On 31/08/10 03:37, Derek M Jones wrote:
Hadley,
I have counts ranging over 4-6 orders of magnitude with peaks
occurring at various 'magic' values. Using a log scale for the
y-axis enables the smaller peaks, which would otherwise
be almost invisible bumps along the x-axis, to be seen
That doe
Hadley,
That you're displaying something that is mathematically well founded
and meaningful - but my emphasis there was on histogram. I don't
think a histogram makes sense, but there are other ways of displaying
the same data that would (e.g. a frequency polygon, or maybe a density
plot)
The
>> That doesn't justify the use of a _histogram_ - and regardless of
>
> The usage highlights meaningful characteristics of the data.
> What better justification for any method of analysis and display is
> there?
That you're displaying something that is mathematically well founded
and meaningful
Hadley,
I have counts ranging over 4-6 orders of magnitude with peaks
occurring at various 'magic' values. Using a log scale for the
y-axis enables the smaller peaks, which would otherwise
be almost invisible bumps along the x-axis, to be seen
That doesn't justify the use of a _histogram_ -
> I have counts ranging over 4-6 orders of magnitude with peaks
> occurring at various 'magic' values. Using a log scale for the
> y-axis enables the smaller peaks, which would otherwise
> be almost invisible bumps along the x-axis, to be seen
That doesn't justify the use of a _histogram_ - and
Hadley,
It's not just that counts might be zero, but also that the base of
each bar starts at zero. I really don't see how logging the y/axis of
a histogram makes sense.
I have counts ranging over 4-6 orders of magnitude with peaks
occurring at various 'magic' values. Using a log scale for th
It's not just that counts might be zero, but also that the base of
each bar starts at zero. I really don't see how logging the y/axis of
a histogram makes sense.
Hadley
On Sunday, August 29, 2010, Joshua Wiley wrote:
> Hi Derek,
>
> Here is an option using the package ggplot2:
>
> library(ggplot
On 30/08/2010 1:58 p.m., Derek M Jones wrote:
All,
I have been trying to get calls to hist(...) to be plotted
with the y-axis having a log scale.
I have tried: par(ylog=TRUE)
I have also looked at the histogram package.
Suggestions welcome.
You appear to be looking for a log-histogram func
Hi Derek,
Here is an option using the package ggplot2:
library(ggplot2)
x <- sample(x = 10:50, size = 50, replace = TRUE)
qplot(x = x, geom = "histogram") + scale_y_log()
However, the log scale is often inappropriate for histograms, because
the y-axis represents counts, which could potentially b
How about computing the log of you variable and calling hist() on the log data.
logy <- log(y)
Hhist(logy)
John
John Sorkin
Chief Biostatistics and Informatics
Univ. of Maryland School of Medicine
Division of Gerontology and Geriatric Medicine
jsor...@grecc.umaryland.edu
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