similar to: Scoped options setting?

I find myself wanting to plot three graphs side by side 'as if' they were panels -- that is, with the same y-axis limits, no space between the graphs, and precise vertical alignment of the plot areas. However, I don't want strip titles; I want each graph to have its own x-axis label, on the bottom of the plot. The best way I have so far found to do this is to fake up a data frame that

On Mon, Mar 16, 2009 at 11:25 AM, Chris Lattner <clattner at apple.com> wrote: > Hi Zack, welcome! I regret to say I'm disappearing again. I was only looking at LLVM for a class project which is now done with, and I'm not really interested in compiler development for the fun of it anymore. I do want to respond to some of the things that you (and others) said... > On Mar 13,

https://bugs.freedesktop.org/show_bug.cgi?id=32855 Summary: Incorrect image stretching with Render in RepeatPad mode, NV50 Product: xorg Version: git Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

https://bugs.freedesktop.org/show_bug.cgi?id=91705 Bug ID: 91705 Summary: [NVE7] GPU crash (read fault) on boot w/ DMI+HDMI outputs Product: xorg Version: unspecified Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: normal Priority: medium Component:

I'm trying to persuade llvm (svn trunk) to build in a mode where it *runs on* amd64 but *generates code* for alpha, exclusively. (Well, technically, generate code for my experimental architecture simulator that happens to be based on alpha.) I have been unable to find any combination of configure switches that makes this happen. I should probably underline that I am _not_ trying to

On Fri, Mar 13, 2009 at 6:09 PM, Bill Wendling <isanbard at gmail.com> wrote: > On Fri, Mar 13, 2009 at 4:41 PM, Zack Weinberg <zackw at panix.com> wrote: >> I'm trying to persuade llvm (svn trunk) to build in a mode where it >> *runs on* amd64 but *generates code* for alpha, exclusively. ... >>  - The "natural" way to do that (by which I mean

is it possible to set an option inside a function ((I want to set na.action = na.fail) and have the previous state restored if there is an error so that the function doesn't change the option behind the user's back? Sorry if this has been answered before, but this subject is hard to Google. -- Charles Geyer Professor, School of Statistics University of Minnesota charlie at stat.umn.edu

Shouldn't the parser complain about unfinished strings in files? It doesn't and will tack on a newline if there isn't one there. > withOption <- function(optionList, expr) { + oldOption <- options(optionList) + on.exit(options(oldOption)) + expr + } > cat(file=tf<-tempfile(), "\"string without closing quote\n") > p <-

Hi all, I''m thinking of useing sub-domains as account keys, something I''ve played with previously. I have accounts and users, fairly standard, except that users can belong to many accounts, and accounts can have many users. So I figure I need to have an area on the main domain, that allows users to view their account memberships and things. Sort of like a dashboard for each

The Linux implementation of TCP sockets has a bug which causes shutdown(sock, SHUT_RD) to fail spuriously (ENOTCONN) if the write side of the socket has already been shut down. If you are using SSH port forwarding to tunnel HTTP through a firewall, nchan.c will tickle this bug once for every HTTP exchange. You will therefore get lots of useless, annoying error messages: channel 2:

This is an expanded version of the question I tried to ask last night - I thought I had it this morning, but it's still not working and I just do not understand what is going wrong. What I am trying to do is write a wrapper for lattice xyplot() that passes a whole bunch of its secondary arguments, so that I can produce similarly formatted graphs for several different data sets. This is what

Given > D = data.frame(o=gl(2,1,4)) this works as I expected: > evalq(o, D) [1] 1 2 1 2 Levels: 1 2 but neither of these does: > f <- function(x, dat) evalq(x, dat) > f(o, D) Error in eval(expr, envir, enclos) : object "o" not found > g <- function(x, dat) eval(x, dat) > g(o, D) Error in eval(x, dat) : object "o" not found What am I doing wrong?

As you may not be surprised to hear, no sooner did I post the previous message than I realized I had a really dumb mistake. I've now gotten a bit farther but am still stuck. New code: graph <- function (x, data, groups, xlab) { pg <- function(x, y, group.number, ...) fnord body(pg) <- substitute({ panel.xyplot(x, y, ..., group.number=group.number) panel.text(2,

Is there a hook that allows a graphics device to apply transformations to plotmath expressions *before* they are rendered? If there isn't one yet, would it be feasible to add one? The motivation for this hook is graphic devices that feed into something that already has support for math layout, such as the tikzDevice package (which has TeX downstream). Given text(x, y,

I have noticed that in R 2.5.0, no method of textual output will print a "double" mode quantity with more than 15 digits after the decimal point. From the help page (?print.default) it appears that this is intentional, since digits after the fifteenth may be uncertain. However, fifteen digits after the decimal point are not enough to represent all the values that an IEEE-double can

Please guide me through to resolve the error message that I get this is what i have done. >x1<- rnorm(100,2,1) >x1fitbeta<-fitdistr(x1,"beta") Error in fitdistr(x1, "beta") : 'start' must be a named list Yes, I do understand that sometime for the distribution to converge to the given set of data, it requires initial parameters of the distribution, to

Hi, I'm trying fitdistr but I'm getting some errors > fitdistr(rnorm(100),"Normal") Error in fitdistr(rnorm(100), "Normal") : 'start' must be a named list > fitdistr(rnorm(100),"Normal",start=list(mean=0,sd=1)) Error in fitdistr(rnorm(100), "Normal", start = list(mean = 0, sd = 1)) : supplying pars for the Normal is not

Hi, R users: I want to fit my data into a normal distribution by using the command "fitdistr" in "MASS". I changed my data class from "ts" to "numeric" by >class(mydata)="numeric" but after using "fitdistr", I got the result below >fitdistr(mydata,"normal") mean sd NA NA (NA) (NA) the help doc of

Hi R lovers! I'd like to know how to use the parameter 'start' in the function fitdistr() obviously I have to provide the initial value of the parameter to optimize except in the case of a certain set of given distribution Indeed according to the help file for fitdistr " For the following named distributions, reasonable starting values will be computed if `start'

Hi, I want to estimate parameters of weibull distribution. For this, I am using fitdistr() function in MASS package.But when I give fitdistr(c,"weibull") I get a Error as follows:- Error in optim(x = c(4L, 41L, 20L, 6L, 12L, 6L, 7L, 13L, 2L, 8L, 22L, : non-finite value supplied by optim Any help or suggestions are most welcomed -- View this message in context: