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...the plot is shifted clockwise, but past the point where north is straight up. How to get north straight up? I've read the book (very nice) and have skimmed through the documentation without finding what I need. Any help much appreciated. Here is the code from my Org-babel session: #+begin_src R :session library(ggplot2) wind.data <- read.csv("pmrf_windrose_info_new.csv") wind <- ggplot(wind.data, aes(x = degree, y = time, fill = wind)) wind.bar <- wind + geom_bar(stat = "identity") wind.bar + coord_polar() #+end_src All the best, Tom Thomas...

Hello, Is it possible to extend the R lexer/parser to include multiline comments like /* acomment */ ? This way I can integrate emacs org-mode with my R code, so that I can have a table of contents, section folding, html-output of source etc. e.g /* * Display Code */ #+BEGIN_SRC R foo <- function(...){ stuff } #+end_src and so on . Thanks Saptarshi

...the segfault on my machine. The offending dataset is quite big, so instead of posting it here I put it here: https://gist.github.com/3523761. Please put it into offending.txt to make the code below working. This is the example. Note, that without loading 'XLConnect' this works nicely. #+begin_src R library("gplots") library("XLConnect") # any of XLConnect, venneuler, xlsx case a segfault offending <- dget("offending.txt") heatmap.2(x=offending) #+end_src Interestingly, I get a segfault when loading any of c("XLConnect", "venneuler&...

...the segfault on my machine. The offending dataset is quite big, so instead of posting it here I put it here: https://gist.github.com/3523761. Please put it into offending.txt to make the code below working. This is the example. Note, that without loading 'XLConnect' this works nicely. #+begin_src R library("gplots") library("XLConnect") # any of XLConnect, venneuler, xlsx case a segfault offending <- dget("offending.txt") heatmap.2(x=offending) #+end_src Interestingly, I get a segfault when loading any of c("XLConnect", "venneuler&...

...the segfault on my machine. The offending dataset is quite big, so instead of posting it here I put it here: https://gist.github.com/3523761. Please put it into offending.txt to make the code below working. This is the example. Note, that without loading 'XLConnect' this works nicely. #+begin_src R library("gplots") library("XLConnect") # any of XLConnect, venneuler, xlsx case a segfault offending <- dget("offending.txt") heatmap.2(x=offending) #+end_src Interestingly, I get a segfault when loading any of c("XLConnect", "venneuler&...

...p (arg=0x0) at crash.c:8 __PRETTY_FUNCTION__ = "loop" #v- And the state of cbList: #v+ >>> print *cbList $2 = { nextID = 11419456, count = 1, callbacks = 0x0 } #v- I have another thread, but it is just sleeping when the crash happens. Here is the source code: #+begin_src c #include <stdio.h> #include <unistd.h> #include <assert.h> #include <pthread.h> #include <libvirt/libvirt.h> void* loop(void *arg) { while (1) { assert (virEventRunDefaultImpl() >= 0); } return NULL; } void callback(virConnectPtr conn, virDom...

...ide a function with an empty environment. I tried several versions (see below), and one of them seemed to work, but I dont understand why there is a difference between .GlobalEnv and the environment inside a function. I would be greatful for any reference or explanation or advice. Thanks Thomas #+BEGIN_SRC R :results output raw :exports results :session *R* :cache yes test0 <- function(x){ x <- rnorm(1000000) out <- list() out$f <- as.formula(u~b,env=NULL) out } test1 <- function(x){ x <- rnorm(1000000) out <- list(f=formula(u~b)) environment(...

...back to the table to edit, then rerun R, ... I append an example below. There is a load of tutorial info at http://orgmode.org/worg/org-tutorials/index.php HTH, Chuck #+begin_example #+tblname: simpleDF | a | b | c | |---+---+---| | 1 | 2 | 3 | | 5 | 4 | 2 | |---+---+---| #+end_example #+begin_src R :var df=simpleDF :results output :colnames yes summary( df ) #+end_src #+results: : a b c : Min. :1 Min. :2.0 Min. :2.00 : 1st Qu.:2 1st Qu.:2.5 1st Qu.:2.25 : Median :3 Median :3.0 Median :2.50 : Mean :3 Mean :3.0 Mean :2.50 :...