search for: cook

...conf -i and ./configure after a make clean > it still shows that GEOIP is not found. > > Does the lib has to explicitly specified as argument like > >> --with-maxminddb-libdir > > to configure? > > > Cheers > > tobi > Am 14.05.19 um 17:14 schrieb Neil Cook via dovecot: >> Hi Tobi, >> >> This looks like you haven?t included the libmaxmind libraries before >> running configure. GeoIP support is only compiled in if it finds the >> right libs. >> >> This would be libmaxminddb-dev on Ubuntu for example. >>...

where is the cook-distance in R? i can't find it!please help me!

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...

...e but that ends up in a >> >> > Fatal Lua error: [string "chunk"]:28: attempt to call global >> > 'newGeoIP2DB' (a nil value) >> >> Any ideas what I could be missing here? >> >> Cheers >> >> tobi > > > Neil Cook > neil.cook at open-xchange.com <mailto:neil.cook at open-xchange.com> > > ------------------------------------------------------------------------------------- > Open-Xchange AG, Rollnerstr. 14, 90408 Nuremberg, District Court Nuremberg HRB 24738 > Managing Board: Rafael Lagu...

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 > linmod$residuals[1]^2/(...

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...

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 fa...

...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 smallest residual. This is an issue when the size of the plot is much less than the default, and the pointsize is not reduced proportionately. I suggest the following: xx <- hii xx[xx >= 1] <- NA ## I...

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 with the largest Cook's distances. The parameter cook.levels can be changed as required, to control what contours appear. (2) Remove the word "plot" from the captions for which=2...

Dear list, I've noticed that influence.measures and cooks.distance gives different results for non-gaussian GLMs. For example, using R-1.9.0 alpha (2003-03-17) under Windows: > ## Dobson (1990) Page 93: Randomized Controlled Trial : > counts <- c(18,17,15,20,10,20,25,13,12) > outcome <- gl(3,1,9) > treatment <- gl(3,3) > g...

Hi there, I have the problem, that I'm not able to reproduce the SPSS residual statistics (dfbeta and cook's distance) with a simple binary logistic regression model obtained in R via the glm-function. I tried the following: fit <- glm(y ~ x1 + x2 + x3, data, family=binomial) cooks.distance(fit) dfbetas(fit) When i compare the returned values with the values that I get in SPSS, they are dif...

Is there an existing function to compute Cook-Weisberg confidence curves for non-linear model parameters in R? Kari Ruohonen -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscr...

...for all the points with values higher than a certain value. I will try to be more explicit: I did a qqnorm plot of my data. It is obvious from the plot that all the sample quantiles which are in Theoretical Quantiles = or > than 1 belong to another group. To be sure about that I plot the cooks.distance for the same data, and sure enough the data with the indices grater than 250 (x axis) have obvious higher Cook ?s distance than the majority of the data. The data indices on the Cook?s distance plot are different than my data ID (in my data table) which is ?character type?. How do I i...

Hi, Figure 13 of Emmanuel Paradis's "R for Beginners" was produced by termplot working on an aov object. The lower right-hand plot is labelled "Cook's distance plot", and I'd really like to produce a similar type of figure, but in a totally different context. (I'm not even sure what this kind of figure is called, perhaps an "impulse plot", where instead of a point at (x,y), there's a vertical bar running from...

...ling read.table. In my opinion, one or the other should change (the behavior of data, or the documentation). <bleep> <bleep>, ~ Malcolm > -----Original Message----- > From: peter dalgaard [mailto:pdalgd at gmail.com] > Sent: Thursday, February 18, 2016 3:32 PM > To: Cook, Malcolm <MEC at stowers.org> > Cc: r-devel at stat.math.ethz.ch > Subject: Re: [Rd] should `data` respect default.stringsAsFactors()? > > What the <bleep> are you on about? data() does many things, only some of > which call read.table() et al., and the ones that do...

...d to read factors, the alphabetical level order is often not desired. My favourite workaround for data() is to drop a corresponding foo.R file in the ./data directory. This will be run in preference to loading foo.txt (or foo.csv, etc) and can contain, like, dd <- read.table(foo.txt,.....) dd$cook <- factor(dd$cook, levels=c("rare","medium","well-done")) etc. -pd > On 19 Feb 2016, at 01:39 , Joshua Ulrich <josh.m.ulrich at gmail.com> wrote: > > On Thu, Feb 18, 2016 at 6:03 PM, Cook, Malcolm <MEC at stowers.org> wrote: >> Hi Pe...

Yes, please do. Simon On Wed 17 Oct 2012 02:20:17 BST, Sean Silva wrote: > Wow this is awesome! Would it be okay if we linked to this from llvm.org/docs? > > -- Sean Silva > > On Tue, Oct 16, 2012 at 5:55 PM, Simon Cook <simon.cook at embecosm.com> wrote: >> Hi Everyone, >> >> I have been implementing the integrated assembler for the OpenRISC 1000 >> architecture. >> >> Whilst doing this I noticed a lack of documentation around this area. To >> help others, I have wr...

Am 02.10.23 um 20:22 schrieb Kees Cook: > On Mon, Oct 02, 2023 at 08:11:41PM +0200, Christian K?nig wrote: >> Am 02.10.23 um 20:08 schrieb Kees Cook: >>> On Mon, Oct 02, 2023 at 08:01:57PM +0200, Christian K?nig wrote: >>>> Am 02.10.23 um 18:53 schrieb Kees Cook: >>>>> On Mon, Oct 02, 2023 at...

Am 02.10.23 um 20:22 schrieb Kees Cook: > On Mon, Oct 02, 2023 at 08:11:41PM +0200, Christian K?nig wrote: >> Am 02.10.23 um 20:08 schrieb Kees Cook: >>> On Mon, Oct 02, 2023 at 08:01:57PM +0200, Christian K?nig wrote: >>>> Am 02.10.23 um 18:53 schrieb Kees Cook: >>>>> On Mon, Oct 02, 2023 at...

Am 02.10.23 um 20:22 schrieb Kees Cook: > On Mon, Oct 02, 2023 at 08:11:41PM +0200, Christian K?nig wrote: >> Am 02.10.23 um 20:08 schrieb Kees Cook: >>> On Mon, Oct 02, 2023 at 08:01:57PM +0200, Christian K?nig wrote: >>>> Am 02.10.23 um 18:53 schrieb Kees Cook: >>>>> On Mon, Oct 02, 2023 at...