = "binomial", na.action = na.exclude) A second nested model could be: model2 <-glm(formula = exitus ~ age+gender, family = "binomial", na.action = na.exclude) To compare these two GLM