similar to: ks.test gets stuck (PR#2571)

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Full_Name: t. avery Version: 2.0.0 OS: windows xp / Linux Submission from: (NULL) (131.162.134.159) ks.test does not produce the correct output. If given the script: d1 <- c(53.63984674,0.383141762,1.915708812,0.383141762,10.72796935,6.896551724,20.30651341,5.747126437,0) d1 d2 <- c(76.43312102,15.2866242,3.821656051,1.27388535,0,0.636942675,1.27388535,0.636942675,0.636942675) d2

Full_Name: Andrew Grant McDowell Version: R 1.1.1 (but source in 1.3.0 looks fishy as well) OS: Windows 2K Professional (Consumer) Submission from: (NULL) (194.222.243.209) In article <xeQ_6.1949$xd.353840@typhoon.snet.net>, johnt@tman.dnsalias.com writes >Can someone help? In R, I am generating a vector of 1000 samples from >Bin (1000, 0.25). I then do a Kolmogorov Smirnov test

Full_Name: Thomas Waterhouse Version: 2.9.1 OS: OS X 10.5.7 Submission from: (NULL) (216.239.45.4) ks.test uses a biased approximation to the p-value in the case of the two-sample test with ties in the pooled data. This has been justified in R in the past by the argument that the KS test assumes a continuous distribution. But the two-sample test can be extended to arbitrary distributions by a

On Sun, 1 Jul 2001 mcdowella@mcdowella.demon.co.uk wrote: > Full_Name: Andrew Grant McDowell > Version: R 1.1.1 (but source in 1.3.0 looks fishy as well) > OS: Windows 2K Professional (Consumer) > Submission from: (NULL) (194.222.243.209) Please upgrade: we've found a number of Win2k bugs and worked around them since then, let alone teh bug fixes and improvements in R .... >

I think that should be: %post --nochroot -- Sent from the Delta quadrant using Borg technology! Nux! www.nux.ro ----- Original Message ----- > From: "Nico Kadel-Garcia" <nkadel at gmail.com> > To: "Discussion about the virtualization on CentOS" <centos-virt at centos.org> > Sent: Saturday, 25 April, 2015 15:38:49 > Subject: [CentOS-virt] Can we get a

I've recently been dealing with various CentOS images on AWS, and am being forcibly reminded that the "/root/anaconda-ks.cfg" has only a passing resemblance to whatever the kickstart configuration file actually contained. But getting a copy of the actual "ks.cfg" is invaluable for updating and testing variations of the kickstart setup, especially when manipulating disk

Hello r-group I have a question to the ks.test. I would expect different values for less and greater between data1 and data2. Does anybody could explain my point of misunderstanding the function? data1<-c(8,12,43,70) data2<- c(70,43,12,8) ks.test(data1,"pnorm") ks.test(data1,"pnorm",alternative ="less") #expected < 0.001

Hello! I need to compare 2 datasets whether they come from the same distribution. I use function ks.boot{Matching}. And what is the confidence level of the p-value, returned by ks.boot function? The code is: set=read.table("http://stella.sai.msu.ru:8080/~gala/data/testsets.csv", header=T,sep=',') set1=set[!is.na(set$set1),'set1']

Based on a report to the Windows maintainers from Richard Rowe <Richard.Rowe@jcu.edu.au>: NEWS for 1.3.0 says o Exact p-values are available for the two-sided two-sample Kolmogorov-Smirnov test. I think the (new) p-values are computed but are backwards: > set.seed(123) > x <- rnorm(50) > y <- runif(50) > ks.test(x,y, exact=T)$p [1] 1 > 1 - ks.test(x,y,

Hello! I am testing if my data are distributed under Laplace's distribution, which I managed to do with: > library(rmutil) > ks.test(jitter(x), "plaplace", mean(x), sd(x)) Nevertheless, I am trying to bootstrap ks.test without any success. Something is wrong in my commands: > data = read.table("data.dat",T) > library(rmutil) > library(boot) > ks.laplace =

Hi all, How can we use ks.test() to evaluate goodness of fit of mixtures of distributions? For example I have the following dataset: > x [1] 176.1 176.8 259.6 171.6 90.0 234.3 145.7 113.7 105.9 176.2 168.9 136.1 [13] 109.2 110.3 164.3 117.7 131.3 163.7 200.4 196.4 196.2 168.6 190.4 127.5 [25] 136.0 114.2 112.0 91.9 333.4 295.5 172.0 293.3 91.7 289.7 118.8 55.1 [37] 161.9 233.9 197.7

Dear R-help, Hope this email finds you well. My name is Ziyan. I am a graduate student in Zhejiang University. My subject research involves ks.test in stats-package {stats}. Based on the code, I have two main questions. Could you provide me some more information? I download different versions of the r language source code through r language website (https://www.r-project.org/). By reading

I am trying to do a ks.test in R 2.6.2 (running on Mac OS X 10.4.11). In the help guides it specifies that the y variable can be a character string for the type of distribution I want. I am doing this on the residuals of a regression model, but I continue to get an error. This is some of the code I have tried: > ks.test(res,"Norm") Error in get(y, mode =

I am asking this here, that although a kickstart question, may have something to do with the Centos install? I took my Anaconda-ks.cfg from my system, turned it into a ks.cfg and did the install. Everything SEEMS ok, but why? First the partitioning information: ks.cfg supplied: clearpart --all --drives=hda part /boot --fstype ext3 --size=100 --ondisk=hda part / --fstype ext3 --start=14

Hi, I have a dataframe with multiple (appr. 20) columns containing vectors of different values (different distributions). Now I'd like to create a crosstable where I compare the distribution of each vector (df-column) with each other. For the comparison I want to use the ks.test(). The result should contain as row and column names the column names of the input dataframe and the cells should

I am not sure whether I'm doing something wrong or there is a bug in the documentation of ks.test. Following the posting guide, as I'm not sure, I haven't found this in the bug tracker, and the R FAQ says that stats is an Add-on package of R, I think this is the place to send it. ?ks.test provides the example <QUOTE> # Does x come from a shifted gamma distribution with shape 3

I made a file partition-ks.cfg and put it in our machine 192.168.5.17 under /var/www/html. When I install a new machine I just do a linux ks=http://192.168.5.17/partition-ks.cfg I have a couple questions though: 1) I have the following in it: clearpart --all part /boot --fstype ext3 --size=100 part /var --fstype ext3 --size=10000 part / --fstype ext3 --size=10000

Hello all, A friend just showed me how ks.test fails to work with pbinom for small "size". Example: x<-rbinom(10000,10,0.5) x2<-rbinom(10000,10,0.5) ks.test(x,pbinom,10,0.5) ks.test(x,pbinom,size = 10, prob= 0.5) ks.test(x,x2) The tests gives significant p values, while the x did come from binom with size = 10 prob = 0.5. What test should I use instead ? Thanks, Tal

I have three files of data which are available at http://zhangw.com/ R/, varied at the number of data. I tried to use R to analyze using shapiro.test, ks.test, and t.test. t.test ran as expected, however, when I run shapiro.test and ks.test commands, error message always occurred. Error message for shapiro.test is "Error in "[.data.frame"(x, complete.cases(x)) : undefined