ooops...never mind. I mixed up "title" and "main" as options.
Ivo Welch (ivo.we...@gmail.com)
On Wed, May 8, 2013 at 1:54 PM, Steve Lianoglou
wrote:
> Hi Ivo,
>
> On Wed, May 8, 2013 at 1:37 PM, ivo welch wrote:
>> dear R-experts---first, a suggestion to martin: the ecdf() function
>> cou
Hi Ivo,
On Wed, May 8, 2013 at 1:37 PM, ivo welch wrote:
> dear R-experts---first, a suggestion to martin: the ecdf() function
> could have an optional parameter to set the title. by looking at
> str(), I see the plot title is set in an attr named "call". i.e., I
> can reset it as
>
> ee <- ecd
dear R-experts---first, a suggestion to martin: the ecdf() function
could have an optional parameter to set the title. by looking at
str(), I see the plot title is set in an attr named "call". i.e., I
can reset it as
ee <- ecdf( rnorm(25 ) )
attr(ee,"call") <- "my own title"
plot(ee)
alas, I ca
Hi Sarah,
Thanks for your very lucid explanations.
Thanks also to David and Dennis.
I got it completely. I now have some nice ggplot of a couple ecdf in
my paper :-)
Now on to do some matrix plots of correlation matrices and some lm().
I'm like a child in a candy shop. :-)
I'm learning something
Thanks for the clarification. I stand corrected.
Dennis
On Sun, Oct 16, 2011 at 5:48 PM, gj wrote:
> David is right. I am looking for the ecfd for fs$numstudents. The
> other column is just an id.
>
> I guess I don't know how to read the R documentation when it comes to
> functions.
>
> looking
Hi,
On Sun, Oct 16, 2011 at 8:48 PM, gj wrote:
> David is right. I am looking for the ecfd for fs$numstudents. The
> other column is just an id.
>
> I guess I don't know how to read the R documentation when it comes to
> functions.
>
> looking at the documentation, i now notice that it says "Com
David is right. I am looking for the ecfd for fs$numstudents. The
other column is just an id.
I guess I don't know how to read the R documentation when it comes to functions.
looking at the documentation, i now notice that it says "Compute an
empirical cummulative distribution function and not a
On Oct 16, 2011, at 3:53 PM, Dennis Murphy wrote:
Hi:
I don't understand what you're attempting to do. Wouldn't courseid be
a categorical variable with a numeric label? If that is so, why are
you trying to compute an EDF? An EDF computes cumulative relative
frequency of a random variable, whic
Hi:
I don't understand what you're attempting to do. Wouldn't courseid be
a categorical variable with a numeric label? If that is so, why are
you trying to compute an EDF? An EDF computes cumulative relative
frequency of a random variable, which by definition is numeric. If we
were talking about E
On Oct 16, 2011, at 11:31 AM, gj wrote:
Hi,
Newbie here. I read the R for Beginners but i still don't get this.
I have the following data (this is just an example) in a CSV file:
courseid numstudents
101 209
141 13
246 140
263
Hi,
Newbie here. I read the R for Beginners but i still don't get this.
I have the following data (this is just an example) in a CSV file:
courseid numstudents
101 209
141 13
246 140
263 8
321 10
361
Ok, I think I had a good idea to solve my problem and need someone who second
me on that or tell me what a fool I am :-) .
My problem: I went for curve-fitting with nls() and took knot()-ecdf() for
collecting data for nls-basis-dataframe. I came into trouble, because my
x-y-data of the data.frame(
On Jul 17, 2011, at 8:13 PM, Jochen1980 wrote:
Hi David,
my first attempt to work through your code was successful, my
predicted line
is pretty close to the ecdf-function. I have no idea why you
inverted the
gumbel-function and what the advantage of this strategy is?
I was advised by a
Hi David,
my first attempt to work through your code was successful, my predicted line
is pretty close to the ecdf-function. I have no idea why you inverted the
gumbel-function and what the advantage of this strategy is?
I interpret your (1:100/100)-trick like this: you build a sequence of 100
Ti
On Jul 17, 2011, at 11:07 AM, David Winsemius wrote:
On Jul 17, 2011, at 4:12 AM, Jochen1980 wrote:
Thanks David and Peter!
I tried to improve my R-script to get closer to my goal.
I guess I have to use nls(), because later I want to work with
Levenberg-Marquardt-Algorithm and when I got it
On Jul 17, 2011, at 4:12 AM, Jochen1980 wrote:
Thanks David and Peter!
