similar to: Hmisc package: deff() command's formula for the design effect

Hello, The journal I am publishing in requires MS Word files. What is my best option for getting a high quality image of a graph done in R into Word? JPEG? Postscript? Thanks. -- View this message in context: http://www.nabble.com/R-graph-into-MS-Word%3A-which-format-to-use--tp23133745p23133745.html Sent from the R help mailing list archive at Nabble.com.

I have the following code which produces the output below it clus1 <- svydesign(ids = ~schid, data = lower_dat) items <- as.formula(paste(" ~ ", paste(lset, collapse= "+"))) rr1 <- svymean(items, clus1, deff='replace', na.rm=TRUE) > rr1 mean SE DEff W525209 0.719748 0.015606 2.4932 W525223 0.508228 0.027570 6.2802 W525035 0.827202

I have two indicator variables ABS and DEFF. I want to create another indicator variable which will take value 1 if either ABS=1 or DEFF=1. Otherwise, it will take value 0. How can I make that? [[alternative HTML version deleted]]

Dear List: I am working to understand some differences between the results of the svymean() function in the survey package and from code I have written myself. The results from svymean() also agree with results I get from SAS proc surveymeans, so, this suggests I am misunderstanding something. I am never comfortable with "I did what the software" does mentality, so I am working to

I want to create a dataset in R with spatial correlation (i.e. clustering) built in for a linear regression analysis. Any tips on how to do this? Thanks. -- View this message in context: http://www.nabble.com/Need-help-creating-spatial-correlation-for-MC-simulation-tp19542145p19542145.html Sent from the R help mailing list archive at Nabble.com.

Hello, I'm running R 2.14.1 on OS X (x86_64-apple-darwin9.8.0/x86_64 (64-bit)), with version 3.28 of Thomas Lumley's survey package. I was using predict() from svyglm(). E.g.: data(api) dstrat<-svydesign(id=~1,strata=~stype, weights=~pw, data=apistrat, fpc=~fpc) out <- svyglm(sch.wide~ell+mobility, design=dstrat, family=quasibinomial()) pred.df <-

Hi folks, Using R Version 1.6.2 (2003-01-10) on SuSE Linux 7.2, I just installed Hmisc_1.5-3.tar.gz and Design_1.1-5.tar.gz These were taken from http://hesweb1.med.virginia.edu/biostat/s/library/r Checked the dependencies: Hmisc: grid, lattice, mva, acepack -- all already installed Design: Hmisc, survival -- survival already installed, so installed Hmisc first All seems to go

Hello, I am trying to do some data cleaning in R. I need to drop observations that take on certain values of a variable. In STATA I might type something like: drop if <variable name> == 3 drop if <variable name> == 4 Is there an R equivalent of this? I have tried playing around with the subset command, but it seems a bit clunky. What would an advanced R user's approach be for

A significant update to the Hmisc package is now available on CRAN for all platforms. Hmisc source is now on github at https://github.com/harrelfe/Hmisc and the full change log may be found at https://github.com/harrelfe/Hmisc/commits/master The most important updates are additions of new graphics functions for summarizing and displaying data with an aim of replacing tables. There is also

Hi, I am trying to figure out exactly what the bootcov() function in the Design package is doing within the context of clustered data. From reading the documentation/source code it appears that using bootcov() with the cluster argument constructs standard errors by resampling whole clusters of observations with replacement rather than resampling individual observations. Is that right, and is

On Mon, Jun 21, 2010 at 9:37 AM, Aaron Gray <aaronngray.lists at gmail.com> wrote: > > Whats going on with having both write_uint32_le() > in WinCOFFObjectWriter::DefineSection() and WriteLE32() in > WinCOFFObjectWriter::WriteFileHeader() ? > Aaron Thanks, missed that one. Nathan used write_uint32_le in WinCOFF.h, and I guess accidentally used it in WinCOFFObjectWriter.cpp.

Just a quick question, My system is quite heavily customised with regard to permissions and MAC labels on system binaries. Is there any way to stop make installworld resetting all my customisation? At the moment I have a set of scripts to set permissions on everything but that's not exactly ideal. Mark -- PGP: http://www.darklogik.org/pub/pgp/pgp.txt B776 43DC 8A5D EAF9 2126 9A67 A7DA 390F

Dynamic DNS updating is failing (which is bizarre, because I could have sworn I'd had it working before). Help? Setup: Samba 4 DC running bind 9.9.2, Samba 3.6.3 member The output of "net -d10 ads join" is attached, compressed. Interesting portions of named.conf: options { (no allow-updates section) ... tkey-gssapi-keytab "/var/lib/samba/private/dns.keytab";

Dear Users, Still having troubles with sharing my results, I'm trying to display a contingency table using summary.formula. Computing works well but I'd like to display information on redundant entries say, males AND females. I wonder if this code is correct : desqualjum <- summary.formula(varqual1$X ~., data = subset( varqual1, select = -X), method = "reverse", overall =

Dear R-users, I'm trying to export object taulu3 from R to a text file (separated with semicolon). Object taulu3 is made with summary.formula in Hmisc package: taulu3 <- summary(sp ~ pdg_newtext, data=tr_ekahj, method="reverse", overall=TRUE) class(taulu3) [1] "summary.formula.reverse" When I try to export the object taulu3, I get the following error message:

Hello, Can summary.formula.reverse be customized to allow other summary statistics to be reported rather than the quartiles and mean +/- sd? The "fun" option apparently doesn't apply when method='reverse' Thanks -- Abhijit Dasgupta, PhD Statistician | Clinical Sciences Section | NIAMS/NIH

Dear all, I?m specifying the fisher.exact test for use with summary.formula as follows: u<-function(a,b){ j<-fisher.test(a) p<-list(P=j$p.value,stat=NA,df=NA,testname=j$method,statname="") return(p) } However I?m also required to specify stat & df. However this doesnt apply to the fisher test. I?ve tried specifying them as NA and "" without

Hello, Warning, I'm guessing only those who have used the Hmisc package's summary.formula function with LaTeX will be able to offer much help here. I am using the Hmisc package's summary.formula function to produce tables for a LaTeX report. The "latex" function in the same package supports longtables in LaTeX. Ideally, I would like for page breaks in the LaTeX output

Dear useRs, When I'm using Hmisc's latex() function with ctable=TRUE on a summary.formula with method="reverse" object and saving in a .tex file, the latter contains an unwanted empty line which makes compilation fail. Here is a brief example : library(Hmisc) test <- data.frame(a=sample(1:30,10),b=sample(c("good","bad","ugly"),10,replace=T))

Thanks, all, for your responses to my earlier email about installing the Hmisc and Design libraries created by Harrell FE Jr. This was the body of my email requesting help: "I have tried, unsuccessfully, to install the Hmisc and Design libraries (Harrell FE Jr) in R-aqua (Apple). These libraries are in source code only (i.e. not yet in ready-to-use binary format). Unfortunately, when I