search for: predefining

After trying to find if there was a color picker in the FAQs and the help, I thought I would send a post here. I was overwhelmed with all the wonderful color choices R has predefined (discovered after typing in colors()) but can't figure out what they all (by name) look like. Is there a color picker or some other method to display all those colors next to the name? I think I can put together

> ----- Original Message ----- >> Hi all, >> My recent commit r187027 fixed a simple oversight of forgetting to >> check for __ppc__ (only checking __powerpc__), which broke my >> powerpc-apple-darwin8 stage1 tests, since the system gcc only >> provided >> __ppc__. I was wondering if this justifies using simpler macros like >> >> #define

----- Original Message ----- > > ----- Original Message ----- > >> Hi all, > >> My recent commit r187027 fixed a simple oversight of forgetting > >> to > >> check for __ppc__ (only checking __powerpc__), which broke my > >> powerpc-apple-darwin8 stage1 tests, since the system gcc only > >> provided > >> __ppc__. I was

Hi all, My recent commit r187027 fixed a simple oversight of forgetting to check for __ppc__ (only checking __powerpc__), which broke my powerpc-apple-darwin8 stage1 tests, since the system gcc only provided __ppc__. I was wondering if this justifies using simpler macros like #define LLVM_PPC (defined(__ppc__) || defined(__powerpc__) ...) #define LLVM_PPC64 (defined(__ppc64__) ||

Hi, > ----- Original Message ----- >>> ----- Original Message ----- >>>> Hi all, >>>> My recent commit r187027 fixed a simple oversight of forgetting >>>> to >>>> check for __ppc__ (only checking __powerpc__), which broke my >>>> powerpc-apple-darwin8 stage1 tests, since the system gcc only >>>> provided

----- Original Message ----- > Hi all, > My recent commit r187027 fixed a simple oversight of forgetting to > check for __ppc__ (only checking __powerpc__), which broke my > powerpc-apple-darwin8 stage1 tests, since the system gcc only > provided > __ppc__. I was wondering if this justifies using simpler macros like > > #define LLVM_PPC (defined(__ppc__) ||

Hi all, Does anyone knows how to add a new variable to the predefined variables sent by asterisk to AGI script? regards -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20090304/80ba7bd7/attachment.htm

Hi, I've searched R-help and haven't found an answer. I have a set of data from which I can create a classification tree using rpart. However, what I'd like to do is predefine the blank structure of the binary tree (i.e., which nodes to include) and then use a package like rpart to fit for the optimal splitting criteria at each of the predefined nodes. Does such a package exist?

Hello, I am trying to include legend text with math symbols from a predefined character variable that is read in from a file. ? If there is only one line of text in the legend, the following, although cumbersome, works for me: ? > LegendText = " 'U' [infinity], '=10 m/s' "?? # (read in from a file) ??> LegendName = paste("bquote(paste(",LegendText,

Hi all, I run R 2.11.1 under ubuntu 10.10 and caret version 2.88. I use the caret package to compare different models on a dataset. In order to compare their different performances I would like to use the same data partitions for every models. I understand that using a LGOCV or a boot type re-sampling method along with the "index" argument of the trainControl function, one is able to

Hello fellows, I want to know if there?s a way to capture the numbers typed for a user; without waiting that the IVR finish or without predefine the numbers of digits. I?m going to explain you better, for example I want to know that a user typed 12345#, but I want that the user can type over IVR and don't predefine the numbers of digits XXXXX because the user should have the quantity the

Hello, I was reading the pickaxe book and then I arrived to the chapter "When trouble strikes" in the Benchmark section. I have this code: #!/usr/bin/ruby -w require ''benchmark'' include Benchmark LOOP_COUNT = 1_000_000 bm(12) do |test| test.report("normal:") do LOOP_COUNT.times do |x| y = x +1 end end

Are there R packages that allow for dynamic clustering, i.e. where the number of clusters are not predefined? I have a list of numbers that falls in either 2 or just 1 cluster. Here an example of one that should be clustered into two clusters: two <- c(1,2,3,2,3,1,2,3,400,300,400) and here one that only contains one cluster and would therefore not need to be clustered at all. one <-

Dear All, Suppose I want to write a method for the generic function confint(): > args(confint) function (object, parm, level = 0.95, ...) So, it looks like the second and third argument have been predefined in the generic function. Suppose one or several of the predefined arguments don't apply or fit (in some sense) with the design of the rest of the package. What should one do? I see

Hello, Is there any way to create a predefined sieve filters during mailbox autocreation? What I want is that my user's mailboxes are automatically created (using mailbox option in namespaces) but I want them to have a predefined sieve script. Using a postlogin script could be an idea, but I'd prefer an automatic one, because postlogin only will filter after first user login --

Hi I am looking for R templates to introduce the R to my students at Seton hall university. The templates are predefined scripts in R that will retain its primary intent when individually customized with their own variable data or text. In this case, my students at Seton Hall University. For example, PSPad editor provides new users predefined templates before writing their own scripts. Please let

I want to set up a model with a formula and then run dynlm(formula) because I ultimately want to loop over a set of formulas (see end of post) R> form <- gas~price R> dynlm(form) Time series regression with "ts" data: Start = 1959(1), End = 1990(4) <snip> Works OK without a Lag term R> dynlm(gas ~ L(gas,1)) Time series regression with "ts" data: Start =

hello mailing list! i still consider myself an R beginner, so please bear with me if my questions seems strange. i'm in the field of biology, and have done consecutive hydraulic conductivity measurements in three parallels ("Sample"), resulting in three sets of conductivity values ("PLC" for percent loss of conductivity, relative to 100%) at multiple pressures

Hi All, I need to sample a vector ("old"), with replacement, up to the point where my vector of samples ("new") sums to a predefined value ("target"), shortening the last sample if necessary so that the total sum ("newsum") of the samples matches the predefined value. While I can easily do this with a "while" loop (see below for example

Hello everyone, Clang seems to only define __PIE__ when both –fPIC and –fPIE is used in the command line whereas gcc defines both __PIC__ and __PIE__. Is this intended or a bug in clang? Thanks. Command line: clang -fPIC -fPIE -dM -E - < /dev/null | grep __PI -- Tareq