similar to: Kumar quantile

I know it sounds like a silly question but whenever i click on "save to file" it doesn't save. whenever i use the function attach(___) it doesn't work, and says object can not be found. i have a series of data (0,0,0,1,1) that i need to save, then i want to attach(...) it in another R window. Please help. Thanks -- View this message in context:

I'm not sure I'm barking up the right tree here, but would I need to make use of groups to plot two separate datasets within ONE panel in xyplot? The desired end result is a single xy plot of two separate (but similar in values and ranges). Full code follows, xyplot code at bottom #########Determine Frequencies ##########coastal_slope #needs the maptools package to read ESRI grid

Hi, I need some neat ways of determing a subset of binary strings. For example, x=c(0,0,1), y=c(0,1,1), z=c(0,1,0). So x is a subset of y and z is also a subset of y, but x is not a subset of z. I tried to search R functions and packages but no hits. Any ideas? Best, Jing -- Jing Tang, PhD Senior Researcher Finnish Institute of Molecular Medicine (FIMM) FI-00014 University of

Is there a RoR best practice wrt determing in a visitor''s browser has JS disabled? Is there even a way to find out? I''ve got a couple of pages in my app that are not going to degrade gracefully at all. I really need to point a visitor who has JS disabled down a seperate path. Any ideas? Thanks, Bill -------------- next part -------------- An HTML attachment was scrubbed...

Hello, In response to the timing analysis attacks presented by Dawn Song et. al. in her paper http://paris.cs.berkeley.edu/~dawnsong/ssh-timing.html we at Silicon Defense developed a patch for openssh to avoid such measures. Timing Analysis Evasion changes were developed by C. Jason Coit and Roel Jonkman of Silicon Defense. These changes cause SSH to send packets unless request not to,

Hello All: How can I determing the "types" of args passed to an R function? For example, given the following: calculate <- function(...) { args <- list(...) argName = names(args) if (arg1 == character) cat("arg1 is a character") else cat("arg1 is numeric") if (arg2 == character)

I can't quite seem to solve a problem subsetting a data frame. Here's a reproducible example. Given a data frame: dat <- data.frame(fac = rep(c("a", "b"), each = 100), value = c(rnorm(130), rep(NA, 70)), other = rnorm(200)) What I want is a new data frame (with the same columns as dat) excluding the top 5% of "value"

Hello, >I am hoping for some advice as to how I might create a subset of a >matrix. The matrix is 176 x 3530. The rows are individual records >and the columns words. I want to create a new matrix that only >consists of words which occur in at least 5 records. For example, >if column 7 is "charges" and this only appears in 4 records/rows >this variable would not

On Thu, Sep 28, 2017 at 8:49 AM, Frizz <frizzthecat at googlemail.com> wrote: > After I rebooted my GlusterFS servers I can?t connect from clients any > more. > > The volume is running, but I have to do a volume start FORCE on all server > hosts to make it work again. > > I am running glusterfs 3.12.1 on Ubuntu 16.04. > > Is this a bug? > Have you been able to

Natively read and write Excel (.xls) files. Supports Windows 32-bit only (atm). A new version has been released: -- changes -- o read.xls - new arguments 'checkNames' - recognize NA values according to a new 'naStrings' argument - recognize NaN values - recognize 'true', 'false' (not case-sensitive) as logical when determing a class for data.frame column;

Natively read and write Excel (.xls) files. Supports Windows 32-bit only (atm). A new version has been released: -- changes -- o read.xls - new arguments 'checkNames' - recognize NA values according to a new 'naStrings' argument - recognize NaN values - recognize 'true', 'false' (not case-sensitive) as logical when determing a class for data.frame column;

On 08/11/2015 08:00 PM, Roman Kagan wrote: > This series is a second attempt to add a mode of virt-v2v operation > where it leaves the config and disk image conversion, rollback on > errors, registering with the destination hypervisor, etc. to a > third-party toolset, and performs only tuning of the guest OS to run in > the KVM-based hypervisor. > > The first 14 patches are

Hi, this is not a R question per se, but since I'm on the lookout for an R solution I thought this was the best place: I would like to calculate the entropy for a variable and the conditional entropy between two variables, H(X|Y) for variables X & Y I have coded the case for the categorical case but I'm having problems understanding how to do it for the continous case. >From

For the command 'spectrum' I read: The spectrum here is defined with scaling 1/frequency(x), following S-PLUS. This makes the spectral density a density over the range (-frequency(x)/2, +frequency(x)/2], whereas a more common scaling is 2? and range (-0.5, 0.5] (e.g., Bloomfield) or 1 and range (-?, ?]. Forgive my ignorance but I am having a hard time interpreting this. Does this mean

I tend to avoid the the trace/verbose arguments for the various root finders and optimizers and instead use the trace function or otherwise modify the function handed to the operator. You can print or plot the arguments or save them. E.g., > trace(ff, print=FALSE, quote(cat("x=", deparse(x), "\n", sep=""))) [1] "ff" > ff0 <- uniroot(ff, c(0, 10))

In looking at rootfinding for the histoRicalg project (see gitlab.com/nashjc/histoRicalg), I thought I would check how uniroot() solves some problems. The following short example ff <- function(x){ exp(0.5*x) - 2 } ff(2) ff(1) uniroot(ff, 0, 10) uniroot(ff, c(0, 10), trace=1) uniroot(ff, c(0, 10), trace=TRUE) shows that the trace parameter, as described in the Rd file, does not seem to be

I just thought i'd post a small sample that uses the new chan_local to show one way of doing variable callfwding This sample extension.conf uses's the ast DB to store a users current extension, in a db family of CallFWD and the unique Key is based on the current channel the user is assigned. In the globals var section each key is hardcoded EXT1, EXT2 this is used in the [incoming] context

Despite my years with R, I didn't know about trace(). Thanks. However, my decades in the minimization and root finding game make me like having a trace that gives some info on the operation, the argument and the current function value. I've usually found glitches are a result of things like >= rather than > in tests etc., and knowing what was done is the quickest way to get there.

Hi all! I''m trying to do proportional marking of real-time traffic to indicate link congestion, and for that, I wish to use the DSMARK filter to mark from, say EF to 0xcc. (an unused DSCP value) By proportional, I mean, if congestion on the egress link is, say 38%, then I shall remark 38 packets of every 100 leaving eth0. I already wrote some scripts, and I can measure the overload

Greetings -- in the "Linux Advanced Routing & Traffic Control HOWTO" chapter 14.1 on bfifo/pfifo it says that: "you can use this qdisc to determine the backlog on your interface". But it does not say exactly how. Command [#tc -s qdisc ls] outputs the number of packets sent so far but it does not output any info about the backlog. My first question is whether a command