similar to: read.table() errors with tab as separator (PR#9061)

Hello All, I am (proudly?) announcing a new Ajax SlideShow project. It is part of a new bigger project starting up, still I am glad to announce you this early snapshot. Please consider taking a look at http://slideshow.webtwo.ws website The project itself - as long as the web page hosting it - it''s not as clean as it will be. I must also admit that, even if announced as release

flight 9061 xen-unstable real [real] http://www.chiark.greenend.org.uk/~xensrcts/logs/9061/ Regressions :-( Tests which did not succeed and are blocking: test-amd64-i386-rhel6hvm-amd 5 xen-boot fail REGR. vs. 8995 Tests which are failing intermittently (not blocking): test-amd64-i386-pv 5 xen-boot fail pass in 9054 test-i386-i386-pv

Bug PR#9316 noted an inconsistency between the Cook's distance contours on plot.lm(x, which = 5) and the values given by cooks.distance(x) -- as shown in plot.lm(x, which = 4) -- for glms: http://bugs.r-project.org/cgi-bin/R/Analyses-fixed?id=9316;user=guest;selectid=9316 The suggested fix was to modify the contour levels by a dispersion factor, implemented as follows: dispersion <-

The following code demonstrates an annoyance with plot.lm(): library(DAAGxtras) x11(width=3.75, height=4) nihills.lm <- lm(log(time) ~ log(dist) + log(climb), data = nihills) plot(nihills.lm, which=5) OR try the following xy <- data.frame(x=c(3,1:5), y=c(-2, 1:5)) plot(lm(y ~ x, data=xy), which=5) The "Cook's distance" text overplots the label for the point with the

Hi Community, I'm trying to reconcile Cook's Distances computed in glm. The following snippet of code shows that the Cook's Distances contours on the plot of Residuals v Leverage do not seem to be the same as the values produced by cooks.distance() or in the Cook's Distance against observation number plot. counts <- c(18,17,15,20,10,20,25,13,12) outcome <- gl(3,1,9)

Hello rsyncers, I have long wished for a feature in rsync to detect files that have renamed on the sender side since the last time a sync was performed, and avoid transfering those files to the destination the same way it avoids transfering files that haven't changed. Example 1: a log directory (like /var/log) is backed up every day. Most of the time, rsync transfers very little data, but

Full_Name: John Maindonald Version: R-2.8.1 OS: MacOS X 10.5.6 Submission from: (NULL) (203.173.3.75) The following code demonstrates an annoyance with plot.lm(): library(DAAGxtras) x11(width=3.75, height=4) nihills.lm <- lm(log(time) ~ log(dist) + log(climb), data = nihills) plot(nihills.lm, which=5) OR try the following xy <- data.frame(x=c(3,1:5), y=c(-2, 1:5)) plot(lm(y ~ x,

Dear useRs, I have some trouble with the calculation of Cook's distance in R. The formula for Cook's distance can be found for example here: http://en.wikipedia.org/wiki/Cook%27s_distance I tried to apply it in R: > y <- (1:400)^2 > x <- 1:100 > lm(y~x) -> linmod # just for the sake of a simple example >

I have a puzzle as to how R is computing Cook's distance in weighted linear regression. In this case cook's distance should be given not as in OLS case by h_ii*r_i^2/(1-hii)^2 divided by k*s^2 (1) (where r is plain unadjusted residual, k is number of parameters in model, etc. ) but rather by w_ii*h_ii*r_i^2/(1-hii)^2 divided by k*s^2,

Hello dear R users, My objective is to change the size of this graphic : plot(lm(a~b), 4) (Cook's distance) I have found the help on the internet saying to change the size of a title on a graphic plot(lm(a ~ b), 4), I should use the graphic parameter cex.caption http://stat.ethz.ch/R-manual/R-patched/library/stats/html/plot.lm.html But in my install of R, it answers cex.caption isn't a

I propose the following enhancements and changes to plot.lm(), the most important of which is the addition of a Residuals vs Leverage plot. (1) A residual versus leverage plot has been added, available by specifying which = 5, and not included as one of the default plots. Contours of Cook's distance are included, by default at values of 0.5 and 1.0. The labeled points, if any, are those

Hi, I''ve installed sqlite3 (via the instructions at http://wiki.rubyonrails.org/rails/pages/HowtoUseSQLite), and all went well OSX 10.4.7 ruby 1.8.4 (2005-12-24) [powerpc-darwin8.6.0] and sqlite3.rb is in /usr/local/lib/ruby/gems/1.8/gems/sqlite3-ruby-1.1.0/lib but I can''t <require ''sqlite3''> caw$ irb irb(main):001:0> require

With a recent R 2.4 I notice the following: df <- data.frame(x=1:2) > row.names(df) [1] "1" "2" > rownames(df) [1] 1 2 This seems related to recent changes in the internal storage format of the row names data for data frames. The man page for rownames says: For a data frame, 'rownames' and 'colnames' are equivalent to 'row.names'

Dear R User, I'm a new member of this list, I'm using R language from a short time and I would like to ask you something I cannot solve... I'm using the fwdlm function from the forward library, I'm specially interested by the results of Cook's distances: I'd want to know which inputs are the cause of peacks in Cook's distances plot; because what I find in abscisas

I have been struggling to find some informaation on what lm exactly does. I know it uses the QR decomp. However, I was recently faced with a somewhat badly scaled matrix and summary(lm) said Coefficients: ( 4 not defined because of singularities) does anyone know how lm chooses these 4 coef. is it forward building of the model --> drop last when qr sends a non full rank design matrix? My

Dear R users, I am trying to get data from the clipboard into R on MacOSX. I tried the following, but got an error message: read.delim("clipboard") Error in file(file, "r") : unable to open connection In addition: Warning message: unable to contact X11 display Obviously, I'm not running R using X11. I'm wondering, can I import data from the clipboard on MacosX?

Hello, I was trying to use get.hist.quote in tseries, and got a segfault: -8<----------------------------------- > library(tseries) Loading required package: quadprog Loading required package: zoo 'tseries' version: 0.10-6 'tseries' is a package for time series analysis and computational finance. See 'library(help="tseries")' for

Hi, I have a first quick patch and a question. The patch links f951 with g++ when LLVM is enabled. It's at the end of this email. I wanted to know if I should submit patches with comments around them like the "APPLE LOCAL LLVM" ones that mark the LLVM-only changes to the tree. I'd like to make it as easy as possible to apply these, so let me know any rules I should be following.

Hi Folks, I think I have searched exhaustively, including, of course R-help (D. Bates, S. Graves, and others) and but I remain uncertain about testing fixed effects with lmer(..., family=binomial). I gather that mcmcsamp does not work with Do we rely exclusively on z values of model parameters, or could we use anova() with likelihood ratios, AIC and BIC, with (or without)

Hi folks, I am tearing my hair out on this one. I am using an example from Pinheiro and Bates. ### this works data(Orange) mod.lis <- nlsList(circumference ~ SSlogis(age, Asymp, xmid, scal), data=Orange ) ### This works mod <- nlme(circumference ~ SSlogis(age, Asymp, xmid, scal), data=Orange, fixed = Asymp + xmid + scal ~ 1, start =