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Subject:Re: [R] Impaired boxplot functionality - mean instead
of median
Send reply to: Martin Maechler [EMAIL PROTECTED]
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{diverted back
Evgeniy Kachalin wrote:
Frank E Harrell Jr пишет:
Evgeniy Kachalin wrote:
Marc Schwartz (via MN) пишет:
Marc Schwartz (via MN) пишет:
library(Hmisc)
library(lattice)
?panel.bpplot
bwplot(, panel=panel.bpplot)
By default, panel.bpplot shows the mean (dot) and median (line)
Hello to all users and wizards.
I am regulary using 'boxplot' function or its analogue - 'bwplot' from
the 'lattice' library. But they are, as far as I understand, totally
flawed in functionality: they miss ability to select what they would
draw 'in the middle' - median, mean. What the box
Boxplots were invented by John W. Tukey and I think should be
counted among the top small but smart achievements from the
20th century. Very wisely he did *not* use mean and standard deviations.
Even though it's possible to draw boxplots that are not boxplots
(and people only recently explained
I'm no wizard but looking at ?boxplot I think you should try ?bxp.
HTH,
Jean-Christophe.
2005/12/1, Evgeniy Kachalin [EMAIL PROTECTED]:
Hello to all users and wizards.
I am regulary using 'boxplot' function or its analogue - 'bwplot' from
the 'lattice' library. But they are, as far as I
Martin Maechler пишет:
Boxplots were invented by John W. Tukey and I think should be
counted among the top small but smart achievements from the
20th century. Very wisely he did *not* use mean and standard deviations.
Even though it's possible to draw boxplots that are not boxplots
(and
I'd like to add two comments to Martin's sensible response.
1. I've seen several intro-stats textbooks that define a
boxplot to have whiskers to the extreme data values
and then define Tukey's boxplot as a modified boxplot.
I wish authors wouldn't do that.
2. I've also seen boxplots used for
On 12/1/05, Evgeniy Kachalin [EMAIL PROTECTED] wrote:
Martin Maechler пишет:
Boxplots were invented by John W. Tukey and I think should be
counted among the top small but smart achievements from the
20th century. Very wisely he did *not* use mean and standard deviations.
Even though
On Thu, 2005-12-01 at 19:40 +0300, Evgeniy Kachalin wrote:
Martin Maechler пишет:
Boxplots were invented by John W. Tukey and I think should be
counted among the top small but smart achievements from the
20th century. Very wisely he did *not* use mean and standard deviations.
Even
All--
Would someone kindly post the reference to Tukey's formula for a boxplot
without whiskers?
I am looking at his book Exploratory Data Analysis from 1977. The
index includes box-and-whisker plot but not boxplot. On page 39-40
construction of the plot is described, including the
PROTECTED] On Behalf Of
Michael H. Prager
Sent: Thursday, December 01, 2005 10:11 AM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Impaired boxplot functionality - mean
instead of median
All--
Would someone kindly post the reference to Tukey's formula
for a boxplot
without whiskers?
I
Marc Schwartz (via MN) пишет:
On Thu, 2005-12-01 at 19:40 +0300, Evgeniy Kachalin wrote:
Martin Maechler пишет:
So I analize genetics data. I have some factor (gene variant, c(1,2,3))
and the quantitative variable corresponding to that factor. How do I
visualize this situation? Compare mean of
Marc Schwartz (via MN) пишет:
On Thu, 2005-12-01 at 19:40 +0300, Evgeniy Kachalin wrote:
Martin Maechler пишет:
So I analize genetics data. I have some factor (gene variant, c(1,2,3))
and the quantitative variable corresponding to that factor. How do I
visualize this situation?
Marc Schwartz (via MN) пишет:
Marc Schwartz (via MN) пишет:
So plotmeans is incapable of: boxplot(numerical~fact1+fact2). Is there
any way further?
I think that somehow we are talking past each other here.
plotmeans() does what it is designed to do, which is to simplify the
process of
: Thursday, December 01, 2005 3:37 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Impaired boxplot functionality - mean instead of median
Marc Schwartz (via MN) пишет:
Marc Schwartz (via MN) пишет:
So plotmeans is incapable of: boxplot(numerical~fact1+fact2). Is there
any way further?
I think
Evgeniy Kachalin wrote:
Marc Schwartz (via MN) пишет:
Marc Schwartz (via MN) пишет:
So plotmeans is incapable of: boxplot(numerical~fact1+fact2). Is there
any way further?
I think that somehow we are talking past each other here.
plotmeans() does what it is designed to do, which is to
On Thu, 2005-12-01 at 23:27 +0300, Evgeniy Kachalin wrote:
Marc Schwartz (via MN) пишет:
Marc Schwartz (via MN) пишет:
So plotmeans is incapable of: boxplot(numerical~fact1+fact2). Is there
any way further?
I think that somehow we are talking past each other here.
plotmeans()
Frank E Harrell Jr пишет:
Evgeniy Kachalin wrote:
Marc Schwartz (via MN) пишет:
Marc Schwartz (via MN) пишет:
library(Hmisc)
library(lattice)
?panel.bpplot
bwplot(, panel=panel.bpplot)
By default, panel.bpplot shows the mean (dot) and median (line) plus
several quantiles.
Wiener, Matthew пишет:
interaction(A, B) will create a single factor made up of the combinations of
the two factors A and B. Perhaps that would let you use plotmeans.
Hope this helps,
Matt Wiener
So you think plotmeans(num~interaction(A,B)) will work? How? There is NO
'num' data for a.d,
P Ehlers wrote:
I'd like to add two comments to Martin's sensible response.
1. I've seen several intro-stats textbooks that define a
boxplot to have whiskers to the extreme data values
and then define Tukey's boxplot as a modified boxplot.
I wish authors wouldn't do that.
2. I've also
Kjetil Brinchmann Halvorsen wrote:
P Ehlers wrote:
I'd like to add two comments to Martin's sensible response.
1. I've seen several intro-stats textbooks that define a
boxplot to have whiskers to the extreme data values
and then define Tukey's boxplot as a modified boxplot.
I wish
@stat.math.ethz.ch
Subject: Re: [R] Impaired boxplot functionality - mean
instead of median
Frank E Harrell Jr пишет:
Evgeniy Kachalin wrote:
Marc Schwartz (via MN) пишет:
Marc Schwartz (via MN) пишет:
library(Hmisc)
library(lattice)
?panel.bpplot
bwplot(, panel
Austin, Matt пишет:
Check your syntax on the bwplot call.
fa - data.frame(doz=sample(500:2000, size=500), fabp2=rep(1:20, 25))
bwplot(factor(fabp2) ~ doz, data=fa, panel=panel.bpplot)
Yes, that's almost the same But there is a huge amount of data on
the graphic, too much for
{diverted back to R-help}
There are several R packages that provide plots of
mean +/- SD (or mean +/- 2*SD which is an approximate 95%
confidence interval for the case of normally distributed data)
or so called error bars.
E.g. function plotCI() in package 'gplots' and errbar() in
package
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