search for: corresponding

...: 32 trace:wgl:dump_PIXELFORMATDESCRIPTOR - Stencil : 0 trace:wgl:dump_PIXELFORMATDESCRIPTOR - Aux : 0 trace:wgl:dump_PIXELFORMATDESCRIPTOR - iLayerType : PFD_MAIN_PLANE trace:wgl:get_formats Found 18 bitmap capable fbconfigs trace:wgl:get_formats Found onscreen format FBCONFIG_ID 0x75 corresponding to iPixelFormat 1 at GLX index 0 trace:wgl:get_formats Found onscreen format FBCONFIG_ID 0x76 corresponding to iPixelFormat 2 at GLX index 1 trace:wgl:get_formats Found onscreen format FBCONFIG_ID 0x77 corresponding to iPixelFormat 3 at GLX index 2 trace:wgl:get_formats Found onscreen format FBCONF...

Hi, I'd like to modify MachineBasicBlock contents within a MachineFunctionPass on the basis of how many CPU cycles the assembly instructions corresponding to the MBB take. I'm using the AVR backend and the number of CPU cycles every AVR assembly operation takes is openly available. Is there any straightforward way of getting the opcode mnemonics corresponding to a MachineInstr? I've gone through this thread (http://lists.llvm.org/pipermail/l...

Is there an R function that does canonical correspondence analysis. Can it be done using the VR function corresp()? If not, how hard it be to write R code to do it? I am a population biologist with long but patchy programming experience in C, Smalltalk, Java and other languages. Thanks, Patrick Foley patfoley at csus.edu

I am looking into change the numeric order in the level of the factor > x<-c("A","B","C") > fx<-factor(x) > fx [1] A B C Levels: A B C > factor(x) [1] A B C Levels: A B C > as.numeric(fx) [1] 1 2 3 I want to change the order of the numeric into 3 corresponds to ?A? level, 2 corresponds to ?B? level and 1 corresponds to ?C? level So when I

Hi, I hope someone knows the answer to this or has a real good reference about it (I am using Legendre & Legendre, Numerical Ecology, 1998).... My data is a data.frame with locations as rows and vegetation assemblages / species as columns. I've done a PCA, a correspondance analysis (CA) using ca in ca package and a detrended correspondance analysis (DCA) using decorana from vegan package.

..., we have this following code: v = load q store 10, p => store 10, p v = load q // This is incorrect if p and q may alias In the MemorySSA representation however, there's no syntactic dependency between load/store, because MemorySSA before transformation would look like this: USE(M0) // corresponding to `v = load q` M1 = DEF(M0) // corresponding to `store 10, p` Reordering these two nodes does not break syntactic dependency, hence additional flow-sensitive analysis is needed to check whether reordering is valid. To my understanding, GVNHoist seems to do that: Memory operations in basic blocks...

Hello everyone, I am totally new to the R program. I have had a look at some pdf documents that I downloaded and that explain how to do many things in R; however, I still cannot figure out how to do what I want to do, which is to perform Discriminant Correspondence Analysis on a rectangular matrix of data that I have in an Excel file. I know R users frown upon Excel and recommend converting Excel

...ir tags and members satisfy the following requirements: If one is declared with a tag, the other shall be declared with the same tag. If both are complete types, then the following additional requirements apply: there shall be a one-to-one correspondence between their members such that each pair of corresponding members are declared with compatible types, and such that if one member of a corresponding pair is declared with a name, the other member is declared with the same name. For two structures, corresponding members shall be declared in the same order. For two structures or unions, corresponding bit-fi...

Hi, I'm trying to find the corresponding Fortran77 subroutines for R function pt(). I tried some Fortran77 subroutines to compute the t distribution function. But none of them are as good as R function pt(). Does anyone can give me some information about it? Thank you very much! Tianyue

http://www.cuddyvalley.org/psychoR/code now contains version 1.4 of ca.R There are already many versions of CA and CCA in various R packages, but this one has some unique features, so maybe it is useful. The function ca() can do simple CA, but it also allows for linear restrictions on the row and column scores (they can be restricted to be in the span of a number of covariates). Thus the

SocketError in EmailController#correspond getaddrinfo: no address associated with hostname. Please see above, these are the errors i get when i try to email a user on my networking site. Can you help please. Actionmailer address = smtp.vodafone.ie Below is code used for the email controller in apps/controllers/email_controller.rb There doesnt seem to be any code missing. Can someone help with

Greetings, again. This is not strictly an R question, so please feel free to ignore it if you like. My question is about the substance of correspondence analysis. Specifically, is it appropriate to use ca on a matrix of values such that the columns and/or rows are not mutually exclusive? To be more detailed: - The standard use of ca is illustrated in the example of corresp() (from MASS):

...0 0 1100 2 0 0 0 0 1110 1 0 0 0 0 The first column represents the categories found among observers, the top row represents the categories found by the reference ("goldstandard"). I am looking for a way (general algorithm) to extract a data.frame with only the corresponding categories among observers and reference from the above confusion matrix. "Corresponding" means in this case, that a category has been chosen by both: observers and reference. In this example corresponding categories would be simply all categories that have been chosen by the reference (0...

...ers of plot.ca does not allow me to do this so I wonder if there is a way to force this in R. An example to see what I want is the following: library(ca) data(author) plot(ca(author), arrows=c(FALSE,TRUE)) The object "author" is composed of two datasets, I would like to omit the points corresponding to columns from a-m, while still maintaining the points in the second datasets, i.e. columns from n-z. Any help is more than appreciated. Best regards, ---sram

Hi R, I was experimenting with the CA package for correspondence analysis. data(author) ca(author) plot(ca(author)) How can I get the values used by the plot for the two axis for biplot? In other words, how will I be able to obtain the scores in the dimensions (which are obtained by PCA) of the graphs? Thanks. Thanks and Regards, Shubha This e-mail may contain

R-ecologists: Anyone wanting to create a Krebs package for R can do so using the C-source code avalaible at: ftp://gause.biology.ualberta.ca/pub/jbrzusto/krebs/source.zip Barry J. Cooke Current mailing address: Ph.D. Candidate 3971 NW 23 Circle Environmental Biology and Ecology Gainesville, Florida, USA Department of Biological Sciences 32605

...S and Samba accounts with the same name. Bernd -----Original Message----- From: Wieprecht, Karen M. [mailto:Karen.Wieprecht@jhuapl.edu] Sent: Wednesday, August 14, 2002 8:54 PM To: 'samba@lists.samba.org' Subject: [Samba] Winbind in Samba 2.2.5 not automatically mapping the NT users with corresponding UNIX accounts Running the SGI freeware build of samba 2.2.5, using winbind successfully (wbinfo -u works like a champ)and security=domain. NT users with no corresponding UNIX account correctly map into a UID range listed in my smb.conf file, but NT users who happen to HAVE a corresponding UNIX...

I have a problem where I need to calculate the corresponding cohort percentile ranks for each of several variables. Essentially, what I need is a function that will calculate the distribution-free percentiles from each variable's data vector, returning a corresponding vector of percentiles: e.g.: percentile.my.data<-/function/(my.data) I tried...

bonjour, Je voudrais faire une analyse des correspondances multiples avec R. avec les repr?sentation graphiques correspondantes avec R. je ne sais pas comment proc?der .. en vour remerciant par avance Faouzi

Dear R-ers, still the newbie. With a question about coordinates of a vector appearing or not in a data.frame. I have a data.frame (MyData) with 3 columns which looks like this: V1 V4 redNew red-j 10.5032 appearance blood-n red-j 9.3749 appearance ground-n red-j 10.2167