similar to: Recommendations on nonparametric statistical inference textbooks

Hi! I'm doing one and two sample nonparametric tests for the median using wilcox test. For a one-sample test I use: > wilcox.test(x, mu =50 (or whatever), y=NULL,correct=TRUE) For two-sample test I use: > wilcox.test(x,y,correct=TRUE) The problem is when I try to duplicate problems from textbooks, I get p-values that are much different from the examples from the literature. They are

When I use wilcox.test, I get vastly different p-values than the problems from Statistics textbooks. For example: The following problem comes from "Applied Statistics and Probability for Engineers", 2nd Edition, by D. C. Montgomery. Page736, problem 14.7. The problem is to compare the sample data with a population median of 8.5. The book answer is p = 0.25, wilcox.test answer is p =

Hello I was hoping to get some advice regarding teaching R in an academic environment. What are the best choices with respect to textbooks? When this question was asked a few years back, people were primarily recommending ?Modern Applied Statistics with S? and ?Introductory Statistics with R? as two good choices. I?ve also heard some good thinks regarding ?An R Companion to Applied

The note to 1004 says "fixed for 1.3.1" Uh. No. It ain't. The problem was more serious than guessed as even the simplest testing would show. For example, Example 5.4 in Hollander and Wolfe (Nonparametric Statistical, Methods, 2nd ed., Wiley, 1999, pp. 180-181) R Version 1.3.1 (SuSE Linux 7.1) > X <-

I am trying to do a Nonparametric Tukey-type multiple comparison post-hoc test to determine which groups are significantly different. I have read the dialogue on this topic from the R-help, and am still not clear why no statistical packages include this test as an option? Is it not an appropriate test to conduct on non-normally distributed data? Is the only option to calculate it by hand

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]]

Does anyone know if any R package has a function that will conduct Hollander's test of bivariate symmetry? (Hollander, Biometrika, 1971) Either the exact test or an asymptotic version would be sufficient for my purposes. Thanks. Joe Boyer Statistical Sciences Renaissance Bldg 510, 3233-D Mail Stop RN0320 8-275-3661 cell: (610) 209-8531 [[alternative HTML version deleted]]

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())

Apologies for cross-postings. ====================================== First announcement and call for papers ====================================== The 23rd European Meeting of Statisticians will be held at Funchal, capital of the Portuguese island of Madeira, from 13-18 August 2001, under the auspices of the European Regional Committee of the Bernoulli Society. For more information see the

Hi All, I'm preparing to co-teach a class on applied MCMC using R as the computational engine in the spring. As a consequence, I'm starting to look at MCMC textbooks. Please send along your recommendations! I will collate the responses and post a summary, so please reply to me directly. Thanks, -G

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

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

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, --

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

Hi, I have seen a discussion in the R-help asking whether nonparametric manova has been implemented in R yet. This discussion is form March 2006 and there seemed to be no package or function implemented at the time. Has this changed? Is there a package that provides nonparametric manova as in McArdle and Anderson (2001) and Anderson (2001) now? Thanks, Daniel ------------------------- cuncta

I've been looking for ways to calculate a large number (100) of non-crossing Nonparametric quantile regressions on large populations (1000+). Can the quantreg package in R ensure the non-crossing property? If not, do you know any alternative? Thank you, Paulbegc -- View this message in context:

Dear All, I am using a specific approach for my master thesis. In essence, a supervised reclassification is used as an intermediate step to find chemical parameters which are able to reclassify defined groups. These variables will be used in a next step where location and scale estimators of the groups are important. Traditionally linear discriminant analysis is used for reclassification which