similar to: global variables in a function

Hi, I have a data frame with two columns: dt and tf. The dt column is datetime and the tf column is a temperature. dt tf 1 2009-06-20 00:53:00 73 2 2009-06-20 01:08:00 73 3 2009-06-20 01:44:00 72 4 2009-06-20 01:53:00 71 5 2009-06-20 02:07:00 72 ... I need a subset of the rows where the minutes are 53. The hour is immaterial. I can not find a wildcard

[Automatic forwarding from R-bugs failed. This message has been manually forwarded.] Hi all! I'm trying to add Thomas Lumley's defmacro() function Lumley T. "Programmer's Niche: Macros in {R}", R News, 2001, Vol 1, No. 3, pp 11--13, \url{http://CRAN.R-project.org/doc/Rnews/} to the gtools package (provided that Thomas gives his OK). And I've encountered an error in

Hi everybody, I want to use macro in my R code. But defmacro was not in my libraries. So I installed it : > install.packages("gtools") Installing package(s) into ?C:/Program Files/R/R-2.13.2/library? (as ?lib? is unspecified) essai de l'URL 'http://cran.cict.fr/bin/windows/contrib/2.13/gtools_2.6.2.zip' Content type 'application/zip' length 102500 bytes (100 Kb)

i am just wondering if there is an effective way to include other external codes into the program. thanks. [[alternative HTML version deleted]]

Compañeros, Una de primero de funciones pero que no soy capaz de resolver. Necesito evaluar como texto el parámetro de mi función. Ejemplo: datos.A<-rnorm(10,3) datos.B<-rnorm(100,30) datos.C<-rnorm(1000,300) datos.D<-rnorm(10000,3000) describe <- function(letra){ summary(datos.letra) } describe(B) Quiero que haga summary(datos.B) y no soy capaz. Nunca me había visto en una

Error: could not find function "hier.part" things I have tried: 1. reinstall R (lastest version, on windows XP) 2. install package "gtools" 3. include: library(gtools) require(gtools) 4. how I call this function: hier.part(c$Y, xdata, fam = "gaussian", gof = "Rsqu") 5.when I try to check what's in the package "gtools", I get (hier.part is

Hi, Maybe I have not been looking in the right spot, but, I have not been able to fine a command to automatically calculate the running cumulative sum of a vector. Is there such a command? Example of current code: > eig$values [1] 678.365651 6.769697 2.853783 > prop<-eig$values/sum(eig$values) > prop [1] 0.986012163 0.009839832 0.004148005 >

Hi, I would like to tell R what increments to put the tick marks on an axes, e.g. xlim=seq(-5,5,1). I know that will not work. xlim will only except the beginning and end of the range for the axes. Thanks, Keith jones

My macro doesn't work for bwplot. But is working elsewhere. What changes should i make to fix my macro. Thanks. The complete code sample is: library(gtools) library(lattice) pic <- defmacro(fn, plotfunc, expr={png(filename=fn); plotfunc; dev.off()}) # this one fails. pic("bw.png", {bwplot(Species ~ Sepal.Length, data=iris)}) # this one works pic("p.png",

|Hello, Given a function with several arguments, I would like to perform an lapply (or equivalent) while holding one or more arguments fixed to some common value, and I would like to do it in as elegant a fashion as possible, without resorting to wrapping a separate wrapper for the function if possible. Moreover I would also like it to work in cases where one or more arguments to the original

Hi, I have a large dataframe than I'm writing functions to explore, and to reduce cut and paste I'm trying to write a function that does a subset and then a plot. Firstly, I can write a wrapper around a plot: plotwithfits <- function(formula, data, xylabels=c('','')) { xyplot(formula, data, panel = function(x,y, ...) { panel.xyplot(x,y,

R folks, I'm curious about possible support for Lisp-style macros in R. I'm aware of the "defmacro" support for S-Plus and R discussed here: http://www.biostat.wustl.edu/archives/html/s-news/2002-10/msg00064.html but that's really just a syntactic short-cut to the run-time use of substitute() and eval(), which you could manually put into a function yourself if you cared

Hi, I've looked all over for a solution to this, but haven't had much look in specifying what I want to do with appropriate search terms. Thus I'm turning to R-help. In the process of trying to write a simple function to rename individual column names in a data frame, I ran into the following problem: When I rename the columns within my function, I can't seem to get it to

Hi y'all, I wrote two functions; 1) sparsely samples a point pattern and calculates the Clark Evans R value and Z score, 2) calls the first function multiple times using a for loop and generates a histogram. I would like to know if there is a more efficient way of calling the first function other than using the for loop. Any ideas?

In Windows, Tcl/Tk programs running under the tcltk package can update too frequently: for exmaple, we might go through a long sequence of operations to construct a complex display, and in Windows each addition will be shown separately. To work around this, I've added a function "tclServiceMode" which serves as an R interface to the "Tcl_SetServiceMode" function in the

Hi Can someone help me with this? How can I apply a function to a list of variables. something like this listvar=list("Monday","Tuesday","Wednesday") func=function(x){x[which(x<=10)]=NA} lapply(listvar, func) were Monday=[213,56,345,33,34,678,444] Tuesday=[213,56,345,33,34,678,444] ... in my case I have a neverending list of vectors. Thanks!

Hello dear R people! Several times it occurred to me that a function that uses a variable name as a parameter would be helpful, but I did not find out how to write such a function. I have experience in several programming language, but I did not come across a helpful trick... What I want to have is... a <- 12 # starting value add <- function(variable,increment) { variable <-

On Wed, 2008-03-26 at 23:48 +0100, Óscar Fuentes wrote: > "Jonathan S. Shapiro" <shap at eros-os.com> writes: > My front-end is very similar to yours in the feature of the multiple > instantiations on demand, etc. Oscar: after you have a chance to read my recent reply to Gordon, would you be kind enough to let me know whether you still believe the situations are similar.

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Hi, Is there any way to estimate a DEPENDENT variable through a GLM/LM model? Suppose I have the linear model: y=a0+a1*x1+a2*x2 (a0=1, a1=0.6, a2=0.8, x1~N(1,1), x2~N(0,1)). The alphas and the auxiliary variables are given and I have to estimate y. The point is if I estimate it, let¹s say algebraically, I get high variances that do not decrease as sample sizes increases... Is the any other way