similar to: shade between two curves

Is there a function that provides the Fisher information matrix for a generalized linear model? I do not see how to access the off-diagonal matrix elements of the value returned by glm. (I'm particularly interested in logistic regression.) If not, what is a good way to use R to compute Hessians or other partial derivatives of log likelihoods? I would appreciate any guidance. David

Dear Listers, I am drawing a plot of two density curves, for male and female incomes. I would like to shade/hatch/color (whatever) the areas under the curves which are distinctive for each gender. This is the code I have tried so far: m <- density(topmal.d$y, bw = "sj") f <- density(topfem.d$y, bw = "sj") par(mfrow = c(1,1)) plot(x = c(0,400), y = c(0,0.02), type =

I have a set of 52 weekly values, one is the desired high lake stage for a week, and the other is the desired low lake stage for each week. It looks like this: week High Low 1 16 14.5 2 16 14.5 3 15.95 14.45 4 15.84 14.34 5 15.73 14.23 6 15.61 14.11 7 15.5 14 8 15.38 13.88 9 15.25 13.75 10 15.13 13.63 .... 52 15 13.5 I can plot out two nice curves

Hello, I have a question regarding shading regions under curves to display 95% confidence intervals. I generated bootstrap results for the slope and intercept of a simple linear regression model using the following code (borrowed from JJ Faraway 2005): > attach(allposs.nine.d) > x<-model.matrix(~log(d.dist,10))[,-1] > bcoef<-matrix(0,1000,2) > for(i in 1:1000){ +

Does anyone know how to use the equivalent of debug() on an S4 method? I would like R to enter the browser not for the generic function, but for the method of the class that I specify. Thanks, David _____________________________ David Bickel http://davidbickel.com Research Scientist Pioneer Hi-Bred International Bioinformatics & Exploratory Research 7250 NW 62nd Ave., PO Box 552 Johnston,

What are some effective ways to leverage the strengths of R and Mathematica for the analysis of a single data set? More specifically, are there any functions that can assist with any of the following? 1. Calling an R function from Mathematica. 2. Calling a Mathematica function from R. 3. Using XML or another reliable data format to pass vectors, matrices, and/or lists from one environment to

Given a numeric vector of observations, does R have any generic way to estimate the parameters of commonly used distributions (exponential, gamma, etc.) without numerically optimizing the likelihood function? Thanks, David _______________________________________ David R. Bickel http://davidbickel.com Research Scientist Pioneer Hi-Bred International Bioinformatics & Exploratory Research 7250

Is there a way I can get R to automatically enter the browser inside a user-defined function on the generation of an error? Specifically, I'm trying to debug this: Error in as.double.default(sapply(lis, FUN)) : (list) object cannot be coerced to double In addition: There were 38 warnings (use warnings() to see them) > traceback() 8: as.double.default(sapply(lis, FUN)) 7:

Is there any R function that computes the convolution of the double exponential distribution? If not, is there a good way to integrate ((q+x)^n)*exp(-2x) over x from 0 to Inf for any value of q and for any positive integer n? I need to perform the integration within a function with q and n as arguments. The function integrate() is giving me this message: "evaluation of function gave a

R never gave me any serious problems until I tried to use it on Windows XP. I had 1.8.1 installed and working successfully for a few weeks. This morning when I launched it, I received this error message: "R for Windows GUI front-end has encountered a problem and needs to close. We are sorry for the inconvenience." I downloaded 1.9.0 and installed it, but when I launch it, I get this

Hi, I'm sure this should be fairly simple to do but I haven't found an example. I have 10 data points which are plotted as a line, I want to shade under this line with a colour. Other examples have shading under curves where there are two sets of data use polygons. mydata <- c(268,251,254,250,244,246,247,243,241,243) plot(mydata, type="o")

Hi, I want to make a plot with abline where the area below or above the curve is shaded. I can't find any documentation on that. Can anybody help me with that? thanks, Juffi

Does anyone know how to interrupt R in RedHat? Neither control-c nor Esc is working. What I don't want to do is close the window or kill the entire R process. Thanks, David This communication is for use by the intended recipient and ...{{dropped}}

Hello again With the poylgon function it's possible to plot shaded areas under a curve. But somehow it connects the start and the endpoint of a line and fills whats between them. I would actually like to set the boarders of the shading by two min and max curves, but I failed. i tried stl like: polygon(min, max, border=0), where min and max are my curves plotet by plot(max) lines(min)

I want to shade the area under the curve of the standard normal density. Specifically color to the left of -2 and on. How might i go about doing this? Thanks -- View this message in context: http://n4.nabble.com/Shade-area-under-curve-tp1586439p1586439.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I've got this graphics question which really should be easy. I want to shade an area between bounds under a curve. A suitable beginning seems to be the following: > plot(dnorm,-4,4) > segments(-4,0,4,0) > segments(-2,0,-2,dnorm(-2)) > segments(2,0,2,dnorm(2)) It is the area between -2 and 2 which I want to shade (or something similar). Hints anyone? Robert

Dear R-Community, I have the following problem and was wondering whether someone could help me out. I have a number of time series of discharge (up to 3000 data points in some cases) which I would like to compare on the same line plot by shading the area between some of them. Can anyone tell me how to do that? I have tried to fiddle around with the polygon function, but the curves interact a

I'm making some illustrations and it would be convenient to automatically shade the overlapping portions of circles. These illustrations are for Social Choice theory, a field in political science and economics. I've wrestled together some examples so you can see what I mean, but have not mastered the "color overlapping sections" problem (as you will see):

After reading the help page on set.seed, I am unsure about how to solve the following problem. I need to call function f a thousand times. The list of values returned by f, should be as random as possible. f calls g twice: f <- function(){g1 <- g(1); g2 <- g(2); c(g1; g2)} The function g in turn calls sample and returns a number, but also depends on its argument, so, starting from the

I'm trying to shade part of a density plot. The code I'm trying (using the Old Faithful data as an example) is something like this: # The Old Faithful geyser data data(faithful) d <- density(faithful$eruptions, bw = "sj") plot(d) polygon(d[d$x>4], col = "wheat") I expected that the part of the curve to the right of 4 on the x axis should be shaded, but nothing