similar to: sm.density.compare

Dear Colleagues   I have the following code that generates a boxplot for one specific labtest:   boxplot.n(LBSTRESN~COHORT, main="Boxplot of laboratory data for XLXXX-XXX test=Creatinine", subset = LBTEST=="Creatinine", xlab = "Cohort Number", ylab = "Units = umol/L", varwidth=TRUE   I would like to know if there is a way to loop through the dataset and

Dear friends. I wanted to reproduce a sheet of paper useful for plotting the reciprocal of some biochemical variable (creatinine) over time (Bleyer Am J Kidney Dis 34:576-578,1999). Time on X axis with units years and months. On Y axis, 1/creatinine, but with the original creatinine value indicated - to make it easier for people to use it. When using the graph, the linear decrease in 1/crea over

Thank you to Peter Dalgaard, who provided help for some of this solution. It is still not ideal since the dots which are equidistant in the x-direction ideally should respect the reciprocal scale in the y-direction. op <- par("cex"= 0.7) x<-y<-NA plot(x,y,xlim=c(0,10),ylim=1/c(2000,70), axes=F) box() axis(1)

I am running a BUGS function with following   schools.sim <-bugs(data,inits,                              parameters,                              model.file="schools.txt",                              n.chains=3,                              n.iter=1000,                              bugs.directory="E:/Rprograms")   My model.file IS in the directory

I've been using the sm.denstiy.compare function and would like to know some specifics: a) What kind of bootstrap sampling is used, with or without replacement? b) A p-value is returned after running the following script (for example): library(sm) y <- rnorm(100) g <- rep(1:2, rep(50,2)) sm.density.compare(y, g, model="equal") to what statistic does this p-value correspond?

Often, when exploring a dataset, I'd like to plot several very different Y variables against the same X variable, in panels stacked one over the other. Is there an easy way to do this? I'd like to achieve an elegant look similar to the look achieved by lattice in conditioned plots--for instance no space between panels. But unlike in straightforward conditioned plot, each panel may be on a

Is there absolutelu no (unofficial) way to detect whether a programm is running using Wine? In this way a programm could decide to use other routines for those features that do not work fine using Wine.

Hi all, I have a question about multiple imputation within the MICE package. I want to use passive imputation for my variable called X, because it is calculated out of multiple variables, namely Y, Z. Let's give an example with BMI. I know, that if I want to use passive imputation for BMI, I can use the following command: meth["BMI"] <- "~I(weight/(height/100)^2)"

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:

Hello, I have a sequence of numbers: seq(1:50) and I would like to have all the possible combinations with this numbers without repeating any combination: 11, 12, 13, ... ,22,23,24,... How can I do it? Best, Dani -- Daniel Valverde Saub? Grup de Biologia Molecular de Llevats Facultat de Veterin?ria de la Universitat Aut?noma de Barcelona Edifici V, Campus UAB 08193 Cerdanyola del Vall?s-

Hello to everyone Does someone know where is the bug in sm.logit function in sm library? The estimated probabilities are always 1/2 I'm new to this list, so I don't know if this list is about this kind of things. Sorry for my english, and thanks in advance Oscar -------------- next part -------------- An HTML attachment was scrubbed... URL:

Is it possible to generate a density plot comparing several (6 or 7) groups of data and have the x-axis in date format (e.g.: "%d%b", 10Mar)? When I try to input the data in date format I get an error saying "this function only allows 1-d data". Thank you, Claudia [[alternative HTML version deleted]]

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

Dear R users, I used sm.density function in the sm package and kde2d() in the MASS package to estimate the bivariate density. Then I calculated the Kullback leibler divergence meassure between a distribution and the each of the estimated densities, but the asnwers are different. Is there any difference between the kde2d and sm.density estimates? if there is a difference, then which is the best

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

hi, I want develop a cli cmd to create snapshot, but glusterd op sm & hook looks complex, Are there development guides or docs about cli & glusterd backend process? Thanks. --terrs

Dear List, I have been trying to use library sm to do density estimation on a 3D dataset. I am using the current MacOS X binary of sm from CRAN. If I do this on a 2D dataset, sm.density returns a list including the component "estimate" which contains the density estimate over a uniform grid. When doing this with 3D data, although I get a nice plot (even when I don't ask for one),

Has Bowman and Azzalini's sm library been ported to R yet (goes with Appied smoothing techniques for data analysis book)? I had a quick go but got tied up at a silly stage of ignorance caused I think (?hope) because I have never seriously used S+ at all. Rather than waste time, perhaps some kind soul has already done it. \John

Hello, since I'm a KDE user I've found that the "--sm-disable". Doesn't work properly on KDE. In fact, also when I manually launch compiz using the "--sm-disable" flag, on next KDE resart KSMserver (KDE session manager, that in my system is configured to resume the previous session) tries to relaunch compiz with the parameters I used on previous session, and this

Hi, When I try to integrate compiz into the Gnome startup process and pass a relevent --sm-client-id value, it seems (not got 100% proof yet) that compiz hangs the login. This used to work perfectly, but I'm just wondering if there is a current issue with this? Thanks for any input. Col