similar to: Reversing axis in a log plot (PR#7894)

Hello, apologies if I'm overlooking the obvious... I would like to revert a logarithmic axis with R 2.1.0 on Linux, e.g. for using pressure as a vertical coordinate. Say we have x = seq(1,3, by = 0.01) y = exp(x) Plotting and reversing linear axis is fine plot(x,y) plot(x,y, ylim = c(30,1)) as is a usual log-plot: plot(x,y, log = "y", ylim = c(1,30)) However,

declare i8 @llvm.atomic.load.max.i8.p0i8( i8* <ptr>, i8 <delta> ) declare i16 @llvm.atomic.load.max.i16.p0i16( i16* <ptr>, i16 <delta> ) declare i32 @llvm.atomic.load.max.i32.p0i32( i32* <ptr>, i32 <delta> ) declare i64 @llvm.atomic.load.max.i64.p0i64( i64* <ptr>, i64 <delta> ) declare i8 @llvm.atomic.load.min.i8.p0i8( i8* <ptr>, i8

Hi, I get a lot of error messages with this command, but I don't understand why; plot(c(),c(), xlim=c(1,10), ylim=c(0,10000), log="y") thanks for any help! [[alternative HTML version deleted]]

Hi, I am new to R plot. I am trying to scale my y axis in log. When I do this I receive the following error Error in axis(side = side, at = at, labels = labels, ...) : CreateAtVector [log-axis()]: axp[0] = 0 < 0! In addition: Warning messages: 1: In plot.window(...) : nonfinite axis limits [GScale(-inf,1.31772,2, .); log=1] 2: In axis(side = side, at = at, labels = labels, ...) :

I have been working on a patch to add support for max/min reductions in LoopVectorize. One of the comments that came up in review is that the implementation could be simplified (and less fragile) if max and min intrinsics were recognized rather than looking for compare-select sequences. The suggestion was to change compare-selects into max and min intrinsic calls during instcombine. The

Hi George, Have you considered changing our existing behavior to match GCC's builtin_object_size instead of adding a new parameter? That may be simpler overall. There's also a clear upgrade strategy -- fold every old style call to "<min> ? 0 : 1". You probably already know this, but GCC folds builtin_object_size(0, 0) to -1 and builtin_object_size(0, 2) to 0. We'll

Hi George, On Mon, Jan 2, 2017 at 10:41 AM, George Burgess IV <george.burgess.iv at gmail.com> wrote: > Thanks for the comments! > >> Have you considered changing our existing behavior to match GCC's >> builtin_object_size instead of adding a new parameter > > Yup! My issue with turning `i1 %min` into `i8 %flags` is that > __builtin_object_size would get

tl;dr: We'd like to add a bit to @llvm.objectsize to make it optionally be conservative when it's handed a null pointer. Happy Wednesday! We're trying to fix PR23277, which is a bug about how clang+LLVM treat __builtin_object_size when it's given a null pointer. For compatibility with GCC, clang would like to be able to hand back a conservative result (e.g. (size_t)-1), but the

When legend() is used with the angle argument as follows, not only the boxes beside the legend text, but also the whole legend box is filled with shading lines. I think this is not intended: plot(1:10) legend(8, 4, c("A", "B"), angle=c(10, 80), fill=NULL, density=20) I'd suggest as a fix (legend.R of R-1.5.0): 25c25 < rect2 <- function(left, top, dx, dy,

Problem: neither fg or bg nor color work properly in dotchart. version: R-1.7.1 for windows code which shows the errors: x <- matrix(rnorm(16),ncol=2,dimnames=list(paste("a",1:8,sep=""),c("before","afte r"))) dotchart(x,fg="blue",bg="lightgrey") dotchart(x,color=c("red","blue")) Dr Ian J Wilson Lecturer in

Full_Name: Mai Zhou Version: 1.9.1 OS: Win XP Professional Submission from: (NULL) (12.222.227.93) > power.t.test(n=25, delta=0.1, sig.level=1.1, strict=TRUE, type="one.sample") One-sample t test power calculation n = 25 delta = 0.1 sd = 1 sig.level = 1.1 power = 1.088311 alternative = two.sided ### power can never be

Hi all, Before posting to r-bugs, I thought that I would just verify this one first. It looks like the help for axTicks() needs to be corrected. It presently says: 'axTicks()' can be regarded as an R implementation of the C function 'CreateAtVector()' in '..../src/main/graphics.c' which is called by 'axis(side,*)' when no argument 'at' is specified.

The package ipred is uploaded to CRAN. The main focus of the package is the calculation of improved predictors in classification tasks. Misclassification error can be improved by bootstrap aggregated classification trees and/or the framework of indirect classification. Furthermore, a unified interface for the estimation of misclassification error completes the features of ipred. We try to make

The package ipred is uploaded to CRAN. The main focus of the package is the calculation of improved predictors in classification tasks. Misclassification error can be improved by bootstrap aggregated classification trees and/or the framework of indirect classification. Furthermore, a unified interface for the estimation of misclassification error completes the features of ipred. We try to make

Code like df <- data.frame(x=1:10) y <- 20:29 eval(quote(x+y), env=df) does what you might expect: it looks for x and y in the data.frame, and when it doesn't find y there, it looks in the parent environment. However, sometimes I'd like to construct a single environment out of df, so that I can pass it to nested functions and get the same behaviour. Right now, I get the wrong

Code like df <- data.frame(x=1:10) y <- 20:29 eval(quote(x+y), env=df) does what you might expect: it looks for x and y in the data.frame, and when it doesn't find y there, it looks in the parent environment. However, sometimes I'd like to construct a single environment out of df, so that I can pass it to nested functions and get the same behaviour. Right now, I get the wrong

Full_Name: Tomas Larsson Version: 2.6.0 OS: Windows XP Submission from: (NULL) (198.208.251.24) This is not a bug, it is a performance issue but I think it should have an easy fix. I have a large matrix (about 2,000,000 by 20), when I type colnames(x) it takes a long time to get the result. However, if I select just the first couple of rows of the matrix I don't have to wait for the

Full_Name: Guan-Hua Huang Version: 2.0.1 OS: Linux Submission from: (NULL) (140.113.114.123) I install the package cluster by using install.packages("cluster"). After install it, it runs fine for function clara, but it does not work for function fanny. I did the following things: library(cluster) set.seed(21) x <- rbind(cbind(rnorm(10, 0, 0.5), rnorm(10, 0, 0.5)),

Hi there, Is there an implementation of the Gaveh Stehfest algorithm in R somewhere ? Or some other inversion ? Thanks, Tolga

My problem with HFSC tc command is ... tc command''s HFSC have a lot parameter with 4 curve type SC curve -> umax dmax rate LS curve -> umax dmax rate RT curve -> umax dmax rate UL curve -> umax dmax rate so i''dont know which parameter are appropriate for my test case such real time class which curve are appropriate and good working result. my assumption about