similar to: panel.linejoin groups

Hello R Users! I'm trying to use the panel.linejoin function to draw points and lines (type="o") but it wouldn't do it. Modifying the panel.linejoin function as such (adding type argument to the panel.lines call). *original* panel.lines(vals[xx], yy, col = col.line, lty = lty, lwd = lwd, ...) *modified panel.lines(vals[xx], yy, col = col.line, lty

Hi, I'm having an issue with subregisters on my target. With a pseudo that writes to a 32 bit reg: %vreg20<def> = toHi16_low0_pseudo %vreg2; reg32:%vreg20 hi16:%vreg2 expands to %vreg2<def> = COPY %a2h; hi16:%vreg2 %vreg43<def> = mov 0, pred:0, pred:%noreg, %ac0<imp-use>, %ac1<imp-use>; lo16:%vreg43 %vreg20<def> =

Dear All, I am using xyplot() with many groups like this: statselect <- levels(dat$stat) xyplot(relmse~T|lambda, groups=stat, data=dat, panel = panel.superpose, key=simpleKey(statselect, lines=T)) However, I want lines not scatterplots and if I set panel.groups=panel.linejoin that connects the lines according to the relmse and not according the consecutive values of T. Is there

Hi, I have the following code: %a1<def> = COPY %a0<kill> ... %a0h<def> = COPY %a1l , as input to MachineCopyPropagation. The second copy is illegally erased! This is wrong, because it is the low part of a1 that is copied to the high part of a0. At a first glance, it seems that if (!ReservedRegs.test(Def) && (!ReservedRegs.test(Src) ||

R users, I am creating a series of scatterplots with Lattice's xyplot(). Some of the plotting symbols are squares with thick borders. The corners of the squares are rounded by default; I would like them to be square. In base graphics this is easily done with par(ljoin = "mitre"), and in grid graphics with gpar(linejoin = "mitre"). Is there an analogous parameter in

[Env: R 2.14.2 / Win Xp] In the examples below, I'm using lattice::bwplot to plot boxplots of 4 variables, grouped by a factor 'epoch' which also corresponds to a numeric year. I'd like to modify the plots to position the boxplots according to the numeric value of year, but I can't figure out how to do this. Also, I'd to modify the strip labels that give the variable

Hi, I'm creating some lattice plots that have a key and I'd like to put a label on the key. The problem is that the text label for the key prevents the values of the group variables from being shown (see example below). I don't think that this is a feature, but I might be abusing the title arg for key. I'm using R Version 2.3.0 (2006-04-24) on Windows XP and lattice V0.13-8

Hello everybody, Could I consult you two questions? Recently I write some code about lattice plot. 1) bwplot function I know the lattice default background color is grey and the box color is green, but I don't like the color. So I change the background color to white use the > trellis.device(bg="white") then I modify the > panel=function(...) +{ +

Hello, I am new to R, and I am trying to figure out how to use it for a random effects model. I am using version 2.4.0, and I also have the book Applied Linear Regression by Sanford Weisberg. I have four variables: Swimmer, Sex, Swim, and Difference. Swimmer identifies the number assigned to a particular person. Sex is male/female. Swim identifies the number swim from 1 to 6. Difference

Hello, I'm running into a frustrating problem with the legend on a lattice plot I'm working with. The plot is a stripplot with a panel.linejoin () line running through the mean of each of the categories. Thus there are both points and lines in the plot. In trying to make a key for the plot, I can't figure out how to make a legend for both the points and the lines. What I'd

Dear list, I have following plot, where I have set the color (red and green) and lines (lty=2:3) in the panel.groups but can't not figure out how change the lines and color of the legend in the "key" to the same lines and color as in the panel.groups. bwplot(means ~ age | scales , dat, panel = "panel.superpose", groups = sex,scales = list(x = list(rot =

Dear list, Is there a way to reorder the xaxis using lattice. Using the following data, the x-axis is ordered as BP GH MH PF RE RP SF VT but I would like the x-axis to be ordered as PF RP BP GH VT SF RE MH. Kön Skalor Tillfälle Medelvärde 1 Kvinnor BP 1-inskrivning 36.45283 2 Kvinnor GH 1-inskrivning 38.62255 3 Kvinnor MH 1-inskrivning 62.88889 4

hello everybody, I want to print two plots in one png file, I tried several options but i didn't succeed the first plot (bwplot) print to the defined position, but the second (ggplot) doesn't Any idea? Thanks a lot Christophe # Example: #------------------------------------- library(ggplot2) library(lattice) library(grid) one <- bwplot(decrease ~ treatment, OrchardSprays, groups

I have a data frame with three columns, type (a factor with two values: "Monolithic" and "Compositional"), size (numeric), and states (numeric). I want to create a plot where size goes on the x-axis and states goes on the y-axis. In this plot, I want two lines, one where the type is "Monolithic" and one where the type is "Compositional". I think this can

Hi, The behavior of panel.average has changed. In March 2010, I plotted the attached r_plotViolinOfAnnualE_old.eps. (I don't know the version of R). Today, I plotted the attached r_plotViolinOfAnnualE_new.eps using R version 2.12.0 (2010-10-15). Both figures were produced via the same script: ... plot <- bwplot(year ~ Eann, data=df, horizontal = T, xlab = "E / mSv", ylab =

Hi, I'm having a problem getting the panel.average function to work as I expect it to in a lattice plot. I wish to draw lines between the averages of groups of y-values at specific x-values. I have created a dataset below which is similar to my real data. I also show an example of using panel.loess in place of panel.average; it performs in a manner similar to what I want panel.average to do

Hi useRs, I am trying to calculate the Sharpe ratio with "sharpe" of the library "tseries". The documentation requires the univariate time series to be a portfolio's cumulated returns. In this case, the example given data(EuStockMarkets) dax <- log(EuStockMarkets[,"FTSE"]) is however not the cumulated returns but rather the daily returns of the FTSE

Hola lista, tengo una base de datos muy grande de un datalogger. Consiste en un vector con 0's y 1's, y tengo que ver cuando hay 600 o más unos seguidos. Se me ocurrió hacerlo con un loop for. Pero tarda demasiado. También intente usar which para que seleccione solo los 1 para empezar a sumar pero no hay gran diferencia. A alguien se le ocurre alguna solución para hacerlo más rápido? Acá

Readers, The attempt is to create a bar plot with text labels adjacent to each datum value. Data file: 1,3,A 1,8,B 1,1,C 1,9,D 2,5,C 2,4,E 2,2,F 2,0,G testbarplot<-read.csv('data1.csv', header=FALSE) barplot(axes=FALSE, ann=FALSE, horiz=TRUE, testbarplot[,2], ylab= 'group', xlab= '(x values)', space=c(1,0,0,0, 1,0,0,0)) text(testbarplot[,2], testbarplot[,1],

On Mon, 15 Jul 2002 08:39:05 +0100, Paul Hewson <PHewson at devon.gov.uk> wrote regarding "RE: [R] lattice question: adding slopes to bwplot" Hi, Thanks. It made sense indeed: enough to discover the panel.linejoin function which does what I was looking for. <error here> I also understand now why I didn't find this, and associated, routine: