search for: lavan

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2008 Sep 09
2
densities with overlapping area of 0.35
Hi, I like to generate two normal densities such that the overlapping area between them is 0.35. Is there any code/package available in R to do that?? Regards, Lavan -- View this message in context: http://www.nabble.com/densities-with-overlapping-area-of-0.35-tp19384741p19384741.html Sent from the R help mailing list archive at Nabble.com.
2008 Sep 29
2
density estimate
Hi, I have a vector or random variables and I'm estimating the density using "bkde" function in the KernSmooth package. The out put contains two vectors (x and y), and the R documentation calls y as the density estimates, but my y-values are not exact density etstimates (since these are numbers larger than 1)! what is y here? Is it possible to get the true estimated density at each
2008 Oct 03
1
Point of intersection
...;) abline(0.07,0.01) you can see that the curves intersects at 3 points. My question is how do I mark the point of the intersection? I like to mark it as (x1,y1) as the first point of intersection and so on. or I can just mark the x-coordinate of the 1st intersection as x1 on the x-axis. Thanks, lavan -- View this message in context: http://www.nabble.com/Point-of-intersection-tp19791632p19791632.html Sent from the R help mailing list archive at Nabble.com.
2008 Mar 25
3
derivatives in R
Hi, I posted this message earlier in "Rmetrics" and I don't know whether I posted in the wrong place, so I'm posting it again in Rhelp. I have a function in x and y and let's call it f(x,y). I need to get the Hessian matrix. i.e I need (d^2f/dx^2), (d^2f/dxdy), (d^2f/dydx), (d^2f/dy^2).I can get these using the D function. now I need to evaluste the hessian matrix for
2008 Oct 04
0
difference between sm.density() and kde2d()
...sity. Then I calculated the Kullback leibler divergence meassure between a distribution and the each of the estimated densities, but the asnwers are different. Is there any difference between the kde2d and sm.density estimates? if there is a difference, then which is the best estimate? Thank you, lavan -- View this message in context: http://www.nabble.com/difference-between-sm.density%28%29-and-kde2d%28%29-tp19818014p19818014.html Sent from the R help mailing list archive at Nabble.com.
2008 Oct 19
0
Kullback Leibler Divergence
...x1=seq(-5,5,length=100) d3=dunif(x1,-3,3) y1=cbind(d1,d3) kl1=KLdiv(y1) Notice that kl1 and kl are not the same. the documentation for the package doesn't mention to evaluate the densities at the same points. which one is correct? do I need to evaluate them at the same point or not? Thanks, Lavan -- View this message in context: http://www.nabble.com/Kullback-Leibler-Divergence-tp20056359p20056359.html Sent from the R help mailing list archive at Nabble.com.
2008 Oct 15
0
R-help Digest, Vol 67, Issue 31
...r behaves differently. there's really no point in offending people that get confused by r's details. vQ ------------------------------ Message: 9 Date: Mon, 29 Sep 2008 13:39:20 +0200 From: Eik Vettorazzi <E.Vettorazzi at uke.uni-hamburg.de> Subject: Re: [R] density estimate To: Lavan <rsumithran at yahoo.com> Cc: r-help at r-project.org Message-ID: <48E0BE68.6050801 at uke.uni-hamburg.de> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Hi Lavan, a continuous density is not restricted to be within [0, 1]. Its only bound to have an integral of 1. For exa...