search for: countours

Hi, I have a contour plot and I want to shade a polygon (the area below a line) but the polygon shading wipes out the contour lines. Does anybody know how to shade the polygon and still see the contour lines? Thanks. Jeff

Hello, I used the following codes to generate bivariate normal dependence structure with unit Frechet margins. Sigma <- matrix(c(1,.5*sqrt(1),.5*sqrt(1),1),2,2) # generate y <- mvrnorm(Nsam, c(0,0), Sigma) # random v <- cbind(pnorm(y[,1],mean = 0, sd = 1), pnorm(y[,2],mean = 0, sd = 1)) z <- cbind(-1/log(v[,1]),-1/log(v[,2])) z1 <- z[,1] z2 <- z[,2] And to

Dear R users: I have a dataset with two variables (>20000 observations, two samples from same subject) and I used "kernSur" from library(Genkern) to get a estimated bivariate density and corresponding plots as follows: new.data.normal<-data.normal[!is.na(data.normal[,2]),] x<-new.data.normal[,2] y<-new.data.normal[,3] op <- KernSur(x,y, xgridsize=50, ygridsize=50,

Can some kind person point out my error here? I'm trying to set up a grid for a countour plot of a likelihood function. > u <- rnorm(20,9.5,2.5) > # sample of size 20 from N(9.5,2.5^2) > loglik <- function(th1,th2) { + n <- length(u) + -(n/2)*log(2*pi*th2^2)-0.5*sum((u-th1)^2/th2^2) + } > x <- seq(4.5,14.5,len=50) > y <- seq(0.5,6,len=50) > f <-

New to R, and didn't find the following in the docs. Main use for R. to get feet wet, is to pipe in x,y,z data, one point per line, and plot it in 3d, like this: { echo 1,2,3 echo 2,4,6 ... } | R ... But functions like contour seem to require index vectors that are sorted. I am curious why, and how to convert. Also, I am curious whether any Lisp person has ever written a front end to R

I wonder whether it is possible in R to generate color-coded 3D plots, like the attached example. Basically a function f(x,y) (the 3rd dimension) is rendered through colors intensities. The side color-bar is a guide to the interpretation of the plot. Thank you very much, Maura e tutti i telefonini TIM! Vai su e tutti i telefonini TIM! Vai su

Hi, I would like to draw elliptic confidence interval. I know I can use a package ellpise, but can I do it in this way: I want to draw an ellipse countour i.e. all points in R^2 such that t(x*-x)%*%A%*%(x*-x)<=c, for some x* in R^2 and constant c. A is 2x2 matrix. -- View this message in context: http://r.789695.n4.nabble.com/ellipse-tp4632611.html Sent from the R help mailing list archive

The following code demonstrates an annoyance with plot.lm(): library(DAAGxtras) x11(width=3.75, height=4) nihills.lm <- lm(log(time) ~ log(dist) + log(climb), data = nihills) plot(nihills.lm, which=5) OR try the following xy <- data.frame(x=c(3,1:5), y=c(-2, 1:5)) plot(lm(y ~ x, data=xy), which=5) The "Cook's distance" text overplots the label for the point with the

I discover last week the R software statistics programm, I have a small questions, When we generate a bivariate normal distribution is it possible to plot the generate distribution. The second one if there is a code to generate a bivariate student distribution. If yes i would ask you gratefully a help. Thank you very much