Re: [R] ecdf --- title suggestion and question

2013-05-08 Thread ivo welch
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

Re: [R] ecdf --- title suggestion and question

2013-05-08 Thread Steve Lianoglou
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

Re: [R] ecdf

2011-10-17 Thread gj
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

Re: [R] ecdf

2011-10-16 Thread Dennis Murphy
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

Re: [R] ecdf

2011-10-16 Thread Sarah Goslee
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

Re: [R] ecdf

2011-10-16 Thread gj
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

Re: [R] ecdf

2011-10-16 Thread David Winsemius
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

Re: [R] ecdf

2011-10-16 Thread Dennis Murphy
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

Re: [R] ecdf

2011-10-16 Thread David Winsemius
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

Re: [R] ecdf() to nls() - how to transform data?

2011-07-18 Thread Jochen1980
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(

Re: [R] ecdf() to nls() - how to transform data?

2011-07-17 Thread David Winsemius
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

Re: [R] ecdf() to nls() - how to transform data?

2011-07-17 Thread Jochen1980
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

Re: [R] ecdf() to nls() - how to transform data?

2011-07-17 Thread David Winsemius
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

Re: [R] ecdf() to nls() - how to transform data?

2011-07-17 Thread David Winsemius
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

Re: [R] ecdf() to nls() - how to transform data?

2011-07-17 Thread Jochen1980
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

Re: [R] ecdf() to nls() - how to transform data?

2011-07-16 Thread peter dalgaard
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

Re: [R] ecdf() to nls() - how to transform data?

2011-07-16 Thread David Winsemius
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

Re: [R] ecdf

2010-04-21 Thread Martin Maechler
> "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

Re: [R] ecdf

2010-04-19 Thread David Winsemius
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

Re: [R] ecdf

2010-04-19 Thread David Winsemius
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.

Re: [R] ecdf

2010-04-19 Thread Downey, Patrick
-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=

Re: [R] ecdf

2010-04-19 Thread ONKELINX, Thierry
R is case sensitive. ecdf() is in the stats package, Ecdf() is in Hmisc. So you want Ecdf(x,what='1-F') Thierry ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek team Biometrie & Kwaliteitszorg Gaverstraat 4 95

Re: [R] ecdf error

2010-02-05 Thread Frank E Harrell Jr
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.

Re: [R] ecdf manipulation

2008-08-16 Thread Martin Maechler
> <[EMAIL PROTECTED]> > on Fri, 15 Aug 2008 00:51:56 +0100 writes: > I’m 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