similar to: barplot and ylim - display problems

Dear all, I have a large vector (lets call it myVector) and I want to plot its value with the logic below yaxis<-myVector[1] yaxis<-c(xaxis,mean(myvector[2:3]) yaxis<-c(xaxis,mean(myvector[4:8]) yaxis<c(xaxis,mean(myvector[9:16]) yaxis<c(xaxis,mean(myvector[17:32]) this has to stop when the new ..... yaxis<c(xaxis,mean(myvector[1024:2048]) will not find the correspondent number

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I have some code as shown below. Basically, I would like three boxplots to be set next to each other with no ylabels on the two "inner" plots, and I want the same x axis range on all three. However, it seems like boxplot does not respect the xlim setting. I've tried the various ways I thought would work (par, boxplot(...xlim=)) but none of them seem to work. I then tried plot.window,

Hi R list, I like the default ticks that are set up using grid.xaxis() or grid.yaxis() with no arguments. Finding good values for the 'at' argument is usually not a trivial task; the default behavior of these functions seems to work well. The problem with this strategy is that I cannot figure out how to "recover" the positions of these ticks when you do NOT specify the

Hello, I am trying to create a graphic to help me visualise data. A (very simplified) sample of the data is http://n4.nabble.com/file/n1839676/circle_data.txt circle_data.txt : Aug-07 Nov-07 Feb-08 data1 1 1.5 -1 data2 1 1.2 1.6 data3 1.3 1.4 1.8 data4 1.3

I need to make a fairly complex animated graphic and decided to use grid for it. A very simple example of what I need: ##============================================================================== library(grid) grid.newpage() pushViewport(plotViewport()) pushViewport(viewport(xscale = extendrange(c(0, 100)), yscale = extendrange(c(0, 100)))) grid.xaxis() grid.yaxis()

Hi everyone,I'm trying to figure out how to use gPath and the documentation is not very helpful :( I have the following plot object: plot-surrounds:: background plot.gTree.378:: background guide.gTree.355:: (background.rect.345, minor-horizontal.segments.347, minor-vertical.segments.349, major-horizontal.segments.351, major-vertical.segments.353) guide.gTree.356::

Can anyone tell me how to plot on the same graph two different functions (of x) using two differnt y scales (axes 2 and 4)? Thanks Nelson

Hello I'm plotting a large suite of barcharts and need to modify the size of the text for both the yaxis and xaxis labels. I've tried using the following: > trellis.par.set(list(par.ylab.text = list(cex = 0.65)), trellis.par.set(list = par.xlab.text = list(cex = 0.65)))) On inspection, however after I invoke this line, > trellis.par.get("par.ylab.text") >

I am attempting to generate a series of plots with cubic B-Splines and the code I am using is generating the following error message that I have been unable to resolve. Error in grid.Call.graphics("L_xspline", x$x, x$y, x$shape, x$open, x$arrow, : add_point - reached MAXNUMPTS (25200) This is the code that generates this error. plot.results <- function(dfn) { dt <-

Hello all, I have used describeBy to generate the following summary statistics. I simply need x and y error bars on a plot that has CQN (xaxis) and Price (yaxis). There should be four total points on the graph (one for each supplier). Using "error.crosses(desc$CQN, desc$Price)" does not work. group: a vars n mean sd median trimmed mad min max range skew CQN

How do I plot using multiple(2) y-axes? I have two series that use the same x-data, but have very different scales. Appreciate any feedback, Per Bak

Hello everyone, I have tried to look for this everywhere and so far have no luck. I have a plotMeans(DV, IV1, IV2, error.bars="se") graph that plots my data (DV-continuous, IVs are factors, IV1 - two levels, IV2-four levels). I am trying to increase a scale of my y-axis (to be consistent with my other graphs), but unfortunately nothing works with "plotMeans" function, which

Hello, I plotted a nice tree with "ctree" . It shows 3 nodes with the prediction of my 2 groups. (see picture) Unfortunately I need a larger scale to read the exact prediction of my groups to get the specificity and sensitivity. I tried to change the scale with "axis" but it didn't work, my guess because it's not a normal graph with x and y axis. Has someone an idea

Hello all, I have been using R for about 3 weeks and I am frustrated by a problem. I have read R in a nutshell, scoured the internet for help but I either am not understanding examples or am missing something completely basic. Here is the problem: I want to plot data that contains dates on the x axis. Then I want to fit a line to the data. I have been unable to do it. This is an example of

In "normal" plots, I can do an axis at side = 2 and a different one at side = 4. I've not been able to figure out how to do the same thing with lattice plots. The scales list can have only one sublist named y. I had thought of using a separate viewport alongside with the text for the axis label, but I can't see how I could get the ticks to work. Ideas appreciated. Thanks.

Hey all, I get the following error. Now I know it''s related to a curly brace, but it seems that all curly braces are properly in place. So I''m not sure why I get this error: SyntaxError in DashboardController#panels rails/app/controllers/dashboard_controller.rb:170: syntax error, unexpected ''\n'', expecting tASSOC def panels addDetailToContainer =

Hi, I'm trying to use Grid plots and would like to have an X axis that represents dates. I have several years of data so I would like to be able to have labeled tick marks only intermittently (not one per date). I can transform the initial data from a date time string into POSIXlt or POSIXct, or Date objects. The issue is that when I try to layout the plot using: dev.off() pushViewport(

Hello list, When using the grid package in R 1.60 under windows grid.lines and grid.line.to seem not to use the coordinate system as defined by the current viewport whereas grin.points does. Am I doing something wrong? Sten -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

I wish to have inward-pointing ticks on my contourplot graph, but the colored background produced by the "region=TRUE" statement covers the ticks up, is there any way around this? Sample code below. --Seth library(lattice) model <- function(a,b,c,d,e, f, X1,X2) # provide model function for contour plot {J <- a + (b*X1) + (c*X2) + (d*X1*X2) + e*(X1^2) + f*(X2^2) pp