similar to: how to eval subset?

Hi Chris, Chris Lattner wrote: >> 2) Line 369 of PPCInstrInfo.td, we declare the non-callee saved registers. >> However, Linux and Darwin do not have the same set >> of non-callee saved registers. I don't know how to make the if(isDarwin) test >> in here >> > > Take a look at ARM/ARMRegisterInfo.td for an example of this I tried to define Defs just

Dear everybody, I have a following problem. I have a 3D array lambda <- array( dim=c(N,M,M-1)) where I have to extract the elements as follows: lambda[ 1, state[1], 1] lambda[ 1, state[1], 2] ... lambda[ 1, state[1], M-1] lambda[ 2, state[2], 1] ... lambda[ 2, state[2], M-1] ... lambda[ N, state[N], M-1] i.e. the result should be a 2D array, where the second index follows the first one

Dear R Users: The functions of our "micEcon" package [1,2] can be subdivided into three categories: - microeconomic demand and firm models - sample selection models (mainly selection()) - routines for (likelihood) maximisation (e.g. maxLik(), maxNR(), maxBHHH()) (mainly used for ML estimation of sample selection models) Although sample selection models are often used in

Hi, all: Two examples are shown below. I want to use the multiple comparison of Dunnett. It succeeded in upper case "example 1". However, the lower case "example 2" went wrong. In "example 2", the function pmvt return NaN, so I cannot show this simtest result. Is there any solution? (I changed the variable "maxpts" to a large number in front of the

Full_Name: Ott Toomet Version: 2.6.0, 2.5.x OS: debian etch, lenny Submission from: (NULL) (80.235.63.243) When building a package with 'R CMD build name_of_directory" using "et_EE.UTF-8" locale, I get the following: siim at tancredi:~/tyyq/econ/micEcon$ R CMD build trunk * checking for file 'trunk/DESCRIPTION' ... OK * preparing 'trunk': * checking

I'm trying to evaluate a pre-built expression using eval(), e.g. dataset <- data.frame(y = runif(30, 50,100), x = gl(5, 6)) # one like this mf <- expression(model.frame(y~x)) eval(mf, dataset, parent.frame()) # rather than this eval(expression(model.frame(y~x)), dataset, parent.frame()) In the example above there is no problem, the problem comes when I try to do a similar thing

Hi, when I use use subset in a data.frame, all empty levels are maintained in the new table. > test <- data.frame(a=as.factor(rep(c("f1","f2","f3"),10)),b=rep(c(1,2,3),10)) > summary(test) a b f1:10 Min. :1 f2:10 1st Qu.:1 f3:10 Median :2 Mean :2 3rd Qu.:3 Max. :3 > test2 <-

Hi, I'm using maxlik with functions specified (L, his gradient & hessian). Now I would like determine some robust standard errors of my estimators. So I 'm try to use vcovHC, or hccm or robcov for example but in use one of them with my result of maxlik, I've a the following error message : Erreur dans terms.default(object) : no terms component Is there some attributes

In the following example, the inner evaluation pulls in the global value of subset (a function) rather than the one I thought I was passing in (a vector). Can anyone help me understand what's going on, and what I need to do to fix the problem? f0 <- function(formula, data, subset, na.action ) { f1(formula, data, subset,

Hi, are there any way to convert ISO8601 weeks to gregorian dates? Something like coverttodate(year=2006, week=38, day=1) # Sept 18, 2006 Thanks in advance, Ott

Dear R-gurus, I would like to use a lapply on a kind of "bivariate" problem. I have a vector and a list, components of which are vectors, e.g. vec <- c(1,2,3) lst <- list(1, c(2,3), c(4,5,6)) I want to apply a function to each component of the list, using the corresponding component of the vector as a parameter. E.g. I want a list in the form list(lst[[1]] + vec[1], lst[[2]]

Hi, I have made a tiny package for saving dataframes in ASCII format. The package contains functions save.table() and save.delim(), the first mimics (not completely) write.table() and the second uses just different default values, suitable for read.delim(). The reason I have written the functions is that I have had problems with saving large dataframes in ASCII form. write.table() essentially

Hi, is there a possibilty to get my function output with "cat " as data.frame.rows with variables ? Var1---------------- 8 15 1 3 Var2---------------- 0.170 0.319 0.0213 0.0638 Var3---------------- 83.8 88.6 90 75 Var4---------------- 84.3 84.3 100 83.3 Var5---------------- 62.5 56 20 53.3 function(data.frame) { .... ....

Hi there, I am wanting to create 8 side-by-side histograms which have been rotated 90 degrees clockwise from how they usually sit.. all with the same scales. Is someone able to help me out? Thanks so much, Rachel Cunliffe -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hi, I have not get much response for my question about read.table for couple of days ago. As I said, the problem is that read.delim() do not want to read more than 51 lines of data, with longer file it reads the first column as row names, although I have not noticed any special binary symbols around line 51 either. This problem seems to happen with this particular file, I could easily read in a

Dear List, I am writing a formula method for a function in a package I maintain. I want the method to return a data.frame that potentially only contains some of the variables in 'data', as specified by the formula. The problem I am having is in writing the function and wrapping it around model.frame. Consider the following data frame: dat <- data.frame(A = runif(10), B = runif(10), C

First of all, I do not understand why conversion to characters are not allowed. That's what Sundar's solution is doing implicitly (but more elegantly). Here's a test of all three. See the function definitions below. > f1 <- factor(sample(letters[1:3], 1e4, replace=TRUE)) > f2 <- factor(sample(letters[3:5], 1e4, replace=TRUE)) > f3 <- factor(sample(letters[5:7],

Greetings all, I was in the process of creating a function to generate profile likelihood confidence intervals for a proportion using a binomial glm. This is a component of a larger function to generate and plot confidence intervals for proportions using the above, along with bootstrap (BCa), Wilson and Exact to visually demonstrate the variation across the methods to some folks. I had initially

Dear all, I have strange problems with paste. Actually I suggest it is a bug (I send a associated bug report for some days ago too). I have a vector ce0, a character vector m and I paste them together: > ce0 [1] "1985" "9" "2" "2" "1" "A" "1" "" "NA" "5" [11]

I've been asked by someone else whom I originally taught `` to just work with substitute() and then all will be fine'' ... But it looks to me that I've been caught here. Is it possible to make this work along the way we thought it should? 1) Inside a function, say tst() with the 'formula' and a 'data' argument, 2) call another modeling function using