similar to: In the result of applying 'bquote' to function definition with 2 or more arguments, first function argument disappears (PR#14031)

--- On Fri, 6/11/09, tlumley at u.washington.edu <tlumley at u.washington.edu> wrote: > From: tlumley at u.washington.edu <tlumley at u.washington.edu> > Subject: Re: [Rd] A fix that for 'bquote' that may work? (PR#14031) > To: suharto_anggono at yahoo.com > Cc: r-devel at stat.math.ethz.ch, R-bugs at r-project.org > Date: Friday, 6 November, 2009, 11:42 PM >

Hi Jan, In the lisp code you provide the operators are parsed as simple symbols in a pairlist. In the R snippet, they are parsed as left-associative binary operators of equal precedence. If you unquote a call in the right-hand side, you're artificially bypassing the left-associativity of these operators. To achieve what you're looking for in a general way, you'll need a more precise

Dear R-devel, There is a new feature in R-devel, which explicitly refers to LISP @ operator for splicing. > The backquote function bquote() has a new argument splice to enable splicing a computed list of values into an expression, like ,@ in LISP's backquote. Although the most upvoted SO question asking for exactly LISP's @ functionality in R doesn't seems to be addressed by this

# Hi All, # # I need to solve a somewhat complex equation at many parameter values for # a number of different parameters. # A simplified version of the equation is: 0= (d1/(h1^2))-(h2*(d2^2)) # I'd like to solve it across a parameter space of d1 and d2, holding # h1 and h2 constant. # It seems that uniroot() can do it, but I don't see how to vectorize it. #

Bill, Right. My example was the functional form for clarity. There is a desire for a unary-operator form. (rlang's !! and !!! operators described in the comments in the file I linked to). I can't really make that argument because I'm not one of the people who wanted that. You'd have to talk to the authors of the rlang package to find out their reasons for thinking that is

On Mon, Mar 26, 2018 at 15:57:01 +0300, Apollon Oikonomopoulos wrote: ... > I'd be happy to test the patch, thanks! Ok, try the attached patch. (It is a first pass at the issue, so it may not be the final diff that'll end up getting committed. It'd be good to know if it actually fixes the issue for you - sadly, I don't have a big endian system to play with.) Thanks, Jeff.

Hi R-users, I am trying to estimate function parameters using optim(). My count observations follows a Poisson like distribution. The problem is that I wanna express the lambda coefficient, in the passion likelihood function, as a linear function of other covariates (and thus of other coefficients). The codes that I am using (except data frame) are the following (FYI the parameters need to be

Hello, I've been working with "nnet" and now I'd like to use the weigths, from the fitted model, to iterpret some of variables impornatce. I used the following command: mts <- nnet(y=Y,x=X,size =4, rang = 0.1, decay = 5e-4, maxit = 5000,linout=TRUE) X is (m x n) Y is (m x 1) And then I get the coeficients by: Wts<-coef(mts) b->h1 i1->h1

I am trying to multiply a 3D array of 4x4x4 by the 4 3D arrays of a 4D array with dimensions 4x4x4x4 (the last dimension being the one that I want to split by). (4x4x4 array) > hiaAry , , a1 i1 i2 i3 i4 h1 9.5936098 6.001040 0.08772 0.3138600 h2 1.2003500 1.454570 2.79248 0.0000000 h3 0.1346500 0.201220 0.39256 0.5464000 h4 0.0109000 0.012270 0.16417 0.2766900 ,

Hello, I'm trying to calculate a certain distance estimator for my thesis. I have a program in C that works fine when I call it with .C() in R, but since I'm dealing with big matrices like 30000x20000 it was getting a stack overflow. Now I have the same program but more efficeintly coded using malloc, and it works perfectlry in C, compiles well with R CMD SHLIB but when I call it with

#I have a data set that looks like this. A bit more complicated actually with # three factor levels but these calculations need to be done on one factor at a #I then have a set of different rates that are applied #to it. #dataset cata <- c( 1,1,6,1,1,2) catb <- c( 1,2,3,4,5,6) doga <- c(3,5,3,6,4, 0) data1 <- data.frame(cata, catb, doga) rm(cata,catb,doga) data1 # start rates #

On 06-Nov-09 23:30:12, gug at fnal.gov wrote: > Full_Name: Gerald Guglielmo > Version: 2.8.1 (2008-12-22) > OS: OSX Leopard > Submission from: (NULL) (131.225.103.35) > > When I attempt to use the hist() function to bin integers the behavior > seems > very odd as the bin boundary seems inconsistent across the various > bins. For > some bins the upper boundary

Hi all, Here's my story. I have 3 hosts, 1 remote and 2 local. We'll say for the sake of clarity that h1 is remote and h2 is the local rsync pull host and h3 is also a local host on the net. Using rsync, I want to pull a data set first from h1 to both h2 and h3. The first pull copies all the data from h1 to h2 and h3. OK, that gives me a baseline of the data on both h2 and h3.

Full_Name: Gerald Guglielmo Version: 2.8.1 (2008-12-22) OS: OSX Leopard Submission from: (NULL) (131.225.103.35) When I attempt to use the hist() function to bin integers the behavior seems very odd as the bin boundary seems inconsistent across the various bins. For some bins the upper boundary includes the next integer value, while in others it does not. If I add 0.1 to every value, then the

Hi, I'm having trouble within my function CalcPos to get it to call CalcHorz with values from each row. I *think* it's calling CalcHorz with the final values of the inputs and not the values from each row. How can I do this properly in R? The values aa,bb,cc,dd are inputs. CalcPos first calculates V1 and V2 vertically, and then I attempt to call CalcHorz to handle H1, H2 & H3

I am exploring neural networks (adding non-linearities) to see if I can get more predictive power than a linear regression model I built. I am using the function nnet and following the example of Venables and Ripley, in Modern Applied Statistics with S, on pages 246 to 249. I have standardized variables (z-scores) such as assets, age and tenure. I have other variables that are binary (0 or 1). In

Hi, Thank you for responding quickly and explaining the behavior. By adding "include.lowest=TRUE,right=FALSE" and manually including breaks that resolved the simple test case. Next I updated my more complex data set, which already had manually defined breaks, and that resolved my issues there too. I have now gone in and updated all my functions which use hist() so I

Dear all, I've been struggling for days now with a piece of code that I have posted here before, that has a really obscure bug. I think I may have isolated it, but I have no idea what it is.... It might also be a bug in R I guess, as it seems that one or several of list elements are not passed when a function is called, but quite rarely. I have been hacking rather wildly on the histogram

Hi, Am working on neural network. Below is the coding and the output > library (nnet) > uplift.nn<-nnet (PVU~ConsumerValue+Duration+PromoVolShare,y,size=3) # weights: 16 initial value 4068.052704 final value 3434.194253 converged > summary (uplift.nn) a 3-3-1 network with 16 weights options were - b->h1 i1->h1 i2->h1 i3->h1 16.64 6.62 149.93

Dear all! I have a few questions. I'm running Version 1.0.0 on Digital UNIX. My problem is as follows: I have hundreds of megabytes in images stored in a few hundred files, and I want to extract some basic characteristics about the images in these files. For a start, I need to find the density function of all the files combined. Since it's several hundred MBs, I haven't enough RAM to