similar to: Extractor function for standard deviation.

Am I asking for too much: for any object that a stat proc returns ( y <- lm( y~x) , etc ) ) , is there a super convenient function like give_all_extractors( y ) that lists all extractor functions , the datatype returned , and a text descriptor field ("pairwisepval" "lsmean" etc) That would just be so convenient. What are my options for querying an object so that I can

Hello, We have published two papers which build upon the LLVM Compiler Infrastructure. Would it be possible to include them in the LLVM related publications at http://llvm.org/pubs/ ? I attach below the bibliographic references: "CERE: LLVM Based Codelet Extractor and REplayer for Piecewise Benchmarking and Optimization" P. de Oliveira Castro, C. Akel, E. Petit, M. Popov, and W.

Hello I am new to R and I cannot overcome the 2 problems 1.Defining my own color scale for a value on a scatterplot 2.Adding legend showing values for colours I have a set of points in area of my research with coordinates X and Y and a value which I would like to show with colors. #values for points are residuals from regression stepmod = step(wmodzad, direction="both") #I am

hi! i have a little problem: my data's matrix has 1093 rows and 3 columns. i'd like to extract each rows.. something like this: ht= my matrix Dt=(???)=a vector with t=1,2...1093 what can i do? thank you! Vincenzo -- View this message in context: http://www.nabble.com/extractor-rows-from-a-matrix-tf3913088.html#a11094459 Sent from the R help mailing list archive at Nabble.com.

Preamble: ========= In spatial point pattern analysis an important component of a point pattern object is the *observation window*. In the spatstat package we have the function owin() to *construct* such a window. It creates an object of class "owin" which can happily exist separately from any point pattern object (object of class "ppp"). However we have at the moment

Dear all, I just installed R 2.5.0alpha and noticed new warnings related to the extractor "$" when using contributed packages. For instance: > library(RODBC) Warning message: $ operator is not valid for atomic vectors, returning NULL > library(aod) Package aod, version 1.1-18 > data(orob2) > m1 <- betabin(cbind(y, n-y) ~ 1, random = ~ 1, data = orob2) >

Apologies, forgot to copy R-help on this response. Begin forwarded message: From: Roger Koenker <rkoenker at illinois.edu> Subject: Re: [R] effects() extractor for a quantile reqression object: error message Date: September 6, 2024 at 8:38:47?AM GMT+1 To: "Christopher W. Ryan" <cryan at binghamton.edu> Chris, This was intended to emulate the effects component of lm()

I'm having trouble with the standard deviation distribution as shown on http://mathworld.wolfram.com/StandardDeviationDistribution.html . (Eric Weisstein references Kenney and Keeping 1951, which I can't check.) I believe the graphs they show, but when I code the function in R, according to the listed formula, I get very different graphs. Would someone please point out my error or tell

I'm trying to provide different parameters to the integrate function for various probability functions. I'm using dnorm as the simplest example here. For instance integrate(dnorm, -1.96, 1.96) produces the correct answer for a normal distribution with mean 0 and standard deviation 1. I've tried two ways to use mean=2.0 and standard deviation 1, but with no luck. The examples follow.

llvmers, Is it possible to change the loop extractor to extract each nested loop into it's own function, including the top level loop? I would like to put every loop into it's own function. Thanks. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20120111/d71582a4/attachment.html>

Hi, all. In setting up my package for post-processing regression models, I am trying to use standard notation as much as possible: thus, I use coef() to access estimated coefficients. I wrote a function called se.coef() to grab standard errors, and se.fixef() and se.ranef() to grab se's from coefficients estimated from lmer(). I also need a function to access sigma-hat (the residual sd

I mentioned earlier that I had DeLorme Street Atlas 8.0 working on wine. It comes with a separate program, the extractor. This will pull parts of the map CD and store them locally so that the main program does not have to refer to the CD for those parts of the map. I had one problem which I overcame: it was looking for h:\refnc. I have no idea why it was looking on h:, as the CD-ROM is on d: and

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Dear R users, This is more a statistical question rather than an R question. I'd appreciate it if you can give me some suggestions. I have a sample of a time series (sample size 500, fat tail in density). I am trying to calculate the Standard error of standard deviation of a sub-block-sample (sample size 250). I take 100 this kind of sub-block-sample, randomly. For these 100 subsamples, I

I am currently using Windows self extractor from the command line and it works great to convert zip files to windows exe's. The issue I'm having is if I try and cron this through a shell scipt it complains with the following + wine '/usr/share/wine-c/Program Files/WinZip Self-Extractor/WinZIPse.EXE' /y /le /overwrite

I have a graph of residuals and I am attempting to get a list of the indexes of each time the residual is greater than 2 standard deviations or less than -2 standard deviations, but only the first point of the section. And then I'd also need the first point where the point returns to the range between +/- 2 standard deviations. So basically if my standard deviation=1 and my residuals=c(1, 2.1,

Hi, Could anyone give suggestions how to plot a scatter plot with 1 standard deviation for each point. To make it clearer, here is a simple example: the scatterplot is plot(X, Y), but I want to add 1 standard deviation according to the value of Z for each Y. X Y Z 1 3.5 1.1 . . . . . . . . . Thanks a lot in advance. FD [[alternative HTML

Hi, I have two (different types of) measurements, say X and Y, resulting from the same set of experiments. So X and Y are paired: (x_1, y_1), (x_2, y_2), ... I am trying to calculate the standard deviation of Y with respect to X. In other words, in terms of the scatter plot of X and Y, I would like to divide it into bins along the X-axis and for each bin calculate the standard deviation along

Hi, I have the following data about courses (504) in a university, two attributes about the proportion of resources used (#resources_used / #resources_available), namely the average and the standard deviation. Thus I have: [1] n=504 rows [2] 1 id column and 2 attributes Here's a sample of the data: courseid,average,std 12741,1,0 17161,1,0 12514,1,0