I tried to improve my R-script to get closer to my goal.
I guess I have to use nls(), because later I want to work with
Levenberg-Marquardt-Algorithm and when I got it right, LM-Algorithm
uses
least squares as well, fitdi
Thanks David and Peter!
I tried to improve my R-script to get closer to my goal.
I guess I have to use nls(), because later I want to work with
Levenberg-Marquardt-Algorithm and when I got it right, LM-Algorithm uses
least squares as well, fitdistr() instead uses Maximum Likelihoods. Anyway,
I am
On Jul 16, 2011, at 14:17 , Jochen1980 wrote:
> Hi,
>
> I am using ecdf-function and want to use the ecdf()-data-points for nls() as
> data-parameter.
> nls() expects 'list' or 'environment' as a data-type, knots(ecdf(mydata))
> gives me 'numeric'.
> What should I do now?
Consider using fitdist
On Jul 16, 2011, at 8:17 AM, Jochen1980 wrote:
Hi,
I am using ecdf-function and want to use the ecdf()-data-points for
nls() as
data-parameter.
nls() expects 'list' or 'environment' as a data-type,
knots(ecdf(mydata))
gives me 'numeric'.
If you put them into 'df' with appropriate name
Hi,
I am using ecdf-function and want to use the ecdf()-data-points for nls() as
data-parameter.
nls() expects 'list' or 'environment' as a data-type, knots(ecdf(mydata))
gives me 'numeric'.
What should I do now?
Thanks in advance - Jochen
Here is the code:
##
> "DW" == David Winsemius
> on Mon, 19 Apr 2010 10:49:51 -0400 writes:
DW> The OP wrote me privately to say that the errant documantation was at:
>> http://lib.stat.cmu.edu/S/Harrell/help/Hmisc/html/ecdf.html
DW> That is a rather old bit of information. It dates back to
ck
Cc: ONKELINX, Thierry; R help
Subject: Re: [R] ecdf
On Apr 19, 2010, at 9:12 AM, Downey, Patrick wrote:
Hi Thierry,
That worked perfectly. Thanks for the suggestion.
For reference, in the documentation, it
What is "it"?
never lists {Hmisc}'s function as
starting with E i
should probably be corrected.
Thanks again.
-Mitch
-Original Message-
From: ONKELINX, Thierry [mailto:thierry.onkel...@inbo.be]
Sent: Monday, April 19, 2010 9:08 AM
To: Downey, Patrick; R help
Subject: RE: [R] ecdf
R is case sensitive. ecdf() is in the stats package, Ecdf() is in
Hmisc.
-Original Message-
From: ONKELINX, Thierry [mailto:thierry.onkel...@inbo.be]
Sent: Monday, April 19, 2010 9:08 AM
To: Downey, Patrick; R help
Subject: RE: [R] ecdf
R is case sensitive. ecdf() is in the stats package, Ecdf() is in Hmisc.
So you want Ecdf(x,what=
acted 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 Downey, Patrick
> Verzonden: maandag 19 april 2010 15:04
> Aan: R help
> Onderwerp: [R] ecdf
>
> Hello,
>
Hello,
I'd like to plot an empirical cumulative distribution function, except
instead of the fraction of values < x, I'd like the fraction of values > x.
I think this can be done using the ecdf function in {Hmisc}. I installed
the package and loaded it. However, when following the example given
El-Tahtawy, Ahmed wrote:
Dear friends,
Ecdf used to work nicely before.
e.g.
ecdf(df1v[,c(1:6)],group=df1v$trt,q=.5,col=1:2,label.curves=list(keys="l
ines"), datadensity="rug")
but now it does not work at all, even for a simpler code??? By the way,
I used the same libraries.
Dear friends,
Ecdf used to work nicely before.
e.g.
ecdf(df1v[,c(1:6)],group=df1v$trt,q=.5,col=1:2,label.curves=list(keys="l
ines"), datadensity="rug")
but now it does not work at all, even for a simpler code??? By the way,
I used the same libraries.
Thanks for your help.
Ahmed
> <[EMAIL PROTECTED]>
> on Fri, 15 Aug 2008 00:51:56 +0100 writes:
> Im using the edcf function to look at a number of
> empirical distributions graphically for run-time analyses
> of stochastic optimization algorithms. When dealing with
> problems where the optimal
Im using the edcf function to look at a number of empirical distributions
graphically for run-time analyses of stochastic optimization algorithms.
When dealing with problems where the optimal solution for these problems is
always found everything is fine and the graphs are very useful for
comparat
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