search for: straighforwardly

In porting some Common LISP code to R, I am trying to found out whether special care must be taken for the let* function. In Common LISP, "the let* block is like let except it is guaranteed to evaluate the initialization of its local variables in sequentially nested scopes, i.e. it provides an order to the binding and visibility of preceding variables.". I have included the recursive

I apologize for what seems like it should be a straighforward query. I am trying to multiply a list by a numeric and thought there would be a straightforward way to do this, but the best solution I found so far has a for loop. Everything else I try seems to throw an error "non-numeric argument to binary operator" Consider the example: a <- 1 b <- 1:2 c <- 1:3 abc <-

We are using vpn routers to connect home users back to our office network. Basically, shipping a mikrotik router that 'calls home' and establishes a vpn connection for the pc and phone that are connected to the mikrotik... user plugs router in, plugs phone and computer into router, and that traffic is encapsulated back to our office... simple and straighforward. We would like to remove

Hi, Can anyone tell me if there's a straighforward way to create a new BasicBlock without inserting it into a function's basic block list? I want to do this so I can create a forward reference to a block that's position in the function is not yet known. I've tried: Function function Builder builder; bb = BasicBlock::Create(function,...) bb.eraseFromParent() ... add other

Dear R-users, I've been using R for a while and I am very satisfied! Unfortunately, I still have not figured out an efficient and general way to construct and use lags of time series, especially when I need to work with different packages. Let me give an example. I have two time series x and y and I want to estimate a variaty of distributed lags models and run different tests

Hi I'm sure I'm missing something very straighforward here :-( I have a data set 'sales' as follows: ========================================== # read in the sales data sales<-read.table("sales.dat",header=TRUE); #generate a serial field sales$serial=c(1:24) sales an l ml ne ni total serial 1 43 25 35 51 17 69 1 2 38 18 47 94 3 99 2 ....... 24 58

I was trying to create a multi-color silhouette plot (each cluster a different color) from clusters created by trimkmeans. This works straighforwardly on an object created from pam however my colors are interwoven when I try the same approach on clusters from trimkmeans. I also tried sorting the silhouette object using sortSilhouette which did not solve the problem. If anyone has a suggestion, please let me know. I'm using R 2.4.0 on an XP ba...

Dear all, This is probably a stupid question for which I have a solution, which unfortunately is not as straighforward as I'd like. I wonder if there's a simple way to apply a weighting variable for the cases of a dataframe (well I'm sure there is, I just cannot find it). My toy example: > my.data <- data.frame(var1=c("c", "e", "a",

This seem to be a good timing taking up the integration of klibc in the kernel again. Based one klibc-0.152 and klibc.bkbits.net/2.5-klibc I will take a shot of it. I will focus on getting the library compiled (should be pretty straighforward). Next two steps are: 2) Adding minimum applications to the kernel (if any) 3) Support applications outside the kernel I will put my work on bkbits.net

On Wed, Jan 13, 2010 at 2:27 PM, James Williams <junk at giantblob.com> wrote: > Hi, > > Can anyone tell me if there's a straighforward way to create a new > BasicBlock without inserting it into a function's basic block list? I want > to do this so I can create a forward reference to a block that's position in > the function is not yet known. > > I've

Although, I can fix this, I am trying to sort out something as straighforward as possible for my students, and I have some questions that hopefully someone can help me with. My data is: Species Distance Count A 5 0 A 10 5 A 15 5 A 20 3 A 25 1 B 5 8 B 10 20 B 15 28 B 20 12 B 25 12 C 5 5 C 10 12 C 15 19 C 20 27 C 25 34 But I am struggling to get this into a data frame that does

I've got an example where I think that there should be some loop-invariant optimization happening, but it's not. Here's the C code: #define DIM 8 #define UNROLL_DIM DIM typedef double InArray[DIM][DIM]; __declspec(noalias) void f1( InArray c, const InArray a, const InArray b ) { #pragma clang loop unroll_count(UNROLL_DIM) for( int i=0;i<DIM;i++) #pragma clang loop

Hi, When using Wine to run Windows ARM64 executables on Linux, there's one major ABI incompatibility between the two; Windows treats the x18 register as the reserved platform register, while it is free to be clobbered anywhere in code on Linux. The Wine code sets up this register before passing control over to the Windows executable code, but whenever the Windows code calls a function

Hi, I believe the function utils::citation() will fail if the package specified has two or more citation entries in the current R-devel. The following error is issued: 'missing' can only be used for arguments I have created a working example on github [0] that is build using R-devel on travis-ci [1]. Jim Hester has potentially identified [2] the source of the problem as being from a

Hi, Following the fix [1] being released on 7.5, now SHA2 RSA signature methods work properly. On the other hand it is still not possible to disable SHA1 RSA alone (as an example, as SHA2-256 or SHA2-512 could also potentially be not desirable), where it is considered insecure or undesirable. I am proposing to add a mechanism, and happy to submit a patch, to enable selection of the Hashes

Dear R Community, I hope you might be able to assist with a small problem creating a function. I am working with water-quality data sets that contain the concentration of many different elements in water samples. I need to assign quality-control flags to values that fall into various concentration ranges. Rather than a web of nested if statements, I am employing the findInterval function to

Ok, I'm about to take the plunge, and am trying to decide between Channelized T1 E&M and PRI. I'm getting an "Integrated T1" which will have data and voice capability, all plugged directly into my digium single T1 card. In either case the data piece looks pretty straighforward, just setup the channel properly, hand it off to the linux hdlc layer, and route away.... the

I tried changing 'noalias' to 'restrict' in the code and I get: fma.c:17:12: warning: 'restrict' attribute only applies to return values that are pointers It seems like 'noalias' would be the correct attribute here, from the article you linked: "if a function is annotated as noalias, the optimizer can assume that, in addition to the parameters themselves,

David: I believe your response on SO is incorrect. This is a standard OFAT (one factor at a time) design, so that assuming additivity (no interactions), the effects of drugA and drugB can be determined via the model you rejected: For example, if baseline control (no drugs) has a response of 0, drugA has an effect of 1, drugB has an effect of 2, and the effects are additive, with no noise we

Well, I see newer versions of libvirt on Launchpad so I could just add PPA repository and install newer version from there. Would that work? 2017-07-10 15:11 GMT+02:00 Andrea Bolognani <abologna@redhat.com>: > On Mon, 2017-07-10 at 14:20 +0200, Jędrek Domański wrote: > > Andrea, > > > > I have libvirt version 1.3.1. I am looking at > > libvirt.org/sources and see