similar to: Prettier axis labels when using log scales in Lattice

Good day all, I'm trying to plot a continuous line plot, which is followed by two forecast points eg. one forecast point is 12 months out, and another 24 months out from the last date of the line plot. In my attempts so far, the second plot (the forecast points) is scaled against a new axis scale, thus the two plots are not directly comparable (I need the forecast points to be scaled

Full_Name: Marc Paterno Version: 2.9.2 OS: Mac OS X 10.5.8 Submission from: (NULL) (99.53.212.55) summaryBy() produces incorrect results when given some data frames. Below is a transcript of a session showing the result, in a data frame with 2 observations of 2 variables. ------------------- thomas:999 paterno$ R --vanilla R version 2.9.2 (2009-08-24) Copyright (C) 2009 The R Foundation for

Hello, I am trying to write a new "top level" Trellis/lattice function. By "top-level", I mean a function like 'xyplot', 'histogram', 'bwplot', etc. These functions all call 'trellis.skeleton', which I am unable to call; an attempt to invoke the function that does so yields the error message: ----- Error in do.call("trellis.skeleton",

Hello everyone, I would like to create a "dynamic" array to keep storing number in it for (i in c(2:length(final))){ myarray <-final[i]-final[i-1] myarray2<-2*final[i] } At the end I would like to use myarray as the x values of an array and the myarray2 as the yvalues of the same array. I tried cbind but it didnot work. Could you please help me with that? Best

Hi all, my mail is a follow up of this thread http://tolstoy.newcastle.edu.au/R/e12/help/10/11/4172.html. I'm trying to alter the labels of an xyplot where the y variable is in the order of millions (cell counts) I've found plenty of examples on the R mailing list archives as well as in the book Lattice: Multivariate Data Visualization with R at chapter 8. Unfortunately all the

R-Help community, I understand that data.frames can hold elements of type double, string etc but NOT objects (such as a matrix etc). This is not convenient for me in the following situation. I have a function that takes 2 inputs and returns a vector: testfun <- function (x,y) seq(x,y,1) I have a data.frame defined as follows: testframe<-data.frame(xvalues=c(2,3),yvalues=c(4,5)) I would

After a long and winding road (sorry but I'm a novice) I get to a final result which is quite close to what I need; nevertheless I would like to tweak a little further the xyplot so that I can get ***for each single panel defined by variable z*** a finer control over: -the x and y the limits: I would like to be the same for both axes; -the number of thick marks: again I would like to be same

This is my reproducible example tv.ms<-structure(list(inq = structure(4:17, .Label = c("D4", "D5", "D6a", "D6b", "D6c", "D7", "D8", "F4", "F5a", "F5b", "F6a", "F6b", "F6c", "F6d", "F7a", "F7b", "F8"), class =

Suppose I create an R program called myTest.R with only one line like the following: type <- as.integer(readline("input type (1: type1; 2: type2)? ")) Then I'd like to run myTest.R in batch mode by constructing an input file called answers.R with the following: source("myTest.R") 1 When I ran the following at the terminal: R CMD BATCH answer.R output.Rout it failed

Hello, I am in need of help in putting histograms on the diagonal of a plot produced with splom(). The plot matrix I am trying to produce is to have standard scatterplots in the upper-left triangle, contour plots in the lower-right triangle, and histograms on the diagonal. I have a function that does the first two, but the histograms on the diagonal has been beyond my ability. Here is my

Hello! I used to save R-Grafics like this: postscript("file.ps"). Is there alsoa way to save them as eps? Thank you very much Claudia

Hi, I am using R on Windows XP. I am using 'arrows' funtion to plot the variance as error bar, BUT error bar goes only one side of the data point, I need to plot the error bar on both side of the data point (plot is attached), I am using following commands to plot, plot(file3$lat,file3$STotwoKm,pch=21,cex=2.5,ylim=c(-0.2,2.5),xlim=c(-50,50),xlab=NA,ylab=NA, col=1,

Hello R experts, what follows is my reproducible example: mydata<-structure(list(ped.avg = c(335.9, 110.8, 645.7, 638.9, 1468.1, 126.4, 4811.1, 88.5, 868.5, 656.6, 723.6, 654, 2.8, 15, 14.2, 17.5, 15.4, 112.1, 424.7, 18.3, 19.9, 28.6, 25.6, 23.5, 15.4, 27, 62.1, 15.6, 74.6), ped.erst = c(96, 53.2, 615.2, 616.5, 512.9, 56.2, 1851.8, 57.1, 579.5, 613.2, 601.1, 613.6, 1.3, 6.3, 6.5, 6.1,

Hi, very new to R here... I have a data frame called 'set' with 100k+ rows in it that looks like this: subject timestamp yvalue traceabs subjtrace 1 1 1992-07-12 06:05:00 12 1 1-1 2 1 1992-07-12 06:10:00 15 1 1-1 3 1 1992-07-12 06:15:00 17 1 1-1 4 1 1992-07-12 06:20:00 20 1 1-1 5

I have the following models: class Comandancia < ActiveRecord::Base has_many :elementos end class Elemento < ActiveRecord::Base belongs_to :comandancia validates_presence_of :nombre, :apellido_paterno, :apellido_materno, :comandancia end In the view for New Elemento I''m using <%= start_form_tag :action => ''create'' %> <%= render :partial =>

Hi All, I try to do a scatterplot for a bunch of variables. I plot a dependent variable against a bunch of independent variables: -- cut -- graphics::plot( v01_r01 ~ v08_01_up11, data = dataset, xlab = "Dependent", ylab = "Independent #1" ) -- cut -- It is tedious to repeat the statement for all independent variables. Found an alternative, i.e. : -- cut -- mu

by considering this example from barley dataset #code start dotplot(variety ~ yield | site, data = barley, scales=list(x=list(log=TRUE)), layout = c(1,6), panel = function(...) { panel.dotplot(...) #median.values <- tapply(x, y, median) # medians for each variety #panel.abline(v=median.values, col.line="red") # but this

Dear all, I am using the following code to write the plot to an eps format postscript(file="test.eps",horizontal=FALSE)

This might be easy (but I didn't find an answer in the archives). I'm trying to make nice looking images (using image()). To make them look nice (not jagged), it usually takes me at least 100x100 points. This can be slow for frequent redraws. Is there a smarter (less point intensive) way? I was thinking in terms of hexabins, for example, which for much less jagged looking regions,

HI, Dear R community, I have used the following codes this morning, but this afternoon, I got the following errors: > x <- seq(0,10, by=1) > y <- c(0.952, 0.947, 0.943, 0.941, 0.933, 0.932, 0.939, 0.932, 0.924, 0.918, 0.920) # missense > z <- c(0.068, 0.082, 0.080, 0.099, 0.108, 0.107, 0.101, 0.105, 0.118, 0.130, 0.132) # missense False Negative > p <- c(0.035, 0.036,