similar to: Plot of 3d stock price density

Hi, I want to format my axis in my persp3d plot. With my data, which I attached I created a persp3d plot with the following code, which I summarized from different code snippets I found: library(rugarch)library(rgl)library(fGarch)fd <-as.data.frame(modelfit,which ='density')color <-rgb(85,141,85,maxColorValue=255)x <-seq(-0.2,0.2,length=100)y <-c(1:2318)f

Dear List, I want to use transparency in R to represent downweighting of observations based on clusters (repeated observations in a dataset). Some clusters will have identical covariate values in a parameter space -- in the 2D x,y case, these represent a bunch of semi-tranparent dots in the same place. I'd like these overlapping dots to be completely opaque. In other cases, the

Hello, I can't seem to add transparency to any color ramp I create using colorRampPalette(). Can someone tell me if it is possible to create transparent colour ramps? I am attempting to map shaded relief under elevation data. I know I can use the terrain.colors() with the alpha option, but I would prefer to create my own colour ramp using more vibrant colours. My most recent attempt at

Hi guys, I use R 2.6.2 and Windows XP. I’ve got the following question: I wrote a lot of text into the margin of a plot. When I use the “jpeg”-function, only a little part of the margin text is displayed in the final jpeg? Any ideas to change it? Source-Code: datenbankdaten<-data.frame(LETTERS[1:20],

Dear "R-listers" I've been trying to figure out how to annotate charts in ggplot (ie add text to line charts, highlighted boxes etc). By and large, I can get close to what i want with base graphics, but would ideally like to use ggplot whenever possible (additionally, i would like to add text labels automatically to the chart). The code is below I suspect I need to use geom_rect,

Hi, I want to make model selection with regsubsets. My code is: a<-regsubsets(Gesamt ~ CommunistSocialist + CountrySize + GNI + Lifeexp + Schoolyears + ExpMilitary + Mortality + PopPoverty + PopTotal + ExpEdu + ExpHealth, data=olympiadaten, nbest=2) summary(a) plot(a,scale="adjr2") (output attached) The problem is now, that I want to fit the best model again "manually"

Hello, I have quite a simple problem that I believe can be solved quite easily. I have a dataframe as such: Symbol Date Time Exchange TickType ReferenceNumber Price Size 1 3:YMZ7.EC 12/03/2007 08:30:00 EC B 83916044 13387 9 2 3:YMZ7.EC 12/03/2007 08:30:00 EC A 83916045 13388 1 3 3:YMZ7.EC 12/03/2007 08:30:00 EC B 83916054

Hi, This is probably trivial to most people out there, but I'm struggling with this. I have a data set which contains the closing prices (properly adjusted for dividends and splits) for several hundred securities and the closing prices for a general stock market index (S&P 500). I have no problem getting it into R with RODBC and manipulating it. There are no missing values. I can

hi, the code below produces me two curved lines. Now I want to fill the space between these curves with a color and I don't have any idea how to do that with R. I tried it with the polygon() function but it didn't worked out. Can someone her give me a hint on that? thanks! x1 <- c(0.0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2,1.3,1.4,

Hello! Happy Holidays! I have a question about citing stock price data downloaded via Quantmod, please. Of course, I will cite Quantmod. Do I also need to cite Yahoo Finance as the actual source of the data, please? Also, I'm not sure if this is a question for the Finance sig, but thought I would start here. Thank you. Erin Hodgess, PhD mailto: erinm.hodgess at gmail.com [[alternative

Dear R Helpers, I have searched for any R package or code for simulating multivariate fractional Brownian motion (mFBM) or multivariate fractional Gaussian noise (mFGN) when a covariance matrix are given. Unfortunately, I could not find such a package or code. Can you suggest any solution for multivariate FBM and FGN simulation? Thank you for your help. Best Regards, Ryan ----- Wonsang You

Hi, I have a scatter plot of the variables GNI and Lifeexp (Gross National Income and Life Expectancy, both metric). So I plotted them and I want to add a regression line and a lowess line. I use lowess and not loess because I have missing values. My code: plot(GNI,Lifeexp) abline(lm(Lifeexp~GNI), col="red") y.loess<-loess(Lifeexp~GNI,na. action = na.exclude)

Preamble: Sorry for being dense. Now that that's done, here are my questions. I want to put a polygon on a plot of a time series. I'm going to add lines from a smooth.spline interpolation and other annotation to it. But here's the general idea: # Start code n <- 121 dat <- rnorm(n) plot(dat, type="n") polygon(c(1:n,n:1), c(dat,c(rep(0,n))), col =

Hi list, I'm trying to generate fractional brownian surfaces in R. [A detailed description with respect to various techniques to generating these neutral landscapes has been described by Timothy Keitt (spectral representation of neutral landscapes, Landscape Ecology, 2000) and probably various other authours.] Are there any packages that deal with this or related items? I've been

For a function that takes an argument as a list of lists of parameters, I'd like to be able to convert that to a data.frame and vice versa, but can't quite figure out how. pats <- list(structure(list(shape = 0, shape.col = "black", shape.lty = 1, cell.fill = "white", back.fill = "white", label = 1, label.size = 1, ref.col = "gray80",

I would like to plot multiple random walks onto the same graph. My p variable dictates how may random walks there will be. par(mfrow=c(1,1)) p <- 100 N <- 1000 S0 <- 10 mu <- 0.03 sigma <- 0.2 nu <- mu-sigma^2/2 x <- matrix(rep(0,(N+1)*p),nrow=(N+1)) y <- matrix(rep(0,(N+1)*p),nrow=(N+1)) t<- (c(0:N))/N for (j in 1:p) { z <- rnorm(N,0,1) x[1,j] <- 0 y[1,j]

Dear all, I have just uploaded to CRAN the version 1.6 of the package 'adehabitat'. Significant changes are listed below: * The package has been reorganized into four parts (see ?adehabitat-package for a description): (i) management of raster maps, (ii) habitat selection / ecological niche analysis, (iii) home range analysis, and (iv) analysis of animals trajects. The package contains

Dear all, I have just uploaded to CRAN the version 1.6 of the package 'adehabitat'. Significant changes are listed below: * The package has been reorganized into four parts (see ?adehabitat-package for a description): (i) management of raster maps, (ii) habitat selection / ecological niche analysis, (iii) home range analysis, and (iv) analysis of animals trajects. The package contains

I am having trouble getting my facets colored with "concentric" colors by z level. This code give a fair representation of my problems dealing a real dataset cmtx <- matrix(, nrow=10, ncol=10) cc <- (row(cmtx)-5)^2 + (col(cmtx)-5)^2 cc #---------- [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 32 25 20 17 16 17 20 25 32 41 [2,]

Hi, I have been using maxLik to do some MLE of Geometric Brownian Motion Process and everything has been going fine, but know I have tried to do it with jumps. I have create a vector of jumps and then added this into my log-likelihood equation, know I am getting a message: NA in the initial gradient My codes is hear # n<-length(combinedlr) j<-c(1,2,3,4,5,6,7,8,9,10)