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...t; | grep -F "/R/" | wc 69 326 5472 and another 59 where isTRUE() can be used: $ grep -E "identical[(][^,]+,[ ]*TRUE[)]" -r --include="*.R" | grep -F "/R/" | wc 59 307 5021 /Henrik On Tue, Mar 13, 2018 at 9:21 AM, Doran, Harold <HDoran at air.org> wrote: > Quite possibly, and I?ll look into that. Aside from the work I was doing, however, I wonder if there is a way such that sapply could avoid the overhead of having to call the identical function to determine the conditional path. > > > > From: William Dunlap [ma...

...ide from the work I was doing, however, I wonder if there is a way such that sapply could avoid the overhead of having to call the identical function to determine the conditional path. From: William Dunlap [mailto:wdunlap at tibco.com] Sent: Tuesday, March 13, 2018 12:14 PM To: Doran, Harold <HDoran at air.org> Cc: Martin Morgan <martin.morgan at roswellpark.org>; r-help at r-project.org Subject: Re: [R] Possible Improvement to sapply Could your code use vapply instead of sapply? vapply forces you to declare the type and dimensions of FUN's output and stops if any call to FUN do...

You?re right, it sure does. My suggestion causes it to fail when simplify = ?array? From: William Dunlap [mailto:wdunlap at tibco.com] Sent: Tuesday, March 13, 2018 12:11 PM To: Doran, Harold <HDoran at air.org> Cc: r-help at r-project.org Subject: Re: [R] Possible Improvement to sapply Wouldn't that change how simplify='array' is handled? > str(sapply(1:3, function(x)diag(x,5,2), simplify="array")) int [1:5, 1:2, 1:3] 1 0 0 0 0 0 1 0 0 0 ... > str(sapply(1:3...

...t later today. Interestingly and to my great pleasure, the first part of the 'Subject' of this mailing list thread, "Possible Improvement", *has* become true after all -- -- thanks to Henrik ! Martin Maechler ETH Zurich > On Tue, Mar 13, 2018 at 9:21 AM, Doran, Harold <HDoran at air.org> wrote: > > Quite possibly, and I?ll look into that. Aside from the work I was doing, however, I wonder if there is a way such that sapply could avoid the overhead of having to call the identical function to determine the conditional path. > > > > > > > >...

...FUN does not match the declaration. It can use much less memory and time than sapply because it fills in the output array as it goes instead of calling lapply() and seeing how it could be simplified. Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Mar 13, 2018 at 7:06 AM, Doran, Harold <HDoran at air.org> wrote: > Martin > > In terms of context of the actual problem, sapply is called millions of > times because the work involves scoring individual students who took a > test. A score for student A is generated and then student B and such and > there are millions of s...

...o that. But your point is well taken, there may be a very good counterexample why my proposal doesn't achieve the goal is a generalizable way. -----Original Message----- From: Martin Morgan [mailto:martin.morgan at roswellpark.org] Sent: Tuesday, March 13, 2018 9:43 AM To: Doran, Harold <HDoran at air.org>; 'r-help at r-project.org' <r-help at r-project.org> Subject: Re: [R] Possible Improvement to sapply On 03/13/2018 09:23 AM, Doran, Harold wrote: > While working with sapply, the documentation states that the simplify > argument will yield a vector, matrix etc...

...0 0 ... > str(sapply(1:3, function(x)diag(x,5,2), simplify=FALSE)) List of 3 $ : int [1:5, 1:2] 1 0 0 0 0 0 1 0 0 0 $ : int [1:5, 1:2] 2 0 0 0 0 0 2 0 0 0 $ : int [1:5, 1:2] 3 0 0 0 0 0 3 0 0 0 Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Mar 13, 2018 at 6:23 AM, Doran, Harold <HDoran at air.org> wrote: > While working with sapply, the documentation states that the simplify > argument will yield a vector, matrix etc "when possible". I was curious how > the code actually defined "as possible" and see this within the function > > if (!identic...

