similar to: find weighted group mean

Hello to all. My question is very simple... Let's say we have a data frame with three variables (columns): X, W and F. X is a numeric variable (e.g. like income) F is a factor (e.g. with 2 levels) and W is a case weight (data are from household sample but an individual was interviewed, weights are functions of number of persons in the house hold). I wanted to compute a means of X weighted

Dear all, someone can find what I doing wrong with the following function. It is for winsorisation mean. At my eyes it is ok, but for reason I sometimes it is changing the results when I change the k value. wmean <- function (x, na.rm = FALSE, k = 1) { if (any(i.na <- is.na(x))) { if (na.rm) x <- x[!i.na] else return(NA) } n

Dear R community, I am trying to write my own user defined split function for rpart. I read the example in the tests directory and I understand the general idea of the how to implement user defined splitting functions. However, I am having troubles with addressing the data frame used in calling rpart in my split functions. For example, in the evaluation function that is called once per node,

I have been trying to write my own user defined function in Rpart.I imitated the anova splitting rule which is given as an example.In the work I am doing ,I am calculating the concentration index(ci) ,which is in between -1 and +1.So my deviance is given by abs(ci)*(1-abs(ci)).Now when I run rpart incorporating this user defined function i get the following error message: Error in

Dear all, Suppose I have this data frame: > data_main V1 V2 foo 13.1 bar 12.0 qux 10.4 cho 20.33 pox 8.21 And I want to split the data into two parts first part are the one contain in the source array: > src [1] "bar" "pox" and the other one the complement. In the end we hope to get this two dataframes: > data_child1 V1 V2 bar 13.1 pox

> Hi, Check if the shared directory has the write permission for all. i.e. chmod 777 for the particular directory > Date: Sun, 19 Sep 1999 21:06:36 -0700 > From: Kenny Cho <Kenny.Cho@Corp.Sun.COM> > To: samba@samba.org > Subject: Problem copying files to samba mount. > Message-ID: <37E5B2CC.9ADC9F8A@ha1pal.corp.sun.com> > MIME-Version: 1.0 >

Dear R users, I'm new of the R, I really don't know much. I want classification some data (two class, many features and huge size of data) by using R. At this case, I want using Support Vector Machine, Bayes theory based classifier, Discriminant Analysis, Regression based at least. Which package should I using, and can I compare each classifier result by predictions? Thank you.

https://bugzilla.samba.org/show_bug.cgi?id=5811 Summary: rsync error: error allocating core memory buffers (code 22) at io.c(635) Product: rsync Version: 3.0.4 Platform: x64 OS/Version: Linux Status: NEW Severity: blocker Priority: P3 Component: core AssignedTo: wayned@samba.org

https://bugzilla.netfilter.org/show_bug.cgi?id=1206 Bug ID: 1206 Summary: segfault when snat map rule has been added Product: nftables Version: unspecified Hardware: x86_64 OS: Ubuntu Status: NEW Severity: normal Priority: P5 Component: nft Assignee: pablo at netfilter.org

estimados no he encontrado el modo de hacer en R el tipico grafico de medias con la desviacion estandar asociada ... me explico, tengo 2 variables numericas, para la variable independiente se elijen 3 niveles y en cada uno de ellos se mide 15 veces la variable respuesta, para este data.frame se quiere mostrar en un grafico en el eje X los 3 niveles escogidos y en el Y la vbla respuesta, pero no e

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Greetings all, Working in concert with the original authors, Klaus Rechert and Patrick McHardy, I have translated their article "HFSC Scheduling mit Linux" [0] on Hierarchical Fair Service Curve (HFSC) into English [1]. http://linux-ip.net/tc/hfsc.en/ Although the original content is not available directly from their website,

Hi, thanks everyone for any help in advance. I found myself dealing with a tabular time-series data formatted each row like [ time stamp, ID, values]. I made a small examples: X = data.frame(t=c(1,1,1,2,2,2,2,3,3,3,4,4,4,5,5),id =

https://bugzilla.mindrot.org/show_bug.cgi?id=3584 Bug ID: 3584 Summary: Segfault when built with optimisations on macOS 13 (x86_64) with Xcode 14.3 Product: Portable OpenSSH Version: 9.3p1 Hardware: amd64 OS: Mac OS X Status: NEW Severity: major Priority: P5

Dear colleagues, May you point me out to the PLS module in R system? I could not find it at all using "PLS" or "partial" as the search keywords. Thank you. Sokratis. ---------------------------------- Sokratis ALIKHANIDI, Ph.D. Department of Knowledge-based Information Engineering Toyohashi University of Technology 1-1 Hibarigaoka, Tempaku-cho, Toyohashi 441, JAPAN TEL:

Hi, I have a column of a dataframe which has time stamps like: > eh$t[1] [1] 06/05/2005 01:15:25 and was wondering how to convert it to chron variable. Thanks a lot. Young.

Is there a package or function for multivariate garch model in R? I am having a hard time in locating one. Thanks for help in advance. -Young [[alternative HTML version deleted]]

Hello, all. I want to manipulate LLVM-backend to emit other compiler's IR, in this case, VPO's IR. So, what i want to know is.. Is there a project to be referred? (For example, "Do LLVM-backend -> GIMPLE" project exist?) Or, how can I manipulate it easily? Thanks, Cho Yeong-pil -------------- next part -------------- An HTML attachment was scrubbed... URL:

Thank you for the reply. I changed the remote command to a generic example because in our case, we are using an internal binary that I didn't want to make public. I thought it wouldn't matter, but apparently, it does. I am sorry I can't share more about this tool. BTW, our environment is based on FreeBSD, not on Linux. In our case, because "isatty" is set to 0, it never

Hello, I am trying to build a speex library file for armv6 on intel MAC OS. I've also put -enable-arm5e-asm whether arm5e-asm works or not. ./configure -prefix=/Users/mijin/temp -disable-shared -enable-static - enable-fixed-point -enable-arm5e-asm This gives below errors. gcc -DHAVE_CONFIG_H -I. -I. -I.. -I../include -I../include -I.. -g - O2 -fvisibility=hidden -MT cb_search.lo -MD

Hi, I am trying to find out a collinearity in explanatory variables with alias(). I creat a dataframe: dat <- ds[,sapply(ds,nlevels)>=2] dat$Y <- Response Explanatory variables are factor and response is continuous random variable. When I run a regression, I have the following error: fit <- aov( Y ~ . , data = dat) Error in "contrasts<-"(`*tmp*`, value =