similar to: change in output wording causes make check to fail

Hi there Thank you for everyone's help in all my previous questions. By way of intro, I am a masters student in actuarial science at the University of Cape Town, and I am doing a project in R on some healthcare cost data. Just for clarity before I embark on further research may I please ask the following. I want to take the direction of modelling healh insurance claims data with Tweedie

Dear colleague: Actually that is what is done. When using the z-test between proportions in two different groups, or using chi-squared to test the null hypothesis of equal proportions of two or more groups, the null hypothesis is that H0: p1=p2=p3.....=p where this p is the pooled proportion, the proportion in the summed groups = n1+n2+n3+..../N1+N2+N3.... in the z-test between two

Hi, Who should I ask about my package Rigroup_0.83 being moved to Archive status on CRAN and no longer available via install.package? I have no problems with the move if this was simply because of low demand. However, if there was a build issue with the newest releases that caused problems, I would be happy to address it. I'll just ask my students to install it from my own locally hosted

I have run a t.test in R, and received these results: Two Sample t-test data: rsa and umple t = 0.9819, df = 10, p-value = 0.3493 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -76.1541 196.1541 sample estimates: mean of x mean of y 508.3333 448.3333 Can someone give me a detailed interpretation of the above results? Specifically,

Dear all, The 'make check' step fails for the pacakge mva on IBM AIX. The tail of the Rout log file looks like: > for(factors in 2:4) print(update(Harman23.FA, factors = factors)) Call: factanal(factors = factors, covmat = Harman23.cor) Uniquenesses: height arm.span forearm lower.leg weight 0.170 0.107 0.166

Hi, If I set the p.adjust="none", does it meant that the output p values from the pairwise.t.test will be the same as those from individual t.tests (set var.equal=T, alternative="t")? I actually got different p values from the two tests. See below. Is it supposed to be this way? Thanks Johnny > x [1] 61.6 52.7 61.3 65.2 62.8 63.7 64.8 58.7 44.9 57.0 64.3 55.1 50.0 41.0

Hi! I''m a very-very new Ruby-on-Rails user even if I have some experience with other Languages (mostly PHP, so this is my first real object-oriented language) My problem, newbie-ish as it is, is the following: I have a model, Article, that returns Articles from the DB. Now, when a certain field of the model (the intro text) contains no data, I want to fill it with a truncated

[Env: Tested under Win Xp, R 2.9.2 and R 2.10.1; sessionInfo() at end] I've run into a problem with the heplot3d() function in my heplots package which causes the R GUI to crash ('R for Windows GUI encountered a problem and needs to close...'). I think the problem comes from an rgl call, but, I can't get a traceback or other information because my R session crashes. I've

Full_Name: Patrick Hodgson Version: 2.0 OS: solaris 2.9 Submission from: (NULL) (65.94.128.161) The value reported for the parameter W in the function wilcox.exact appears to be incorrect. I have checked the reference in the help file for this function (Myles & Hollander 1973, as well as 2nd ed. 1999 by same authors) and it is clear that W is the sum of the ranks of the data set with the

Hi, I have a little problem that puzzles me about contradictory results returned by a bootstraped t-test (as in MASS 3rd ed p. 146) versus a permutation t-test (as in MASS 3rd ed, p 147). Data are measurements done on 100 cells in 9 slides of fish blood. With one method, cells are randomly sampled, and with the other method, the operator selects cells arbitrarily (in a way it is done usually

# Hi all: #I got a vector with fish lengths(mm) # Can someone help me interpret the output of # a t.test in plain english? # Based on the t.test below I can say that # I reject the null hypothesis because # the p-value is smaller than the the significance # level(alpha=0.05). What else can I conclude here? Ho = 36 mm Ha <> 36 mm fishlength

I'm hoping someone can help me figure this problem out. It's been bugginng me for quite a while. First, basic specs: 8.04 Kubuntu x86 64 bit system. Nvidia 9600 GT video card 2GB RAM Wine version 1.1.10 I've been running wine for several years, so it's distinctly possible that I've got some leftover configuration information that's messing me up. I've tried

Peter Dalgaard writes (in response to a question about 2-way ANOVA with imbalance): > ... There are various > boneheaded ways in which people try to use to assign some kind of > SumSq to main effects in the presence of interaction, and they are all > wrong - although maybe not very wrong if the unbalance is slight. People keep saying this

Hi, Given test <- matrix(c(1, 1,2,2), 2,2) t <- apply(test, 1, t.test) How can I obtain a table of p-values, confidence interval etc, instead of [[1]] One Sample t-test data: newX[, i] t = 3, df = 1, p-value = 0.2048 alternative hypothesis: true mean is not equal to 0 95 percent confidence interval: -4.853102 7.853102 sample estimates: mean of x 1.5 [[2]]

Hello. I am still a newbie in R. Excuse me if I am asking something obvious. My efforts to get an answer through browsing the mailing archives failed. I want to perform an augmented Dickey-Fuller test and to obtain AIC and BIC and to be able to impose some linear restrictions on the ADF regression so as to decide the correct order of autoregression. However I could find no obvious way to impose

hi there, i have a few questions about the correct interpretation of a paired t-test. (i don't think that this matters, but I'm using R 2.10.1 on Windows). to my questions: i've been using a lot of time about this minor concerns now and I hope you can help me... I use one- and two-sided t-tests. My questons are on one side about how R uses the hypothesis' and the second one

Hi everybody, while performing ks.test for a standard exponential distribution on samples of dimension 2500, generated everytime as new, i had this strange behaviour: >data<-rexp(2500,0.4) >ks.test(data,"pexp",0.4) One-sample Kolmogorov-Smirnov test data: data D = 0.0147, p-value = 0.6549 alternative hypothesis: two.sided >data<-rexp(2500,0.4)

I tested it this morning and here are my findings: 1) The Intro tag causes Real Player to give an error that the stream "contains unexpected data and may be corrupt". It does not play with the Intro tag in the mount point. If I remove the Intro tag the stream plays, and, the Real Player noise caused by meta-data is gone and the meta-data updates work. 2) The Intro plays in iTunes and

Hello, we've got a Problem with our Samba-Fileserver. Shortly I installed Samba 2.2.5 compiled under Solaris 8 with gcc version 2.95.2 19991024 (release). We have some NT-Servers using Windows NT4 Terminal Server Edition. And there are round about 70 Users per Server using them. Now my Problem: Everything works fine until one Client opens the 129th Connection to the Samba-Server. The

Hello, Here are some patches for R-intro.texi, to correct various typos, missing words, and minor inconsistencies in formatting. Each patch is preceeded by its corresponding 'wdiff' output to make it easier to see which words have changed. -- Brian Gough Network Theory Ltd, Publishing the R Reference Manuals --- http://www.network-theory.co.uk/R/