similar to: Query on finding root

On Fri, 25 Aug 2023 22:17:05 +0530 ASHLIN VARKEY <ashlinvarkey at gmail.com> wrote: > Sir, Please note that r-help is a mailing list, not a knight! ?? > I want to solve the equation Q(u)=mean, where Q(u) represents the > quantile function. Here my Q(u)=(c*u^lamda1)/((1-u)^lamda2), which is > the quantile function of Davies (Power-pareto) distribution. Hence I > want to

Hi all, I am a bit mystified by this error message that I get when I try to apply lmer() to a simple dataset with one between factor (age) and one within factor (item): "$ operator is invalid for atomic vectors" I'll just provide the code, because I don't see where the problem is: library(lme4) options(contrasts=c("contr.helmert","contr.poly")) data =

In R factanal output, I can't find a function to give me residuals e. I mannually got it by using x -lamda1*f1 -lamda2*f2 - ... -lamdan*fn, but the e I got are not uncorrelated with all the f's. What did I do wrong? Please help. Yijun ____________________________________________________________________________________ Be a better friend, newshound, and

Dear: Continuing the issue of 'ifelse'! I selecting the data whose 'x2'=1 for maximizing likelihood. I used two way to do this but the results are different. 1.Way one I use the data for x2=1 and run the program. It works for me. Tthe program is described as below: function (parameters,y1,x11) { p<-parameters[1] alpha1<-parameters[2] beta1<-parameters[3]

i want to estimate parameters with maximum likelihood method with contraints (contant numbers). for example sum(Ai)=0 and sum(Bi)=0 i have done it without the constraints but i realised that i have to use the contraints. Without constraints(just a part-not complete): skellamreg_LL=function(parameters,z,design) { n=length(z); mu=parameters[1]; H=parameters[2]; Apar=parameters[3:10];

Hi all, I am running on Windows XP sp2 with ruby 1.8.6, and rails 1.2.3 I am using REST, and have this in my view <% form_for(:project, :url => project_path(:user_id => @project.my_user, :id => @project), :html => {:method => :put}) do |f| %> The browser correctly gives <form method="post" action="/users/2/projects/1">

Hi guy, I have recently encountered a problem while I was just trying to generate some random numbers with the function "rnorm", the problem is shown below: ########case 1############ > rnorm(20*0.2) [1] -1.2765922 -0.5732654 -1.2246126 -0.4734006 ########case 2########### *> rnorm(20*(1-0.8)) [1] -0.62036668 0.04211587 -0.91092165* #########case 3############ > a<-0.2 >

I am trying to assist a client who need a compiled version of Samba 1.9 for his SCO ODT 3.2 v4.2 environment. We are trying to connect an old version of DataFlex on SCO and need the bridge. Anybody have an old compiled version? Thanks Paul Davis Sr. Business Development Manager CONNX Solutions - www.connx.com<http://www.connx.com/> Direct - (425) 519-6670 Mobile - (425) 269-3956

Hi, I would like to emphasize ("zoom") the zone of a nomogram where the probability are > 0.01 (nomogram built with nomogram, Design). As a consequence, I don't need to draw the part of the "Total points" axis with score < 60 equivalent in my case to a linear predictor < 4.5 - As far as I know, this is not possible with the arguments of the function. - Changing

I just noticed this behavior of plot(). If you combine: log="y", with type ="s", specify ylim, AND have plotting points outside of ylim, then the R process hangs. For example: plot(1:10,seq(0.0001,1,length=10),ylim=c(0.01,1),type="s",log="y") It will also hang if the original plot() command did not specify ylim, but a subsequent

I'm wondering if there is a simple way to assign a quantile to a vector in a data frame, much like one could in Stata using centile. Let's say I want 100 slices in my assignation. I can easily see what the limits of each slice by using quantile: quantile(my.df$my.var, probs=seq(0, 1, 0.01)) But how do I assign the appropriate value to each row/record in my data frame? Clearly the

Hi R User, I was trying to use R for WINBUGS using following model and data (example), but I am new with WINBUGS and don't know how we perform the analysis. I wonder whether I can run the following the example data and Winbugs Model in R. Your help will be highly appreciated. Sincerely, SN PANDIT === library(R2WinBUGS) #Model model{ #likelihood for(i in 1:N){ a1[i] ~ dnorm(a11[i],tau)

Hi R User, I was trying to use R for WINBUGS using following model and data (example), but I am new with WINBUGS and don't know how we perform the analysis. I wonder whether I can run the following the example data and Winbugs Model in R. Your help will be highly appreciated. Sincerely, SN PANDIT === library(R2WinBUGS) #Model model{ #likelihood for(i in 1:N){ a1[i] ~ dnorm(a11[i],tau)

Similar to how `operator new(size)` can be overridden during linking, to capture and customize all memory allocation operations, I'd like to be able to capture all scenarios where memory is copied or moved. I've tried to use `--wrap memcpy` with some success, however I've noticed that in some instances (e.g. copying a small struct) the memcpy instruction in the IR is replaced with a

Much thanks to all respondents. Since 1.9 is a very old version, I have the source code but am looking (close to begging) for someone who has a compiler to create an executable for me. I would be glad to send along the source , if you could compile and return an executable. This is the better request than to ask someone for their compiler. Thank you Paul Davis Sr. Business Development Manager