Histogram for grouped data in R

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Le ven. 23 janv. ? 08:55, darthgervais a ?crit :

I have grouped data in this format

Size  -- Count
0-10 --  15
10-20 -- 25
20-50 -- 10
50-100 -- 5

I've been trying to find a way to set this up with the proper  
histogram
heights, but can't seem to figure it out. So any help would be much
appreciated!

Define your data as a "grouped.data" object using the function of the  
same name in package actuar. Then you can simply use hist() as usual  
to get what you want. See:

@Article{Rnews:Goulet+Pigeon:2008,
  author = {Vincent Goulet and Mathieu Pigeon},
  title = {Statistical Modeling of Loss Distributions Using actuar},
  journal = {R News},
  year = 2008,
  volume = 8,
  number = 1,
  pages = {34--40},
  month = {May},
  url = http, pdf = Rnews2008-1 }

HTH

---
   Vincent Goulet
   Acting Chair, Associate Professor
   ?cole d'actuariat
   Universit? Laval, Qu?bec
   Vincent.Goulet at act.ulaval.ca   http://vgoulet.act.ulaval.ca

Ok,
use library agricolae, graph.freq() is similar hist(), aditional parameters
 
size<- c(0,10,20,50,100)
f<-c(15,25,10,5)
library(agricolae)
h<-graph.freq(size,counts=f,axes=F)
axis(1,x)
axis(2,seq(0,30,5))

Other function:
# is necesary histogram h with hist() or graph.freq()
h<-graph.freq(x,counts=f,axes=F)
axis(1,x)
normal.freq(h,col="red")
table.freq(h)
ojiva.freq(h,type="b",col="blue")

Regards,
 
Felipe de Mendiburu
http://tarwi.lamolina.edu.pe/~fmendiburu

 
________________________________

From: r-help-bounces at r-project.org on behalf of darthgervais
Sent: Fri 1/23/2009 8:55 AM
To: r-help at r-project.org
Subject: [R] Histogram for grouped data in R




I have grouped data in this format

Size  -- Count
0-10 --  15
10-20 -- 25
20-50 -- 10
50-100 -- 5

I've been trying to find a way to set this up with the proper histogram
heights, but can't seem to figure it out. So any help would be much
appreciated!
--
View this message in context: http://www.nabble.com/Histogram-for-grouped-data-in-R-tp21624806p21624806.html
Sent from the R help mailing list archive at Nabble.com.

______________________________________________
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This script is correct,
use library agricolae, graph.freq() is similar hist(), aditional parameters
 
size<- c(0,10,20,50,100)
f<-c(15,25,10,5)
library(agricolae)
h<-graph.freq(size,counts=f,axes=F)
axis(1,size)
axis(2,seq(0,30,5))
#
# Other function:
# is necesary histogram h with hist() or graph.freq()
h<-graph.freq(size,counts=f,axes=F)
axis(1,size)
normal.freq(h,col="red")
table.freq(h)
ojiva.freq(h,type="b",col="blue")

 
Regards,
 
Felipe de Mendiburu
http://tarwi.lamolina.edu.pe/~fmendiburu <https://webmail.cip.cgiar.org/exchweb/bin/redir.asp?URL=http://tarwi.lamolina.edu.pe/~fmendiburu> 


________________________________

From: r-help-bounces at r-project.org on behalf of Vincent Goulet
Sent: Fri 1/23/2009 10:36 AM
To: darthgervais
Cc: r-help at r-project.org
Subject: Re: [R] Histogram for grouped data in R



Le ven. 23 janv. ? 08:55, darthgervais a ?crit :

I have grouped data in this format

Size  -- Count
0-10 --  15
10-20 -- 25
20-50 -- 10
50-100 -- 5

I've been trying to find a way to set this up with the proper 
histogram
heights, but can't seem to figure it out. So any help would be much
appreciated!

Define your data as a "grouped.data" object using the function of the 
same name in package actuar. Then you can simply use hist() as usual 
to get what you want. See:

@Article{Rnews:Goulet+Pigeon:2008,
  author = {Vincent Goulet and Mathieu Pigeon},
  title = {Statistical Modeling of Loss Distributions Using actuar},
  journal = {R News},
  year = 2008,
  volume = 8,
  number = 1,
  pages = {34--40},
  month = {May},
  url = http, pdf = Rnews2008-1 }

HTH

---
   Vincent Goulet
   Acting Chair, Associate Professor
   ?cole d'actuariat
   Universit? Laval, Qu?bec
   Vincent.Goulet at act.ulaval.ca   http://vgoulet.act.ulaval.ca <http://vgoulet.act.ulaval.ca/> 

______________________________________________
R-help at r-project.org 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.