similar to: xyplot auto.key issue

Dear R-Mastermind Within a while or a for-loop, is there a way that I can save to disk the results of the previous calculations at the end of each loop with filenames called "file01.Rdata", "file02.Rdata" etc? So far, I have tried to write the outcome of each loop in a 3 dimensional array and saved it just once after the loop. Or is there another way so that I can keep

Hello everyone, A little background first: I have collected psychophysical data from 12 participants, and each participant's data is represented as a scatter plot (Percieved roughness versus Physical roughness). I would like to know whether, on average, this data is best fit by a linear function or by a quadratic function. (we have a priori reasons to expect a quadratic) Some of my

Hi, Thanks for reading. I am running a process in R for microarray data analysis. RedHat Enterprise Linux 4, dual AMD CPU, 6G memory. However, the R process use only a total of <200M memory. And the CPU usage is total to ~110% for two. The program takes at least 2 weeks to run at the current speed. Is there some way we can increase the usage of CPUs and memories and speed up? Any

Hello, A made a xyplot using the lattice library in R (latest version). The publisher of our paper has requested: 1. all tick marks should point inwards instead of outwards. 2. All lines should be thicker (lines, axes, boxes, etc. Everything). Lines is easy...I used: lwd=1.5 but what about the lines of the axes, and the lines that build up the plot itself?....? Any

Hi all, By default a call to xyplot from the Lattice package when using 2 factors [eg xyplot( dv~iv | XY * AB ) ] yields the following shingle structure: |_A_|_A_|_B_|_B_| |_X_|_Y_|_X_|_Y_| However, I'm wondering if it is possible to merge the upper shingle within levels of that factor, as in: |___A___|___B___| |_X_|_Y_|_X_|_Y_| Mike -- Mike Lawrence Graduate Student, Department of

Hi all, Looking to calculate the expected mean and variance of a ratio distribution where the source distributions are gaussian with known parameters and sample values are correlated. I see (from wikipedia: http://en.wikipedia.org/wiki/ Ratio_distribution#Gaussian_ratio_distribution) that this calculation is quite involved, so I'm hoping that someone has already coded a function to

Hi there, I'm a bit confused concerning the axis tck setting in the lattice package as the ticks on left sided axis aren't drawn at all with the following setting: dados <- data.frame(varsep = factor(rep(1:2,10)), i = runif(20)) library(lattice) my.theme <- list( axis.components = list(left = list(tck = 1, pad1 = 1, pad2 = 2), top = list(tck = 0, pad1

I am using lattice for a bar plot, having a little trouble removing ticks, tick labels from x-axis, but keeping them on the y-axis. I looked around quite a bit (http://tolstoy.newcastle.edu.au/R/e7/help/09/06/1733.html, help pages, etc), tried variations of "scales = list(alternating = c(0,0)", "scales = list(alternating = c(0,0), tck = c(0,0))" and others, couldn't quite

Dear Rxperts, How do I hide the top and right axes in multiple panel plots? A couple of examples are provided below.. Would highly appreciate appreciate your assistance.. #Example 1 library(latticeExtra) xyplot((1:200)/20 ~ (1:200)/20, type = c("p", "g"), scales = list(x = list(log = 2,alternating=0), y = list(log = 10,alternating=0)), xscale.components =

I'm trying to produce a barchart plot with groups, in which each group is placed in a particular time scale in x-axis. If I use barchart directly it does not take the time scale. I've tried with xyplot and adding a panel.barchart, I have the bars in the right place, but not the three groups I'm trying to produce. I've tried defining panel and panel.group, but can't get it to

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Dear expeRts, How can I get ... (1) different y-axis scales for each row (2) while having the same y-axis scales for different columns? I coulnd't manage to do this with relation="free" [which gives (1) but not (2)]. I also tried relation="sliced", but it did not give the same y-axis scales within each row (see the fourth row). Further, it "separates" the

Dear list, I have observed a change in the behaviour of the scales-argument tck of xyplot() after having installed R 2.4.0 (for version info see below). The help page of xyplot() says about the scales-argument tck: 'tck' numeric to control length of tick marks. Can be a vector of length 2, to control left/bottom and right/top separately. But if I issue xyplot( y ~ x, scales=

I can't get the scales parameter in xyplot of lattice to work as I expected. I'm using R-2.1.0 and lattice 0.11-8. There should be year labels from 1992 to 2004 for the x axis in the plot below, but instead only a few of them appear, and in the wrong spots, as if the coordinate system has changed after finishing with the panel function. library(chron) library(lattice) # vertical grid

I'm looking to analyze a large data set: a within-Ss 2*2*1500 design with 20 Ss. However, aov() gives me an error, reproducible as follows: id = factor(1:20) a = factor(1:2) b = factor(1:2) d = factor(1:1500) temp = expand.grid(id=id, a=a, b=b, d=d) temp$y = rnorm(length(temp[, 1])) #generate some random DV data this_aov = aov( y~a*b*d+Error(id/(a*b*d)) , data=temp ) While yields the

Dear R users/developers, simple comparison of code execution time of R 2.7.1 and R 2.7.2 shows a dramatic slowdown of the newer version. Rprof() identifies .Call function as a main cause (see the code below). What happened with R 2.7.2? Kind regards Marek Wielgosz Bayes Consulting ######### Probably useful info ############### ### CPU: Core2Duo T 7300, 2 GB RAM ### WIN XP ### both standard

Hi, I'm currently designing some global themes for use with lattice, and have hit a snag. There doesn't appear to be (in xyplot at least) a way of setting a lattice option for the 'scales' parameter at a global level - changes have to be made in each function call. For example, consider the following code: library(lattice) library(latticeExtra) # Create some data temp <-

Hi all, This is my first post to the developers list. As I understand it, aggregate() currently repeats a function across cells in a dataframe but is only able to handle functions with single value returns. Aggregate() also lacks the ability to retain the names given to the returned value. I've created an agg() function (pasted below) that is apparently backwards compatible (i.e.

This is an expanded version of the question I tried to ask last night - I thought I had it this morning, but it's still not working and I just do not understand what is going wrong. What I am trying to do is write a wrapper for lattice xyplot() that passes a whole bunch of its secondary arguments, so that I can produce similarly formatted graphs for several different data sets. This is what

Hi All, I need some help in putting text in a stacked barplot. The barplot is filled with 5 levels and now I would like to put text to each level in the stacked barplot. However, it seems that the code that I am using is not placing the text at the correct hight (centered at each fill) in the barplot. Any suggestions to improve the code to make it work? barchart(FREQ ~ VISIT