Displaying 20 results from an estimated 1984 matches for "uniformness".
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2011 Feb 20
8
Generating uniformly distributed correlated data.
I wish to generate a vector of uniformly distributed data with a
defined correlation to another vector
The only function I have been able to find doing something similar is
corgen from the library ecodist.
The following code generates data with the desired correlation to the
vector x but the resulting vector y is normal and not uniform
distributed
library(ecodist)
x <- runif(10^5)
y
2004 Jun 12
3
lda
I am trying to write the following code in R. The code works in S+ and i
am trying to do the program in R.
x=discrim(admit~gpa+gmat,prior=c("uniform"),data=data.mm)
i wrote the following in R:
x=lda(admit~gpa+gmat,data=data.mm)
i could not figure out how to write prior=c("uniform") in R. I would get
an error every time. I think that it has something to do
with
2016 Oct 24
2
RFC: (Co-)Convergent functions and uniform function parameters
Hi all,
Some brain-storming on an issue with SPMD/SIMT backend support where I
think some additional IR attributes would be useful. Sorry for the
somewhat long mail; the short version of my current thinking is that I
would like to have the following:
1) convergent: a call to a function with this attribute cannot be moved
to have additional control dependencies; i.e., moving it from A to B is
2011 Jun 10
3
Test if data uniformly distributed (newbie)
Hello,
I have a bunch of files containing 300 data points each with values from 0
to 1 which also sum to 1 (I don't think the last element is relevant
though). In addition, each data point is annotated as an "a" or a "b".
I would like to know in which files (if any) the data is uniformly
distributed.
I used Google and found out that a Kolmogorov-Smirnov or a Chi-square
2016 Oct 24
2
RFC: (Co-)Convergent functions and uniform function parameters
On 24.10.2016 21:54, Mehdi Amini wrote:
>> On Oct 24, 2016, at 12:38 PM, Nicolai Hähnle via llvm-dev <llvm-dev at lists.llvm.org> wrote:
>> Some brain-storming on an issue with SPMD/SIMT backend support where I think some additional IR attributes would be useful. Sorry for the somewhat long mail; the short version of my current thinking is that I would like to have the following:
2010 Mar 08
2
variance of discrete uniform distribution
Hi all,
I am REALLY confused with the variance right now.
for a discrete uniform distribution on [1,12]
the mean is (1+12)/2=6.5
which is ok.
y=1:12
mean(y)
then var(y)
gives me 13
1- on http://en.wikipedia.org/wiki/Uniform_distribution_%28discrete%29 wiki
the variance is (12^2-1)/12=143/12
2-
2012 Nov 07
6
how to generate a set of random numbers that sum to 1 with uniform distribution of elements
Hi,
I am looking for a way to generate a matrix of random numbers in a way that
each row of the matrix would sum to 1 and that the numbers in the columns of
the matrix would have a uniform distribution. So far I have found several
ways to create random numbers that would sum to 1, but then the distribution
of the individual elements is more or less skewed - there are much more
small numbers than
2011 Apr 08
4
Simulation from discrete uniform
Dear all,
I am trying to simulate from discrete uniform distribution. But I could not
find any in-built code in R. Could anyone help me please?
Thanks in advance for the time and help.
Cassie
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2010 Sep 08
3
Uniform Distribution
Hello,
I would like to uniformly distribute values from 0 to 200. Can someone help me
find the appropriate uniform distribution generator?
I would like to thank you in advance for your help.
Best Regards
Alex
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2011 Aug 25
2
Create two uniformly random variables correlated
Hello,
I want to create two random variables (x1,x2) both with uniform distribution bounded by (-1) and (1) that has a correlation of 0.6 between them.
Does somebody know how I can do it? For normal random variables I known how to implement it with the rmvnorm command but I don't know how to do it with variables uniformly distributed.
Thanks a lot.
