similar to: help

> Hi, > I recently downloaded R on window and running Rgui on NT. I have never use > R before and trying to learn R by following An introduction to R. > I generated a table of 900x5 in excel and saved as tab delimited txt file. > I then do read.table but I keeping getting the following message > > data <- read.table("ML4mm25.txt", header=T, sep=" ")

Dear R Users: Here is a nice simple question: On Version 1.0.0, where is the file that has the paper size for plots? UNIX Dec Alpha please? (Really dumb. I know.) Sincerely, Erin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

some of you might be interested. i just uploaded the first release of my r-excel interface package to CRAN. it is in contributed extensions nonstandard extensions erich neuwirth -- Erich Neuwirth, Computer Supported Didactics Working Group Visit our SunSITE at http://sunsite.univie.ac.at Phone: +43-1-4277-38624 Fax: +43-1-4277-9386

some of you might be interested. i just uploaded the first release of my r-excel interface package to CRAN. it is in contributed extensions nonstandard extensions erich neuwirth -- Erich Neuwirth, Computer Supported Didactics Working Group Visit our SunSITE at http://sunsite.univie.ac.at Phone: +43-1-4277-38624 Fax: +43-1-4277-9386

The documentation says, "pmax and pmin take several vectors as arguments and return a single vector giving the parallel maxima (or minima) of the vectors." I discovered that, if you use a matrix or array instead of a vector, pmax returns a matrix or array, respectively. This makes pmax and pmin much more useful, and should not be left to people to discover on their own! For example:

>>>>> Anupam Tyagi >>>>> on Tue, 9 Jul 2024 16:16:43 +0530 writes: > How can I do automatic knot selection while fitting piecewise linear > splines to two variables x and y? Which package to use to do it simply? I > also want to visualize the splines (and the scatter plot) with a graph. > Anupam NB: linear splines, i.e. piecewise

I am using RedHat 6.1, the R1.1.0 binary download, and an HP Deskjet 692C. For some time I have been trying unsuccessfully to integrate R postscript graphics in LaTex. I consulted the Bug Tracking System. In the preamble of the LaTex file (test.tex) I have placed the line \usepackage{graphicx,color} and I use \begin{figure}[htbp] \begin{center} \includegraphics[height=4in]{graphic1.ps}

Hi there, I'm using R1.0.1 Windows 98 version. Sometimes, ok very often, we need to analyse data that will generate a lot of outputs. For example, the function "aov()" will print out lots of outputs on screen. I am just wondering, if it is possible to make these outputs shown page by page instead of throwing everything on screen and I have to scroll back up. I know in UNIX this

Hello, I'm trying to override pmin and pmax for my own matrix. These two functions have ... as an argument. I tried to override them as follows: setMethod("pmax", class_name, function(x, ..., na.rm) { ... }) I use this way to override primitive functions such as min/max and it works fine. But it doesn't work for pmin and pmax. I guess because they are regular functions? How

How can I do automatic knot selection while fitting piecewise linear splines to two variables x and y? Which package to use to do it simply? I also want to visualize the splines (and the scatter plot) with a graph. Anupam [[alternative HTML version deleted]]

I see that base::pmax() does not support long vectors. Is R-devel interested in reports like this; ie. is there a goal of full support for long vectors in "basic" functions, something I at least would greatly appreciate? MRE: > pmax(rep(1L, 3*10^9), 0) Error in pmax(rep(1L, 3 * 10^9), 0) : long vectors not supported yet: ../../../R-devel-src/src/include/Rinlinedfuns.h:522 Best,

Hi, Please consider the following : x = c(1,3,NA,5) y = c(2,NA,4,1) min(x,y,na.rm=TRUE) # ok [1] 1 max(x,y,na.rm=TRUE) # ok [1] 5 sum(x,y,na.rm=TRUE) # ok [1] 16 pmin(x,y,na.rm=TRUE) # ok [1] 1 3 4 1 pmax(x,y,na.rm=TRUE) # ok [1] 2 3 4 5 psum(x,y,na.rm=TRUE) [1] 3 3 4 6 # expected result Error: could not find function "psum" # actual result

dear all, I apologize for my delay in replying you. Here my contribution, maybe just for completeness: Similar to "earth", "segmented" also fits piecewise linear relationships with the number of breakpoints being selected by the AIC or BIC (recommended). #code (example and code from Martin Maechler previous email) library(segmented) o<-selgmented(y, ~x, Kmax=20,

Kasper, If you're not interested or dont have time to create said patch yourself let me know and i can do it. Best, ~G On Mon, Jan 21, 2019, 11:36 AM Duncan Murdoch <murdoch.duncan at gmail.com wrote: > On 21/01/2019 12:35 p.m., Kasper Daniel Hansen wrote: > > I see that base::pmax() does not support long vectors. > > > > Is R-devel interested in reports like this;

Dear all, Can anyone please shed some light onto how to do this? This will give me all "intensity" columsn in my data frame: intensityindeces <- grep("^Intensity",names(dataframe),value=TRUE) This will give me the maximum intensity for the first row: intensityone <- max(dataframe[1,intensityindeces]) What I'm now looking for is how to dfo this for the whole data

Dear R user, I have written a function which returns max,min and variation of a power (see below) Power is a given matrix(1,n) I call the function >Variation<-VAR(p,(n-deltat)) Now the problem is when I want plot(Results[1],Results[2]). Not possible! I become the following error (in english it means: Error in as.double.default(x) :Object cannot be transformed in double) >

Hi everyone, I am wondering what¹s stopping the LLVM optimizer (opt -O3) from eliminating the apparently useless « icmp sgt » instruction in the following piece of LLVM IR. > ; ModuleID = 'lambda-opt.bc' > target datalayout = "e-m:o-i64:64-f80:128-n8:16:32:64-S128" > target triple = "x86_64-apple-macosx10.10.0" > > ; Function

Here's a version that doesn't try to do block deletion on it's own. If you use -adce then -simplifycfg, you get what you want. It passes all tests except one, which is that we delete an invoke of a pure function, IE Transforms/ADCE/dce_pure_invoke.ll - I'm not sure why that's bad. The reason we delete it is because it returns false to I.mayHaveSideEffects(), and in particular,

I am trying to simulate draws from a multivariate normal using mvrnorm, and am getting the following error message: Error in mu + eS$vectors %*% diag(sqrt(pmax(ev, 0)), p) %*% t(X) : non-conformable arrays I do not understand why I am getting this message, since the vector of means I am giving to the function is 13 by 1 and the variance matrix I am giving to the function is 13

Hello I'm having trouble figuring out how to use the output of "segmented()" with a new set of predictor values. Using the example of the help file: ??set.seed(12) xx<-1:100 zz<-runif(100) yy<-2+1.5*pmax(xx-35,0)-1.5*pmax(xx-70,0)+15*pmax(zz-.5,0)+rnorm(100,0,2) dati<-data.frame(x=xx,y=yy,z=zz) out.lm<-lm(y~x,data=dati) o<-## S3