similar to: categorical variables

#dsync -D -vv -u stak at nti.uff.br mirror maildir:/CX4/vdomains/ nti.uff.br/stak/mail dsync(root): Fatal: Mail locations must use the same virtual mailbox hierarchy separator (specify separator for the default namespace) My mail.conf *mail_location = mbox:/CX4/vdomains/%d/home/%n/mail:INBOX=/CX4/vdomains/%d/var/spool/mail/%n:INDEX=/tmp/imap-index/%d/%n *What that error means ? Before when i

I am trying to create a classification tree using either tree or rpart but when it comes to plotting the results the formatting I get is different than what I see in all the tutorials. What I would like to see is the XX/XX format but all I get is a weird decimal value. I was also wondering how you know which is yes and which is no in each leaf of the tree? Is yes always on the left?

Dear all, on my Windows XP R 2.4.0 version with Package its version 1.1.4 I have a problem with str() applied on an its-object after a simple matrix manipulation on the its object (see below). I am not sure, whether this a problem with my application, its or str(). Of course, one can make > str(core(its(mat)) / 1) num [1:2, 1:3] 1 2 3 4 5 6 - attr(*, "dimnames")=List of 2 ..$

Hi All, I'm running Samba 2.2.7a on Solaris 8. Since installing 2.2.7, we've been having a problem where occassionally (starting to happen more) users are denied access to their home directory. They are able to login and their roaming profile is downloaded (which is in their [homes] share). But as soon as they try to get to their home directory, they get an access denied error.

I am trying to create a classification tree using either tree or rpart functions but when it comes to plotting the results the formatting I get is different than what I see in all the tutorials (like http://www.youtube.com/watch?v=9XNhqO1bu0A or http://www.youtube.com/watch?v=m3mLNpeke0I&feature=related or http://www.statmethods.net/advstats/cart.html "tree for kyphosis"). I am

Dear R Developers, After having fully read "Advanced R First Edition" , and having just bought my physical copy of "Advanced R Second Edition", I recommend that: Any community member interested in the development of R reads "Advanced R Second Edition", which explains R Language Core concepts cristal clear, and shows the motivation behind libraries such as

Are there any suitable routines that perform factor analysis of categorical or mixed categorical/continuous data in R? Stuart Dr Stuart Leask MA MB BChir (Cantab) MRCPsych Clinical Lecturer in Psychiatry, University of Nottingham Dept Psychiatry Duncan Macmillan House, Porchester Road, Nottingham. NG3 6AA. UK tel. 00 44 115 969 1300 xtn 40784 fax 0115 955 5352

No users are left, kill it off! :D Conversion to the reservation api is next on the list, after that the functionality can be restored with rcu. Signed-off-by: Maarten Lankhorst <maarten.lankhorst at canonical.com> --- drivers/gpu/drm/nouveau/nouveau_bo.c | 25 +++------- drivers/gpu/drm/nouveau/nouveau_display.c | 6 -- drivers/gpu/drm/nouveau/nouveau_gem.c | 16 +-----

I am looking to fit one or more latent categorical variables to data that is a mixture of categorical and continuous variables. Factor analysis would work for continuous data, latent class analysis for categorical data. I understand that in a package such as MPlus I could perform a single analysis of both data types. Are there similar routines available in R? Stuart -----Original Message-----

Final driver! \o/ This is not a proper dma_fence because the hardware may never signal anything, so don't use dma-buf with qxl, ever. Signed-off-by: Maarten Lankhorst <maarten.lankhorst at canonical.com> --- drivers/gpu/drm/qxl/Makefile | 2 drivers/gpu/drm/qxl/qxl_cmd.c | 5 - drivers/gpu/drm/qxl/qxl_debugfs.c | 12 ++- drivers/gpu/drm/qxl/qxl_drv.h | 22 ++---

Hi, <p>here's my €0.02 on that topic. First of all, all those new tags are total overkill to be standardized. They're only useful for people who both tag OGG files for a living and listen to classical music only. Imagine what will happen when the Jazz fans, and the Techno fans, and the Rock fans and who knows else demands his very own, customized + standardized set of tags. And

> On Jun 14, 2017, at 2:47 PM, Michael Clark via llvm-dev <llvm-dev at lists.llvm.org> wrote: > >> >> On 15 Jun 2017, at 6:50 AM, Louis Gerbarg <lgerbarg at apple.com <mailto:lgerbarg at apple.com>> wrote: >> >>> >>> On Jun 6, 2017, at 4:08 PM, Michael Clark via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at

Hello, I wonder when I do coxph in R: coxph( Surv(start, stop, event) ~ x, data=test) If x is a categorical varible (1,2,3,4,5), should I creat four dummy varibles for it? if yes, how can I get the overall p value on x other than for each dummy variable? Thanks Lisa Wang Princess Margaret Hospital Phone 416 946 4501

Dear All, Can the x matrix in the glmnet() function of glmnet package be a data.frame with numeric columns and factor columns? I am asking this because I have a model with both numeric and categorical predictors, which I would like to study with glmnet. I have already tried to use a data.frame, but with no success -- as far as I know, the matrix object can only have data of a single type. Is

Hello All: I know the function loglin() and loglm() from librarary(MASS) performs analysis on nominal categorical data. Are there any libraries, functions or examples available for analysis of ordinal categorical data? I have in mind procedures that can replicate results in Alan Agresti (1984) "Analysis of Ordinal Categorical Data." Thanks, ANDREW

It always helps to check whether you got the data into R correctly. Hint: What does str(credit) tell you? Andy > From: Melanie Vida > > Hi All, > > My question is in regards to an error generated when using > randomForest > in R. Is there a special way to format the data in order to > avoid this > error, or am I completely confused on what the error implies?

Dear all users, I"d like to ask you how to make decision about colinearity among categorical independent variables when the model is multinomial logistic regression. Any help is appreciated, Niklas [[alternative HTML version deleted]]

Hi R-helpers, I was trying to put gender='Male' in newdata to create a expected survival curve for a pseudo cohort by using survfit based on Cox regression. My codes are shown below: fit<- coxph(Surv(end, status2)~gender, data=wlwsn1) Summary(fit) coef exp(coef) se(coef) z p genderMale 0.204 1.23 0.0912 2.23 0.025

Dear R-Users, I have a data frame with several categorical variables. I want to create a new data frame with dummy variables (with all levels). I know the function model.matrix (see below) but it works only for one categorical variable : > tt <- c("a","a","b","a","c") > tt <- factor(tt) > model.matrix(~ tt - 1) is there anyone who

Dear useRs, A new package 'drm', version 0.5-4, is available on CRAN. The drm package provides functions for marginal regression analysis of repeated (or otherwise clustered) binary, ordinal and nominal responses. This package can be considered as a likelihood-based alternative to GEE approach for marginal regression. In addition to regression modelling, several temporal and latent