search for: transpositions

Hi everyone. I want to transpose a data frame. Lets say the following DF: df = data.frame(matrix(ncol=4, nrow = 10)) df[,1] = c(rep(1,5),rep(2,5)) df[,2] = c(rep('a',4),rep('b',3),rep('c',3)) df[,3] = c(letters[5:14]) df[,4] = runif(10) I would like to form a data frame with each line corresponding to colon X1 and create a variable with columns X2 and X3. This would

Hi use Rs, I have a csv file: "1989-90","1990-91" Barley,23,34 Oats,15,16 Which I want to turn into: year, Barley, Oats 1 "1989-90", 23, 15 2 "1990-91",34,16 Transpose doesn't quite do it, is there a standard way? Cheers, Geoff Russell

...OR" ... and I am interested in creating a matrix that contains the string edit distances between each pair of words. I am this close -> ' ' <- to writing the algorithm myself (which will allow for different variations on the string edit rules, indels, plus or minus transpositions, and possibly some variations on that), but I figured I'd see if anyone on the list has any experience with this and might already have some shoulders for me to stand on. Thanks, Thomas Thomas Hills Ph.D. Department of Psychological and Brain Sciences Indiana University Bloomington, IN...

x <- read.table("LittleGarvin.csv", sep=",", header=TRUE) y <- t(x) str(y) chr [1:193, 1:288] "oligocha" "0" " 0" " 0" " 0" "0" ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:193] "X" "upwd1201" "upwd0502" "upwd0702" ... ..$ : NULL x is a data frame with

Dear R-helpers, I wonder if I could impose upon you for forther assistance, this time with dataframes: hopefully this will be of general interest, as I personally have found them hard to get to grips with. I was trying to transpose rows and cols and move col1 to the names. Then all sorts of things go wrong. Although the end result looks the same, page() shows the structure to be quite

R Version 2.12.1 (2010-10-15) vs 2.12.0 has slowed down 8 fold for dual core and 17 fold for dual-core-dual-processor Macs. I have checked this result on 3 different macs using the following R-script: Using Version 2.12.0 on a dual core dual processor Mac: > source("http://www.bio.umass.edu/biology/kunkel/pub/R/CuriousResult.R") matrix multiplication 43.543 1.308 14.788

Dear R'Helpers and Colleagues, I have looked in the documentation, asked to some colleagues in the lab, but was unable to solve the following difficulty. I am running R on a iMac G5 with OS 10.4. The file below (73 rows x 144 col) shows the values of a climatic index on the globe with a grid of 2,5 ? x 2,5 ? (NA = no value): ? With image() and map() and running the following

...one bug showed up ☺ I continued to look into this with your viewpoint that a node that is conservatively allocatable should never be spilled. The first thing I did was therefore to add some extra code with an assert for this. I believe I then found three bugs and fixed the two: Bug 1: Incorrect transpositions in handleAddEdge() / hanldeRemoveEdge(). For the heuristic of DeniedOpts, if N runs along the columns (Transpose == true), the interesting dimension is along the rows, and vice versa. In other words, the question is what the neighbour could maximally deny N, and the answer is found in WorstRow, not...

...the value in location A[i,j] for some imaginary matrix A. I need to build this matrix A, but given the sizes of i and j, I believe that using a sparse format would be most adequate. Hopefully this will allow me to perform some basic matrix manipulation such as multiplication, addition, rowsums, transpositions, subsetting etc etc. Is there any way to achieve this goal in R? Thanks, Danny [[alternative HTML version deleted]]

I have the following problem. It is not of earthshaking importance, but still I have spent a considerable amount of time thinking about it. PROBLEM: Is there any way I can have a single textfile that contains both a) data b) programcode The program should act on the data, if the textfile is source()'ed into R. BOUNDARY CONDITION: I want the data written in the textfile in exactly

...d that that feature appears currently inaccessible via `convertColor`, it may be worth using this opportunity to change the adaptation method to "Bradford". A suggested patch follows.? It is intended to minimize the required changes, although doing so requires a double transposition.? The transpositions could be easily avoided, but it would require reformulating the calculations in`chromaticAdaption`. Best, Brodie. Index: src/library/grDevices/R/convertColor.R =================================================================== --- src/library/grDevices/R/convertColor.R?? ?(revision 75298) +++ src...

> A node should never be put into the conservatively allocatable list if there is a chance of it spilling. I can understand why the logic of NodeMetadata::isConservativelyAllocatable is necessary for the node to be allocatable, but I have not been able to convince myself this is sufficient, especially when the node degree > available registers. Cheers, Arnaud From:

...his with your viewpoint that a node that is > conservatively allocatable should never be spilled. The first thing I did > was therefore to add some extra code with an assert for this. > > > > I believe I then found three bugs and fixed the two: > > > > Bug 1: Incorrect transpositions in handleAddEdge() / hanldeRemoveEdge(). > For the heuristic of DeniedOpts, if N runs along the columns (Transpose == > true), the interesting dimension is along the rows, and vice versa. In > other words, the question is what the neighbour could maximally deny N, and > the answer is fo...

Dear List, is there an elegant (or even not elegant) way how to transform dissimilarity or distance matrix A (or, in general, arbitrary symmetrical matrix) by transposition of rows and columns into a form closest to "block diagonal" matrix B? The matrix A is adjusted the following way A[A<epsilon] <-0 #(epsilon is given "small" number) B: (in its ideal form)

Hello everybody When one is working with complex matrices, "transpose" very nearly always means *Hermitian* transpose, that is, A[i,j] <- Conj(A[j,i]). One often writes A^* for the Hermitian transpose. I have only once seen a "real-life" case where transposition does not occur simultaneously with complex conjugation. And I'm not 100% sure that that wasn't a

Hi all, Why cov(y, y) only gives one value, and cov(t(y), t(y)) gives 3x3 NA matrix? Here my y is listed below and it is a 3x1 matrix. I am expecting that if I have a random vector y=[y1 y2 y3]', here " ' " denotes a transposition so that y is a column vector, where y1, y2, y3 are independent random variables... then cov(y, y) should be E[ y * y' ] - E[y] * E[y] ',

Hello, I have a dilemma that I'm hoping the R gurus will be able to help resolve. For background: My data is in the form of a (dis)similarity matrix created from taking the inverse of normalized reaction times. That is, each cell of the matrix represents how long it took to distinguish two stimuli from one another-- a square matrix of 45X45 where the diagonal values are all zero (since this

Hello - I found this post on the llvm blog: http://blog.llvm.org/2012/12/new-loop-vectorizer.html which makes me think that clang / llvm are capable of generating AVX with packed instructions as well as utilizing the full width of the YMM registers… I have an environment where icc generates these instructions (vmulps %ymm1, %ymm3, %ymm2 for example) but I can not get clang/llvm to generate such

I am currently trying to write a program that minimises the amount of work required for “auditable” qPCR data. At the moment I am using an Excel (.csv) spreadsheet as source data that has been transposed to the column format required for R to read. Unfortunately, this means I have* *to manually confirm the whole data set prior to doing any analysis, which is taking a considerable amount of time!

Hello all, I'm having a problem with data handling. My input data is (dput in the after the signature): Date Time Fraction 06/19/13 22:15:39 0.3205 06/19/13 22:15:44 0.3205 06/19/13 22:15:49 0.3205 06/19/13 22:15:54 0.3205 06/19/13 22:15:59 0.3205 06/19/13 22:16:09 0.3205 Date in format month/day/year, Time in HH:MM:SS and fraction represents the fractions of