Why not use the interactive histogram in iplots? ihist(x) Then you
can vary the binwidth interactively and get a very quick idea of the
structure of your data by looking at a range of plots with different
binwidths. Relying on a single plot to reveal everything about a
variable's
If I understand:
x - rnorm(1e6)
out - tapply(x, ceiling(x), length)
plot(as.numeric(names(out)), out)
On 27/02/2008, Andre Nathan [EMAIL PROTECTED] wrote:
On Wed, 2008-02-27 at 14:15 +1300, Peter Alspach wrote:
If I understand you correctly, you could try a barplot() on the result
of
On Wed, 2008-02-27 at 14:15 +1300, Peter Alspach wrote:
If I understand you correctly, you could try a barplot() on the result
of table().
Hmm, table() does the counting exactly the way I want, i.e., just
counting individual values. Is there a way to extract the counts vs. the
values from a
On Feb 27, 2008, at 8:16 AM, Andre Nathan wrote:
On Wed, 2008-02-27 at 14:15 +1300, Peter Alspach wrote:
If I understand you correctly, you could try a barplot() on the
result
of table().
Hmm, table() does the counting exactly the way I want, i.e., just
counting individual values. Is
Andre Nathan wrote:
On Wed, 2008-02-27 at 14:15 +1300, Peter Alspach wrote:
If I understand you correctly, you could try a barplot() on the result
of table().
Hmm, table() does the counting exactly the way I want, i.e., just
counting individual values. Is there a way to extract the counts
On Wed, 2008-02-27 at 08:48 -0500, Charilaos Skiadas wrote:
x - table(rbinom(20,2,0.5))
plot(names(x),x)
should do it. You can also try just plot(x). Use prop.table on table
if you want the relative frequencies instead.
Yes, names is what I needed :) Thanks for the prop.table hint. I
Hello
I need to plot a histogram, but insted of using bars, I'd like to plot
the data points. I've been doing it like this so far:
h - hist(x, plot = F)
plot(y = x$counts / sum(x$counts),
x = x$breaks[2:length(x$breaks)],
type = p, log = xy)
Sometimes I want to have a look at
take a look at
?stem
There is still a place for handtools in the age of integrated
circuits. Of course, avoiding binning isn't really desirable.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558
On Tue, Feb 26, 2008 at 4:10 PM, Andre Nathan [EMAIL PROTECTED] wrote:
Hello
I need to plot a histogram, but insted of using bars, I'd like to plot
the data points. I've been doing it like this so far:
h - hist(x, plot = F)
plot(y = x$counts / sum(x$counts),
x =
I know about stem, but the data set has 1 million points, so it's not
very useful here. I want to avoid binning just to have an idea about the
shape of the distribution, before deciding how I'll bin it.
Andre
On Tue, 2008-02-26 at 16:20 -0600, roger koenker wrote:
take a look at
?stem
-help
Subject: Re: [R] Raw histogram plots
I know about stem, but the data set has 1 million points, so
it's not very useful here. I want to avoid binning just to
have an idea about the shape of the distribution, before
deciding how I'll bin it.
Andre
On Tue, 2008-02-26 at 16:20 -0600
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Andre Nathan
Sent: Wednesday, 27 February 2008 1:34 p.m.
To: roger koenker
Cc: r-help
Subject: Re: [R] Raw histogram plots
I know about stem, but the data set has 1 million points, so
it's not very useful
On Tue, 26 Feb 2008, Andre Nathan wrote:
I know about stem, but the data set has 1 million points, so it's not
very useful here. I want to avoid binning just to have an idea about the
shape of the distribution, before deciding how I'll bin it.
Ideas:
1) use a much smaller sample of the data
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