similar to: help with read.table() function

hi, thanks to the feedback of some people I was able to solve my problem of reading data using the read.table function by using the file.choose function inside the method of the read.table function. Unfortunately, I encountered a new error message after I chose my file. After I unputted data = read.table(file.choose(), header = TRUE) I got an error saying: Error in scan(file = file, what =

Hi folks, I'm new to LLVM and non-expert in hardware architecture, so my question might be dumb. I'm looking for the possibility to define/call a function with multi return path, it might look like this: ``` ; Define a function with 1 alternate return path define i32 @f(i1 %i) fork 1 { br i1 %i, label %noraml, label %alternate noraml: ... setpath ret i32 42 ; take normal return

Dear R users and developpers, My question is adressed to both of you, so I choose R-help to post it. Are there any plans to jazz up the main R website : http://www.r-project.org The look it have now is the same for a long time and kind of sad compared to other statistical package's website. Of course, the comparison is not fair, since companies are paying web designers to draw lollipop

Hi, I have a couple of questions: * would it be possible to add more information on the history, for example the number of the command and a timestamp. With the number of command, one could do some stuff like in a terminal to recall a specific command : $ !45 and with the timestamp, one could imagine to ask for commands that were typed in a given interval of time. For example : R>

Hi, I'm trying to build a simple R package 'helloWorld' with just one function that prints 'hello World' on the C side. I agree that it is completely useless, but I just start mixing R and C. My C file is as follows : #include <stdio.h> void helloWorld() { printf("hello world !\n") ; } When I call it from R, here is what happens : R>

Hi all, I'm trying to superimpose a rchisq density line over a histogram with something like: hist(alnlength) lines(density(rchisq(length(alnlength), 4)),col="red") But the rchisq line won't appear anywhere, Anyone knows what I am missing here? Thanks in advance, Albert.

I'm sure I'm being stupid so flame away... R2.2.1 on Windoze (boohoo) latest updates of packages. I'm exploring a dataset (land) with three variables looking at an narrowly unbalanced two group (GROUP) ANCOVA of a randomised controlled trial analysing endpoint score (SFQ.LOCF.ENDPOINT) entering the baseline score (SFQ.BASELINE) as covariate and the following work fine: > res.same

"H. Peter Anvin" <hpa at zytor.com> writes: > On 06/03/2014 02:59 AM, Ady wrote: > >> Testing Syslinux 6.03-pre13 in a BIOS 32-bit VM, >> boot: vesa.c32 >> Undef symbol FAIL: luaL_checklstring >> Failed to load COM32 file vesa.c32 >> boot: >> >> Is there a Lua-related issue? >> >> Is vesa.c32 expecting some kind of

I seem to remember reading somewhere about some style guide regarding R the number of comment characters (#) prior to the comment meaning something. Anyone know to what I'm referring? Where? ---------------------------------------------------------- SIGSIG -- signature too long (core dumped)

Hi R users This looks a simple question Is there any difference between between rnorm(1000,0,1) and running rnorm(500,0,1) twice in terms of outcome ? TM

Dear r-list, I am trying to visually seperate the two main clusters of a dendrogram. The idea is to use: 'edgePar=list(lty=3)' for 'dend1[[1]]' and 'edgePar=list(lty=1)' for 'dend1[[2]]' I have not found a way to solve this. Any suggestions? Patrick hc <- hclust(dist(USArrests), "ave") (dend1 <- as.dendrogram(hc)) par(mfrow=c(2,2)) plot(dend1)

Dear R-help, This is my first R day. I want to ask some more beginner's questions. Q1. How can I obtain the covariance matrix for parameter estimates of a multiple regression? I checked ?lm but didn't get the information. Q2. How can I see the old graphs in the graph window? Q3. Can R plot animated graph? For example, I want to see the dynamic change of a 2D graph during a time

Does anyone have an idea of how to make a chart in R like the ones here that use a graphic: http://bigpicture.typepad.com/comments/images/slide1.gif

Folks, I was drawn to R, like many others, partly for the opportunity to draw nice, colorful graphs (occasionally ones with meaning, too :-) ). I am still quite a newbie to R. As such, I have been trying to understand the code for the graphics on the home page (the ones from the 2004 contest -- the dendrogram, the cluster plot with different coloured circles, etc.) I was wondering whether anyone

Dear All, I have a question on overlaying a filled.contour (e.g. on soil properties data) and contour (by elevation) in one graph. Both have the same z matrix dimension. I'm able to overlay both graph, but the plots dimension did not overlap well on the same plots. How can I have both filled.contour and contour on the same graph? The commands that I have written are as follows:

Bonjour, je travaille actuellement sur le logiciel R et mets en place des procédures d'analyse de données : sur des procédures de classification employant la commande dist(), je rencontre des problèmes de memoire : avec des data.frame d'environ 100 000 lignes j'obtiens le message d'erreur suivant : Error : cannot allocate vector of size 668 481 330 Ou une autre erreur souvent

Hello, Suppose I simulate 20 observations from the Poisson distribution with lambda = 4. I can summarize these values using table() and then feed that to barplot() for a graph. Problem: if there are empty categories (e.g. 0) or empty categories within the range of the data (e.g. observations for 6, 7, 9), barplot() does not include the empty cells in the x-axis of the plot. Is there any way to

Ady <ady-sf at hotmail.com> writes: >> "H. Peter Anvin" <hpa at zytor.com> writes: >> >>> I didn't realize how many modules there are in Lua, and quite frankly >>> not all of them are very well named in the sense that it is clear that >>> they are Lua-related. vesa.c32 is one of those - it is one of several >>> Lua

Hi, I'm trying to draw a 2D plot using multiple tints of red. The (simplified) setup is the following: || year | x | y || My idea is that each year is plotted with a different tint of red. Older year (lightest) -> Later year (darkest). I've managed to plot this with different scales of grays simply by doing: palette(gray(length(years):0/length(years))) before the plot and for each

I have used Splus 3.4 for UNIX and I have a C file that I compiled using "Splus COMPILE" and later called with dyn.load() and .C(). It works in Splus. I want to do the same thing in R, as in just use my .s and .c files and find the equivalent of "Splus COMPILE". I've ran into lots of problems trying to do this in Windows so far, so please help! My questions are: - Do