similar to: stat problem: scaling of random subset of survey?

Hello, I'm curious if anyone has encounted a version of this problem (and it's solution) involving finding a consistent set of scales for subsets of survey data. The goal is to obtain peoples' rankings of pairwise similarity of a large number of items, on a 1..5 scale for example, and average these across people to use as input to MDS: How similar is object A to B on a 1..5

I have reached the correlation section in a course that I teach and I hit upon the idea of using data from the weekly Bowl Championship Series (BCS) rankings to illustrate different techniques for assessing correlation. For those not familiar with college football in the United States (where "football" refers to American football, not what is called soccer here and football in most

Hello, I have an experimental design where I would like to use separate ranking events to predict an independent ranking event. I have been using function clmm in the ordinal library but now realize that I am violating one of the assumptions. I have included a subset of the data. I am looking at how undergraduate students perceive the architecture and biological correctness of box and arrow

Hey, I have proposed an idea to work on ranking/weighting schemes with Xapian using Xapian's suggested ideas list and also putting in a bit of my own input. I am pasting my project proposal here because I wanted to discuss it out. Project Discussion: When results are indexed into the search index, they must be ranked before hand for faster information retrieval. Now this is where I plan to

Hello, I am not only interested in finding out which genes are the most highly up- or down-regulated (which I have done using the linear models and Bayesian statistics in Limma), but I also want to know which genes are consistently highly transcribed (ie. they have a high intensity in the channel of interest eg. Cy5 or Cy3 across the set of experiments). I might have missed a straight forward

This is more of a conceptual/methodological question than "how to do it in R", so anyone who cares to reply might want to do it off list. I have censored rank order data .. electors have been asked to rank the 4 most important issues out of a list of 20. For each individual we therefore have a vector of 20 measurements 1..5, where 1..4 are ranks and 5 = not ranked/less important than

Hey Everyone, Im fresh new in R, and Im supposed to write a code to give me a correlation between two rankings. So I have two ranking lists, which contain file names, e.g.: Ranking list 1: file1.java file3.java file2.java Ranking list 2: fiile2.java file4.java file1.java I need to see how much are these two ranking lists are alike, get a correlation between them. I dont even know where to

On Tue, May 5, 2015 at 10:31 AM, Daniel Berlin <dberlin at dberlin.org> wrote: > On Tue, May 5, 2015 at 10:20 AM, Jingyue Wu <jingyue at google.com> wrote: > > Hi Daniel, > > > > I presume you mean, instead of assigning function arguments distinct > ranks > > (http://llvm.org/docs/doxygen/html/Reassociate_8cpp_source.html#l00282), > we > > should

Your website''s ranking on search engines is a vital element of your overall marketing campaign, and there are ways to improve your link popularity through legitimate methods. Unfortunately, the Internet is populated by bands of dishonest webmasters seeking to improve their link popularity by faking out search engines. The good news is that search engines have figured this out, and are

Dear all, My data includes almost three thousand people who rank ten categories into three variables. The simple example below is almost same except I have many missing values. x <- cbind( sample( LETTERS[1:10] , 3000 , replace = TRUE ) , sample( LETTERS[1:10] , 3000 , replace = TRUE ) , sample( LETTERS[1:10] , 3000 , replace = TRUE ) ) I try to figure

On Tue, May 5, 2015 at 10:20 AM, Jingyue Wu <jingyue at google.com> wrote: > Hi Daniel, > > I presume you mean, instead of assigning function arguments distinct ranks > (http://llvm.org/docs/doxygen/html/Reassociate_8cpp_source.html#l00282), we > should group function arguments in favor of existing pairings. Existing = pairings reassociate already chose before *not* existing

An interesting, and topical, example of multivariate data for classroom illustrations are the American college football rankings. Starting at the end of October (or "week 8", the 8th week of the football season) a set of rankings called the BCS (Bowl Championship Series) will be published. This is a composite ranking based on two subjective polls, the Harris and USA Today polls, and a

Hey Everyone, Im fresh new in R, and Im supposed to write a code to give me a correlation between two rankings. So I have two ranking lists, which contain file names, e.g.: Ranking list 1: file1.java file3.java file2.java Ranking list 2: fiile2.java file4.java file1.java I need to see how much are these two ranking lists are alike, get a correlation between them. I dont even know where to

Hi all, I am a biostatistician and I have developed my own ranking system for clinical data. I would like to test the efficiency of it w.r.t. to other ranking systems. I would like to simulate the data and after assigning ranks to my observed scores(after neglecting dropouts), observe the type I error. If I want to do a Kruuskal Wallis type of test, what test statistic should I use to test for a

Hi- I'm wondering if anyone can help me with my code. I'm coming up dry when I try to get a p-value from the following code. If I make a histogram of my resampled distribution, I find the difference between by groups to be significant. I've ranked the data since I have outliers in one of my groups. mange= c(35, 60, 81, 158, 89, 130, 90, 38, 119, 137, 52, 30, 27,

Hello I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that the data is ordinal. At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection. I've been trying to find a procedure in R that can handle ordinal based classification and so far have

Given this example #start code a<-c(0,70,50,100,70,650,1300,6900,1780,4930,1120,700,190,940, 760,100,300,36270,5610,249680,1760,4040,164890,17230,75140,1870,22380,5890,2430) b<-c(0,0,10,30,50,440,1000,140,70,90,60,60,20,90,180,30,90, 3220,490,20790,290,740,5350,940,3910,0,640,850,260) wilcox.test(a, b, paired=FALSE) #sum of rank for first sample sum.rank.a <-

Hi all, I am a biostatistician and I have developed my own ranking system for clinical data. I would like to test the efficiency of it w.r.t. to other ranking systems. I would like to simulate the data and after assigning ranks to my observed scores(after neglecting dropouts), observe the type I error. If I want to do a Kruuskal Wallis type of test, what test statistic should I use to test for a

Hi Daniel, I presume you mean, instead of assigning function arguments distinct ranks ( http://llvm.org/docs/doxygen/html/Reassociate_8cpp_source.html#l00282), we should group function arguments in favor of existing pairings. You are not suggesting discarding the entire ranking system, right? I'll look into how that works on my benchmarks. AFAIK, we encountered some cases that seem beyond

The application period for GSOC has closed! Please read the following information carefully. Upcoming deadlines: April 7 - Organizations update projected slot allocations. April 15th - All student applications must be ranked and assigned a mentor. April 20 - Accepted student proposals announced. Students: Many of your proposals are not complete and you should complete them as soon as