Displaying 20 results from an estimated 1000 matches similar to: "(OT) Does pearson correlation assume bivariate normality of the data?"
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
[[alternative HTML version
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.
---------------------------------
[[alternative HTML version deleted]]
2005 Jan 27
2
Results of MCD estimators in MASS and rrcov
Hi!
I tested two different implementations of the robust MCD estimator:
cov.mcd from the MASS package and
covMcd from the rrcov package.
Tests were done on the hbk dataset included in the rrcov package.
Unfortunately I get quite differing results -- so the question is whether
this differences are justified or an error on my side or a bug?
Here is, what I did:
> require(MASS)
>
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) :
2011 Jul 13
2
Package rrcov, functions PcaCov, PcaHubert, PcaGrid
Hello,
I'm using the R-2.13.1 version in Windows and I'm trying to do a robust Pca
with the following:
x<-matrix(0.5,30,30)
library("rrcov")
y<-PcaCov(x)
The following error occurs:
Error: diff(sv)<0 ist not all TRUE
The same error occurs with the other functions. What does this mean and how
can I perform the robust PCA with these functions by using a quadratic
2014 Sep 26
1
Why is my R package still compiling with the O2 flag?
When I install an R package with cpp codes such as rrcov via CRAN (under
R 3.1.1, using no Makevars file and under Ubuntu 14.04 using GCC 4.8),
the cpp code is compiled with the -o3 flag (in fact, looking at the
Makeconf file this seem to again be the default since R 3.1.1) But when
I install my own package via CRAN it is compiled with the -o2 flag.
My questions are what is causing my
2012 Apr 16
2
Problems with subset, droplevels and lm: variable lengths differ
[Env: R 2.14.2 / Win Xp]
In the script below, I want to select some variables from
rrcov::OsloTransect, delete cases with
any missing data, and subset the data frame Oslo to remove cases for two
levels of the
factor litho that occur with low frequency.
The checks I run on my new data frame Oslo look OK, but I when I try to
fit a multivariate
linear model with lm(), I am getting an error:
2013 Mar 06
0
how to construct bivariate joint cumulative pdf from bivariate joint pdf
Hello,
I am using sm.density() to find the bivariate joint PDFof events:
For eg,
x<-cbind(rnorm(30),rnorm(30))
den<-sm.density(x)
Then I get the joint pdf from den$estimate in order to constructthe
joint cumulative PDF.
However, summing up all the values from den$estimateisnot equal to
1(have multipliedby the grid size).
Anyone could help?
Thanks.
mc
[[alternative HTML version
2011 Oct 19
0
R classification
hello, i am so glad to write you.
i am dealing now with writing my M.Sc in Applied Statistics thesis, titled " Data Mining Classifiers and Predictive Models Validation and Evaluation".
I am planning to compare several DM classifiers like "NN, kNN, SVM, Dtree, and Naïve Bayes" according to their Predicting accuracy, interpretability, scalability, and time consuming etc.
I have
2005 Sep 01
0
Robust Regression - LTS
Hi,
I am using robust regression, i.e. model.robust<-ltsreg(MXD~ORR,data=DATA).
My question:- is there any way to determine the Robust Multiple R-Squared
(as returned in the summary output in splus)? I found an equivalent model in
the rrcov package which included R-square, residuals etc in it's list of
components, but when I used this package the only results returned were
equivalent to
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 Jan 01
2
How to calculate density function of Bivariate binomial distribution
Am trying to do some study on bivariate binomial distribution. Anyone knows
if there is package in R that I can use to calculate the density function of
bivariate binomial distribution and to generate random samples of it.
Thanks,
--
View this message in context: http://n4.nabble.com/How-to-calculate-density-function-of-Bivariate-binomial-distribution-tp992002p992002.html
Sent from the R help
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.
--
View this message in context:
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
[[alternative HTML version deleted]]
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
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
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
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
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