similar to: Expected behaviour of is.unsorted?

Hi, In the man page for is.unsorted(): Value: A length-one logical value. All objects of length 0 or 1 are sorted: the result will be ?NA? for objects of length 2 or more except for atomic vectors and objects with a class (where the ?>=? or ?>? method is used to compare ?x[i]? with ?x[i-1]? for ?i? in ?2:length(x)?). This contains many incorrect

I believe the performance of isUnsorted() in sort.c could be improved by calling REAL() once (outside of the for loop), rather than calling it twice inside the loop. As an aside, it is implemented in the faster way in doSort() (sort.c line 401). The example below shows the performance improvement for a vectors of double of moving REAL() outside the for loop. # example as implemented in

Hi, Couldn't is.unsorted() bail out immediately here (after comparing the first 2 elements): > x <- 20000000:1 > system.time(is.unsorted(x), gcFirst=TRUE) user system elapsed 0.084 0.040 0.124 > x <- 200000000:1 > system.time(is.unsorted(x), gcFirst=TRUE) user system elapsed 0.772 0.440 1.214 Thanks! H.

x <- rnorm(1e6); y <- log(x); # or logb(x) or log1p(x) w <- warnings(); print(object.size(w)); ## [1] 480 str(w); $ NaNs produced: language log(x) - attr(*, "dots")= list() - attr(*, "class")= chr "warnings" y <- log2(x); # or log10(x) w <- warnings(); print(object.size(w)); ## [1] 8000536 str(w); ## List of 1 ## $ NaNs produced: language

I've just realized that it could be handy to have a 'decreasing' argument in 'is.unsorted'. And I'm cheekily hoping someone else will implement it. It is easy enough to work around (with 'rev'), but would be less hassle with an argument. The case I have in mind uses 'is.unsorted' in 'stopifnot'. Pat -- Patrick Burns pburns at pburns.seanet.com

https://bugzilla.samba.org/show_bug.cgi?id=7861 Summary: documentation: files-frombehaves badly on unsorted input Product: rsync Version: 3.0.5 Platform: x64 OS/Version: Linux Status: NEW Severity: minor Priority: P3 Component: core AssignedTo: wayned at samba.org ReportedBy: rlpowell at

I would like to incorporate multiple summary plots from the rms package into a single device and to control the titles, and also to open a new device when I reach a specified number of plots. Currently I am only getting a single "plot(summary(" graph in the upper left- hand corner of each successive device. However, in the rms documention I see instances of a loop being used with

https://bugs.freedesktop.org/show_bug.cgi?id=105940 Bug ID: 105940 Summary: Display freeze caused by nouveau Product: xorg Version: 7.7 (2012.06) Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau Assignee: nouveau

Hi all, This must be such a beginner''s problem, but I can''t figure it out. I''m pulling two integers out of a database, and i want to divide one value with the other, but i keep getting an error about operating on strings. Here''s the code - low_freq = unsorted.last.freq high_freq = unsorted.first.freq divider = high_freq / low_freq In my view, if i display

Dear friends, My dataset is like the following: x y mcpvalue 0.4603578 0.6247629 1.001 0.4603715 0.6247788 1.001 0.4603852 0.6247948 1.001 0.4110561 0.5664841 0.995 The x and y variables are unsorted. I use the function image(x,y,mcpvalue) to generate a plot, but the error is that "increasing 'x' and

Inside of the anyNA() function, it will use the legacy any(is.na()) code if x is an OBJECT(). If x is a vector of POSIXct, it will be an OBJECT(), but it is also TYPEOF(x) == REALSXP. Therefore, it will skip the faster ITERATE_BY_REGION, which is typically 5x faster in my testing. Is the OBJECT() condition really necessary, or could it be moved after the switch() for the individual TYPEOF(x)

Hi I'm trying to implement something similar to the following R snippet using C. I seem to have hit the wall on accessing class slots using C. library(fPortfolio) lppData <- 100 * LPP2005.RET[, 1:6] ewSpec <- portfolioSpec() nAssets <- ncol(lppData) setWeights(ewSpec) <- rep(1/nAssets, times = nAssets) ewPortfolio <- feasiblePortfolio( data = lppData, spec = ewSpec,

Dear all, I want to replace an (unsorted) id variable in a large dataset by a running number without changing the order of the cases. E.g., y <- c(4,4,4,2,45,12,12) should be replaced by something like x <- c(1,1,1,2,3,4,4) Sorry for this simple question & thank you very much for your help! [[alternative HTML version deleted]]

I am wondering why sieve-filter is so slow compared to gnu sieve. I run mpop (like getmail) to download from a pop3 server to a local mbox file: ~/mail/email-incoming-unsorted This step is very fast. The next step, I throw the email-incoming-unsorted mbox file at a sieve processor, to sort the emails from that mbox, into other mboxes, according to the sieve rules file. Up until a couple days

https://bugs.freedesktop.org/show_bug.cgi?id=105687 Bug ID: 105687 Summary: BUG: unable to handle kernel NULL pointer dereference at 0000000000000ca0 Product: xorg Version: unspecified Hardware: Other OS: All Status: NEW Severity: normal Priority: medium Component:

I am trying to run an R script to create a .png file containing a tree map on a headless Linux server using Xvfb. When I try to run tmPlot, I get the following errors and warnings: Error in grid.Call(L_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : X11 font -adobe-helvetica-%s-%s-*-*-%d-*-*-*-*-*-*-*, face 1 at size 9 could not be loaded Calls: tmPlot ... <Anonymous> ->

Hi all, We would appreciate some input here. Not sure where to look... We have three AD DCs, all running samba 4.5.10, and since a few days, the samba DCs are getting stuck regularly, at ramdon times. Happens to all three of them, randomly, and currently it is happening up to a few times per day..! Must be some common cause. For the rest, the systems appear fine, enough diskspace, nothing

I retrieve for a few hundred times a group of time series (10-15 ts with 10000 values each), on every group I do some calculation, graphs etc. I wonder if there is a faster method than what presented below to get an appropriate timeseries object. Making a query with RODBC for every group I get a data frame like this: > X ID DATE VALUE 14 3 2000-01-01 00:00:03 0.5726334

Hi ..., I am trying to upgrade from Samba 4.4.4 to Samba 4.7.7 and I am facing an error similar to the one mentioned here - https://bugzilla.samba.org/show_bug.cgi?id=12297 https://bugzilla.samba.org/show_bug.cgi?id=12385 I get the following error message *every time* I run - samba-tool dbcheck --cross-ncs --fix --yes

hello hpa, please review this unsorted patch queue, as I wasn't sure about them they didn't land yet in todays pull request. thanks max git clone git://git.debian.org/users/maks/klibc.git test Thomas B?chler (1): klcc: compile shared by default jeremy buisson (1): [klibc] sparc64: fix bad 32 bits socket syscalls maximilian attems (1): [klibc] add losetup utils the