similar to: R interactive input like C++

I have a data in the following form : CIN TRN_TYP 9079954 1 9079954 2 9079954 3 9079954 4 9079954 5 9079954 4 9079954 5 9079954 6 9079954 7 9079954 8 9079954 9 9079954 9 . . . . . . there are 100 types of CIN (9079954,12441087,15246633,...) and respective TRN_TYP first of all, I want this data to be

Hi all, I have some problems inserting data into a legacy table. the key field of this table is a field named CIN which is a varchar(15). when I try insert into this table using a form (generated by the scaffold generator) I get this Error : _____________________________________________________________________ undefined method `CIN_before_type_cast'' for #<Candidat:0x370d8c8> |

Dear all, the help of par() claims that cin and cra are c(width, height) but it appears to be rather c(height, width) Best regards Jens Oehlschl?gel > plot.new() > strheight("W", unit="inches") [1] 0.1354167 > par("cin") [1] 0.1354167 0.1875000 > version _ platform i386-pc-mingw32 arch i386 os mingw32

Hi, I am trying to infer the dimension of an opened bitmap (png, jpeg, bitmap device...) from par() parmeters. From the help on par(), I found that: > dim <- c(400, 200) > png("foo.png", width=dim[1], height=dim[2]) > dim2 <- par("din") * par("cra") / par("cin") > dev.off() > dim2 [1] 399.9999 199.9999 I've tried the above on

Hi all, With the newest patches to LLVM, there should be no reason for having "#include <iostream>" in any library source code file, except for lib/ Support/Streams.cpp. Please use the following instead: OLD NEW --- --- std::ostream llvm::OStream std::istream llvm::IStream std::cerr llvm::cerr std::cerr llvm::cout

Here are another three problems with logarithmic scales: 1) segments() does not work with logarithmic scales. I suggest to change lines 962-973 in "plot.c": for (i = 0; i < n; i++) { if (FINITE(xt(x0[i%nx0])) && FINITE(yt(y0[i%ny0])) && FINITE(xt(x1[i%nx1])) && FINITE(yt(y1[i%ny1]))) { GP->col = INTEGER(col)[i % ncol];

On Thu, 7 Dec 2006, Bill Wendling wrote: > With the newest patches to LLVM, there should be no reason for having > "#include <iostream>" in any library source code file, except for lib/ > Support/Streams.cpp. Please use the following instead: > > OLD NEW > --- --- > std::ostream llvm::OStream > std::istream

Hello, R People: How do I change the size of a graph, please? I tried par(cin=c(8.5,11)) and it said that Warning message: parameter "cin" can't be set in: par(args) > par(fin=c(8.5,11)) > plot(xa,ya) Error in plot.new() : Figure region too large Also, can I set for portrait or landscape, please? Thanks in advance! Erin M. Hodgess, Ph.D. Associate Professor Department

Hy all I use barplot to draw frequencies by dates. On the x axis it shows only 1 date for 2 bars, i've understand why, because R cant put so much date on the same axis, it will get out of the graph. that's why i tought about reducing the size of the font used to stamp the x axis. anyone knows the right way? i've tryed par(cin) and barplot(cin=3) but it says i cannot do it at this

Hello, I am working with two different data frames, and I'd like to move data from one to the other. Here is the first frame: > head(five) Week Game.ID VTm VPts HTm HPts HDifferential VDifferential 1 1 NFL_20050908_OAK at NE OAK 20 NE 30 10 -10 2 1 NFL_20050911_ARI at NYG ARI 19 NYG 42 23 -23 3 1 NFL_20050911_CHI

Hello, I wish to customize the tick marks and labels of axes in panels produced by high-level lattice functions, namely xyplot. I know I can use the scales argument to specify values for rot, cex, etc. in the top-level call. However, I am interested in determining values for cex and rot based on the current panel / viewport and device. More specifically, I would like to make adjustments when

I'm getting a lot of warning having to do with setting graphic parameters. I don't recall actually setting any of these, so I would guess they are being set by something I am calling. Has anyone already figured out where this is happening? Paul Gilbert _____ All dse3 tests ... ok All dse4 tests ...Warning: skipping test 4 (requires stepwise). ok dse2 graphics tests ...completed dse3

The solution (provided in Microsoft's documentation) is to add: #include <cstdio> #include <io.h> #include <fcntl.h> and run: int result = _setmode( _fileno(stdin), _O_BINARY ); if( result == -1 ) { std::cerr<<"Cannot set input mode to binary."<<std::endl; return 1; } result = _setmode( _fileno(stdout), _O_BINARY ); if( result == -1 ) {

The following code demonstrates an annoyance with plot.lm(): library(DAAGxtras) x11(width=3.75, height=4) nihills.lm <- lm(log(time) ~ log(dist) + log(climb), data = nihills) plot(nihills.lm, which=5) OR try the following xy <- data.frame(x=c(3,1:5), y=c(-2, 1:5)) plot(lm(y ~ x, data=xy), which=5) The "Cook's distance" text overplots the label for the point with the

Suppose I have this C++ program: #include <iostream> int main (int argc, char** argv) { while (1) { char cmd[80]; std::cin.getline(cmd, 80); std::cout << "response to " << cmd << std::endl; } } compiled by: c++ -o junk junk.cpp and I have this bash script: #!/bin/bash ./junk <<EOF blah bleh \cC EOF echo "Something

I often use something like old.par <- par(set someting) on.exit(par(old.par)) but in R 1.7.0. I now get warnings: > old.par <- par() > par(old.par) Warning messages: 1: parameter "cin" can't be set in: par(args) 2: parameter "cra" can't be set in: par(args) 3: parameter "csi" can't be set in: par(args) 4:

Hello, I have 4 questions in R and I am looking for 4 answers! the questions are the below: 1) is there a function in R for the Least Significant Difference method for multiple comparisons? 2) Is there a function in R that gives me the studentized deleted residuals and the leverage points? 3) is there a way that I could create a link in a program of mine, so as to select an option when my program

Hi, I have a simple task I can't figure out. I'd like to take some measurements I made, e.g.: year (y-axis) 1 2 3 4 5 6 counts (x-axis) 10 10 20 30 40 50 And then, make a barplot with the x-axis ticks (representing the borders between years) between the bars. However, barplot seems to force you to make the x-axis arbitrary categories. I want it to be continuous (as in a

Hello list, I learned that under LLVM, #including of <iostream> is forbidden. Instead LLVM provides llvm::raw_ostream(for std::cout, std::cerr) and llvm::MemoryBuffer(for input stream). And using of llvm::raw_ostream is pretty easy but for me learning of how to use llvm::MemoryBuffer is pretty much difficult. I found a good sample code; utils/yaml2obj/yaml2obj.cpp. The function, main() in

Hi I would like to start by thanking everyone that replied. Thank you for the information, and for the comments about how or why you use it and thankx for the encouragement re my talk.... Please note that I do not claim to have ellicited a reply from all users of R, this is a quick survey not a census. I have tried to break the responces down to the following categories: Where: (hopefully