similar to: [R] proposal: lattice/levelplot: panel.catlevelplot

Full_Name: Ed Borasky Version: R-beta 2.1.0 2005-04-08 OS: Linux 2.6.11 GCC 3.3.5 Submission from: (NULL) (24.21.57.139) I downloaded the latest R-beta tarball and did a build with the default options. OS is Linux 2.6.11 and compiler is GCC 3.3.5. "make check-all" failed with the following message: make[3]: Entering directory `/home/znmeb/R-beta/tests' running code in

Here is an example: The legends (mainly the factor level names) are cut off on the right. Somehow the internal calculation which computes horizontal space for the legend is not flexible enough. ## Call a new graphics window {with default par()s !}: get(getOption("device"))() par(mfrow = c(2,2)) ## part of example(interaction.plot) _improved_ using with() : data(OrchardSprays)

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Full_Name: Axel Benz Version: 1.7.1 OS: Windows Submission from: (NULL) (137.251.33.43) Hello, I guess many people will answer me again that this is a S language feature, but I am only a stupid computer scientist and I simply do not understand this logic, despite of reading a lot about S: > test field tuckey 4 Kreis2 -1 5 Kreis5 -2 9 Metall -3 17

This arose in testing [.terms and has me confused. data(esoph)?? # use a standard data set t0x <- terms(model.frame( ~ tobgp, data=esoph)) t1 <-? terms(model.frame(ncases ~ agegp + tobgp, data=esoph)) t1x <- (delete.response(t1))[-1] > all.equal(t0x, t1x) [1] TRUE # the above is wrong, because they actually are not the same > all.equal(attr(t0x, 'dataClasses'),

Good day My name is Jos? Oscar, I'm from Mexico and I have some questions about foreign in your write.foreig( ) function. We know that this function generates the inputs to be able to run them or execute them in another program like SPSS, SAS or Stata. In these cases, when creating an example file, a matrix and using the function to execute the .sps file directly from SPSS, I don't care or

I have a dataframe with the following variables: idnum area gender race etc. I would like to make a table that looks like area gender race M F B W A 1 4 5 3 5 1 2 6 7 4 6 3 etc. Basically, I want to make a single broad table with a number of sub-set tables. I have tried: cbind(table(area, gender), table(area, race)) But, when I do this, I lose the labels gender / race. This makes it

On 05/04/2019 9:03 a.m., Therneau, Terry M., Ph.D. via R-devel wrote: > This arose in testing [.terms and has me confused. > > data(esoph)?? # use a standard data set > > t0x <- terms(model.frame( ~ tobgp, data=esoph)) > t1 <-? terms(model.frame(ncases ~ agegp + tobgp, data=esoph)) > t1x <- (delete.response(t1))[-1] > > > all.equal(t0x, t1x) > [1]

On 05/04/2019 10:19 a.m., Therneau, Terry M., Ph.D. wrote: > Duncan, > ? I should have included it in my original note, but > > ?? ? all.equal(unclass(t0x), unclass(t1x)) > > returns TRUE as well.? I had tried that as well. ? But a further look at > all.equal.default shows the following line right near the top: > ??? if (is.language(target) || is.function(target))

On 05/04/2019 10:46 a.m., Therneau, Terry M., Ph.D. wrote: > > > On 4/5/19 9:39 AM, Duncan Murdoch wrote: >> On 05/04/2019 10:19 a.m., Therneau, Terry M., Ph.D. wrote: >>> Duncan, >>> ?? I should have included it in my original note, but >>> >>> ??? ? all.equal(unclass(t0x), unclass(t1x)) >>> >>> returns TRUE as well.? I had

I've been asked by someone else whom I originally taught `` to just work with substitute() and then all will be fine'' ... But it looks to me that I've been caught here. Is it possible to make this work along the way we thought it should? 1) Inside a function, say tst() with the 'formula' and a 'data' argument, 2) call another modeling function using

Dear List, I try to make a xyplot with different colors and symbols, I came this far: library(DAAG) xyplot(csoa~it|sex*agegp,data=tinting,groups=target,pch=list(1,2),auto.key=list(space = "right")) this produces a plot with different colors and symbols but unfortunately the legend does only follow the color scheme and not the different symbols. Any suggestions what to change? And

R-1.7.0 built on NetBSD 1.6, but the validation test suite failed: Machinetype: Intel Pentium III (600 MHz); NetBSD 1.6 (GENERIC) Remote gcc version: gcc (GCC) 3.2.2 Remote g++ version: g++ (GCC) 3.2.2 Configure environment: CC=gcc CXX=g++ LDFLAGS=-Wl,-rpath,/usr/local/lib make[5]: Entering directory `/local/build/R-1.7.0/src/library' >>> Building/Updating

This will probably seem very simple to experienced R programmers: I am doing a snp association analysis and am at the model-fitting stage. I am using the Stats package's "drop1" with the following code: ##geno is the dataset ## the dependent variable (casectrln) is dichotomous and coded 0,1 ## rs743572_2 is one of the snps (which is coded 0,1,2 for the 3 genotypes)

Hello list I am trying to use a Googlemaps tile (png file, 640 X 640 px tile) as a background to a plot and have been using the rgdal library to read in the PNG file (modified from code in the RGoogleMaps package). This works OK. My problem is is that the SGDF2PCT function in rgdal seems to be limited to 256 colors and this is introducing (I think) some degradation to the image which appears on

Is there a standardized way in R to perform post-hoc comparisons for main adn interaction effects of between- and within-subject factors? For instance, I have a data set of performance of adults of different age groups (20-30, 60-70,70-80) performing a WM task (n-back, with n=1,2,3,4) in two different conditions (while sitting or walking). The corresponding ANOVA produces the following output

Dear R users, I'm interested in a combination of a scatterplot and an image graph. I have two large vectors. Because in the scatterplot some areas are sparsely and others densely populated, I want to see the points, and I also want their color to be changed based on their density (similar to a heat map). Is there a function that can do that? Thank you, b.

Hello, I'm trying to make a 3d plot using rgl in which the size and color of each point corresponds to certain attributes of each data point. The color attribute, let's call it X, is scaled to go from 0 to 1. The rainbow(64,start=0.7,end=0.1) palette is perfect for what I want but I don't know how to take that palette and pick a color from it based on the value of X for a given data

Last week, we've talked here about "xtabs(), factors and NAs", -> https://stat.ethz.ch/pipermail/r-devel/2017-January/073621.html In the mean time, I've spent several hours on the issue and also committed changes to R-devel "in two iterations". In the case there is a *Left* hand side part to xtabs() formula, see the help page example using 'esoph', it

Dear List: Most of the analysis I do involves contingency tables. I am migrating to R from Stata and I have a number of questions about using contingency tables in R. I suspect that most of the things I want to do are very short R scripts that people on this list probably have. I wonder if you would be willing to share them. First, the presentation of tables by table() is not