similar to: using split.screen? [Broadcast]

Hello. I am having trouble understanding the use of split.screen. I want to divide the device surface first into 4 equal screens: split.screen(figs=c(2,2)) This works. I next want to subdivide each of these 4 screens into 10 subscreens. I do, for the first of these 4 screens: screen(1,new=T) and then: split.screen(figs=c(10,2)) My understanding is that this should split screen 1 (i.e.

# polygon ignores requests to have its border transparent, look at par(bg="transparent") plot(c(0, 3), 0:1) polygon(c(0, 1, 1, 0), c(0, 0, 1, 1), border=NA, col = 0) polygon(c(1, 2, 2, 1), c(0, 0, 1, 1), border="transparent", col = 0) polygon(c(2, 3, 3, 2), c(0, 0, 1, 1), border=0, col = 0) # a quick fix for erase.screen() is the following erase.screen <- function (n =

I wrote some code to do this. It only works with 2 groups (that's all I needed), but could probably be generalized. It got my graph made, and I haven't needed a graph like this one again, so I never went back to really clean it up. It works by first plotting both sets of rectangles, then going back over the ones that had the first bar totally covered by the second. Hope this helps,

Dear all, I would be pleased if anyone could help me. The Rhelp description for the figs parameter is "a two-element vector describing the number of rows and colunns in a screen matrix". So, why does my code (below) produce a 2x1 screen matrix instead of a 1x2 one? Thanks in advance, rodrigo. ----------------------------------------------------------- plot.new()

Hi, I successfully created 3 screens with the following: fig.mat<-c(0,.5,.5,.5,1,1,0,0,.5,1,.5,1) fig.mat<-matrix(fig.mat,nrow=3) fig.mat split.screen(fig.mat) I can plot three different plots on those 3 screens, but when I try the following: (Trying to create three graphs with a common x-axis but different y-axis on screen 1) screen(1) par(oma=c(3,3,0,0)) par(fig=c(0,1,0,0.33))

Hello. I know how to make a bar plot in which a numeric y variable is plotted against some grouping variable X (say, groups A, B, C) when this grouping variable is subdivided into each of two subgroups; so the bars would be: (group A subgroup 1) beside (group A subgroup 2), then (group B subgroup 1) beside (group B subgroup 2), and so on. This is done using the beside=TRUE argument in the

I want to draw a figure with several panels of unequal size, so i thought I would try using screen(). However, I can't figure out how to define the sizes as a matrix. I've tried this: split.screen(matrix(c(0,0.5,0,0.5, 0.5,1,0.5,1), byrow=F, ncol=4)) and a couple of variants on it, but get the same error: Error in par(.split.screens[[cur.screen]]) : invalid value specified

Folks, I'm battling the layout() functionality in graphics, and getting a bit mixed up. I'd like to create subscreens like so: _________ _________ | | | | 1 | 2 | |_________|________ | | | | | 3 | 4 | |_________|_________| | |____6____| | 5 |____7____| |_________|____8____| Note that subscreens 1:5 are the same

It's the "|source" in your formula that tells lattice to separate them. If you drop that, you'll get all points without S and P distinguished at all. If you add a groups argument, you should get them presented with different colors/symbols/etc. depending on your trellis settings (warning: untested code): par.plot(lnvol~lnden, groups =

I hope it's OK to post a bug report, and a possible patch, on this list. Introduction ======= The split.screen() docs suggest that users should not return to a screen after it has been drawn, and that curious errors may result from doing so. This is clear from the test file I put below. However, I have found that this test file will work properly, with a tiny change to the split.screen

Hi all, after installing samba 2.2.5 (on Solaris8 running NIS+) it is not possible to create user entries in smbpasswd. I generated the smbpasswd file by # cat /dev/null | /samba/samba-2.2.5/source/script/mksmbpasswd.sh > /usr/local/samba/private/smbpasswd ----- then tried to create user entry "dummy" in smbpasswd by (user "dummy" exists under NIS+) # smbpasswd -a dummy

Dear helpers I have this code to make 10 plots in the same device a<-1 split.screen(c(2:5)) for (i in 1:10){ nova.matriz<-a*sigma+(1-a)*S proj<-calculo.comp(treino,nova.matriz) print(proj[,1:2]) screen(i) plot(Re(proj[c(2,3,6,9:11,14,23),1:2]),xlim=range(c(- 15:15)),ylim=range(c(-5:5)),col="black") points(Re(proj[c(1,4:5,7:8,12:13,15:22,24:27),1:2]),col="red")

Hello, We are successfully using Samba with a remote WINS server which is located on another site. We have a second site (Worcester) which has successfully been using the same WINS server and communicating with our Samba servers (Shipley5 and Shipley6). Recently the PCs in Worcester have been unable to connect to our Samba server in Shipley. The other site uses a different DHCP server to our

Hello. I have to fit a mixed model from a repeated measures split-plot experiment in which the response variable is binary. This requires a generalised linear mixed model in which I can specify a binomial distribution. I can’t find the appropriate package in R. I have looked at glmmML, but it doesn’t seem to allow any mixed structure beyond a simple 2-level one. Can anyone point me to the

Hello. I want to plot the distribution of a continuous variable (y) in each of two groups on the same graph as histograms. I suppose one could call this a 2-d histogram? Can this be done in R? Here is a typical data.set: y group 1.2 1 3.3 1 2.4 2 5.7 1 0.2 2 etc. Bill Shipley Subject Matter Editor, Ecology North American Editor, Annals of

Hello. I cannot find out how to extract the residuals from a mixed model using the lmer function. Can someone help? Bill Shipley North American Editor, Annals of Botany Editor, "Population and Community Biology" series, Springer Publishing Département de biologie, Université de Sherbrooke, Sherbrooke (Québec) J1K 2R1 CANADA Bill.Shipley@USherbrooke.ca

I have multiple conditions that I would like to plot in a grid. To save space, I don't need the ticks, labels etc on the plots which are not on the outside. I tried split.screen, but if it is clearer to use, it seems pretty rigid since it decides of each screen size apriori while I need more space for the left column and top or bottom row screens than for the other plots. axis(1,tick=FALSE)

To avoid angry replies, let me first say that I know that the use of Type III sums of squares is controversial, and that some statisticians recommend instead that significance be judged using the non-marginal terms in the ANOVA. However, given that type III SS is also demanded by some… is there a function (equivalent to drop1 for lm) to obtain type III sums of squares for mixed models using the

Hello. I am having trouble downloading the lme4 package from the CRAN site. The error is: > local({a <- CRAN.packages() + install.packages(select.list(a[,1],,TRUE), .libPaths()[1], available=a, dependencies=TRUE)}) trying URL `http://cran.r-project.org/bin/windows/contrib/2.0/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 26129 bytes opened URL downloaded 25Kb

Hello. Please excuse this off-topic request, but I know that the question has been debated in summary form on this list a number of times. I would find a paper that lays out the advantages and disadvantages of using different types of SS in the context of unbalanced data in ANOVA, regression and ANCOVA, especially including the use of different types of contrasts and the meaning of the