Alexandra
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2013 Oct 08
3
Latin Hypercube Sample and transformation to uniformly distributed integers or classes
Hi,
I'd like to use Latin Hypercube Sampling (LHC) in the the context of
uncertainty / sensitivity analysis of a complex model with approximately 10
input variables. With the LHC approach I'd like to generate parameter
combinations for my model input variables.
Therefore I came across an simple example here on the mailing list (
2005 Feb 23
2
[LLVMdev] Uniform data dependence info?
Guys,
Is there some uniform way to find data dependence between
two (sets of) instructions? There is use/def data, and
there is AliasAnalysis information, but I am looking for
something more high-level and uniform. I guess I am missing
something, because such interface seems to exist once and
then was abandoned. Any ideas?
Victor
--
IBM Research Lab in Haifa, Israel
2011 May 31
2
Latin Hypercube Sampling with a condition
Hello all,
I am trying to do a Latin Hypercube Sampling (LHS) to a 5-parameter
design matrix. I start as follows:
library(lhs)
p1<-randomLHS(1000, 5)
If I check the distribution of each parameter (column), they are
perfectly uniformly distributed (as expected).For example,
hist(p1[,1])
Now the hard (maybe strange) question. I want the combination of the
first three parameters to sum up to
2016 Aug 23
2
How to describe the RegisterInfo?
Hi Escha,
Great to have your comment! Do you have any specific reason for not doing
like this?
I am not sure whether I understand your point correctly. For "just model
one thread",
do you mean "only considering ONE of the 8/16 working lanes that running in
lock-step way"??
For my case, may be something like I only need to define r0~r127 as
register for i32 register (each r#
2004 Nov 12
1
plot.rpart ignores uniform=TRUE if graphics device is not open (PR#7361)
Full_Name: Hsiu-Khuern Tang
Version: 2.0.0
OS: Debian GNU/Linux
Submission from: (NULL) (156.153.255.236)
Hi all,
If fit is an rpart object,
plot(fit, uniform=TRUE)
ignores uniform=TRUE if the graphics device is not already open.
To reproduce this:
library("rpart")
example(plot.rpart)
dev.off() # <- works OK without this
plot(fit, uniform=TRUE) # <- uniform=TRUE is ignored
2010 Feb 10
3
Sampling from Bivariate Uniform Distribution
Hello all!!!
1) I am wondering is there a way to generate random numbers in R for Bivariate Uniform distribution?
2) Does R have built-in function for generating random numbers for any given bivariate distribution.
Any help would be greatly appreciated !!
Good day!
Haneef Anver
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2019 Mar 03
2
bug: sample( x, size, replace = TRUE, prob= skewed.probs) produces uniform sample
When `length( skewed.probs ) > 200' uniform samples are generated in R-devel.
R-3.5.1 behaves as expected.
`epsilon` can be a lot bigger than illustrated and still the uniform distribution is produced.
Chuck
> set.seed(123)
>
> epsilon <- 1e-10
>
> ## uniform to 200 then small
> p200 <- prop.table( rep( c(1, epsilon), c(200, 999-200)))
> ## uniform to 201
2005 Feb 23
0
[LLVMdev] Uniform data dependence info?
> Is there some uniform way to find data dependence between two (sets of)
> instructions? There is use/def data, and there is AliasAnalysis
> information, but I am looking for something more high-level and uniform.
> I guess I am missing then was abandoned. Any ideas?
Nope, there currently isn't a uniform interface for doing so, at least not
at the LLVM level. As you said,
2010 Nov 06
1
How to generate multivariate uniform distribution random numbers?
I wish to generate 100 by 1 vector of x1 and x2 both are uniform distributed
with covariance matrix \Sigma.
Thanks,
Michael
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2007 Dec 07
1
how to generate uniformly distributed random integers
I'm a beginner of R.
I can use runif() to generate uniformly distributed numbers, but I don't
know which function can generate uniformly distributed random integers, or
what kind of method do?
Thanks!
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