similar to: sm library

Hello to everyone I''ve downloaded the version sm2 for smoothing methods and when I try the simple code y <- rnorm(50) sm.density(y, model = "Normal") I get the error message Error in if (any(omit)) { : missing value where logical needed I''m running R 1.1.1. on windows 98 Anybody can help? -------------- next part -------------- An HTML attachment was

I'm trying to figure out a good way to smooth binary data. The ideal approach appears to be the "sm.logit" function in library "sm", but I haven't had success with it. Below, is some code illustrating what I've come up with so far, but I'm hoping there is a better approach. I'm using R 1.2 (development) under Windows 98. -Bill library(MASS) data(birthwt)

Hi All, I am having trouble installing the sm package, and only the sm package. My box is RedHat 7.3 on a PIV. Readline 4.3-3 is installed (suited for RH 8, but same error under readline 4.2 for RH 7.3), but it seems to be looking for the readline library in the wrong directory. Will installing readline 4.1 do the trick? What else could be done? Rohan Sadler [root at rsadler R]# R CMD

RID solved my problem. But while reading docs I saw new things and I changed my smb.conf completely. I have read almost every parameter but i'm still not %100 sure. Can you do me a last favor? Please can you tell me do I have any problem with new smb.conf? Kernel: Linux 4.14.13-1-ARCH Filesystem: zfs-linux 0.7.5.4.14.13.1-1 Thank you so much for your help. --------------------- [global]

Hi R-Users, I am working with sm.ancova (in the package sm) and I have two problems with the graph, which is automatically generated when sm.ancova() is run. 1-Besides of the fitted lines, the observed data appeared automatically in the graph. I prefer that only fitted lines appear. I check the sm.options, but I could not find the way that the observed data do not appear in the graph. 2-I

Hi, there: It's my first time to post question in this forum, so thanks for your tolerance if my question is too naive. I am using a nonparametric smoothing procedure in sm package to generate smoothed survival curves for continuous covariate. I want to truncate the suvival curve and only display the part with covariate value between 0 and 7. The following is the code I wrote:

Dear all, Does anybody know how to get more evaluation points in performing Nonparametric analysis of repeated measurements data with "sm" library. The following command gives the estimation for 50 points, by I would like to increase to 100 points But I do not know how to do that. library(sm) provide.data(citrate, options=list(describe=FALSE)) provide.data(dogs,

I am running the sm.density.compare function amd I am getting the following error:   my code is  > sm.density.compare(LBSTRESN,COHORT,xlab="Units = umol/L"subset = LBTEST=="Creatinine")   Error in if (from == to) rep.int(from, length.out) else as.vector(c(from,  :   missing value where TRUE/FALSE needed   I do not understand the error and I have had no help when searching

Hi all, I was looking for a non parametric survival analysis and I came up with the following sample from the web. However, I could not run it. Which library or function does "sm.regression" require? x <- runif(100,-2, 2) y <- x^2 + rnorm(50) sm.regression(x, y, h=0.5) Error: could not find function "sm.regression" Thanks Val [[alternative HTML version deleted]]

Colleagues ---------------------------------- System info: R version rw1020 on NT ESS using emacs ver. 20.4 ~/.emacs ; Default function template (setq ess-insert-function-templates t) ---------------------------------- When loading a new function into the R workspace using ctrl-CD I would like the default function template to come up, rather than a blank buffer. I thought I had the Default

Dear all, Let say I have a sets of numbers: rno1 = rnorm(1000) rno2 = rnorm(1000) If I write request as follow: sm.density.compare (rno, rno3, xfit=min(rno), max(rno2)) why I receive a lot of curves in my plot, while I have only two data sets? regards Przemek -- View this message in context: http://r.789695.n4.nabble.com/sm-density-compare-a-lot-of-curves-tp4253039p4253039.html Sent from the

Package: xcp-xapi Version: 1.3.2-6 Severity: normal Tags: upstream /usr/lib/xcp/bin/xe-edit-bootloader failing with following message: /usr/lib/xcp/bin/xe-edit-bootloader -u 19f66083-e776-70d1-1808-3712688ad138 Creating dom0 VBD: 0fdb952e-92ff-4b53-dd49-8d54b2268787 Plugging VBD: Waiting for /dev/sm/backend/4c15ea03-5d70-938e-8265-d5424c0fda5e/963afb9a-9ceb-410f-8554-8be9fb70e7e0: . done

Hi, I am doing kernel density plots, and am trying to make the lines thicker. I comparing three groups, in sm.density.compare. I tried changing lwd to make the line sthicker right on the density compare call, but was not able to do it. There is not an option in sm.options to specify line thickness, as well as cex.ylab or cex.xlab- I tried it and it does not change the thickness of the lines.

Starting up sendmail I get: Starting sm-client: can not chdir(/var/spool/clientmqueue/): Permission denied Program mode requires special privileges, e.g., root or TrustedUser. I assume the user used for sm-client is smmsp. However, that user has /var/spool/mqueue as homedir and I added him to the trusted users list. FYI, that user has disabled login (which should be okay) and the group has a

Dear all, Is there a way to plot / calculate pointwise confidence bands or interval values for a non parametric regression like sm.regression? Thank you in advance. Regards, Martin

Package: xcp-storage-managers Version: 0.1.1-3 Severity: normal This was already reported in the archived bug 691805 but I sent an e-mail and I received back permanent delivery failure because this bugs has been archieved. Still the path of "pidof" in the file /usr/lib/xcp/sm/iscsilib.py is wrong on Wheezy. It should be /bin/pidof instead of /sbin/pidof root at xcpcompute2:~# cat

Hi R-users, Does R has a topic on newton's method? Thank you for the info.

Estimada comunidad, nuevamente con algo que no se como hacer en R, pero aprendiendo .... El problema es el siguiente: 1. tengo un conjunto de 10 mil datos (n) cuyo valor va entre 0 y 10.000 a los que aplico una funcion sm.density() para obtener una especie de histograma pero con una curva que parece continua. 2. Una vez que obtengo esa curva necesito calcular el area bajo la curva en ciertos

Dear fellows, The two questions are on sm.density.compare(). I compare kernel density estimates of two arrays of data. I'd like to scale up y-axis so that I can show better the differences in y values. English is not my first language so I'll try to explain it. I would like to stretch y-axis a bit longer but not to change the range of y values. How can I do this? Second, I'm

Hi, I'm using R 1001 for Windows NT and the sm library. I'm trying to create plots for my data set like Bowman and Azzalini have in Figure 1.8 (p. 9) of their book for my data (i.e. a contour plot for each group in my data set and its all plotted on 1 plot). The problem I'm having is that R is not drawing closed contour lines for each group. Sometimes it does; other times it