similar to: multivariate nonparametric regression with e >= 0

I'm doing bwplot(x ~ y | z, ...) with lattice, but would like the z-labels to appear to the *side* of each bwplot, rather than on top... is this possible? The main reason is that my bwplots are horizontal, and as such can be nicely squished in the vertical axis (big space-saver when including in papers), but the labels "get in the way", look too large in comparison, while I have

I tend to prefer doing graphics in R using the lattice library. I'm "porting" some old scripts. Is there a nice way to get in lattice the equivalent of the plot(type='h'), which is the high-density lines/histogram plot in base graphics package? I tried doing this with barchart(), but with limited success... the fact that I have ~1000 datapoints/bars causes problems, in

Hi, I am doing my PhD and I usually use SPSS however now I need to do some multivariate nonparametric tests but SPSS don?t work with this. Recently I was aware of R and I saw that is possible using the MNM pack to perform multivariate nonparametric tests. I am learning step by step how to work in R meanwhile I need to perform the multivariate nonparametric tests for my PhD and I have no idea

Dear all, i am using DGP 301 hard phone with my asterisk server. 1 : real time support is enabled .......all sip_buddies are stored in mysql database... 2: when i register my phone for first time it works fine.receives 2 ,3 calls then no call received.... hangup cause is congestion....i don't know why. 3: when i unregister or shutdown my dgp 301 hard phone .it still visible as

Dear R users, A new package titled `np' is now available from CRAN. The package implements recently developed kernel methods that seamlessly handle the mix of continuous, unordered, and ordered factor datatypes often found in applied settings. The package also allows users to create their own nonparametric/semiparametric routines using high-level function calls (via the function npksum())

Dear R users, A new package titled `np' is now available from CRAN. The package implements recently developed kernel methods that seamlessly handle the mix of continuous, unordered, and ordered factor datatypes often found in applied settings. The package also allows users to create their own nonparametric/semiparametric routines using high-level function calls (via the function npksum())

Dear all, I have a bivariate dataset from a preliminary study. I want to do two things: (1) estimate the probability density of this bivariate distribution using some nonparametric method (kernel, spline etc); (2) sample a big dataset from this bivariate distribution for a simulation study. Is there any good method or package I can use in R for my work? I don?t want parametric models like

Dear Rusers, As we all know , there are many methods to do multiple comparison in the parametric statistical analysis, But i can't find some in nonparametric statistical analysis. Could anybody give some suggestions? [[alternative HTML version deleted]]

Dear r-users, Any such a way that we can compute SPI using kernel function (nonparametric approach) without assuming any parametric distributions? Any existing package for above method using R? Thank you for your help. Fayyad [[alternative HTML version deleted]]

Well fellow R users, I throw myself on your mercy. Help me, the unworthy, satisfy my employer, the ungrateful. My feeble ramblings follow... I've searched R-Help, the R Website and done a GOOGLE without success for a one way ANOVA procedure to analyse data that are both non-normal in nature and which exhibit unequal variances and unequal sample sizes across the 4 treatment levels. My

Dear all, Does R or S-plus or any of their packages provide Non-parametric "Run test" (which tests whether a sequence of numbers might be random or not)? If yes, i'd like a numerical illustration of this test. Any response / help / comment / suggestion will be greatly appreciated. Thanks in advance. ------------------------------- Mohammad Ehsanul Karim <wildscop at

Dear R Christoph Lehmann asked about this recently- as seen at http://finzi.psych.upenn.edu/R/Rhelp02a/archive/53191.html but the reply was not detailed. Did Christoph get a solution to this? Can anyone point me toward how to do repeated measures comparison using the the friedman test or other non-parametric test? I am trying to do something similar. Any example code would be useful.

i am trying to fit a survival regression model (cox model or parametric model) in R by including the covariate effects as a function m(x) instead of just beta*x. is it possible to fit such a model? can someone recommend some reference? I searched but only found a package called addreg where the hazard is actually modeled additively. That is not what i want. [[alternative HTML version deleted]]

Hello, I tried to post this earlier, but it seems that it did not appear on the list. If you've rec'd 2 m I'm trying to calculate non-parametric probabilities using the np package and having some difficulties. OS is Windows, R version 2.11.1 Here is what I've done so far. library(np) veg <- data.frame(factor(Physiogomy), meanAnnualDepthAve, TP) attach(veg) : for

Dear Sir, I would like to ask whether there is any tool in R, developed for the function of non parametric Anova, where the non parametric analysis is able to compute the p-value for interaction as well (similar to Anova)? If not, would sir like to suggest any of the other statistical software around which would have this tool? Thank you. LYLing. ?SAVE PAPER! SAVE THE WORLD! - Please do not

Hi All, What do you consider to be the best book(reference) on nonparametric regression? I am currently reading the book of Kunio Takezawa(2006): "Introduction to nonparametric regression". Is the book of Hardle(1990): "Applied nonparametric regression" better? or maybe another book? This is off topic, but most of the books is using R or S-plus. Thanks Hennie

Sorry if this subject has been already dealt here. Which are some common tests for nonparametric k-way ANOVA? I have read about Kruskal-Wallis test as a kind of nonparametric one-way ANOVA, but I have not found anything about a general-setting (I mean k-way) nonparametric ANOVA. Can you recommend me a good R package (or other reliable software) for that? Looking forward to your answers, --

Dear UseRs: Recently, I have read an article regarding the association between age and lymph node metastases. http://jco.ascopubs.org/content/27/18/2931.long In statistical analysis, the authors stated "Because a nonlinear relationship between age and lymph node involvement was expected based on existing literature, lymph node involvement was also regressed on age using nonparametric

Hi all, I'd like to compare species richness patterns of two groups with paired observations with an extra continuous fixed effect as a covariate. Normally I would use a standard general mixed effect model for such data, with one group variable and a continuous variable as fixed effects, plus a random effect for the paired observations. However, after making such a model with the lme

Hello! For comparing two non-normally distributed samples, Leech (2002) suggested to report nonparametric effect size indices, such as Vargha & Delaney's A or Cliff's d. I tried to search the R-sites, but could not find related procedures or packages that include nonparametric effect sizes. Thank you for your help! Citation: Leech (2002). A call for greater use of nonparametric