search for: bidimensional

...nce to everyone who will be able to help me. I have 2 independent lognormal distributions with different means and sd. I want to plot them togheter in a 3D plot. How can i do this??? I'm getting crazy... Thanks Ale -- View this message in context: http://r.789695.n4.nabble.com/3-D-plot-of-a-bidimensional-lognormal-distribution-tp4633866.html Sent from the R help mailing list archive at Nabble.com.

I'm a PhD student and I'm working with covariance function. I'm interested to know if exist some packages in R to calculate and plot the bidimensional Autocovariance Function. the input matrix is a matrix that describe a spatial location over a 2-D space and I want to use it in the same way I can use a time serie in the 1-D acf. Thanks, Nicola. ================================================================= Dr. Nicola Marchetti...

I'm a PhD student and I'm working with covariance function. I'm interested to know if exist some packages in R to calculate and plot the bidimensional Autocovariance Function. the input matrix is a matrix that describe a spatial location over a 2-D space and I want to use it in the same way I can use a time serie in the 1-D acf. Thanks, Nicola. ================================================================= Dr. Nicola Marchetti...

I'd like to create a bidimensional presentation of a classification tree built using the rpart() function. I've seen that a partition.tree() function exists for the tree() function. Does a similar function exist for the rpart() function? Thanks a lot Simone Vantini

Hi Spencer, I have seen your name on the web site, and perhaps you can help me with my R problem. I'm trying to use KernSur to put in evidence a substructure in a bidimensional plot. My problem is that, in order to get the density in the low density areas (in which the substructure is located) I should use different bandwidths. How I can do that? Also, I think that the best choice for my case is to use the function "akerdmul" which perform the multivariate adap...

Hi, I would like to know if it is possible to have a "R code" to estimate the parameters of a mixture of bivariate (or multivariate) normals via EM Algorithm. I tried to write it, but in the estimation of the matrix of variance and covariance, i have some problems. I generate two bidimensional vectors both from different distribution with their own vector means and variance and covariance structure. When I create a unique vector, the structure of covariance changes, and so the implementation of the EM algorithm doesn't work. Maybe someone knows the reason. If I fix the starting init...

Hello! the function apply() allows to compute the row sum of a multidimensional table but, when I try to merge the new column with the original table whith cbind(), the grouping varibles disapear and the new table is bidimensional. Knows anybody how to add row totals to a multidimensional table? Thanks in advance Juan Pablo _________________________________________________________________ ?nase al mayor servicio mundial de correo electr?nico: -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-...

...-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Simone Vantini > Sent: Wednesday, November 10, 2004 5:27 AM > To: R-help at stat.math.ethz.ch > Subject: [R] Does something like partition.rpart() exist? > > > I'd like to create a bidimensional presentation of a classification tree > built using the rpart() function. I've seen that a partition.tree() > function exists for the tree() function. Does a similar function exist > for the rpart() function? > Thanks a lot Simone Vantini > > _________________________________...