similar to: ranking a vector in R

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

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

On Fri, Mar 13, 2015 at 10:16 AM Mark Heffernan <meheff at google.com> wrote: > On Thu, Mar 12, 2015 at 2:34 PM, Hal Finkel <hfinkel at anl.gov> wrote: > >> It is not clear to me at all that preventing the merging is the right >> solution. There are a large number of analysis, including alias analysis, >> and optimizations that use GetUnderlyingObject, and

Hello All, Eric Langley here with my first post to this list. I am looking to determine if R is suitable for a development project I am working on and if so possibly finding someone proficient in R that would be interested in doing the coding. I would like to preface my inquiry that while I am not a programmer I can communicate in a dialog my objectives. An array of rank ordered data looks like

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

----- Original Message ----- > From: "Jingyue Wu" <jingyue at google.com> > To: "Daniel Berlin" <dberlin at dberlin.org>, "Mark Heffernan" <meheff at google.com>, "Hal Finkel" <hfinkel at anl.gov> > Cc: "LLVM Developers Mailing List" <llvmdev at cs.uiuc.edu> > Sent: Friday, March 13, 2015 1:31:59 PM >

Full_Name: Stella David Version: 2.1.0 OS: mingw32 Submission from: (NULL) (137.250.161.136) It seems that rank doesn't work right on vectors containing negative values. If the negative value is the first component or there are only two components, it works, but if the negative value is somewhere in the middle there's a problem. Here are my examples: > # wrong: > x<-

DeaR list, I happily use eigen() to compute the eigenvalues and eigenvectors of a fairly large matrix (200x200, say), but it seems over-killed as its rank is limited to typically 2 or 3. I sort of remember being taught that numerical techniques can find iteratively decreasing eigenvalues and corresponding orthogonal eigenvectors, which would provide a nice alternative (once I have the

Dear R users,   I have a dataframe with lot of duplicate cases and I want to delete duplicate ones which have low rank and keep that case which has highest rank. e.g   > df1   cno      rank 1  1342    0.23 2  1342    0.14 3  1342    0.56 4  2568    0.15 5  2568    0.89   so I want to keep 3rd and 5th  cases with highest rank (0.56 & 0.89) and delete rest of the duplicate cases. Could

I would like to make a ranking operation more efficient if possible. The goal is to rank a set of points representing objective function values such that points which are "dominated" by no others have rank 1, those which are dominated by one other point have rank 2, etc. In the example with two dimensions below, objective functions 1 and 2 are to be minimized. Points a-e are

Hi, I have a data.frame which is ordered by score, and has a factor column: Browse[1]> wc[c("report","score")] report score 9 ADEA 0.96 8 ADEA 0.90 11 Asylum_FED9 0.86 3 ADEA 0.75 14 Asylum_FED9 0.60 5 ADEA 0.56 13 Asylum_FED9 0.51 16 Asylum_FED9 0.51 2 ADEA 0.42 7 ADEA 0.31 17

Dear lmer-ers, My thanks for all of you who are sharing your trials and tribulations publicly. I was hoping to elicit some feedback on my thoughts on denominator degrees of freedom for F ratios in mixed models. These thoughts and practices result from my reading of previous postings by Doug Bates and others. - I start by assuming that the appropriate denominator degrees lies between n

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

>From the following: basin.map <- readAsciiGrid("c:/temp/area.asc", colname="area") I have a SpatialGridDataFrame which has the x and y cordinate of a cell, and the drainage area of that cell. There are many cells with a low drainage area (in my case, 33000 with an area of 37.16) and one cell with the highest drainage area (again, in my case, a drainage area of of

Hi, I'd like to rank obs in a data frame as subset by 2 or more columns... The example input would look like the following: ====+====+====+====+ x y v -- -- -- a w 200 a w 100 b w 500 b w 200 b z 300 b z 400 ====+====+====+====+ And the data frame I want to create is below: ====+====+====+====+ x y v rank -- -- -- ---- a w 200 1 a w 100 2

Hi, It is not that clear. If VAR1 is a match between columns AB001A, AB0002A, VAR2? between AB001A, AB362 and VAR3 between AB0002A and AB362: Also, I assume row8 match would be taken as 1. dat1<- read.table(text=" ? S.No AB001A AB0002A AB362 ?? 1?? -/-??????? C/C?? A/A??????????????????????? ??? 2?? C/C??????? C/C?? A/A??????????????????????? ??? 3?? C/C??????? C/C??

Dear Helpers, I have a dataset X, with no missing values, everything is in order, R reads it correctly, and I have already done some statistical analyses on the dataset. The data are in order by date (six sampling dates in one year, earliest to latest) and I now want to generate boxplots for each parameter for each date. However, R outputs the boxplots in some order that I do not understand (eg.

Hello, I am Mohiuddin Abdul Qader, final year student from dept of CSE in Bangladesh University of Engineering & Technology(BUET). My major was artificial intelligence & i finished my course on Machine Learning and Pattern Recognition this year. I am very keen to contribute in open source community. I have just completed my thesis on 'Location Based Structured Web Search'. For the

Hello, I want to discuss my idea on ranking in IR system which I think can be good extension to Xapian. If I am not too late to discuss it then please consider it. I first give you brief background of me, I am a Masters student working on my thesis in the Information Retrieval. I today only got a mail from one of the professor from Europe whom i am going to join for Ph.D about GSoC and more

Hi, all, I am currently trying to learn this example. http://learnr.wordpress.com/2009/03/17/ggplot2-barplots/ I created the stack bar easily. If I would like to rank the stack bar from the highest on the right, shortest on the left and eventually I could show the data "1991-00" on the left and "1823-30" on the right, how could I do that? Apart from this, I find