Hi Peter,
Thank you so much for your explaination. I draw histogram before that, so
maybe that warning messages are meant for that.
From: peter dalgaard
Cc: "r-help@r-project.org"
Sent: Friday, August 2, 2013 3:11 PM
Subject: Re: [R] Kolmogor
On Aug 2, 2013, at 03:24 , Roslina Zakaria wrote:
> Dear r-users,
>
> I am using KS test to test the goodness of fit for my data and the got the
> following output. However, I don't understand about the "warning messages".
> What does it mean by "horizontals" is not a graphical parameter"
>
Dear r-users,
I am using KS test to test the goodness of fit for my data and the got the
following output. However, I don't understand about the "warning messages".
What does it mean by "horizontals" is not a graphical parameter"
Thank you so much for any help given and it is very much appr
] Kolmogorov-Smirnov test and the plot of max distance between two
ecdf curves
Sent by:
r-help-boun...@r-project.org
Rui,
Your response nearly answered a similar question of mine except that I
also
have ecdfs of different lengths.
Do you know how I can adjust x <- seq(min(loga, logb), max(l
Hello,
Try length.out = max(length(loga), length(logb))
Note also that all of the previous code and the line above assumes that
we are interested in the max distance, whereas the KS statistic computes
the supremum of the distance. If it's a two sample test then their
values are almost surely
Rui,
Your response nearly answered a similar question of mine except that I also
have ecdfs of different lengths.
Do you know how I can adjust x <- seq(min(loga, logb), max(loga, logb),
length.out=length(loga))
to account for this? It must be in length.out() but I'm unsure how to
proceed.
Just a final correction.
I was wrong, stats::ks.test doesn't use only Marsaglia et al.
It's even clearly written in the help page.
Read the documentation before stating!
Rui Barradas
Em 28-05-2012 11:51, maxbre escreveu:
> thanks for the help: I'll have a look at the papers
> max
>
> Il 28/05/20
thanks for the help: I'll have a look at the papers
max
Il 28/05/2012 12:31, Rui Barradas [via R] ha scritto:
> Hello,
>
> That's a very difficult question. See
>
> Marsaglia, Tsang, Wang (2003)
> http://www.jstatsoft.org/v08/i18/
>
> Simard, L'Ecuyer (2011)
> http://www.jstatsoft.org/v39/i11
>
>
Hello,
That's a very difficult question. See
Marsaglia, Tsang, Wang (2003)
http://www.jstatsoft.org/v08/i18/
Simard, L'Ecuyer (2011)
http://www.jstatsoft.org/v39/i11
R's ks functions are a port of Marsaglia et al. to the .C interface.
Rui Barradas
maxbre wrote
>
> thanks rui
>
> that's what
thanks rui
that's what I was looking for
I have another related question:
- why of the difference between the max distance D calculated with ks.test()
and the max distance D “manually” calculated as in (2)?
I guess it has something to do with the fact that KS is obtained with a
maximisation th
Hi all,
given this example
#start
a<-c(0,70,50,100,70,650,1300,6900,1780,4930,1120,700,190,940,
760,100,300,36270,5610,249680,1760,4040,164890,17230,75140,1870,22380,5890,2430)
length(a)
b<-c(0,0,10,30,50,440,1000,140,70,90,60,60,20,90,180,30,90,
3220,490,20790,290,740,5350,940,
Hello,
Try the following.
(i've changed the color of the first ecdf.)
loga <- log10(a+1) # do this
logb <- log10(b+1) # only once
f.a <- ecdf(loga)
f.b <- ecdf(logb)
# (2) max distance D
x <- seq(min(loga, logb), max(loga, logb), length.out=length(loga))
x0 <- x[which( abs(f.a(x) - f.b(x)) ==
I recently gave a presentation at the 50th Army Operational Research
Symposium at Ft Lee describing an implementation of Conover's exact
calculation method for the KS test applied to discrete distributions. My
implementation was done in Matlab script as opposed to R. Multiple
Monte-Carlo trials wer
Hi R-Users,
I read some texts related to KS-tests. Most of those authors stated, that
KS-Tests are not suitable for binned data, but some of them refer to 'other'
authors who are claiming that KS-Tests are okay for binned data.
