similar to: R + Linux

I want to take the first row of each unique ID value from a data frame. For instance > ddTable <- data.frame(Id=c(1,1,2,2),name=c("Paul","Joe","Bob","Larry")) I want a dataset that is Id Name 1 Paul 2 Bob > unique(ddTable) Will give me all 4 rows, and > unique(ddTable$Id) Will give me c(1,2), but not accompanied by the name column.

There is a bug in the command-line handling of 0.65.0 under Unix that may affect some users of R-inferior-mode under ESS, as that sets --no-readline as the first argument, and any arguments after that are ignored. The fix is simple: delete line 448 of src/unix/sys-common.c (`break;') and re-compile. The most used arguments are (I'm told) --vsize and --nsize. I find it more convenient to

Dear list: since it took me a little while to figure out how to make use of naresid, I thought that the below R code might be useful as an example on the help page. Regards, Markus # generate some data x1 <- runif(20) y <- 10 + 5*x1 + rnorm(20) summary(lm.0 <- lm(y ~ x1)) # append some NA's to y y <- c(y, rep(NA, 5)) # generate some further x1s x1 <- c(x1, runif(5)) #

Dear list: since it took me a little while to figure out how to make use of naresid, I thought that the below R code might be useful as an example on the help page. Regards, Markus # generate some data x1 <- runif(20) y <- 10 + 5*x1 + rnorm(20) summary(lm.0 <- lm(y ~ x1)) # append some NA's to y y <- c(y, rep(NA, 5)) # generate some further x1s x1 <- c(x1, runif(5)) #

Hi, maybe my question is not typical. I want to make R table-kind output to be readable immediately in Latex but I am struggling with symbol '\' needed for instance in '\hline'. For example when 'Table' is a matrix class object: cat("&",Table[1,1], "&",Table[1,2], "\n");flush.console() cat("\hline \n");flush.console()

Hello -- I am plotting multiple densities in a single plot. If the max of a new density (added with 'lines()') is sufficiently larger than that of the one first plotted (using 'plot()'), the new density is cut or trucated off of the figure. Is there a simple way of adjusting the yscale after all lines have been added? Or is the procedure to be used to first estimate all

I am having trouble using Jim Lindsey's libraries because of unresolved symbols. I am currently using R 0.65.0, but had this problem in earlier releases as well. I have a RedHat 6.0 Linux on i386 and use egcs (upgraded to that distributed with rawhide, after first failures with the libraries): egcs-g77-1.1.2-19 egcs-1.1.2-19 Installation of the libraries works but on loading >

Hello: I am tried to install the RODBC package in debian etch. At the end of the installation it appears errors: ********************************************** * Installing *source* package 'RODBC' ... checking for gcc... gcc -std=gnu99 checking for C compiler default output file name... a.out checking whether the C compiler works... yes checking whether we are cross compiling... no

Dear R-users, I intend to do a spatial analysis on the genetic structuring within a population. For this I had thought to prepare a kernel density estimate map showing the spatial distribution of individuals, while incorporating the genetic distances among individuals. I have a dataset of locations of N unique individuals (XY-coordinates) and an NxN matrix with the genetic distances given as a

This smells like a bug to me. The error is triggered by the line: variables <- eval(predvars, data, env) inside model.frame.default(). At that point, na.action has not been applied, so poly() ended being called on data that still contains missing values. The qr() that issued the error is for generating the orthogonal basis when evaluating poly(), not for fitting the linear model itself.

This smells like a bug to me. The error is triggered by the line: variables <- eval(predvars, data, env) inside model.frame.default(). At that point, na.action has not been applied, so poly() ended being called on data that still contains missing values. The qr() that issued the error is for generating the orthogonal basis when evaluating poly(), not for fitting the linear model itself.

The incorrect result incurs when the file path contains Chinese character. It seems that dirname/basename action on unit of byte instead of char, so the result in the following example is half of what is expected. > g<-"d:\\$BG!2L4^M-CfJ8(B\\$BG!2L4^M-CfJ8(B.txt" > dirname(g) [1] "d:/$BG!2L4^(B" > basename(g) [1] "$BG!2L4^M-(B" -- HUANG Ronggui,

What I want to do is: 1, creat a text box, insert text into that box. 2, select chunk of of the text by mouse, and link it to a lable. so I would like a way to get that chunk of text. Can I do such job with tcltk? Any relavant tutorial materials? Thanks -- HUANG Ronggui Bachelor of Social Work, Fudan University, China Master of sociology, Fudan University, China Ph.D. Student , CityU of

Hey guys, I'm just here to ask: Can I install Ubuntu using Wubi and use Wine on my C drive? Cuz it says in the Wiki FAQ to NOT "configure Wine to point to your actual Windows C:\ drive" http://wiki.winehq.org/FAQ#head-497f1a295d53dd3444f211df2b13312c7767afa2 But I only have one hard drive and that's the C drive! If I partition using the Install CD will it create a seperate D

Dear Debian R users, This is more of an apt question rather than R. I have a testing Debian system, but would like to use the unstable packages for R, *without* using the -t flag in apt-get. I think this is done by using a 'pin' rule in /etc/apt/apt.conf, but don't understand how this should be done. Can somebody provide an example please? Cheers, -- Seb

I would like to fit a Pareto Distribution and I am using the following codes. I thought the fitted (fit1) should be the fitted value for the data, is it correct? As the result of the "fitted" turns out to be a single value for all. fit=vglm(ycf1 ~ 1, pareto1(location=alpha), trace=TRUE, crit="c") fitted(fit) The result is fitted(fit) [,1] [1,] 0.07752694

Hi, I'm using the ineq package to calculate some concentration measures (Gini, Herfindal, ...) and I was wondering if there's around also a function to calculate standard error on these measures. If not, is anybody aware of where I can find a reference on this point? Thanks. -- ======================================================== Angelo Secchi PGP Key ID:EA280337

Dear helpeRs, I would like to specify a newline command in R and pass it to latex via Sweave such that it corresponds to latex' \\ command. But that doesn't seem to be possible. If I Sweave the \n character, it just makes a new line in latex but not the \\ command. Is there a way such that the following code would result in latex in blablabla \\ blablabla on different line

Dear all, I am using poly() in lm() in the following form. 1> DelsDPWOS.lm3 <- lm(DelsPDWOS[,1] ~ poly(DelsPDWOS[,4],3)) 2> DelsDPWOS.I.lm3 <- lm(DelsPDWOS[,1] ~ poly(I(DelsPDWOS[,4]),3)) 3> DelsDPWOS.2.lm3 <- lm(DelsPDWOS[,1]~DelsPDWOS[,4]+I(DelsPDWOS[,4]^2)+I(DelsPDWOS[,4]^3)) 1 and 2 lead to identical but wrong results. 3 is correct. Surprisingly (to me) the residuals

I have used library Design (Frank Harrell) in the past but when I tried this week, I get : > library(Design) Error in eval(expr, envir, enclos) : Object "formula.default" not found I updated to the latest version of the library (2.0) with the same result. My version of R may not be the latest but it's recent (and I probably changed since using Design for the last time) :