search for: unnormed

Hi list, I am writing several functions and running out variable names. I am using words such as "t", "c", "matrix" to keep the notation same as formulas I am using. For example I have, unnormalized <- function(t, x, y){ val <- rnorm(t, mean=x, var=y) return(val) } metropolis <- function(t, c, x, y){ den1 <- unnormalized(t, mean=x, sd=y)

Hi Duncan et al, Our linker guy brought up a problem with how we pad out our exception tables. Right now we pad them out like this: .section __DATA,__gcc_except_tab .align 2 GCC_except_table13: .byte 0x0 #< --- hun? .byte 0x0 #< --- hun? Lexception13: .byte 0xFF .byte 0x0 .byte 0xB2, 0x1 > Here are his comments: The problem is that the linker parses FDE which gives it

How can I get the result of, e.g., poly(1:3. degree=2) to give me the unnormalized integer coefficients usually used to explain orthogonal polynomial contrasts, e.g, -1 1 0 -2 1 1 As I understand things, the columns of x^{1:degree} are first centered and then are normalized by 1/sqrt(col sum of squares), but I can't see how to relate this to what is returned by poly(). >

Hi Bill, > It looks like your goal is to keep the 32-bit pointers in the call-site table 4-byte aligned. Here is another solution, instead of having two labels at the start of the LSDA (with pad bytes between them), have no pad bytes and instead use an unnormalized uleb128 for the call-site table length. By unnormalized, I mean one with leading zeros. For instance, instead of: this sounds

Hi, I try to calculate the angle between two first eigenvectors of different covariance matrices of biological phenotypic traits for different populations. My issue here is, that all possibilities to do so seem to normalize the eigenvectors to length 1. Although the helpfile of eigen() states, that using eigen(, symmetric = FALSE, EISPACK =TRUE) skips normalization this is (I guess) not applicable

Dear People, I hope someone can help me with this. I have a function (density) which I am trying to plot using curve. I am calling mg.hist(3,2,1), and getting the following errors. Error in xy.coords(x, y, xlabel, ylabel, log) : x and y lengths differ In addition: There were 50 or more warnings (use warnings() to see the first 50) > warnings() 1: longer object length is not a multiple of

>> It looks like your goal is to keep the 32-bit pointers in the call-site table 4-byte aligned. Here is another solution, instead of having two labels at the start of the LSDA (with pad bytes between them), have no pad bytes and instead use an unnormalized uleb128 for the call-site table length. By unnormalized, I mean one with leading zeros. For instance, instead of: > > this sounds

On Feb 5, 2010, at 4:00 PM, Duncan Sands wrote: > Hi Bill, > >> It looks like your goal is to keep the 32-bit pointers in the call-site table 4-byte aligned. Here is another solution, instead of having two labels at the start of the LSDA (with pad bytes between them), have no pad bytes and instead use an unnormalized uleb128 for the call-site table length. By unnormalized, I mean one

...should be dead on, not just "close"). By the way, "normalized" does not automatically mean anything unless "to what" is stated. I could normalize something arbitrarily to the number of tics on my dogs back side, and still call it normed, or erroneously refer too it as unnormed. If "normalized" is suposed to mean something specific, then I am confident that more than 90% of undergraduates are not familiar with what the term "should" mean. Stats and coding and using programs are a human endeavor. This human seems to have made meaning out of terms differ...

I have hit a problem with the design of the mcmc package I can't figure out, possibly because I don't really understand the R function call mechanism. The function metrop in the mcmc package has a ... argument that it passes to one or two user-supplied functions, which are other arguments to metrop. When the two functions don't have the same arguments, this doesn't work.

Hello wizards, I need to convert the following functions (prestd, poststd, prepca) of matlab to R. Does Somebody knows how to do it. A description of the functions is: prestd preprocesses the network training set by normalizing the inputs and targets so that they have means of zero and standard deviations of 1. poststd postprocesses the network training set which was preprocessed by prestd. It

Hi Bill, Just to verify that I understand correctly, the proposal should not have any affect on pre-existing code since we already call readULEB128(...) for the call-site table length. High bit set for 3 bytes results in 4 byte read as per uleb128. This is obvious now that I've taken time to write this, but hey if nothing else it helps the list. :-) Garrison PS: Are you still revamping the

Hi I am looking for an implementation (or alternative to) Mallow's distance or the Earth Mover's distance to compare distributions or unnormalized distributions (signatures). Is there an implementation in R or can somebody recommend an alternative? Thanks Rainer -- Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology, UCT), Dipl. Phys. (Germany) Centre of

We have experienced some trouble with samba lately. The servers load going from 5 to 20 causing everything to go very slow, but when I use top to check which process could be the cause of the trouble nothing uses CPU cycles. We have about 90% idle CPU usage, but load from 5-20. When I kill samba (service smb stop) the root-smb process still hangs and when I kill it (kill -9) the load goes

Dear R users, if all my numerical variables in my datasets having the same units, may I leave them unnormalized, just do cv.glmnet directly(cv.glmnet(data,standardize=FALSE))? i know normally if there is a mixture of numerical and categorical , one has to standardize the numerical part before applying cv.glmnet with standardize=fase, but that's due to the different units in the numerical

*Hi all,* * * *The following is my general idea for the project. For a complete query parser I still need to consider more details. Please give me feedback because the description of this project is lack of detailed information, and I can submit my proposal without giant deviation.* * * design principle of query parsing: 1) better understanding user input. All search engine do is understanding

Hi, we run an "old" mailserver system which was set up a couple of years ago. The systme dose "everything" what we need(ed). Over the last days I noticed an unnormal increase of the system load up to 10 and lots of users told me that there mailclient connections (sending and receiving) are dropped from time to time. I was planing to exchange the server respectively distribut

Dear all, Can any one tell me how can i perform Orthogonal Polynomial Regression parameter estimation in R? -------------------------------------------- Here is an "Orthogonal Polynomial" Regression problem collected from Draper, Smith(1981), page 269. Note that only value of alpha0 (intercept term) and signs of each estimate match with the result obtained from coef(orth.fit). What

Hi all, Thank you for giving me the opportunity to work with Xapian :) I am Jiarong Wei, a third year undergraduate student in Zhejiang University, China. In GSoC 2014, I will work on Letor module with Hanxiao Sun. Here are some questions I encountered these days, 1. In letor.cc, we have two parts of functions: the training part and the ranking part. I?ll use SVMRanker as an example. The

Hi list, I'm looking about lda function. I'd like to know how calcolate the value of the discriminant functions for the original datas. I see that in the result object "lda" there is $scaling a matrix which transforms observations to discriminant functions, normalized so that within groups covariance matrix is spherical. I'd like to have the value of the discriminant