I have some matrices stored as elements in a list that I am working with. On example is provided below as TP[[18]] > TP[[18]] level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 Now, using prop.table on this gives > prop.table(TP[[18]],1) level2 level1 1 2 3 4 1 1 0 0 0 2 3

...5% CI of > 6,295-14,056. Then the p-value must be <0.05 doesn't it? > For age the OR's differ dramatically between SPSS and R, > 0.985 and 0.003. > > I just can not explain it. > > Ronald > > -----Oorspronkelijk bericht----- > Van: Doran, Harold [mailto:HDoran at air.org] > Verzonden: vrijdag 1 augustus 2008 17:36 > Aan: Draga, R.; r-help at r-project.org > Onderwerp: RE: [R] Major difference in the outcome between > SPSS and R statisticalprograms > > > The biggest problem is that SPSS cannot fit a generalized linear mixed > mo...

While working with sapply, the documentation states that the simplify argument will yield a vector, matrix etc "when possible". I was curious how the code actually defined "as possible" and see this within the function if (!identical(simplify, FALSE) && length(answer)) This seems superfluous to me, in particular this part: !identical(simplify, FALSE) The preceding

Given the following data, I want a scatterplot with the data points and the predictions from the regression. Sigma <- matrix(c(1,.6,1,.6), 2) mu <- c(0,0) dat <- mvrnorm(5000, mu, Sigma) x <- dat[,1] * 50 + 200 y <- dat[,2] * 50 + 200 fm <- lm(y ~ x) ### This gives the regression line, but not the data xyplot(y ~ x, type = c('g', 'p'),

...ool to use to create the executable. -----Original Message----- From: "Duncan Murdoch" <murdoch at stats.uwo.ca> To: "Greg Snow" <Greg.Snow at intermountainmail.org> Cc: "Gabor Grothendieck" <ggrothendieck at gmail.com>; "Doran, Harold" <HDoran at air.org>; "r-help at stat.math.ethz.ch" <r-help at stat.math.ethz.ch> Sent: 5/4/07 4:46 PM Subject: Re: [R] [SPAM] - Re: R package development in windows - BayesianFilter detected spam On 04/05/2007 4:25 PM, Greg Snow wrote: > I have used the pp/par combination for Perl be...

Just out of curiosity, has anyone ever written a function that sends an email to you when an R process has finished? For instance, I often work with very large data sets and certain tasks (e.g., merging records, lmer runs) can take a long time and I find myself constantly looking over to see if R is done. But, it would just be neat if there was a way R could send me an email alerting me that a

Hi all: I'm having difficulty with something I believe is very simple, but I'm stuck. I have a large data frame that took days to clean and prepare. All I now need to do is concatenate three variables into a single column. For example, I have tenn$up, tenn$down, and tenn$stable which all have values of 1 or 0. I simply want to put all three columns together to create a pattern (e.g.,

...rrent version) just puts an upper bound on the df. But that should be OK, because all those t tests are approximations anyways, and you can get better confidence intervals (credible intervals, whatever) by using the mcmcsamp() function that works with lmer() alan > "Doran, Harold" <HDoran at air.org> responded: > > >>There is an issue with implicit nesting in lmer. In your lme() model you nest >>block/irrigation/density/fertilizer. In lmer you need to do something like >>(I dind't include all of your variables, but I think the makes the point) >>...

Hello R, I am looking for non-parametric simulation in IRT. Is there any IRT package that does non-parametric simulation? helen L [[alternative HTML version deleted]]

Dear List: When I click on the link to download a reference manual for a package on cran, I get an error message that the file is damaged and could not be repaired. I randomly chose various packages and the same error message appears. Are the links actually broken? I have also restarted my machine and closed and re-opened acrobat. I am using Windows XP, Acrobat Professional 6.0.0.5, and

I need to wrap a loop inside a function and am having a small bit of difficulty getting the results I need. Below is a replicable example. # define functions pcm <- function(theta,d,score){ exp(rowSums(outer(theta,d[1:score],'-')))/ apply(exp(apply(outer(theta,d, '-'), 1, cumsum)), 2, sum) } foo <- function(theta,items, score){ like.mat <-

It sounds as thought you are interested in Hoyt's Anova which is a form of generalizability theory. This is usually estimated using by getting the variance components from ANOVA. > -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Karl Knoblick > Sent: Tuesday, May 16, 2006 6:10 AM > To: r-help at

Dear R: Am I having trouble downloading the LME4 library. I am using Windows and am using ver 1.7 I have tried the following: 1) Install package from CRAN, but LME4 is not listed 2) Downloaded LME4 from http://cran.us.r-project.org/, however, I cannot open the file when I try install from local drive. I get the following error: Error in file(file, "r") : unable to open connection