similar to: Graphics for proportion within factor

Hello, BODY { font-family:Arial, Helvetica, sans-serif;font-size:12px; } Does any one know if there are any functions/packages available in R for robust fitting of ARMA time series models (e.g., similar to the function arima.rob() in S-PLUS)? Many thanks and kind regards, Isabella Isabella R. Ghement, Ph.D. Ghement Statistical Consulting Company 301-7031 Blundell Road,

Dear R-help, I would like to compute the variance for the proportion of treatment effect by a surrogate in a survival model (Lin, Fleming, and De Gruttola 1997 in Statistics in Medicine). The paper mentioned that the covariance matrix matches that of the covariance matrix estimator for the marginal hazard modelling of multiple events data (Wei, Lin, and Weissfeld 1989 JASA), and is implemented

Greetings. I'm getting started learning R, and I'm trying to reproduce some models I've done previously in SAS. I'm trying to fit simple Poisson regressions, and I keep getting impossible results: the models predict negative numbers of cases for many observations. The code for the models are: Female.model <- glm(Observed ~ Black + Other, family = poisson(link=log),

>At this point I'm able to link Linux kernel with LLD and objcopy doen't give me any errors. > >The versions are: > >Linux 4.10.0-rc5 (+ applied the patch from my previous message) >LLD 5.0.0 (https://github.com/llvm-mirror/lld db83a5cc3968b3aac1dbe3270190bd3282862e74) (+ applied D28612) >GNU objcopy (GNU Binutils) 2.27 > >The problem is that the resulting

In iteration D.1 on page 109 I am not getting a styled error message box displayed at the top of the checkout as described in the tutorial and I cannot seem to discover where I have erred. The scaffold.css is copied from the pragmatic programmers site: #-------------------------------------------------------------------- $ cat public/stylesheets/scaffold.css body { background-color: #fff;

Dear R community, I have one problem with figures. I draw the Relative Distribution graph, it looks like barchart(X,Y plot), but I have ten(year) Relative Distribution grapgs, have any command am can combine ten barcharts(X,Y plot) to become a three dimensions barchart(X,Y,Z plot)? All help highly appreciated Best, Yichih One Relative Distribution graph:

<font face="Verdana,Arial,Helvetica,sans-serif" size="2"><div><div><div style="box-sizing: inherit;"><font face="Verdana, Arial, Helvetica, sans-serif" size="2" style="box-sizing: inherit;">Hi,</font></div><div style="box-sizing: inherit;"><font face="Verdana, Arial,

>Thank you! It worked and I finally got a working kernel. Here is the kernel boot log: Sound great ! Though I ended with error from log below. Had no chance to fix it yet: ? CPU: AMD QEMU Virtual CPU version 2.5+ (family: 0x6, model: 0x6, stepping: 0x3) Performance Events: PMU not available due to virtualization, using software events only. ..TIMER: vector=0x30 apic1=0 pin1=2 apic2=-1

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Why the output is different for this below program when compiled using clang with fast-math optimization #include<stdio.h> int main() { double d = 1.0; double max = 1.79769e+308; d /= max; printf("d:%e:\n", d); d *= max; printf("d:%e:\n", d); return 0; } prints 0 with fast math but 1 without fast math. -------------- next part -------------- An

BODY { font-family:Arial, Helvetica, sans-serif;font-size:12px; }I can't seem to perform an install from CRAN (stat.sfu.ca, specifically) for Ubuntu 64 8.1 (Intrepid) and 2.8.2 of R. Here is the log: Looks like some dependencies cannot be satisfied. Suggestions? Thanks in advance. sudo apt-get install r-base Reading package lists... Done Building dependency tree Reading state

<font face="Default Sans Serif,Verdana,Arial,Helvetica,sans-serif" size="2"> <div>Thanks Aki,</div><div><br></div><div>do you know if this list is read by dovecot developers team too? Could you point me to the right list otherwise?</div> <div><br><br>Raffaele

Please let me know your interest in following. Location: Columbia, SC Duration: 12 months+ Rate: $65/hr 1099/c2c Required Skills: RUBY, RAILS, GIT, MYSQL, CUCUMBER, RSPEC, JQUERY, EXCELLENT ORAL AND WRITTEN COMMUNICATION SKILLS, TEST-DRIVEN DEVELOPMENT, LINUX, OS X, JSON, COMMAND LINE, SQL, SSH, HAML, SCSS Thanks Sandeep Sandeep Jain Software People Inc. www.softwarepeople.us

In an early section on Action View, showing code being put directly into the rhtml file: <% require ''date'' DAY_NAMES = %w{ Sunday Monday Tuesday Wednesday Thursday Friday Saturday } today = Date.today %> <h1>Hello, Dave</h1> <p> It''s <%= DAY_NAMES[today.wday] %>. Tomorrow is <%= DAY_NAMES[(today + 1).wday %>. </p> I get this

Dear all, This question is basic but I am stumped. After running the below, I receive the message: "non-integer #successes in a binomial glm!" model1 <- glmmML(y~Brood.Size*Density+Date.Placed+Species+Placed.Emerging+Year+rate.of.parperplot, data = data, cluster= data$Patch, family=binomial(link="logit")) My response variable is sex ratio, and I have learned quickly not

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Greetings. I'm trying to recreate in R some regression models I've done in SAS, but I'm not getting the same results. My advisor suspects this may be due to differences in precision between R and SAS. Does anyone know where I can find specifications for R's type double? (It doesn't seem to be in the R Language Definition.) Thanks in advance for any help anyone can

<font face="Verdana,Arial,Helvetica,sans-serif" size="2"> <span><div>Hi,<br>There was a mention of optimizing away C++ dynamic_casts in LTO in this presentation: <a href="https://www.youtube.com/watch?v=Fd3afoM3UOE&t=1306" target="_blank">https://www.youtube.com/watch?v=Fd3afoM3UOE&t=1306</a><br>I

Hi All, How does one create a cron job that runs commands like: /usr/local/awstats/wwwroot/cgi-bin/awstats.pl -config=xxx.com -update /usr/local/awstats/wwwroot/cgi-bin/awstats.pl -config=yyy.com -update Say every 15 mins? -Jason

Hello I'm trying to make survival curves for some longevity data - 100 males and 100 females, some of which are still living (not dead at the end of survey) I would like to make sex specific survival curves as time on the X axis, proportion alive on the Y, and a line for each sex (two lines) Data looks like this: Focal DOB DOD Longevity Sex 1 89-04-20 na