Displaying 6 results from an estimated 6 matches for "dens2".
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2012 Apr 25
2
comparison of bivariate normal distributions
...rary(mvtnorm)
c<-data.frame(rnorm(1000,5,sd=1),rnorm(1000,6,sd=1))
c2<-data.frame(rnorm(1000,10,sd=2),rnorm(1000,7,sd=1))
xx=seq(0,20,0.1)
yy=seq(0,20,0.1)
xmult=cbind(rep(yy,201),rep(xx,each=201))
dens=dmvnorm(xmult,mean(c),cov(c))
dmat=matrix(dens,ncol=length(yy),nrow=length(xx),byrow=F)
dens2=dmvnorm(xmult,mean(c2),cov(c2))
dmat2=matrix(dens2,ncol=length(yy),nrow=length(xx),byrow=F)
contour(xx,yy,dmat,lwd=2)
contour(xx,yy,dmat2,lwd=2,add=T)
##############################################
Is their an easy way to do this (maybe with dmvnorm()?) and could I interpret the intersect ("s...
2013 Mar 20
3
highlight overlapping region of two densities
Hi all.
I would like to highlight overlapping regions of two densities and I could
not find a way to do it.
Here is the sample code:
myd <- c(2,4,5, 4,3,2,2,3,3,3,2,3,3,4,2,4,3,3,3,2,2.5,
2, 3,3, 2.3, 3, 3, 2, 3)
myd1 <- myd-2
plot(range(density(myd)$x, density(myd1)$x), range(density(myd)$y,
density(myd1)$y), type = "n")
lines(density(myd), col=1, lwd=4)
2009 Nov 25
3
Concave hull
Dear friends,
Do you know how to calculate the CONCAVE hull of a set of points (2-
dimensional or n-dimensional)? is that possible in R? (With a "smoothing"
parameter of course).
Best,
--
Corrado Topi
Global Climate Change & Biodiversity Indicators
Area 18,Department of Biology
University of York, York, YO10 5YW, UK
Phone: + 44 (0) 1904 328645, E-mail: ct529 at york.ac.uk
2001 Oct 22
2
OT: compare several graphs
Hi all,
this is OT, but maybe someone can give me a clue. I've got data from eye
tracker experiments (750 data points). These figures show how the data
lock like
|** * ***** |*** ******
| ** **** | * *
| | * *
| | *
|-------------- |---------------
Y axes display velocity, x axes display time, * are the data points.
2001 Sep 05
3
Fitting distributions
Are there any functions in R for fitting distributions? In particular, I
would like to fit the weibull and extreme-value distributions when:
i) the data are given and the maximum likelihood estimates are required;
ii) the sample moments are available but the complete data record is not
(so moment estimates are required).
Any suggestions will be gratefully received.
2002 Nov 14
1
evaluating density objects
An object of class `density' has `x' and `y' components, which are what you
need to do the plot. Just bind them into a matrix and use write() to write
to a file.
HTH,
Andy
-----Original Message-----
From: Hinnerk Boriss [mailto:boriss at izbi.uni-leipzig.de]
Sent: Thursday, November 14, 2002 7:12 AM
To: R-help at stat.math.ethz.ch
Subject: [R] evaluating density objects
Hi!
Is