search for: countour

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

...phi=10,expand=0.5,ltheta=120, xlab="TECH3661.A",ylab="TECH3661.B",zlab="Prob",col="pink", , main="3D DENSITY PLOT-TECH3661 ", sub=" TECH3661.A AND TECH3661.B", box = T, axes = TRUE,ticktype = "detailed", ) #countour plot image(op$xvals, op$yvals, op$zden, col=terrain.colors(100), axes=TRUE,xlab="TECH3661.A",ylab="TECH3661.B") points(x,y,pch="*") Now after above step, how can I use 'contour' or other commands to draw ellipse curves over above plots indicating "inc...

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 &lt...

...d 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 that translates Lisp syntax to R. e.g. (countour x y f) -> contour(x,y,f). Thanks.

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 at Nabble.com.

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