Hi
I collect a list of calls to a package in a function (routine) so that I do
not need to repeat the same sets of codes from program to program. In the
following, inserting the function into each program works. Then, I place
the function elsewhere in a PC folder, and include in with a 'source'
Oh yes, I meant for plotting planes, not points, of course.
Uwe
On 03.10.2015 13:52, Duncan Murdoch wrote:
On 02/10/2015 11:45 PM, Jeff Tostenrude wrote:
Thank you for the suggestion. Yes, it does seem to be a bit
counter-intuitive, but that is the output I am being asked to produce. I
have
Hello List,
I need import data from Epidata version 3.1 to R data frame. My problem is
that I need to import the level labels of from categorical variables to
factors. Epidata has two files, .red and .chk. I read on a post that the
best choice was to export them to .dta in epidat, and them to
On 03.10.2015 05:45, Jeff Tostenrude wrote:
Thank you for the suggestion. Yes, it does seem to be a bit
counter-intuitive, but that is the output I am being asked to produce. I
have only been using R for a few weeks, so there is probably a better way
to do it.
Anyway, your suggestion did work,
On 02/10/2015 11:45 PM, Jeff Tostenrude wrote:
> Thank you for the suggestion. Yes, it does seem to be a bit
> counter-intuitive, but that is the output I am being asked to produce. I
> have only been using R for a few weeks, so there is probably a better way
> to do it.
>
> Anyway, your
You did put the declaration of the function fn into the file you are
sourcing, didn't you?
If it were me I would
1 - make fn a parameter of max.calls
2 - use the ellipsis ... so I could pass other arguments in to MaxLike
3 - fix the errors I got from making it a package. It does not lie when
>From the "densregion" help page I can read that:
z is a matrix of densities on the grid defined by x and y,
with rows corresponding to elements of x
and columns corresponding to elements of y.
So in your scenario z must be a 3 rows x 100 columns matrix, if you like to
take advantage of
Dear Jeff,
> -Original Message-
> From: Jeff Tostenrude [mailto:climberj...@gmail.com]
> Sent: October 2, 2015 11:46 PM
> To: Fox, John
> Cc: r-help@r-project.org
> Subject: Re: [R] scatter3d
>
> Thank you for the suggestion. Yes, it does seem to be a bit
>
On 03.10.2015 17:53, Jeff Tostenrude wrote:
Thank you for the advice, I will try you suggestions on Monday.
Uwe, by interactive I just mean the ability to spin the plot.
If you can calculate the planes by some functions, I reall suggest to
use functions from rgl that are able to plot
Thank you for the advice, I will try you suggestions on Monday.
Uwe, by interactive I just mean the ability to spin the plot.
On Sat, Oct 3, 2015 at 7:07 AM, Fox, John wrote:
> Dear Jeff,
>
> > -Original Message-
> > From: Jeff Tostenrude
Thanks Michael. I am a new hand with R so this is over my head. I will
slowly explore all options suggested but for now I'd glad to get one option
to work. How do you 'declare the function into the routine I am sourcing,
i.e., max.calls? Is there something I can read?
On Sat, Oct 3, 2015 at 8:47
Dear Uwe,
> -Original Message-
> From: Uwe Ligges [mailto:lig...@statistik.tu-dortmund.de]
> Sent: October 3, 2015 3:24 PM
> To: Jeff Tostenrude ; Fox, John
> Cc: r-help@r-project.org; Duncan Murdoch
> Subject: Re: [R]
Does an object called 'fn' exist anywhere after you call source()?
Start looking by typing
fn
and see if it is the global environment.
You will have to show what is in the file "z:\\R\\yenlib\\lib\\max.calls.R".
Some people like to start such files with things like
remove(list=objects())
Thanks Bill. Simplified content of max.calls.R (with repeated calls to
maxLik removed) are shown below in the message. No, fn does not exist in
the environment. I call a routine (say probit.R compiled into a library) to
use maxLik. Inside this routine,
1. In probit.R. likelihood function is
I have several estimated time series, running from 2013 to 2050. 'y' values
are constrained between 0 and 1. I would like to plot them using shaded
colours of decreasing intensity, depending on an estimated density at each
point x in 2013-2050.
This is what I have done:
require(denstrip)
x <-
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