similar to: getting attributes of graphics objects

Sorry for the stupid question, but is there the factorial function in R? I tried to find it using help.search('factorial') but got nothing appropriate. Many thanks, -Serge

Hi there; I have the following problem --- Xemacs cannot correctly parse a path to file when I load it. I have the following error, reported by Xemacs: from ess-parse-errors: Error in file(file, "r") : cannot open file `u:US-mortalityjuttalexible.r While the correct file path should be: u:\US-mortality\jutta\flexible.r Any ideas? Many thanks for your help. -Serge

I have the following problem. I have an automatically generated named list with "stringified" names: a <- list("A"=..., "B"=..., "C"=..., ) then I want to refer to the elements of the list, stored as an vector of names: nn <- c("A", "B", "C"), so that I could get list elements like a$nn[1], a$nn[2], etc. Obviously it

I don't know of a good tutorial, but I find that looking at ?par is usually good for answering most graphing questions. To resize axes, look at xlim and ylim under ?par. As for changing the axes, you can suppress the axes using e.g., for the x-axis xaxt="n" in your plotting function call, and then add your own axis using the axis() function (see ?axis). HTH, Jim James W.

Hi there, I don't have much experience with fitting at all and I'd like to get some advice how to use the "weights"-argument with nls correctly. I have created some data with a sigmoidal curve shape. Each y-Value was generated by the mean of three values. A standard deviation was calculated too. Now, I'd like to weight the data points respective to its standard

hi all i have a function that uses two inputs, say xdata and ydata. An example is the following, simple1<-function(xdata,ydata) { ofit<-lm(ydata~xdata) list(ofit) } say i use arbitray number for xdata and ydata such that D = x1 x2 y 1 1 10 2 6 6 3 10 7 x<-D[,1:2] and y<-D[,3] if one uses these inputs and rund the program we get the following: >simple(xdata=x,ydata=y)

>>>>> Serge Bibauw <sbibauw at gmail.com> >>>>> on Mon, 15 May 2017 11:59:32 -0400 writes: > Hi, > Just reporting a small bug? not really a big deal, but I don?t think that is intended: droplevels()?also drops all object?s attributes. Yes. The help page for droplevels (or the simple definition of 'droplevels.factor') clearly

Hi R-experts, I want to use the jackknife function from the bootstrap package onto a linear model. I can't figure out how to do that. The manual says the following: # To jackknife functions of more complex data structures, # write theta so that its argument x # is the set of observation numbers # and simply pass as data to jackknife the vector 1,2,..n. # For example, to jackknife #

Hola, buenas tardes estoy intentando hacer un bootstrap de un modelo, pero me da el siguiente error: "Error in FUN(newX[, i], ...) : unused argument(s) (list(age = c(33, 47, 49, 56, 60, 64, 64, 66, 68, 69, 71, 71, 72, 73, 74, 75, 75, 76, 78, 81, 83, 83, 36, 43, 46, 47, 49, 49, 51, 51, 52, 52, 53, 54, 54, 54, 55, 56, 56, 57, 57, 58, 58, 58, 58, 59, 59, 60, 61, 62, 63, 64, 65, 65, 66, 66,

Hi, I am parsing a C++ file using cindex.py and want to get the template parameters to a specific node. However, the tree seems to be different depending on if the template parameter is a struct/class or a simple type such as int or float. In the first case the template type is appended as a child to the VAR_DECL node (the TYPE_REF node seen in the example below), but this is not the case with

Hi all, I try to write a simple function in a script. The script is as follows yo<-function(Xdata) { n<-length(Xdata[,1]) Lgm<-nls(formula=LgmFormula, data=Xdata, start=list(a=1500,b=0.1),weights=Xdata$Qe) return(Lgm) } After the execution of the script, when I call the function yo on data called NC60.DATA I get an error. #yo(NC60.DATA) Erreur dans eval(expr, envir, enclos)

Hi there, I am trying to register asterisk to a Lucent's MVAM GK. It is not registering to the GK with both h323 channels(chan_h323 and oh323). The problem is that if I set the GK(in asterisk) through the GK's IP, the GK answers with GCF without it's GK ID, and after that it does not answer to the RRQ, because the RRQ message has no GK ID. And when I set the GK through

Why do we get Partial correlation values greater than 1? I have used the default function pcor.mat :-- I have manipulated the default pcor.mat function a bit so ignore tha variables corr_type,element1_in_no,element2_in_no,P.Please ignore the ?pairwise? section and have a look at athe ?listwise ? part i.e else part. *pcor.mat <-

I have a set of data in the form x1, y1, z1 x1, y2, z2 ... x1, yN, zN x2, y1, z(N+1) x2, y2, z(N+2) ... x2, yN, z(2N) ...and so on... xM, yN, val(M*N) I have been trying to figure out how to get R to use this data in a persp plot. So far the only thing that I can figure out to do is to break the data file into three different files. The first file contains the x-coordinate data: x1 x2

Hi, I'm having a problem converting a Matlab program into R. The R code works almost all the time, but about 4% of the time R's optim function gets stuck on a local minimum whereas matlab's fminsearch function does not (or at least fminsearch finds a better minimum than optim). My understanding is that both functions default to Nelder-Mead optimization, but what's different about

Hi everyone, According to the current design an intrinsic call that depends on current floating point environment (for example, rounding mode) or change it (for example by raising FP exceptions) is represented by constrained intrinsics. The latter have attached metadata that provide info about current FP environment and have attribute `IntrInaccessibleMemOnly` that helps keeping order of

Hi, I have been using R for over a year now. I am a very happy user. Thank you for making this happen. This is my first question to this list. I trying to add some functions to quantmod that would enable me to draw arbitrary lines and text and make sure they are redrawn. I have created following function: require(quantmod) # Add horizontal line to graph produced by quantmod::chart_Series()

On 20/10/12 03:15, Michael Spencer wrote: > On Fri, Oct 19, 2012 at 2:55 AM, r4start <r4start at gmail.com> wrote: >> Hi all. >> >> While compiling next code >> @A = weak unnamed_addr constant { i32, i32, i32 } { i32 0, i32 0, i32 0 }, >> section ".data" >> was discovered that llc ignores weak linkage if we emit it in COFF object. >>

I get this error while computing partial correlation. *Error in solve.default(Szz) : system is computationally singular: reciprocal condition number = 4.90109e-18* Why is it?Can anyone give me some idea ,how do i get rid it it? This is the function i use for calculating partial correlation. pcor.mat <- function(x,y,z,method="p",na.rm=T){ x <- c(x) y <- c(y)

Thanks for reading this email?I found a problem while using Glusterfs? First?I created a Distributed Dispersed volume on three nodes?and Limit the volume capacity use quota command?this volume is auto mounted on /run/gluster/VOLUME_NAME. This volume can be read and written normally? After, I manually mounted the volume in another path to provide data storage of SAMBA and ISCSI services, after