similar to: exactly overlaid semi-transparent lines

Hello all-- I'm attempting to produce overlaid histograms with partially transparent columns. Whether this display will end up being useful, I can't say. But I do want to get it right. I've already got one solution (shown below), but I tried some other versions and had questions about my results. (Note: I'm using a quartz device, so transparency shows up correctly. You might

Hello All I have a very long vector of unique predictor values and 6 significant digits setting for the smooth.spline rounds them off. Is there any way of increasing the significant digits withour recompiling a lot if code (simple editing and tham sourcing of "smooth.spline.r" function does not work, probably due to presence of Fortan functional calls)? Thank you very much in advance

I'm not sure if the gee package is still actively maintained, but I for one find it extremely useful. However, I've come across a few infelicities that I'm hoping could be resolved for future versions. Hope it's okay to list them all in one post! They are: (1) AR(1) models don't fit when clustsize = 1 for any subject, even if some subjects have clustsize > 1. (2) If the

With some help from those with expertise on this list, I managed to produce a plot using trellis that looked like I wanted it to look. Now, I need to take the same plot and make the lines on it color, but I want to specify the color for the lines myself. I've managed to make the key use the colors I want. I've managed to make the symbols of the actual plot use the colors I want. But I

In below graph, I would like to add two vertical lines using panel.abline(). ?Is this possible? Thanks, Naresh mydf <- data.frame(hour = rep(6:20, 2), traffic = c(round(dnorm(6:20, 9, 3) * 10000), round(dnorm(6:20, 17, 4) * 10000)), direction = rep(c("inbound", "outbound"), c(15, 15))) vehicles <- data.frame(hour = 6:20, count = c(100, 120, 140, 125, 105, 80, 70, 75,

I am new to R and am trying to solve the following problem: I have a data file containing tick-by-tick, millisecond level prices for some stocks. I have another file or two containing orders and trades, again, with millisecond time-stamps. Both of these files are irregularly spaced and the time stamps are in an iso format (<date> <time>.<millisecond>) I would like to create a

Hi, I meet a strange trouble writing shapefiles with write.pointShape() from maptools. > write.pointShape(mylines[,5:9], file="Sxtplinshp", mycoordspt) Error in write.pointShape(mylines[, 5:9], file = "Sxtplinshp", mycoordspt) : shapefile names must conform to the 8.3 format It seems that the function request a special shapefile name spelling (conformed to 8.3

Dear R help, Suppose I have a dataframe with three columns named p, v and C. Here C is a function of both p and v. I can plot the surface C(p,v) using the package lattice using the function wireframe. Now if I have another dataframe - with 2 columns named p_ind and v_ind and pind is a function of v_ind. I would like to overlay the plot of the curve p_ind, v_ind and C(p_ind, v_ind) onto my

On Sat, 18 Nov 2023 at 06:44, Naresh Gurbuxani <naresh_gurbuxani at hotmail.com> wrote: > > In below graph, I would like to add two vertical lines using > panel.abline(). Is this possible? I assume you want the 'v' variable in panel.abline() to be interpreted in the context of your x-axis, which here represents a factor variable. Unless two factor variables have the same

Hi, I am facing the problem that I want to plot a histogram chart set freq to true and overlay with normal or weibull or exponential distribution curve. The sample code is shown as below: >samp<-c(-8.2262,-8.2262,-8.2262,-8.20209,-8.09294,-8.07321,-8.07321, -8.07321,-8.07175,-8.04948,-8.04948,-8.04948,-8.03848,-8.03848,

In the following code, the only difference between the two plots is the order the variables are plotted. In this case, the plot of "cdata.den" in plot #1 is different from its plot in #2. Specifically, "cdata.den" spans the x-axis from -5 to 30 in plot #1 and from 0 to 20 in plot #2. Does anyone understand why these two plots do not yield the same result? #Make density

Hi here i have a code to split a csv file as per group of line. The code given below, ------------------------------------ SplitCSVByLine <- function(DataMatrix,Destination,NoOfLineToGroup) { input <- file(DataMatrix, "r") fileNo <- 1 repeat { myLines <- readLines(input, n=NoOfLineToGroup) if (length(myLines) == 0) break

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file:

My setup: R 2.4.0, Windows 2000, Acrobat Reader 7. When I create a .pdf with translucent colors, the translucency works correctly for points, but not for text. Below is some R code that creates a .pdf with this phenomenon. I was going to report this as a bug in R, but then I tried to view the pdf with a couple of other viewers and found that at least one of the viewers correctly displayed the

I'm fitting a GLMM to some questionnaire data. The structure is J individuals, nested within I areas, all of whom answer the same K (ordinal) questions. The model I'm using is based on so-called continuation ratios, so that it can be fitted using the lme4 package. The lmer function fits the model just fine, but using mcmcsamp to judge the variability of the parameter estimates produces

Hi, I am new to R. How can I get labels/different colours on the lines in my xy-plots. I plot "het" against "temp" conditional on "year" and "station". library(lattice) MyLines <- function(xi, yi, ...){ #Draws line in the panels while avoiding spaghetti-plots I <- order(xi) panel.lines(xi[I], yi[I], col = 1)} xyplot(het ~ temp | fstation,

This is a follow up to the message I posted 3 days ago about how to estimate mixed ordinal logit models. I hope you don't mind that I am just pasting in the code and comments from an R file for your feedback. Actual estimates are at the end of the post. ### Subject: mixed ordinal logit via "augmented" data setup. ### I've been interested in estimating an ordinal logit model

This is an announcement of the release of an R package 'formatR', which can help us format our R code to make it more human-readable. If you have ugly (I mean unformatted) R code like this: ?# rotation of the word "Animation" # in a loop; change the angle and color # step by step for (i in 1:360) { ? # redraw the plot again and again

This is an announcement of the release of an R package 'formatR', which can help us format our R code to make it more human-readable. If you have ugly (I mean unformatted) R code like this: ?# rotation of the word "Animation" # in a loop; change the angle and color # step by step for (i in 1:360) { ? # redraw the plot again and again

Hi, The added support for semi-transparent colours in `windows' under R-2.6.0 for Windows is much appreciated. However, I've discovered that issuing a `layout' (or `par' with arguments `mfcol'/`mfrow') call and then trying to plot several figures with semi-transparent colour on the same page results in only the first one being fully drawn. E.g. > x <-