Displaying 20 results from an estimated 1300 matches similar to: "How to calculate density function of Bivariate binomial distribution"
2007 Jun 08
1
Need Help with robustbase package: fitnorm2 and plotnorm2
This is my first post requesting help to this mailing list. I am new
to R. My apologies for any breach in posting etiquette. I am new to
this language and just learning my way around. I am attempting to run
some sample code and and am confused by the error message:
Loading required package: rrcov
Error in fitNorm2(fdat[, "FSC-H"], fdat[, "SSC-H"], scalefac = ScaleFactor) :
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 haveĀ 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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2006 Mar 29
2
bivariate case in Local Polynomials regression
Hi:
I am using the package "KernSmooth" to do the local polynomial regression. However, it seems the function "locpoly" can only deal with univariate covaraite. I wonder is there any kernel smoothing package in R can deal with bivariate covariates? I also checked the package "lcofit" in which function "lcofit" can indeed deal with bivariate case. The
2012 Jul 27
3
bivariate normal
Dear list members
I need a function that calculates the bivariate normal distribution for each observation. It is part of a likelihood function and I have 1000's of cases. As I understand it I cannot use packages like "mvtnorm" because it requres a covariance matrix of the same dimension as the number of observations. Basically what I need is a function that takes as arguments a
2011 Jun 14
2
How to generate bivariate exponential distribution?
Any one know is there any package or function to generate bivariate
exponential distribution? I gusee there should be three parameters, two rate
parameters and one correlation parameter. I just did not find any function
available on R. Any suggestion is appreciated.
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2004 Oct 23
4
Plotting Bivariate Normal Data
Dear list
I have a vector of values that allegedly have a bivariate normal distribution.
I want to create a plot that shows the values I have obtained, and the
bivariate normal distribution curve for the data.
Is there a way of doing this in R?
Many thanks for your help,
Sarah.
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2012 Mar 23
1
Nonparametric bivariate distribution estimation and sampling
Dear all,
I have a bivariate dataset from a preliminary study. I want to do two things: (1) estimate the probability density of this bivariate distribution using some nonparametric method (kernel, spline etc); (2) sample a big dataset from this bivariate distribution for a simulation study.
Is there any good method or package I can use in R for my work? I don?t want parametric models like
2010 Apr 06
2
checking bivariate normality
x <- iris$Sepal.Length[1:50]/iris$Sepal.Width[1:50]
y <- iris$Petal.Length[1:50]/iris$Petal.Width[1:50]
I want to check whether (x,y) follows a bivariate normal distribution or
not, using density plot or scatter plot. Is it possible to plot a bivariate
density in R. I cant find any.
Arindam Fadikar
M.Stat
Indian Statistical Institute.
New Delhi, India
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2004 Nov 16
2
help on EM Algorithm for bivariate normal
Hi,
I woul like to know if it is possible to have a "R code" to generate EM
Algorithm for a normal bivariate mixture.
Best regard,
S.F.
2005 Dec 12
2
Bivariate Splines in R
Hi..,
is there a function in R to fit bivariate splines
?
I came across 'polymars' (POLSPLINE) and 'mars' (mda)
packages. Are these the one to use or are there other
specific commands?
Thanks.
Harsh
2006 May 11
2
Maximum likelihood estimate of bivariate vonmises-weibull distribution
Hi,
I'm dealing with wind data and I'd like to model their distribution in
order to simulate data to fill-in missing values. Wind direction are
typically following a vonmises distribution and wind speeds follow a
weibull distribution. I'd like to build a joint distribution of
directions and speeds as a VonMises-Weibull bivariate distribution.
First is this a stupid question? I'm
2008 Jan 23
2
from a normal bivariate distribution to the marginal one
Hello,
I'm quite new with R and so I would like to know if there is a command
to calculate an integral.
In particular I simulated a bivariate normal distribution using these
simple lines:
rbivnorm <- function(n, # sample size
mux, # expected value of x
muy, # expected value of Y
sigmax, # standard deviation of
2006 Apr 23
3
bivariate weighted kernel density estimator
Is there code for bivariate kernel density estimation?
For bivariate kernels there is
kde2d in MASS
kde2d.g in GRASS
KernSur in GenKern
(list probably incomplete)
but none of them seems to accept a weight parameter
(like density does since R 2.2.0)
--
Erich Neuwirth, University of Vienna
Faculty of Computer Science
Computer Supported Didactics Working Group
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2012 Dec 19
1
Theoretical confidence regions for any non-symmetric bivariate statistical distributions
Respected R Users,
I looking for help with generating theoretical confidence regions for any
of non-symmetric bivariate statistical distributions (bivariate Chi-squared
distribution<Wishart distribution>, bivariate F-distribution, or any of the
others). I want to to used it as a benchmark to compare a few strategies
constructing confidence regions for non-symmetric bivariate data.
There is
2008 Oct 01
2
Bivariate normal
Package mvtnorm provides dmvnorm, pmvnorm that can be used to compute
Pr(X=x,Y=y) and Pr(X<x,Y<y) for a bivariate normal.
Are there functions that would compute Pr(X<x,Y=y)?
I'm currently using "integrate" with dmvnorm but it is too slow.
2006 Oct 08
2
Generating bivariate or multivariate data with known parameter values
Greetings,
I'm interested in generating data from various bivariate or
mulitivariate distributions (e.g. gamma, t, etc), where I can specify
the parameter values, including the correlations among the variables. I
haven't been able to dig anything up on the faq, but I probably missed
something. A nudge in the right direction would be appreciated.
David
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2003 Dec 16
3
`bivariate apply'
dear all,
Given a matrix A, say, I would like to apply a bivariate function to each
combination of its colums. That is if
myfun<-function(x,y)cor(x,y) #computes simple correlation of two vectors x
and y
then the results should be something similar to cor(A).
I tried with mapply, outer,...but without success
Can anybody help me?
many thanks in advance,
vito
2007 Jul 25
2
Regarding Bivariate normal distribution.
Dear all R gurus,
My question is related to statistics rather directly to R. Suppose
(X,Y) has a bivariate normal distrubution. I want to find two values
of X and Y say x, and y respectively, such that:
P[X<x, Y<y] = 0.05
My questions are :
1. Can x and y be uniquely found?
2. If it is, how I can find them using R
Your help will be highly appreciated.
Thanks and regards,
2003 Sep 17
1
Bivariate Ripley K function
Hello,
I have used the univariate Ripley K function in R, but does anyone know if
there is a bivariate function built in? I have two species that I am dealing
with.
Also, how might I add error bars into the graphs (univariate and/or
bivariate)?
Thank you,
Karin Leiderman
k_leiderman at hotmail.com
Graduate Student/Research Assistant
Department of Mathematics
Univesity of New Mexico
2006 Feb 13
2
bivariate normal distribution
Hi, there.
Does anyone know the R function for calculating the cdf of bivariate
normal distribution function?
Thanks.
Yulei
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