search for: nanae

Hello R-devel, Best wishes in the new year. I am writing to kindly request new R function so NA_real_ can be more easily detected. Currently if one wants to test for NA_real_ (but not NaN) then extra work has to be done: `is.na(x) & !is.nan(x)` Required functionality is already at C level so to address my request there is not that much to do. Kevin Ushey made a nice summary of current R C api

"nana" is meant to express "NA, really NA". Your suggestion sounds good. On Thu 2 Jan, 2020, 3:38 AM Pages, Herve, <hpages at fredhutch.org> wrote: > Happy New Year everybody! > > The name (is.nana) doesn't make much sense to me. Can you explain it? > > One alternative would be to add an extra argument (e.g. 'strict') to > is.na(). FALSE by

Happy New Year everybody! The name (is.nana) doesn't make much sense to me. Can you explain it? One alternative would be to add an extra argument (e.g. 'strict') to is.na(). FALSE by default, and ignored (with or w/o a warning) when the type of 'x' is not "numeric". H. On 12/31/19 22:16, Jan Gorecki wrote: > Hello R-devel, > > Best wishes in the new

Hi All, I have conducted the following survival analysis which appears to be OK (thanks BRipley for solving my earlier problem). > surv.mod1 <- survreg( Surv(timep1, relall6)~randgrpc, data=Dataset, dist="weibull", scale = 1) > summary(surv.mod1) Call: survreg(formula = Surv(timep1, relall6) ~ randgrpc, data = Dataset, dist = "weibull", scale = 1)

Dear CSAG R users, I will be glad if someone can point out what I am doing wrong or not doing at all in this. I am trying to write out netcdf file in R. I have 26 time step but only the first time step is written. For example: >library(ncdf) >path <- '/home/work/' >forecast <- open.ncdf(paste(path,'cam.1980.2005.nc',sep="")) > fore <-

Dear CSAG R users, I will be glad if someone can point out what I am doing wrong or not doing at all in this. I am trying to write out netcdf file in R. I have 26 time step but only the first time step is written. For example: >library(ncdf) >path <- '/home/work/' >forecast <- open.ncdf(paste(path,'cam.1980.2005.nc',sep="")) > fore <-

Hi., I would like to conduct a CHAID tree analysis - Chi-square Automatic Interaction Detector. >From what I can make out from MASS, tree, rpart, and a quick search it isn't available as a package. Is that correct or have I missed it? Has anyone an available implementation of it? Thanks Stephen Nana Mail <http://mail.nana.co.il> - Get Your Free Personal Outlook 2003 Now

Hi I am sure that this question has been asked before ... appologies in advance This - which comes out very nicely - better than the commercial stuff. plotmeans (cdpy~Dodefordpy, Data = Dataset, connect = False, minbar = 1, mean.labels = FALSE, col = "blue", barwidth = 1.5, barcol = "red", ci.label = FALSE, xlab="Onset", pch = 15, par(las =2)). Only one snag I

Hi All, I am currently conducting a mixed model. I have 7 repeated measures on a simulated clinical trial. If I understand the model correctly, the outcome is the measure (as a factor) the predictors are clinical group and trial (1-7). The fixed factors are the measure and group. The random factors are the intercept and id and group. I tried using 2 functions to calculate mixed effects.

Hi All., Following on from all the help I received earlier .. Just so as you know a well known text book (T&F) uses "repeated observations" - I think perhaps they meant repeated measures in retrospect I am a total beginer to ARIMA, but have read a a basic text. I read that ARIMA requires a minimum of 50 repeated measures in time (repeated measures)- Unfortunately, I have 8

Hello, I have a samba PDC with an openLDAP backend. on my windows 7 machines which have joined the Samba PDC domain I cannot see the groups on windows. Does anyone know the reason why ? I can see the mapped groups in groupmap list though root at smb-pdc[~]# net groupmap list Domain Admins (S-1-5-21-831610874-1793854533-4121639242-512) -> Domain Admins Domain Users

Hi I have been asked to provide Weibull parameters from a paper using Kaplan Meir survival analysis. This is something I am not familiar with. The survival analysis in R works nicely and is the same as commercial software (only the graphs are superior in R). The Weibull does not and produces an error (see below). Any ideas why this error should occur? My approach may be spurious.

Hi everyone, I made this set of boxplots that would show me the widths of some sites broken up by some chromosome, but I don't know how to make it indicate the number of data points that created the boxplot. How do I do that? boxplot(data$site~data$chr,varwidth='TRUE') -- View this message in context: http://r.789695.n4.nabble.com/boxplot-width-tp2266805p2266805.html Sent from the

Hi everyone, I have the following question: given three objects let's say: a <- c( 2 , 5, 15, 16) b <- c(1 ,1, 8 , 8) c <- c (10, 10 11 ,11) m<-matrix(c(a,b,c),byrow=T,nrow=3) rownames(m)<-c("gene a", 'gene b','gene c') m gene.dist<-dist(m,method='euclidian') gene.dist which is the best way to plot their evolution in time? shoul I use a

Hello all, I have problem with setting up random effects. I have a model: y=x1+x2+x1*x2+z1+z1*x2 where x1, x2, x1*x2 are fixed effects and z1, z1*x2 are random effects (crossed effects) I use library(nlme) 'lme' function. My question is: how I should set up random effects? I did lme(y~x1+x2+x1:x2, data=DATA, random=~z1+z1:x2, na.action='na.omit') but it did not work.

Hi All, I am currently conducting some survival analyses. I would like to extract coefficients at each level of the IVs. I read on a previous posting that dummy regression using coxph was not possible. Therefore I though, hey why not categorize the variables (I realize some folks object to categorization but the paper I am replicating appears to have done so ...) and turn the variables

The following dataframe will illustrate the problem DF<-data.frame(name=rep(1:5,each=2),x1=rep("A",10),x2=seq(10,19,by=1),x3=rep(NA,10),x4=seq(20,29,by=1)) DF$x3[5]<-50 # we have a data frame. we are interested in the columns x2,x3,x4 which contain sparse # values and many NA. DF name x1 x2 x3 x4 1 1 A 10 NA 20 2 1 A 11 NA 21 3 2 A 12 NA 22 4 2 A 13 NA

May be slightly off topic, but I was wondering what everyone thinks of this latest ruling against Vonage? Does anyone really know what Verizon hold patents for, and could those patents possible affect anything in Asterisk? Who knows who Verizon will go after next. Brent -------------- next part -------------- An HTML attachment was scrubbed... URL:

hello list hello dovecot network hello all the reader here is a sieve script this ######################################## require ["fileinto","regex","comparator-i;ascii-numeric","reject","relational"]; # rule:[spammanage] if header :value "ge" :comparator "i;ascii-numeric" ["X-Spam-score"] ["500"] {

...eymour <jseymour@LinxNet.com> Reply-To: postfix-users@postfix.org To: postfix-users@postfix.org Subject: Re: Stop Using relays.osirusoft.com *NOW*! jseymour@LinxNet.com (Jim Seymour) wrote: > > John Capo <jc@irbs.com> wrote: > > > [snip] > > > > Scuttlebut on NANAE is that Joe was hacked. I think the problem > > is solved for now: > [snip] > > Word I have is that scuttlebut is incorrect. Word I have is that Joe''s > done this on-purpose and that he is throwing in the towel. I just discovered the following, posted to news.admin.net...