similar to: How to get F Distribution values in R

The R poisson random generator rpois appears to have a bug for theta 10 or larger. The sample mean of the pseudo variates is too small: sample mean approx theta - 0.5. I use Version 1.1.1 (August 15, 2000) Of R on a Dell OptiPlex computer with the Windows XP Professional operating system. Has this bug been fixed in later versions? (I found another reported rpois bug, but it appears to be

I have a binary file(a) with size of (360 720 )for the globe.I wrote the code given below to read and extract an area (south america)from that file. when I use summary for the whole file I got: summary(a, na.rm=FALSE) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's 0.00 1.00 3.00 4.15 7.00 20.00 200083 . But when I used summary for the region(b) which I extracted, I got

hello, from windows 2000/xp clients i can only connect to the samba server using the ip address in the form: \\<ipaddress>\share \\<hostname>\share will give an authorization error i have tried samba 3 and 2.2 with no difference smb.conf: # Global parameters [global] workgroup = CMS netbios name = loki server string = Samba Server %v bind

I'm pasting below a working R file featuring a function I'd like to polish up. I'm teaching regression this semester and every time I come to something that is very difficult to explain in class, I try to simplify it by writing an R function (eventually into my package "rockchalk"). Students have a difficult time with predict and newdata objects, so right now I'm

I have a following problem: The call qplot(wg, v.realtime, data=df.best.medians$gv1, colour=sp, geom="boxplot") works nice: for each value of the wg factor I get two box-plots (two levels in the sp factor) in different colours, side-by-side, centered at the wg x-axis. However, I want to separate the data belonging to different levels of the n factor, so I add the facets option:

Hi all, thanks for making Tinc available - it works well and I managed to get a decent configuration going in only a few hours, great :) I am building a VPN for my cloud servers (hosted at DigitalOcean, they use Linux and KVM). I am on Ubuntu 12.04 with Kernel 3.0.8-36, and tinc is at version 1.0.16. From a functional point of view, everything works like a charm! But I am wondering, if there is

Yes. I tried that already. Not straightforward. data <- read.csv("20_newsgroups.csv",fill=TRUE,as.is=T,header=F, quote="", sep=",", encoding="UTF-8") This line does read it haphazardly. The emails in the column are split into multiple columns and there are several columns with just ?NA?. Totally 202 columns. And then I removed columns with NA?s and

Hello together, this is ma first post, so please aplogize me if post this in the wrong section. I have problem concerning ma two matrizes. After a regressione and so on, I got two matrizes Matrixres contains the results of ma calculation. Matrixr contains my detiene, which where Aldo used for the regression. Please ser the following code: #Datei einlesen residual =

Hello all there, I want to reimplement (for my personal, still very limited understanding of statistics) the linear regression. Now how do I get the correct values for F and T distributions (something like F.05[1,2], where 1 and 2 are degrees of freedom)? I tried dt and df, but the values I got were not correct. Thank you very much in advance, Mathias Ditzen

https://bugs.freedesktop.org/show_bug.cgi?id=90871 Bug ID: 90871 Summary: NV30: Xfwm4 use_compositing - garbled display Product: xorg Version: unspecified Hardware: x86 (IA32) OS: Linux (All) Status: NEW Severity: critical Priority: medium Component: Driver/nouveau Assignee:

Hi, As a gentoo-user i frequently run the emerge sync command, which in turn does a rsync with the mainserver. The 'problem' is that the portage directory tree contains about 19.000 directories and 96.000 files. So building the filelist takes a pretty long time, because of the many disk accesses that are neccesary. On the server side the disk-io problem is probably less worse since

Dear all, I am encountering some issues with my data and need some help. I am trying to run glm analysis with a presence/absence variable as response variable and several explanatory variable (time, location, presence/absence data, abundance data). First I tried to use the glm() function, however I was having 2 warnings concerning glm.fit () : # 1: glm.fit: algorithm did not converge # 2:

hello, browsing over the network has got the same access denied issue as when i do it via net use or run \\hostname\share greetings, herwarth -----Original Message----- From: samba-bounces+herwarth.heitmann=orangemail.nl@lists.samba.org [mailto:samba-bounces+herwarth.heitmann=orangemail.nl@lists.samba.org] On Behalf Of Louis van Belle Sent: 15 March 2006 16:31 To: samba@lists.samba.org Subject:

Hello R users, For the last few days I am struggling with the following task: my data.frame: A1 A2 A3 B1 B2 B3 58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15 10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218 13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934