Hi Paul,
Thank you for the ggplot2 suggestions.
Please note that during the last few hours, Hadley has put up his own
ggplot2 implementation of the clustergram.
I updated about it in the original post:
http://www.r-statistics.com/2010/06/clustergram-visualization-and-diagnostics-for-cluster-analys
Hi Tal,
I you use ggplot you can use the alpha command to make lines
transparent. The nice thing is that when they overlap, the transparency
adds up. I use this a lot to visualize outcomes from ensemble modelling
(e.g. time series of RMSE).
A small example:
library(ggplot2)
dat = data.frame
Hello Hadley, Tormod and every one else.
I just published a post on my blog, giving the code and presenting an
example of it's use (on the Iris data set)
http://www.r-statistics.com/2010/06/clustergram-a-graph-for-visualizing-cluster-analyses-r-code/
I welcome any comments (pitfalls, suggestions
Hi Hadley,
I wrapped the code into a function.
I made it so all the lines would always start from the cluster mean.
And I tried to give more meaning to the colors by giving the
color according the the order of the first principal component of that
observation.
What do you think ?
Tal
# -
> The glitches are the cases where you would have a bundle of lines belonging
> to a specific cluster, but had spaces between them (because the place of one
> of the lines was saved for another line that in the meantime moved to
> another cluster).
I think that display looked just fine!
> I just
Hi Hadley,
Thanks for replying.
The glitches are the cases where you would have a bundle of lines belonging
to a specific cluster, but had spaces between them (because the place of one
of the lines was saved for another line that in the meantime moved to
another cluster).
I just came up with a so
> My current solution is to use a constant jitter (based on "seq") on all the
> k number of clusters, but that causes glitches in the produced image (run my
> code to see).
What are the glitches? It looks pretty good to me. (I'm not sure if
the colour does anything apart from make it pretty thou
Hello all,
I am trying to create a Clustergram in R.
(More about it here: http://www.schonlau.net/clustergram.html)
And to produce a picture similar to what is seen here:
http://www.schonlau.net/images/clustergramexample.gif
I was able (more or less) to write the R code for creating the image, b
## The grouped boxplot is one of the features included in the HH package.
## You will need to install HH if you do not yet have the HH package
## A similar example is posted on my website
##http://astro.ocis.temple.edu/~rmh/HH/bwplot-color.pdf
## This is fake data which I hope mimics the struc
Hello All,
I'm having some issues controlling graphics in R. I was wondering if anyone
may help me tackle this problem:
Given a data frame "X" with variables "Year", "Factor" (w/ n groups), and
"Freq"
How do I create a single graphic with the following plots aligned in a
vertical stack?
1. box
Stephan Spat wrote:
> Hello!
>
> I would like to visualize the hospitalization within one year of several
> patients using a bar chart. For each patient the stay in a hospital
> should be illustrated with a dark colour a if there is a stay at home
> between 2 hopital stays, it should be illustrate
If I undestand your question you can try something about like this:
x <- matrix(rbinom(75, 1,.6), nc=3)
image(x, col=c("gray", "white"), axes=F)
axis(1, at=seq(0,1, l=nrow(x)), labels=paste("Day", 1:nrow(x)))
axis(2, at=seq(0,1, l=ncol(x)), labels=paste("P", 1:3, sep=""))
On 18/02/2008, Stephan
Hello!
I would like to visualize the hospitalization within one year of several
patients using a bar chart. For each patient the stay in a hospital
should be illustrated with a dark colour a if there is a stay at home
between 2 hopital stays, it should be illustrated with a bright colour.
e.g.
P
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