similar to: all.equal failure

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

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))

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I suggest to add a panel function to levelplot (or perhaps to an other 3d lattice function) which is able to translate the z values into the size of the rectangles. It could be used to display categorical data. I append the proposed code and two examples: - panel.catlevelplot() - example1.catlevelplot.esoph() - example2.catlevelplot.esoph() Wolfram Fischer #------ CODE

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

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

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)

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

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

>>>>> Duncan Murdoch >>>>> on Fri, 5 Apr 2019 11:12:48 -0400 writes: > 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

I posted this one as an R bug (https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=14767), but Prof. Ripley says I'm premature, and I should raise the question here. Here's the behavior I assert is a bug: The output from delete.response on a terms object alters the formula by removing the dependent variable. It removes the response from the "variables" attribute and it changes

Hello, I need to write out a data matrix as a STATA 7 file and this happens perfectly with write.dta(), except I cannot seem to export the labelnames to Stata. So far I have tried the following: # X is the data matrix that is to be exported attributes(X)$var.labels <- c("apple", "banana", "cat") write(X, filename = "text.dta", version = 7) When i

Someone sent me a bug report for survival2.44.1-1 that involves a model with both cluster and offset.? It turns out to be a 3 part issue with [.terms and my own untangle.specials routine.?? I've spent an evening sorting out the details. ? 1. The delete.response() function doesn't remove the response from the dataClasses attribute, which leads to a later failure in [.terms for

I would like to extract the names, modes [numeric/factor] and levels of variables needed in a data frame supplied as newdata= argument to predict.glm() Here is a small example illustrating my troubles; what I want from (both of) the glm objects is the vector c("x","f","Y") and an indication that f is a factor: library( splines ) dd <- data.frame( D =

Hi, Some try: > names(mi$xlevels) [1] "f" > all.vars(mi$formula) [1] "D" "x" "f" "Y" > names(mx$xlevels) [1] "f" > all.vars(mx$formula) [1] "D" "x" "f" When offset is indicated out of the formula, it does not work... Marc Le 07/03/2018 ? 06:20, Bendix Carstensen a ?crit?: > I would like

Below is a SIMEX object that was generated with the "simex" function from the "simex" package applied to a logistic regression fit. From this mountain of information I would like to extract all of the values summarized in this line: .. ..$ variance.jackknife: num [1:5, 1:4] 1.684 1.144 0.85 0.624 0.519 ... Can someone suggest how to go about doing this? I can extract the

* Kill the A8+A8 hack. Recent enough X servers (>=1.7) fall back to ARGB glyphs for drivers not supporting A8 render targets. * Kill all the global state. It doesn't matter a lot yet but it might if we get multicard working at some point. * Other random clean-ups with no functional changes. Some numbers from x11perf -aa10text -aa24text -comppixwin10 -comppixwin500: * Before, with A

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

This will fix races between generated ctxprogs and interrupt handler. Signed-off-by: Marcin Ko?cielnicki <koriakin at 0x04.net> --- drivers/gpu/drm/nouveau/nv50_grctx.c | 5 +++++ 1 files changed, 5 insertions(+), 0 deletions(-) diff --git a/drivers/gpu/drm/nouveau/nv50_grctx.c b/drivers/gpu/drm/nouveau/nv50_grctx.c index d105fcd..9f909ab 100644 ---