histogram for integer data

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You might consider something based on the concept of:

   y <- table( x)
   plot( as.numeric(names(y)) , y, type='h')

-Don
hi,

library(lattice)
x<-c(-1,-1,-1,0,0,0,0,1,1,2)
rng<-range(x)
histogram(x,endpoints=c(rng[1]-0.5,rng[2]+0.5),nint=length(unique(x)))

instead of contiguous bins, i'd like spaces between them to indicate
that the data is discrete, or even better, line segments positioned at
integer values.
i know how to do this with plot, but i need it with histogram, so that
in more complicated contexts i can use histogram(~x| f1 * f2....)

thanks!

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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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--------------------------------------
Don MacQueen
Environmental Protection Department
Lawrence Livermore National Laboratory
Livermore, CA, USA
925-423-1062
Thanks!

Yes, but I also want to be able to condition easily hence
histogram(...), not plot

-----Original Message-----
From: Don MacQueen [mailto:macq at llnl.gov] 
Sent: Thursday, March 27, 2008 3:55 PM
To: Rogard, Erwann R&D/US/EXT; r-help at r-project.org
Subject: Re: [R] histogram for integer data

You might consider something based on the concept of:

   y <- table( x)
   plot( as.numeric(names(y)) , y, type='h')

-Don
hi,

library(lattice)
x<-c(-1,-1,-1,0,0,0,0,1,1,2)
rng<-range(x)
histogram(x,endpoints=c(rng[1]-0.5,rng[2]+0.5),nint=length(unique(x)))

instead of contiguous bins, i'd like spaces between them to indicate 
that the data is discrete, or even better, line segments positioned at 
integer values.
i know how to do this with plot, but i need it with histogram, so that 
in more complicated contexts i can use histogram(~x| f1 * f2....)

thanks!

[[alternative HTML version deleted]]

______________________________________________
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.
--
--------------------------------------
Don MacQueen
Environmental Protection Department
Lawrence Livermore National Laboratory
Livermore, CA, USA
925-423-1062
Hi,

1)
par(ask=TRUE)
histogram(~Y|F1 * F2 * F3,data = ...)

Successively displays many plots as the # of levels in F3 w/o asking for
input between each.
In other words I only get to see the plot for the last level. What's the
right commands?

2)
Also I am wondering if there are plot objects i.e. something like
obj<-plot(x,y)

Thanks!
On 28/03/2008, Erwann.Rogard at sanofi-aventis.com
Hi,

 1)
 par(ask=TRUE)
 histogram(~Y|F1 * F2 * F3,data = ...)

 Successively displays many plots as the # of levels in F3 w/o asking for
 input between each.
 In other words I only get to see the plot for the last level. What's the
 right commands?

 2)
 Also I am wondering if there are plot objects i.e. something like
 obj<-plot(x,y)
for this you can do:

plot(x, y)
x <- recordPlot()
replayPlot(x)
 Thanks!

 ______________________________________________
 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.

Henrique Dallazuanna
Curitiba-Paran?-Brasil
25? 25' 40" S 49? 16' 22" O

Hi,

1)
par(ask=TRUE)
histogram(~Y|F1 * F2 * F3,data = ...)

Successively displays many plots as the # of levels in F3 w/o asking for
input between each.
In other words I only get to see the plot for the last level. What's the
right commands?
library(grid)
?grid.prompt.

par() applies only to base graphics, and you are using grid 
(via lattice) here.

In 2.7.0 you will use devAskNewPage() instead, and this applies to the 
device and not the graphics subsystem.
2)
Also I am wondering if there are plot objects i.e. something like
obj<-plot(x,y)
Yes, in the lattice and ggplot[2] systems, and (in a different way) in teh 
grid graphics subsystem they are built on.
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595