Re: [R] aov + pairwise.t.test: only selected pairs

2014-06-22 Thread Andreas Maunz
asonable answer can be extracted from a given body of data. > ~ John Tukey > > > -Oorspronkelijk bericht- > Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > Namens Andreas Maunz > Verzonden: woensdag 11 juni 2014 10:02 > Aan: r-help@r-project.o

[R] multcomp: Contrasts for Tukey

2014-06-18 Thread Andreas Maunz
I want to use the glht function. In the linfct argument, I provide my linear functions to be tested. I provide contrasts there, such as (for example) c("Group1 - Group2 = 0", "Group1 - Group3 = 0") to compare group no 1 against the other groups. I want to do Tukey's test in this fashion. Is it po

[R] aov + pairwise.t.test: only selected pairs

2014-06-11 Thread Andreas Maunz
Hi, I have a 1-way anova result and want to do a post test. I want to do pairwise t-tests where the global variance is taken into account (i.e. a real post test on the anova result, not multiple simple t tests on the samples). I understand I should use pairwise.t.test() for that. However, it doe

[R] Heatmap with mouseover

2013-10-05 Thread Andreas Maunz
Dear all, what is the recommended way to create heatmaps (or plots in general) with mouseover-effect in R, so that I can embed it into a web app? Options I have found so far are a) rCharts or b) sendplot. What are your experiences and recommendations? Thanks Andreas [[alternative HTML ve

Re: [R] rgl snapshot on headless server

2013-09-17 Thread Andreas Maunz
server that would do it (tried XF4VNC and TigerVNC). Thanks for your help anyway! Andreas On Sun, Sep 15, 2013 at 1:18 PM, Duncan Murdoch wrote: > On 13-09-15 6:02 AM, Andreas Maunz wrote: > >> The other write* options seem to limited to me. I am looking for a way >> to obtain

Re: [R] rgl snapshot on headless server

2013-09-15 Thread Andreas Maunz
Sane for plot3d(), for example. Please help, if you can, it would be quite important to have this functionality Thanks Andreas On Wed, Sep 11, 2013 at 6:19 PM, Duncan Murdoch wrote: > On 11/09/2013 11:44 AM, Andreas Maunz wrote: > >> I am running Xvfb now with >> >> -fbd

Re: [R] rgl snapshot on headless server

2013-09-11 Thread Andreas Maunz
file format? Thanks Andreas On Tue, Sep 10, 2013 at 6:38 PM, Duncan Murdoch wrote: > On 10/09/2013 10:58 AM, Andreas Maunz wrote: > >> Hi all, >> >> I have a shiny app, in which I want to use rgl's snapshot function. I am >> running Xvfb on my server so that

[R] rgl snapshot on headless server

2013-09-10 Thread Andreas Maunz
Hi all, I have a shiny app, in which I want to use rgl's snapshot function. I am running Xvfb on my server so that rgl works. I start my shiny app as follows: echo "Checking for Xvfb..." pgrep -U username Xvfb > /dev/null 2>&1 if [ "$?" -gt 0 ]; then echo "Starting Xvfb..." Xvfb :7 -screen 0

[R] [Fwd: Re: Fatal error: you must specify '--save', '--no-save' or '--vanilla']

2008-03-03 Thread Andreas Maunz
2008 09:08:30 -0500 From: Duncan Murdoch <[EMAIL PROTECTED]> User-Agent: Thunderbird 2.0.0.12 (Windows/20080213) MIME-Version: 1.0 To: Andreas Maunz <[EMAIL PROTECTED]> Subject: Re: [R] Fatal error: you must specify '--save','--no-save' or '--vanilla

Re: [R] Fatal error: you must specify '--save', '--no-save' or '--vanilla'

2008-03-03 Thread Andreas Maunz
Uwe Ligges wrote: > Andreas Maunz wrote: >> Hi, I get the above error when starting my program with rake (ruby >> make) instead of manual startup (which works as expected). >> It happens on R initialization with "REmbeddedPostgres --gui=none >> --silent" as

[R] Fatal error: you must specify '--save', '--no-save' or '--vanilla'

2008-03-03 Thread Andreas Maunz
Hi, I get the above error when starting my program with rake (ruby make) instead of manual startup (which works as expected). It happens on R initialization with "REmbeddedPostgres --gui=none --silent" as arguments (this is part of my way of embedding R in a C application using libR.so). Any hel

[R] kernlab and gram matrix

2007-12-17 Thread Andreas Maunz
se") where x is the 1xn R-matrix containing kernel values between the instance to be predicted and my training points. This won't work: Error in as.matrix(Z) : object "Z" not found. I'm using the current CRAN version of kernlab. Any help by kernlab users who had a similar tas