-Original Message-
From: jim holtman [mailto:jholt...@gmail.com]
Sent: Monday, July 16, 2012 9:59 PM
To: David A Vavra
Cc: r-help@r-project.org
Subject: Re: [R] Trapping option settings
Here is one way by redefining 'options' so you can check for 'width'
and then call the 'options' in 'base
Thanks. Also helpful.
DAV
-Original Message-
From: William Dunlap [mailto:wdun...@tibco.com]
Sent: Wednesday, July 18, 2012 4:20 PM
To: David A Vavra; 'jim holtman'
Cc: r-help@r-project.org
Subject: RE: [R] Trapping option settings
Try using trace(), as in
trace(options, quote
Something has been changing the setting the width option to 1 and not
resetting it. It does this intermittently. What I would like to do is trap
changing the setting so I can determine where the change is occurring and
hopefully fix it.
Is there any easy way to do this?
I've been having a problem using the step function to evaluate models. I've
simplified the code and get the same problem using the dataset Titanic. The
relevant code and output is below. The problem disappears (i.e., 'step' runs
correctly) if I rerun the code but change the 'loglm' call to
.
DAV
-Original Message-
From: Prof Brian Ripley [mailto:rip...@stats.ox.ac.uk]
Sent: Thursday, May 17, 2012 6:46 AM
To: David A Vavra
Cc: r-help@r-project.org
Subject: Re: [R] step function stops with subscript out of bounds
On 17/05/2012 09:25, David A Vavra wrote:
I've been
I have a large number of 3d tables that I wish to sum
Is there an efficient way to do this? Or perhaps a function I can call?
I tried using do.call(sum,listoftables) but that returns a single value.
So far, it seems only a loop will do the job.
TIA,
DAV
suggestion for using reduce seems in order but as yet I'm unfamiliar
with the function.
DAV
-Original Message-
From: Bert Gunter [mailto:gunter.ber...@gene.com]
Sent: Monday, April 16, 2012 12:42 PM
To: Greg Snow
Cc: David A Vavra; r-help@r-project.org
Subject: Re: [R] Effeciently sum 3d
] On
Behalf Of Petr Savicky
Sent: Monday, April 16, 2012 11:07 AM
To: r-help@r-project.org
Subject: Re: [R] Effeciently sum 3d table
On Mon, Apr 16, 2012 at 10:28:43AM -0400, David A Vavra wrote:
I have a large number of 3d tables that I wish to sum
Is there an efficient way to do this? Or perhaps
that means
and implies.
I'm sure I'll understand it once I know what it is trying to say. :) There's
an item in the examples which may be exactly what I'm after.
DAV
-Original Message-
From: Greg Snow [mailto:538...@gmail.com]
Sent: Monday, April 16, 2012 11:54 AM
To: David A Vavra
Cc
DAV
-Original Message-
From: Bert Gunter [mailto:gunter.ber...@gene.com]
Sent: Monday, April 16, 2012 3:07 PM
To: David A Vavra
Cc: r-help@r-project.org
Subject: Re: [R] Effeciently sum 3d table
David:
1. My first name is Bert.
2. It never occurred to me that there would be a question
[mailto:dwinsem...@comcast.net]
Sent: Monday, April 16, 2012 3:26 PM
To: David A Vavra
Cc: 'Petr Savicky'; r-help@r-project.org
Subject: Re: [R] Effeciently sum 3d table
On Apr 16, 2012, at 2:43 PM, David A Vavra wrote:
Thanks Petr,
I'm after T1 + T2 + T3 + ...
Which would be one number ... i.e
...@tibco.com]
Sent: Monday, April 16, 2012 3:26 PM
To: David A Vavra; 'Bert Gunter'
Cc: r-help@r-project.org
Subject: RE: [R] Effeciently sum 3d table
Example in partial code:
Env - CreatEnv() # my own function
Assign('final',T1-T1,envir=env)
L-listOfTables
lapply(L,function(t
)
dots - list(...)
answer - .Call(do_mapply, FUN, dots, MoreArgs, environment(),
PACKAGE = base)
... etc.
-Original Message-
From: Bert Gunter [mailto:gunter.ber...@gene.com]
Sent: Monday, April 16, 2012 4:13 PM
To: David A Vavra
Cc: r-help@r-project.org
Subject: Re: [R
, April 16, 2012 4:55 PM
To: David A Vavra
Cc: r-help@r-project.org
Subject: Re: [R] Effeciently sum 3d table
On Apr 16, 2012, at 4:04 PM, David A Vavra wrote:
even now you _could_ be clearer
I fail to see why it's unclear.
I'm after T1 + T2 + T3 + ...
Which would be one number ... i.e
be faster (both to write the command
and to run) than a poorly designed naive loop application.
On Mon, Apr 16, 2012 at 12:52 PM, David A Vavra dava...@verizon.net wrote:
Thanks Greg,
I think this may be what I'm after but the documentation for it isn't
particularly clear. I hate it when someone
I'm using the levelplot function in the lattice package. I am plotting a
grid of cells and I want grid lines drawn between cells. I've spent a lot of
time trying different options. I've also looked at panel.levelplot. The
border parameter seems to be ignored or it doesn't mean cell border color.
I want to take slices of a multi-dimensional table (or array) without
knowing the number of dimensions in advance.
As a test I tried using (in this example a 3d table):
do.call(`[`, list(tbl, x,NULL,NULL)]
where I built the list on the fly. It works great as long as I only want
(This does imply you knew the number of dimensions was 3.)
Yes, at run time.
It looks as though the Nulls became 0's. So if you wanted to use
do.call(`[` then this succeeds:
do.call(`[`, list(tbl, x, 1:dim(tbl)[2], 1:dim(tbl)[3]) )
...
As does this using the empty comma approach:
From: William Dunlap [mailto:wdun...@tibco.com]
You can build the 2nd argument to do.call with alist() instead.
alist() produces a list that you can use c() and subscripting on
to add or modify arguments. It is usually better to encapsulate
this sort of thing in a function like extract() that
The dataset package is being loaded apparently by one of the packages that I
am using. The loading of the datasets takes a long time and I would like to
eliminate it. I thought the datasets were effectively examples so don't
understand why they would be required at all.
1) How can I determine
PM
To: David A Vavra
Cc: r-help@r-project.org
Subject: Re: [R] Unintended loading of package:datasets
On 11/05/2009, at 9:17 AM, David A Vavra wrote:
The dataset package is being loaded apparently by one of the
packages that I
am using. The loading of the datasets takes a long time and I
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