Fernando,
I don't have time to do all that you asked, but here is some code that makes
violin plots with mean, median, and 95% CI. I like this plot very much, even
if boxplot purists think it is horrible :-)
I think the boxplot was developed before we had computing power. Now we can
show the det
This thread may help
http://www.nabble.com/adding-the-mean-and-standard-deviation-to-boxplots-td15271398.html
--- On Wed, 7/23/08, Fernando Marmolejo-Ramos <[EMAIL PROTECTED]> wrote:
> From: Fernando Marmolejo-Ramos <[EMAIL PROTECTED]>
> Subject: Re: [R] adding the mean and
?bxp
This is the underlying routine called by boxplot and you can supply
your own values to the 5 that define a boxplot.
On Wed, Jul 23, 2008 at 2:24 AM, Fernando Marmolejo-Ramos
<[EMAIL PROTECTED]> wrote:
>
> Dear users
>
> This is a message I was directing to Harold Baize but because I pressed
Dear users
This is a message I was directing to Harold Baize but because I pressed the
wrong button the message got lost g!!!
So I’m doing it all over again:
Lets suppose I have three batches of data:
a <- rnorm(50,2500,300)
b <- rnorm(50,3500,250)
c <- rnorm(50,4000,200)
# Now I want to
Tom:
You can do this with ggplot2. The code below puts 95%
CI,a smooth line and the mean(blue point)on the same
plot.
Felipe
library(ggplot2)
r <- ggplot(ToothGrowth, aes(y=len, x=factor(dose)))
r$background.fill = "cornsilk"
r + geom_boxplot(aes(colour=supp)) +
stat_summary(aes(group=supp)
There are many ways to do it. The following will place a blue point on the
boxplot at the mean, then print the mean at the bottom of the plot. In some
plots I've gone too far and included median points and values as well. You
could also put 95% CI on the same plot, but it would get perhaps too "bu
Not precisely what you asked for but see the notch= argument to boxplot
for a graphic measure of variability. If you simply wish to print certain
statistics below the numbers already on the X axis then see:
https://stat.ethz.ch/pipermail/r-help/2008-January/152994.html
On Feb 4, 2008 10:41 AM, T
> "As for the standard deviation, are you sure you want this? Standard
> deviation only makes sense if the data are normally distributed..."
> --
>
> -- This is false, of course. What you probably meant to say is something
> like:
>
> "The sample standard deviation may not tell you
"As for the standard deviation, are you sure you want this? Standard
deviation only makes sense if the data are normally distributed..."
--
-- This is false, of course. What you probably meant to say is something
like:
"The sample standard deviation may not tell you what you think
>> How can I add the mean and standard deviation to each of the boxplots
using the example provided in the boxplot function?
boxplot(len ~ dose, data = ToothGrowth)
#You could add the mean as a point
points(tapply(len, dose, mean), col="red")
Alternatively, replace the median value with the me
Dear list,
How can I add the mean and standard deviation to each of the boxplots using
the example provided in the boxplot function?
boxplot(len ~ dose, data = ToothGrowth,
boxwex = 0.25, at = 1:3 - 0.2,
subset = supp == "VC", col = "yellow",
main = "Guinea Pigs'
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