Re: [R] ECDF, distribution of Pareto, distribution of Normal

2007-07-11 Thread livia

Thank you very much for your reply. I am afraid I have no idea what is wrong
with the pgpg function. The parameters are generated from pre-fitted GPD
distribution. 1.544 is the location parameter, 0.4373 is the scale parameter
and -0.2398 is the shape parameter.

Cound you please give me some hint?

Stefan Grosse-2 wrote:
 
 
 
  Original Message  
 Subject: [R] ECDF, distribution of Pareto, distribution of Normal
 From: livia [EMAIL PROTECTED]
 To: r-help@stat.math.ethz.ch
 Date: Tue Jul 10 2007 18:35:04 GMT+0200
 Hello all,

 I would like to plot the emperical CDF, normal CDF and pareto CDF in the
 same graph and I amusing the following codes. z is a vector and I just
 need the part when z between 1.6 and 3.

 plot(ecdf(z), do.points=FALSE, verticals=TRUE,
 xlim=c(1.6,3),ylim=c(1-sum(z1.6)/length(z), 1))

 x - seq(1.6, 3, 0.1)
 lines(x,pgpd(x, 1.544,0.4373,-0.2398), col=red)
   
 
 There is something wrong with your pgpd function, see ?pgpd for help and
 parameters... (I wonder how you got something plotted here...)
 
 
 y - seq(1.6, 3, 0.1)
 lines(y,pnorm(y, mean(z),sqrt(var(z))), col=blue)

 The emperical CDF and normal CDF look rather resonable, but the pareto
 CDF
 looks quite odd. I am not sure whether I plot the pareto CDF correctly
 e.g.
 in the right yaxs or any other mistake?

 At the same time, let t represents the vector whose values are larger
 than
 1.6(the part we want). If I implement the following codes and plot the
 emperical CDF and pareto CDF, the pareto CDF seems fit.

 plot(ecdf(t), do.points=FALSE, verticals=TRUE)
 x - seq(1.6, 3, 0.1)
 lines(x,pgpd(x, 1.544,0.4373,-0.2398), col=red)

 Could anyone give me some advice on this? Many thanks.

 
 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.
 
 

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Re: [R] ECDF, distribution of Pareto, distribution of Normal

2007-07-11 Thread J. R. M. Hosking
livia wrote:
 Hello all,
 
 I would like to plot the emperical CDF, normal CDF and pareto CDF in the
 same graph and I amusing the following codes. z is a vector and I just
 need the part when z between 1.6 and 3.
 
 plot(ecdf(z), do.points=FALSE, verticals=TRUE,
 xlim=c(1.6,3),ylim=c(1-sum(z1.6)/length(z), 1))
 
 x - seq(1.6, 3, 0.1)
 lines(x,pgpd(x, 1.544,0.4373,-0.2398), col=red)
 
 y - seq(1.6, 3, 0.1)
 lines(y,pnorm(y, mean(z),sqrt(var(z))), col=blue)
 
 The emperical CDF and normal CDF look rather resonable, but the pareto CDF
 looks quite odd. I am not sure whether I plot the pareto CDF correctly e.g.
 in the right yaxs or any other mistake?
 
 At the same time, let t represents the vector whose values are larger than
 1.6(the part we want). If I implement the following codes and plot the
 emperical CDF and pareto CDF, the pareto CDF seems fit.
 
 plot(ecdf(t), do.points=FALSE, verticals=TRUE)
 x - seq(1.6, 3, 0.1)
 lines(x,pgpd(x, 1.544,0.4373,-0.2398), col=red)
 
 Could anyone give me some advice on this? Many thanks.

If any of your data points are less than 1.6, ecdf(z) and ecdf(t)
will be different functions: for arguments greater than 1.6,
the former will take values in c(mean(z1.6),1) and the latter
will cover the range (0,1).  It is not surprising that your
pgpd function will fit only one of these empirical cdf's closely.

Assuming that those GPD parameters were obtained by fitting to just
the data values greater than 1.6, the GPD curve in your first plot
should be

   u-mean(z1.6)
   x-seq(1.6,3,0.1)
   lines(x, u + (1-u)*pgpd(x, parameters )


J. R. M. Hosking

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[R] ECDF, distribution of Pareto, distribution of Normal

2007-07-10 Thread livia

Hello all,

I would like to plot the emperical CDF, normal CDF and pareto CDF in the
same graph and I amusing the following codes. z is a vector and I just
need the part when z between 1.6 and 3.

plot(ecdf(z), do.points=FALSE, verticals=TRUE,
xlim=c(1.6,3),ylim=c(1-sum(z1.6)/length(z), 1))

x - seq(1.6, 3, 0.1)
lines(x,pgpd(x, 1.544,0.4373,-0.2398), col=red)

y - seq(1.6, 3, 0.1)
lines(y,pnorm(y, mean(z),sqrt(var(z))), col=blue)

The emperical CDF and normal CDF look rather resonable, but the pareto CDF
looks quite odd. I am not sure whether I plot the pareto CDF correctly e.g.
in the right yaxs or any other mistake?

At the same time, let t represents the vector whose values are larger than
1.6(the part we want). If I implement the following codes and plot the
emperical CDF and pareto CDF, the pareto CDF seems fit.

plot(ecdf(t), do.points=FALSE, verticals=TRUE)
x - seq(1.6, 3, 0.1)
lines(x,pgpd(x, 1.544,0.4373,-0.2398), col=red)

Could anyone give me some advice on this? Many thanks.
-- 
View this message in context: 
http://www.nabble.com/ECDF%2C-distribution-of-Pareto%2C-distribution-of-Normal-tf4056943.html#a11524560
Sent from the R help mailing list archive at Nabble.com.

__
R-help@stat.math.ethz.ch mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] ECDF, distribution of Pareto, distribution of Normal

2007-07-10 Thread Stefan Grosse


 Original Message  
Subject: [R] ECDF, distribution of Pareto, distribution of Normal
From: livia [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Date: Tue Jul 10 2007 18:35:04 GMT+0200
 Hello all,

 I would like to plot the emperical CDF, normal CDF and pareto CDF in the
 same graph and I amusing the following codes. z is a vector and I just
 need the part when z between 1.6 and 3.

 plot(ecdf(z), do.points=FALSE, verticals=TRUE,
 xlim=c(1.6,3),ylim=c(1-sum(z1.6)/length(z), 1))

 x - seq(1.6, 3, 0.1)
 lines(x,pgpd(x, 1.544,0.4373,-0.2398), col=red)
   

There is something wrong with your pgpd function, see ?pgpd for help and
parameters... (I wonder how you got something plotted here...)


 y - seq(1.6, 3, 0.1)
 lines(y,pnorm(y, mean(z),sqrt(var(z))), col=blue)

 The emperical CDF and normal CDF look rather resonable, but the pareto CDF
 looks quite odd. I am not sure whether I plot the pareto CDF correctly e.g.
 in the right yaxs or any other mistake?

 At the same time, let t represents the vector whose values are larger than
 1.6(the part we want). If I implement the following codes and plot the
 emperical CDF and pareto CDF, the pareto CDF seems fit.

 plot(ecdf(t), do.points=FALSE, verticals=TRUE)
 x - seq(1.6, 3, 0.1)
 lines(x,pgpd(x, 1.544,0.4373,-0.2398), col=red)

 Could anyone give me some advice on this? Many thanks.


__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.