similar to: Cox with time varying effect

I'm having issues when trying to do a filled State plot using the maps() package. It seems that the color values aren't being plotted correctly, and I'm not sure why... I've started debugging it, but I'm stuck. I've attached the code that I've got so far. The for loop plots states 1:i. What I'm noticing is that the colors are correct until after Michigan gets

Dear All,   #I have the following code   Dose<-1000 Tinf <-0.5 INTERVAL <-8 TIME8 <-matrix(c((0*INTERVAL):(1*INTERVAL))) TIME7 <-matrix(c((0*INTERVAL):(2*INTERVAL))) TIME6 <-matrix(c((0*INTERVAL):(3*INTERVAL))) TIME5 <-matrix(c((0*INTERVAL):(4*INTERVAL))) TIME4 <-matrix(c((0*INTERVAL):(5*INTERVAL))) TIME3 <-matrix(c((0*INTERVAL):(6*INTERVAL))) TIME2

Hello, I am trying to make a plot of the rates of an enzyme against three different protein concentrations (there are 45 rates in total and split up into 3 groups of 15, each receiving one of the 3 protein concentrations). When I enter the following code I instead get 3 separate boxplots for each of the three different protein concentrations ... plot(rate ~ ferm, data=LDH, col=LDH$rate,

I've been attempting to understand the one-sample run test for randomness. I've found run.test{tseries} and run.test{lawstat}. Both use a large sample approximation for distribution of the total number of runs in a sample of n1 observations of one type and n2 observations of another type. I've been unable to find R code to generate the exact distribution and would like to see how

Dear all, d, d=1,...,10 is a day, h, h=1,...,24 is an hour and tt_dh(1),tt_dh(2),... is the arrival time of the 1st, 2nd etc client on day d during hour h. How can I make a double-indexed list ldh (indices are d and h) such that ldh[[d,h]] gives me arrival times? Many thanks, Remi [[alternative HTML version deleted]]

Dear R Masters, I'm an anesthesiology resident trying to make his way through basic statistics. Recently I have been confronted with longitudinal data in a treatment vs. control analysis. My dataframe is in the form of: subj | group | baseline | time | outcome (long) or subj | group | baseline | time1 |...| time6 | (wide) The measured variable is a continuous one. The null hypothesis in

https://bugzilla.mindrot.org/show_bug.cgi?id=3137 Bug ID: 3137 Summary: -f keeps stdin and stderr open Product: Portable OpenSSH Version: 8.2p1 Hardware: All OS: All Status: NEW Severity: normal Priority: P5 Component: ssh Assignee: unassigned-bugs at mindrot.org

Hola, El mensaje es claro: el modelo svmfit no existe, tú has llamado al ajuste ?modelo?. De todas formas, aparte de eso tendrías que especificar qué dimensiones (variables predictivas) quieres representar. Si miras en la ayuda de ?plot.svm lo tienes explicado. Esto sí funcionaría: plot(modelo,df11, LDH ~ INL ) Gracias por proporcionar el código y los datos para poder reproducir el error. Un

I have 100+ .csv files which have the basic format: > test X Substance1 Substance2 Substance3 Substance4 Substance5 1 Time1 10 0 0 0 0 2 Time2 9 5 0 0 0 3 Time3 8 10 1 0 0 4 Time4 7 20 2 1 0 5 Time5

Hi there. I am receiving an unexpected error message when creating a new distribution for the survreg() function in the survival package. I understand the survival.distributions() function and have been following the Cauchy example provided in the help file. My goal is to use survreg to fit a gamma distribution to interval censored data. Here is a simple example of what I'm trying to do.

# Peter B. Mandeville kindly offered to send me code for Hotelling's T^2 # Test. Unfortunately there seems to be no route to his machine. # So i'm trying to reach him via the Mailing List. ------------------------------------------------------------------------ Sir, this morning i recieved your message about the availability of the code for Hotelling's Test. I hurried to find out

>> You found it. The SHL32 (not SHR32) line fixes the problem. It must be >> doing a 16-bit shift, then extending the result (which is reasonable). >> As >> it happens, that it the same macro which gave us trouble last May >> (25th/26th), when the C55 build was more subtlely broken. > > Yes, that's what I finally remembered. I think I've fixed all

Debuggers, I wrote to r-help about this and was appropriately told off by Peter Dalgaard. I append that mail in case you have not seen it. Following Peter's advice I have attempted to simplify the problem. First note that the following does *not* fail (by which I mean crash, as in generate a memory access violation): > tmp<-matrix(c(1,0,0,1,1,1),2,3) >

This message is in MIME format. The first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. Send mail to mime@docserver.cac.washington.edu for more info. --1133331701-635408861-993124011=:10449 Content-Type: TEXT/PLAIN; charset=US-ASCII I'm not sure if the warning messages Warning messages: 1: variable 67 is not a factor in:

Estimados En este modelo no puedo hacer el plot(svmfit,df11 ) #AQUI NO TRABAJA Le adjunto Excel library(readxl) df11 attach(df11) df11$fallecido=factor(df11$fallecido) # Selección de una submuestra del 70% de los datos set.seed(101) tamano.total <- nrow(df11) tamano.entreno <- round(tamano.total*0.7) datos.indices <- sample(1:tamano.total , size=tamano.entreno) datos.entreno <-

I am setting up W7 profiles following the "Samba & Windows Profiles" on the Sambawiki. If it matters, I have two functional DC's and one member server. When I run '# chmod 1770 /srv/samba/profiles' (on the member server) the permissions changed to: root at mbr01:~# ls -alh /srv/samba/profiles total 12K drwxrwx--T+ 2 root root 4.0K Mar 1 10:21 . drwxr-xr-t 5 root

> You found it. The SHL32 (not SHR32) line fixes the problem. It must be > doing a 16-bit shift, then extending the result (which is reasonable). As > it happens, that it the same macro which gave us trouble last May > (25th/26th), when the C55 build was more subtlely broken. Yes, that's what I finally remembered. I think I've fixed all occurrences (by adding EXTEND32)

Hola compañeros de la lista. Tengo el siguiente set de datos: Repeticiones <- c(rep("RI", 14), rep("RII", 14), rep("RIII", 14)) Tiempo <- rep(c(0, 2, 4, 6, 8, 10, 12, 24, 36, 48, 60, 72, 96, 120), 3) Concentracion_celular <- c(0.4862, 0.5375, 0.4309, 0.4390, 0.4603, 0.4733, 0.3936, 0.9085, 0.5838, 0.5477, 0.6331, 0.8693, 1.0092, 0.6341, 0.5350,

Tim, On 22 November 2019 at 12:03, Tim Head wrote: | One language we support is R. We let people choose which version they need | and because we are based on Ubuntu we use the packages provided on | https://cran.r-project.org/bin/linux/ubuntu/README.html to install R 3.5 | and 3.6 (R 3.4 comes as part of Ubuntu bionic). Hm, I will be frank. I am a little surprised that ever worked. We offer -

I use tdbsam . I use pdbedit -P "password hisotry" -C 3 pdbedit -P "min password length" -C 5 -P "maximum password age" -C 7776000 (90 days) -P "minimum password age" -C 6912000 (80 days) -P "user must logon to change password" -C 2 (on) So my passwords need to be changed every 90 days and user can change it after 80