similar to: How to Compare the median to the mean?

How do you calculate the percentage of data within 2SD, 3SD, 4SD, 5SD, and 6SD of the mean? I used the following link as the data I'm working with: nb10 <- read.table("http://www.adjoint-functors.net/su/web/314/R/NB10") if this helps answer my question. Can you please explain how to calculate the SD's? Please be specific in which part of the function changes when

Hi all: I get the following error message that I am not able to resolve. Error in if (const(t, min(1e-08, mean(t)/1e+06))) { : missing value where TRUE/FALSE needed It appears right before the last data.frame statement. Below is the program that simulates data from one way random effects model and then computes normality and bootstrap confidence interval for

Dear people I've learnt that by using the "boxplot.stats" command in the "grDevices" library I can get the 5-number summaries of a boxplot, plus other important information, like the confidence interval around the median. I'm interested in knowing the actual formula to used in that package to calculate that confidence interval. Can someone help me with this? Cheers,

I've run into a use case where I'd like to use a mapped_iterator to iterator the 1st (or 2nd) items in a sequence of std::pairs. Does select1st/select2nd exist somewhere within LLVM or is there some equivalent? If not, I'll add it. -Dave

Hi Lang, I'm looking at extending the compilation passes used in the LLILC JIT and it seems like the simplest thing is to make a copy of the SimpleCompiler functor into the LLILC code and then modify it for the phases I want to run. But I was wondering if this was the best approach. Do you expect different clients to create their own compiler functors or do you imagine that SimpleCompiler

On Jul 15, 2011, at 12:35 PM, David Greene wrote: > I've run into a use case where I'd like to use a mapped_iterator to > iterator the 1st (or 2nd) items in a sequence of std::pairs. Does > select1st/select2nd exist somewhere within LLVM or is there some > equivalent? If not, I'll add it. Is this making the resultant loop simpler? C++ without lambda's isn't

Hello to all users and wizards. I am regulary using 'boxplot' function or its analogue - 'bwplot' from the 'lattice' library. But they are, as far as I understand, totally flawed in functionality: they miss ability to select what they would draw 'in the middle' - median, mean. What the box means - standard error, 90% or something else. What the whiskers mean -

I believe he's referring to this: http://www.sgi.com/tech/stl/select1st.html On Fri, Jul 15, 2011 at 1:29 PM, Chris Lattner <clattner at apple.com> wrote: > > On Jul 15, 2011, at 12:35 PM, David Greene wrote: > >> I've run into a use case where I'd like to use a mapped_iterator to >> iterator the 1st (or 2nd) items in a sequence of std::pairs.  Does

Chris Lattner <clattner at apple.com> writes: > On Jul 15, 2011, at 12:35 PM, David Greene wrote: > >> I've run into a use case where I'd like to use a mapped_iterator to >> iterator the 1st (or 2nd) items in a sequence of std::pairs. Does >> select1st/select2nd exist somewhere within LLVM or is there some >> equivalent? If not, I'll add it. >

On Fri, Dec 5, 2008 at 2:31 PM, Cédric Venet <cedric.venet at laposte.net> wrote: > OvermindDL1 a écrit : >> On Fri, Dec 5, 2008 at 1:58 PM, OvermindDL1 <overminddl1 at gmail.com> wrote: >> >>> On Fri, Dec 5, 2008 at 1:57 PM, OvermindDL1 <overminddl1 at gmail.com> wrote: >>> >>>> On Fri, Dec 5, 2008 at 1:52 PM, OvermindDL1

On Fri, Dec 5, 2008 at 2:38 PM, OvermindDL1 <overminddl1 at gmail.com> wrote: > /* snip */ I updated the svn to 60607. It still needed that const change. Added the const word on that member function. Tried building debug, debug still fails horrible. I am going to try to stop by that computer for an hour or so before my next work shift tonight, will completely get rid of every trace

Hi there, I'm new to R and despite searching today, I can't find a function which will compute the adjoint of a matrix A. Does this adjoint function exist in R? Thanks in advance!

Hi all, Any Java/JRuby folks on the list? I''d like to see if we can implement api.c for JRuby using JNA and see how it handles the callbacks. I''m not a Java guy, nor do I know JNA, but I''ll take a stab at it if no one else on the list does. Here are a couple of useful links: http://www.infoq.com/news/2007/09/jna-jruby https://jna.dev.java.net/ Regards, Dan This

Bonjour, 2008/2/22, Sid Touati <Sid.Touati at inria.fr>: > Bonjour > > > - fichier config.log, dans le r?pertoire de PSP, apr?s avoir lanc? "./configure" > > > le fichier est joint > > > > - r?sultat de "rpm -ql lib64sigc++2.0-devel" > > # rpm -ql lib64sigc++2.0-devel > > /usr/include/sigc++-2.0 >

Dear useRs, how can I construct a box&whisker plot based on the vector "fivenum"? The challenge I face is as follow: I have a table such as x | fivenum --------------- ... | (.....) ... | (.....) and so forth.... For each observation x I have generated a vector containing the fivenum estimates. The first challenge is to group my fivenum vectors into groups based on a

I've just started using R and am still a neophyte, but I found the following curious result. I'm using the current version of R (2.5.1 (2007-06-27) ). Why are the results for the third quartile different in the output from the summary and fivenum commands? For the following data set 457 514 530 530 538 560 687 745 745 778 786 790 792

Full_Name: Richard Huggins Version: 1.7.1 OS: windows 2000 Submission from: (NULL) (131.172.4.44) > x<-rnorm(100,2,1) > mean(x) [1] 1.73299 > summary(fivenum(x)) Min. 1st Qu. Median Mean 3rd Qu. Max. -0.3655 1.1070 1.7430 1.7320 2.3840 3.7910 > summary(x) Min. 1st Qu. Median Mean 3rd Qu. Max. -0.3655 1.1070 1.7430 1.7330 2.3830 3.7910 >

Hi, Consider below test case: 1 #include <unordered_map> 2 3 using key=const int; 4 struct Myhash { 5 Myhash() = default; 6 std::hash<int> hash_int_t; 7 inline size_t operator()(const key& x) const throw() { 8 return hash_int_t(x); 9 } 10 }; 11

Full_Name: David Leong Version: 2.7.2 OS: Windows XP Submission from: (NULL) (12.187.86.2) It appears for the fivenum function, there is a strait average between two ranked samples. This should be a linear interpolation between ranks. For the following data set #data

I'm having trouble understanding the output from as.windrose(). For one thing, data on a boundary between sectors seem to be left out of the counts. I assume that explains the missing point in the output below (angle 45). Shouldn't one side of each sector interval be open, to include values such as my 45 in the example? Also, why does the angle 180 in my input apparently not result in