Displaying 20 results from an estimated 8000 matches similar to: "2.2e-16 a magic number? ks.test help"
2010 Sep 22
2
kstest vs shapirotest
Dear R-users
Idea:
Analysing tree height frequency with hist(), normal distribution (ks.test & shapiro.test) and skewness (package e1071 - thanks a lot for this useful package)as an indication of possible self-thinning in an experimental tree stand.
Problem:
Results from the ks.test and the shapiro.test are not comparable (see example of both tests). Tree height is a nice continuous
2007 Nov 16
2
ks.test
Hello,
I want to do normality test on my data
I write this but I don't understand the display of the results
ks.test(data,"pnorm")
In fact I want to know if my data is a normal distribution. I have to check the p-value or D?
Thanks.
_____________________________________________________________________________
l
[[alternative HTML version deleted]]
2005 Mar 18
1
Pb with ks.test pvalue
Hello,
While doing test of normality under R and SAS, in order to prove the efficiency of R to my company, I notice
that Anderson Darling, Cramer Van Mises and Shapiro-Wilk tests results are quite the same under the two environnements,
but the Kolmogorov-smirnov p-value really is different.
Here is what I do:
> ks.test(w,pnorm,mean(w),sd(w))
One-sample Kolmogorov-Smirnov test
data: w
D
2005 Nov 18
1
help on ks.test and shapiro.test
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
2001 Jul 02
2
Shapiro-Wilk test
Hi,
does the shapiro wilk test in R-1.3.0 work correctly? Maybe it does, but can
anybody tell me why the following sample doesn't give "W = 1" and
"p-value = 1":
R> x<-1:9/10;x
[1] 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
R> shapiro.test(qnorm(x))
Shapiro-Wilk normality test
data: qnorm(x)
W = 0.9925, p-value = 0.9986
I can't imagine a sample being
2001 May 28
3
normality test
Hello
I have used recently the kolmogorov smirnov test,
which is a test of normality.
This test is named ks.test() in ctest library of R.
I wonder if the results of ks.test () are true, because
the results are strange, time to time.
thank you for help
meriema
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2008 Jan 29
1
Help needed on Normality test
Hi all T gurus,
I would like to test if my dataset is indeed from N(0, 0.011908969).
K.S. test gives following result:
> ks.test(data, "pnorm", 0, 0.011908969)
One-sample Kolmogorov-Smirnov test
data: data
D = 0.1092, p-value = 1.318e-05
alternative hypothesis: two-sided
How ever "Shapiro-Wilk" test give following :
>
2008 Apr 22
1
Comparing kendall's tau values?
I have 3 variables relating to the successful introductions of species
to 95 different areas: introduction frequency; number of successes pre
1906; number of successes post 1906
The data are not normal, nor homo-skedatic, so I am using non-parametric
statistics.
I have calculated Kendall's tau between both introduction & successes
pre 1906 (tau=0.3903) and introduction & successes
2011 Oct 06
2
KS test and theoretical distribution
> x <- runif(100)
> y <- runif(100)
> ks.test(x,y)
Two-sample Kolmogorov-Smirnov test
data: x and y
D = 0.11, p-value = 0.5806
alternative hypothesis: two-sided
ok I expected that, but:
> ks.test(runif(100), "runif")
One-sample Kolmogorov-Smirnov test
data: runif(100)
D = 0.9106, p-value < 2.2e-16
alternative hypothesis: two-sided
How
2010 Aug 20
3
how to interpret KS test
Dear R users
I am using KS test to compare two different distribution for the same
variable (temperature) for two different time periods.
H0: the two distributions are equal
H1: the two distributions are different
ks.test (temp12, temp22)
Two-sample Kolmogorov-Smirnov test
data: temp12 and temp22
D = 0.2047, p-value < 2.2e-16
alternative hypothesis: two-sided
Warning message:
In
2010 Jun 23
2
About normality tests...
Hi all,
I have two very large samples of data (10000+ data points) and would
like to perform normality tests on it. I know that p < .05 means that
a data set is considered as not normal with any of the two tests. I am
also aware that large samples tend to lead more likely to normal
results (Andy Field, 2005).
I have a few questions to ensure that I am using them right.
1) The Shapiro-Wilk
2006 Jul 09
1
KS Test Warning Message
All,
Happy World Cup and Wimbledon. This morning finds me with the first
of my many daily questions.
I am running a ks.test on residuals obtained from a regression model.
I use this code:
> ks.test(Year5.lm$residuals,pnorm)
and obtain this output
One-sample Kolmogorov-Smirnov test
data: Year5.lm$residuals
D = 0.7196, p-value < 2.2e-16
alternative hypothesis: two.sided
Warning
2008 Mar 08
1
ks.test troubles
Hi there!
I have two little different data. One is a computer test on people, the
other is a paper and pencil test. two boxplots show me that the data is
almost the same.
So now I'd like to know if I could handle all data as one, by testing
with ks.test:
====
> ks.test(el$angststoer, fl$angststoer)
Two-sample Kolmogorov-Smirnov test
data: el$angststoer and fl$angststoer
D =
2005 Jan 11
3
Kolmogorov-Smirnof test for lognormal distribution with estimated parameters
Hello all,
Would somebody be kind enough to show me how to do a KS test in R for a
lognormal distribution with ESTIMATED parameters. The R function
ks.test()says "the parameters specified must be prespecified and not
estimated from the data" Is there a way to correct this when one uses
estimated data?
Regards,
Kwabena.
--------------------------------------------
Kwabena Adusei-Poku
2009 Sep 08
1
Unexpected behavior in friedman.test and ks.test
I have to start by saying that I am new to R, so I might miss something crucial here. It seems to me that the results of friedman.test and ks.test are "wrong". Now, obviously, the first thing which crossed my mind was "it can't be, this is a package used by so many, someone should have observed", but I can't figure out what it might be.
Problem: let's start with
2010 Aug 04
4
KS Test question (2)
Hi R Users,
I have two vectors, x and y, of equal length representing two types of
data from two studies. I would like to test if they are similar enough
to use them interchangeably. No assumptions about distributions can be
made (initial tests clearly show that they are not normal).
Here some result:
Two-sample Kolmogorov-Smirnov test
data: x and y
D = 0.1091, p-value < 2.2e-16
alternative
2001 Jul 01
1
(PR#1007) ks.test doesn't compute correct empirical
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 ....
>
2005 Jan 13
2
multivariate diagnostics
Hi, there.
I have two questions about the diagnostics in multivarite statistics.
1. Is there any diagnostics tool to check if a multivariate sample is from
multivariate normal distribution? If there is one, is there any function
doing it in R?
2. Is there any function of testing if two multivariate distribution are
same, i.e. the multivariate extension of Kolomogrov-Smirnov test?
Thanks for
2001 Nov 09
2
ks.test
Dear R-List members,
I want to check if a set of measurements follows better a
gamma or a lognormal distribution (see data below).
Using shapiro.test I can test for normality (shapiro.test(log
(Lt)).
To test for gamma (and normal) distribution I would use
ks.test but I need to specify its shape and scale. How should
I calculate these values in R?
I tried
> Lt.fit <- glm(Lt ~ 1,
2005 Oct 02
1
rate instead of scale in ?ks.test
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