Re: [Rd] point size in svg

2019-06-23 Thread Spencer Graves
  Thanks to Peter Langfelder and David Winsemius for their replies.   It must be Apple specific.  I transferred the R script with the svg files between my Mac and a Windows 7 machine.  The svg files created on the Windows machine displayed properly on both machines. The svg files

[R-pkg-devel] Proposal: allow amsmath commands in function documentation

2019-06-23 Thread Alex Hayes
Hey all, I would like to propose a change to function documentation in packages. Currently, we can only use basic TeX in function documentation. It would be nice to be able to use commands from the amsmath and amsfonts LaTeX packages as well. Recently I've been running into circumstances where

Re: [Rd] methods package: A _R_CHECK_LENGTH_1_LOGIC2_=true error

2019-06-23 Thread Henrik Bengtsson
Thank you. To correct myself, I can indeed reproduce this with R --vanilla too. A reproducible example is: $ R --vanilla R version 3.6.0 Patched (2019-05-31 r76629) -- "Planting of a Tree" ... > Sys.setenv("_R_CHECK_LENGTH_1_LOGIC2_" = "true") > loadNamespace("oligo") Error in omittedSig &&

Re: [Rd] Calculation of e^{z^2/2} for a normal deviate z

2019-06-23 Thread William Dunlap via R-devel
include/Rmath.h declares a set of 'logspace' functions for use at the C level. I don't think there are core R functions that call them. /* Compute the log of a sum or difference from logs of terms, i.e., * * log (exp (logx) + exp (logy)) * or log (exp (logx) - exp (logy)) * * without

[Bioc-devel] SBGNview package build error: data package not available. (SBGNview.data not in build/check results)

2019-06-23 Thread dong xiaoxi
Dear Bioconductor team, I'm checking the 'checkResults' of a recently accepted package 'SBGNview'. https://bioconductor.org/checkResults/3.10/bioc-LATEST/ The result shows error because the data package it depends on ('SBGNview.data') is 'not available'. Also 'SBGNview.data' is not in the

Re: [Rd] Calculation of e^{z^2/2} for a normal deviate z

2019-06-23 Thread Ben Bolker
I agree with many the sentiments about the wisdom of computing very small p-values (although the example below may win some kind of a prize: I've seen people talking about p-values of the order of 10^(-2000), but never 10^(-(10^8)) !). That said, there are a several tricks for getting more