I searched for sources and can't find examples which approve that it
801.408.8111
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Greg Snow
> Sent: Monday, September 26, 2011 11:45 AM
> To: rommel; r-help@r-project.org
> Subject: Re: [R] Kolmogorov-Smirnov test
>
> There
2:30 AM
> To: r-help@r-project.org
> Subject: Re: [R] Kolmogorov-Smirnov test
>
> Dear Dr. Snow,
>
> Thank you for your reply.
>
> 1. Are you doing the 2 sample KS test? Comparing if 2 samples come from
> the same distribution? -Yes, I am doing 2-sample KS test
>
nes you show. You will
need to ask someone who knows the programs you reference to determine what
input they are expecting. R expects the raw data. -Original
Message- From: [hidden email] [mailto: [hidden email] ] On Behalf Of
rommel Sent: Friday, September 23, 2011 7:51 AM To: [hidden e
...@r-project.org] On
Behalf Of rommel
Sent: Friday, September 23, 2011 7:51 AM
To: r-help@r-project.org
Subject: Re: [R] Kolmogorov-Smirnov test
Dear Dr. Snow,
I would like to ask for help on my three questions regarding Kolmogorov
Smirnov test.
1.
'With a sample size over 10,000 you will have power
Dear Dr. Snow,
I would like to ask for help on my three questions regarding Kolmogorov
Smirnov test.
1.
'With a sample size over 10,000 you will have power to detect differences
that are not practically meaningful. '
-Is sample size of 3000 for each sample okay for using Kolmogorov
Smirnov t
Hi,
many thanks for helpful answer.
Best
Marcin M.--
View this message in context:
http://r.789695.n4.nabble.com/Kolmogorov-Smirnov-test-tp3479506p3488364.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing l
l 28, 2011 3:54 PM
> To: r-help@r-project.org
> Subject: Re: [R] Kolmogorov-Smirnov test
>
> Hi,
> thanks for response.
>
> >> The Kolmogorov-Smirnov test is designed for distributions on
> continuous
> >> variable, not discrete like the >> poisson.
This test SnowsPenultimateNormalityTest() is great :)
Best
--
View this message in context:
http://r.789695.n4.nabble.com/Kolmogorov-Smirnov-test-tp3479506p3482401.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org ma
Hi,
thanks for response.
>> The Kolmogorov-Smirnov test is designed for distributions on continuous
>> variable, not discrete like the >> poisson. That is why you are getting
>> some of your warnings.
I read in "Fitting distributions whith R" Vito Ricci page 19 that: "...
Kolmogorov-Smirnov t
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of m.marcinmichal
> Sent: Wednesday, April 27, 2011 3:23 PM
> To: r-help@r-project.org
> Subject: [R] Kolmogorov-Smirnov test
>
> Hi,
> I have a problem w
Hi,
I have a problem with Kolmogorov-Smirnov test fit. I try fit distribution to
my data. Actualy I create two test:
- # First Kolmogorov-Smirnov Tests fit
- # Second Kolmogorov-Smirnov Tests fit
see below. This two test return difrent result and i don't know which is
properly. Which result is prop
gt; ks.test::ks.test(c(0,1), ecdf(c(0,1)))
One-sample Kolmogorov-Smirnov test
data: c(0, 1)
D = 0, p-value = 1
alternative hypothesis: two-sided
Original Message:
Date: Mon, 28 Feb 2011 21:31:26 +1100
From: Glen Barnett
To: tsippel
Cc: r-help@r-project.org
Subject: Re: [R] Kolmogorov-s
It's designed for continuous distributions. See the first sentence here:
http://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test
K-S is conservative on discrete distributions
On Sat, Feb 19, 2011 at 1:52 PM, tsippel wrote:
> Is the kolmogorov-smirnov test valid on both continuous and discr
r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of tsippel
> Sent: Friday, February 18, 2011 7:52 PM
> To: r-help@r-project.org
> Subject: [R] Kolmogorov-smirnov test
>
> Is the kolmogorov-smirnov test valid on both continuous and discrete
> data?
&
Is the kolmogorov-smirnov test valid on both continuous and discrete data?
I don't think so, and the example below helped me understand why.
A suggestion on testing the discrete data would be appreciated.
Thanks,
a <- rnorm(1000, 10, 1);a # normal distribution a
b <- rnorm(1000, 12, 1.5);b # no
.D.
> Statistical Data Center
> Intermountain Healthcare
> greg.s...@imail.org801.408.8111begin_of_the_skype_highlighting 801.408.8111 end_of_the_skype_highlighting
>
>
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
>
-Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Kerry
> Sent: Thursday, November 11, 2010 12:02 AM
> To: r-help@r-project.org
> Subject: Re: [R] Kolmogorov Smirnov Test
>
> Thanks for the feedback. My goal is to run a
On 11-Nov-10 04:22:55, Kerry wrote:
> I'm using ks.test (mydata, dnorm) on my data.
I think your problem may lie here! If you look at the documentation
for ks.test, available with the command:
help("ks.test")
or simply:
?ks.test
you will read the following near the beginning:
Usage: ks.test(
>
>
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> > project.org] On Behalf Of Kerry
> > Sent: Wednesday, November 10, 2010 9:23 PM
> > To: r-h...@r-project.org
> > Subject: [R] Kolmogorov Smirnov Test
&g
PM
> To: r-help@r-project.org
> Subject: [R] Kolmogorov Smirnov Test
>
> I'm using ks.test (mydata, dnorm) on my data. I know some of my
> different variable samples (mydata1, mydata2, etc) must be normally
> distributed but the p value is always < 2.0^-16 (the 2.0 can change
&
I'm using ks.test (mydata, dnorm) on my data. I know some of my
different variable samples (mydata1, mydata2, etc) must be normally
distributed but the p value is always < 2.0^-16 (the 2.0 can change
but not the exponent).
I want to test mydata against a normal distribution. What could I be
doing
age-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Roslina Zakaria
> Sent: Wednesday, August 04, 2010 8:34 PM
> To: r-help@r-project.org
> Subject: [R] Kolmogorov-Smirnov test, which one to use?
>
> Hi,
>
> I have two sets
Hi,
I have two sets of data, an observed data and generated data.
The generated data is obtained from the model where the parameters is estimated
from the observed data.
So I'm not sure which to use either
one-sample test
ks.test(x+2, "pgamma", 3, 2) # two-sided, exact
or
two-sample test
ks.
On Tue, 13/10/09, Roslina Zakaria wrote:
> From: Roslina Zakaria
> Subject: [R] Kolmogorov smirnov test
> To: r-help@r-project.org
> Received: Tuesday, 13 October, 2009, 9:58 AM
>
> Hi r-users,
>
> I would like to use Kolmogorov smirnov test but in my
> observed dat
Hi r-users,
I would like to use Kolmogorov smirnov test but in my observed data(xobs) there
are ties. I got the warning message. My question is can I do something about
it?
ks.test(xobs, xsyn)
Two-sample Kolmogorov-Smirnov test
data: xobs and xsyn
D = 0.0502, p-value = 0.924
al
roject.org [mailto:r-help-boun...@r-project.org] On
Behalf Of mathallan
Sent: Wednesday, April 29, 2009 10:52 AM
To: r-help@r-project.org
Subject: [R] Kolmogorov-Smirnov test
I got a distribution function and a empirical distribution function. How do I
make to Kolmogorov-Smirnov test in R.
Let
help.search("kolmogorov")
?ks.test
andydol...@gmail.com
2009/4/29 mathallan
>
> I got a distribution function and a empirical distribution function. How do
> I
> make to Kolmogorov-Smirnov test in R.
>
> Lets call the empirical distribution function >Fn on [0,1]
> and the
I got a distribution function and a empirical distribution function. How do I
make to Kolmogorov-Smirnov test in R.
Lets call the empirical distribution function >Fn on [0,1]
and the distribution function >F on [0,1]
ks.test( )
thanks for the help
--
View this
Can someone recommend a package in R that will perform a two-sample
Kolmogorov–Smirnov test on left censored data? The package "surv2sample"
appears to offer such a test for right censored data and I guess that I can
use this package if I flip my data, but I figured I would first ask if there
was
43 matches
Mail list logo
