similar to: No space left on device on not full filesystem

I wish it didn't have to depend on the name '.local'. Back when I wrote a lot of S4 methods I avoided the auto-generated .local and named the local function something that made sense so that is was easier for a user to track down the source of an error. E.g., define the generic QQQ with numeric and integer methods: setGeneric("QQQ", function(x, ...)NULL)

The example below creates parallel time-series plots of three different y variables conditioned by a dichotomous factor. In the graphical layout, ? Each y variable inhabits its own row and is plotted on its own distinct scale. ? Each level of the factor has its own column, but within each row the scale is held constant across columns. ? The panels fit tightly (as they do

Would we really need the special class or would simply checking the formals of the method against those of the generic be simple and fast enough? On Thu, Jan 29, 2015 at 9:41 AM, John Chambers <jmc at r-project.org> wrote: > I wouldn't want to add more to the current approach; if someone would like > to devote some time, the much preferable idea IMO would be to replace the >

Suppose I have the following function myFun <- function(formula, data){ f <- formula(formula) dat <- model.frame(f, data) dat } Applying it with this sample data yields a new dataframe: qqq <- data.frame(grade = c(3, NA, 3,4,5,5,4,3), score = rnorm(8), idVar = c(1:8)) dat <- myFun(score ~ grade, qqq) However, what I would like is for the resulting dataframe (dat) to include

On Jan 28, 2015, at 6:37 PM, Michael Lawrence <lawrence.michael at gene.com> wrote: > At this point I would just due: > > formals(body(method)[[2L]]) > > At some point we need to figure out what to do with this .local() confusion. Agreed, definitely. The current hack is to avoid re-matching arguments on method dispatch, so a fix would need to be fairly deep in the

I was on vacation the last week and wrote some code to run a 500-day correlation between the Nasdaq tracking stock (QQQ) and 191 currency pairs for 500 days. The initial run took 9 hours(!) and I'd like to make it faster. So, I'm including my code below, in hopes that somebody will be able to figure out how to make it faster, either through parallelisation, or by making changes. I've

I'm sure this question comes up waaaay to often in this list, and I apologize if I've missed the obvious answer. I did spend the last two hours looking for a solution and trying various things, but to no avail. I'm trying to run a command-line app (text-only). It's a cross-compiler tool for which we only have Windows binaries. The app works fine, but when I run it (i.e. to

# The result I am after is the result after a substitution in an expression, such as substitute(expression(a+b+c), list(a=1)) expression(1 + b + c) # However, the way I want to do it is for a an expression "stored as a variable" as (expr <- expression(a+b+c)) expression(a + b + c) # a) The following does not work (expr2 <- substitute(expr, list(a=1))) expr # b) - whereas this

+cfe-dev as the discussion is now biased toward C standard. I'm not sure what problem you see here. In default mode, i.e. > when there is no "#pragma STDC FENV_ACCESS on" in effect, > then the compiler can always assume that the default rounding > mode is in effect. Well, if #pragma STDC FENV_ACCESS on is not in effect, that means > that the user has promised that at

Here is the function that makes the data.frames in the list: funweek <- function(df) if (length(df$elapsed_time) > 5) { res = fitdist(df$elapsed_time,"exp") year = df$sale_year[1] sample = df$sale_week[1] mid = df$m_id[1] estimate = res$estimate sd = res$sd samplesize = res$n loglik = res$loglik aic = res$aic bic = res$bic chisq =

I am new to R so I apologize if my question is trivial. I have not been able to figure out whether what I want to do is even possible. I have a data frame of stock ticker symbols which I store into R space from a txt file as follows: tickers <- read.csv("stocks.txt", header=FALSE, sep=",") tickers <- tickers[1] / the tickers are stored in the first column >

Hello, I have a very basic sftp client which is able to successfully intialize the transport layer, password authenticate, and start the sftp subsystem. Now, I am stuck with an issue when I try to retrieve the directory listing. Sometimes I get a transport packet in which the sftp packet length field registers a length greater than the enclosing transport packet. In othet words sometimes I get a

I would appreciate any ideas on how to correct the problem that we are having that is outlined below. Thanks for your help. I have been running samba for a long time. Currently we are having problems with it filling up /var/log/messages with Feb 7 10:45:02 servername smbd[2157]: Can't become connected user! Feb 7 10:45:02 servername smbd[2158]: [2008/02/07 10:45:02, 0] smbd/

Hi, What is the magic juju that I have to put in /etc/sysconfig/autofs to get autofs to default to using NFSv4, rather than NFSv3, for mounting file systems? I don't want to place these flags into the automount maps themselves because we have a varied network with Sun, CentOS, RedHat and Macintosh systems, and the flags that have to get added to automount maps (which we distribute centrally

List, A recent discussion over on XiphWiki is trying to decide if OggPCM should support only little-endianness or the usual combo of big and little. It started with the following statement by an user (Qqq): "Portable players are usually ARM, which is usually little-endian. The Macintosh is now little-endian. Obviously the PC is little-endian. Clearly there is a winner. It's long past

Good Morning: I have attached a text file with one hundred thirty six observations. I would like to create a qq plot with the following features: 1. Observed values on the y-axis. 2. Normal approximation line on the plot. 3. X-axis with vertical reference lines at the following percentiles of the data: 1, 10, 20, 50, 80, 90 and 99. 4. Data appearing on the plot as distinct points. I assume that

I have done a cluster analysis doing: 1-clusNorth <-hclust(dist(Artorious)^2, method="ward") 2-clusNorth$labels <-Artorious$Name ## to show the case names and not numbers 3-dend1 <- as.dendrogram(clusNorth) 4-plot(dend1) My Dendrogram is now showing the names of my cases in the dataframe on the x axis 1 OMNICELL INC COM 2 GETTY IMAGES INC

I am just starting to learn Sweave (really neat tool). I am pretty early in the learning curve (I had to think a moment ago whether a # or % was the appropriate comment character). I have successfully incorporated simple graphics and outputs, but am having trouble getting a latex (xtable) table to function properly. Latex is seemingly treating the xtable code as input or verbatim text. That

I've made a home DVD from my last holidays. Now i want to pass this DVD to Theora , to show in my Linux Box. I copy all .vob files in my HD. I see the program ffmpeg2theora that can convert a lot files into Theora , but i don't know how to pass this .vob files to ffmpeg2theora. How to use ffmpeg2theora with DVD Source? __________________________________________________ Do You Yahoo!?

I try to test Theora in Windows , but i only find one Theora encoder , ffmpeg2theora. I don't like because is command line , and i want to encode from a visual encoder. I also try ffdshow but i don't know how to encode video and audio to get Theora ... With ffdshow i get a worst 4 FPS encoding ... Would be a good idea that xiph contact to creators of VirtualDubMod