similar to: Oddities with RSiteSearch?

I tried to search for a string of words ``as one entity'' following the example in the help file: > RSiteSearch("{logistic regression}") and got the error message: 2008-09-11 08:55:41.356 open[823] No such file: /Users/rturner/http:/ search.r-project.org/cgi-bin/namazu.cgi?query={logistic+regression}

First, my site will be down December 27-28 because of a network upgrade at Penn. It will also be down at least one day before that, while I upgrade the operating system. (And another day some time in January because of a planned power outage.) Second, I have replaced the search engine in my R site: http://finzi.psych.upenn.edu/ I am now using Namazu instead of HtDig. The direct link to the

Dear list, For all those interested who use Firefox as the main browser, here is a quick way to make R related searches: type "about:config" in the address bar search for "keyword.url" and modify it to "http://finzi.psych.upenn.edu/cgi-bin/namazu.cgi?idxname=functions&idxname=docs&idxname=Rhelp02a&query=" >From now on, every keyword(s) you type in

On 9/8/2016 5:01 AM, Jonathan Baron wrote: > OK. It is sort of fixed and sort of works. > > We'll keep it for now, but this is not going to work forever. When > namazu fails completely I will not have the time to install a new > search engine. > > One option is to use google. For a site like this, I think they will > want some money, but I'm not sure, and I do not

Unfortunately, I am unable to get this search site working again. (The message below explains why I had to rebuild it.) The computer worked for the better part of a day downloading and installing all the help files from all CRAN packages. Somehow it failed to get the vignettes this time. But I pushed ahead and ran the part of namazu that makes the search indices: mknmz. And you can see the

I looked at rdocumentation.org. At first I thought it was a superior replacement for namazu, but after I tried a few things I decided that it wasn't. I could not find any documentation about how to search, and the various things I tried seemed to yield very strange responses, e.g., a search for "Hayes mediation bootstrap" gave me mostly functions that had nothing to do with the

On 8 September 2016 at 06:01, Jonathan Baron wrote: | We have over 10,000 packages now. I wonder if searching all help files | is really helpful anymore. Yes it is. I go to http://rdocumentation.org a lot for quick look-ups. So thanks to Datacamp for running that. Dirk -- http://dirk.eddelbuettel.com | @eddelbuettel | edd at debian.org

Dear R user, I am working with LOO. Can any one who is working with leave one out cross validation (LOO) could send me the code? Thanks in advance Alex [[alternative HTML version deleted]]

I'm trying to get R to simulate the sum of the values on 10 fair dice (yes, it's related to a homework problem, but is not the problem itself). I tried to do this: > rep(sum(sample(1:6,100,replace=T)), times=10) [1] 341 341 341 341 341 341 341 341 341 341 and noticed that sum(sample()) seems to be only evaluated once. How can I overcome this, so that I get a vector of values that

In Henric's recent post, he included this output: @BOOK{R:Harrell:2001, AUTHOR = {Frank E. Harrell}, TITLE = {Regression Modeling Strategies, with Applications to Linear Models, Survival Analysis and Logistic Regression}, PUBLISHER = {Springer}, YEAR = 2001, NOTE = {ISBN 0-387-95232-2}, URL =

Hello 'R' Users, I am very new on 'R', so excuse me if I ask something wrong. I have ASCII data and the colums of the data are looks like :- !------------------------- time,yr,mo,dy,hr,min,sec,lat,lon,ht,co2obs,sigma,co2model -- - -- !---------------------------- Each column has data value. Now I want to produce 2-d color maps, for example the plot should look like :- on

I'm trying to replicate some of the examples from my textbook in R (my text uses Minitab). In this problem, I'm trying to construct a 95% confidence interval for these distance measurements [1]: > # Case Study 7.4.1, p. 483 > x <- scan() 1: 62 52 68 23 34 45 27 42 83 56 40 12: Read 11 items > alpha<-.95 > mean(x) + qt(c((1-alpha)/2, 1-((1-alpha)/2)), df=length(x)-1) *

I'm trying to get R, Sweave, ESS and XEmacs or emacs all installed and working together on my Windows XP Pro system. I've got R 2.6.0 working just fine, installed from the R Windows installer. I also have CYGWIN_NT-5.1 with XEmacs 21.4 working okay. Can anyone point me to any documentation on how to bring these together so that R code typed in Xemacs can be run in R? I found the ESS

hi,R users, Now I have some scatter figures, is there some method can plot equalprobable error ellipse ? -- TANG Jie Email: totangjie@gmail.com Tel: 0086-2154896104 Shanghai Typhoon Institute,China [[alternative HTML version deleted]]

This is about my searchable archive. The function RSiteSearch() now searches this archive. I'm considering the following changes. If you have comments, please write me. Try to avoid cc'ing the list. The Rhelp02a directory, which now contains all list mail from 2002 (about 100 MB), is getting larger and larger. This probably cannot go on forever, and performance might even improve if

I've made a few changes in the indices in my R search site. http://finzi.psych.upenn.edu is the general URL, and RSiteSearch takes you to http://finzi.psych.upenn.edu/search.html, which is equivalent to http://finzi.psych.upenn.edu/nmz.html. The main change is that I have eliminated "Previous message" and "Next message" from each page. (I still have "Next in

Hello! I need to use Kruskal-Wallis test and post-hoc test (Dunn's test) for my data. But when I searched around, I only found this function: kruskal.test. But nothing for Dunn's test. So I started to write one myself. But I do not know how to count ties in the data frame. I can use for loops but it seems long and unnecessary since the rank function actually knows the ties. So

I hope this question is sufficiently different from the other requests for book recommendations that it's not repetitious. If not, I apologize in advance. I'm curious what standard reference books working statisticians, or biostatisticians, have within easy reach of their desk. I'm a computer systems administrator, and have a two-foot bookshelf directory under my monitor that contains

I'm looking for a function in R similar to t.test() which was generously pointed out to me yesterday, but which can be used for normally distributed data. To recap yesterday: > x <- scan() 1: 62 52 68 23 34 45 27 42 83 56 40 12: Read 11 items > alpha<- .05 > t.test(x) One Sample t-test data: x t = 8.8696, df = 10, p-value = 4.717e-06 alternative hypothesis: true

Is this how a t hypothesis test is done when I don't have the actual data, but just the summarized statistics: > #Homework 9.2.6 [1] > n<-31 > xbar<-3.10 > s_x<-1.469 > m<-57 > ybar<-2.43 > s_y<-1.35 > s_pooled<- (((n-1)*s_x^2) + ((m-1)*s_y^2)) / (n + m - 2) > s_pooled [1] 1.939521 > t_obs <- (xbar - ybar) / (s_pooled * (sqrt(1/n + 1/m)))