Hi Mauricio
On 9/14/2011 2:10 PM, Mauricio Cornejo wrote:
Thanks Z.
Let me clarify my problem a bit further ... as I don't think I could use cut()
or spine() to solve it.
I have a data frame with three columns (A, B, Value). 'A' and 'B' are
categorical and 'Value' is continuous and non-negative. I'm looking to make a
mosaic plot with A on one axis and B on the other. The size (i.e. area) of the
tiles would correspond to the proportion of the total Value represented by the
given combinations of the levels of A and B.
Thanks again,
Mauricio
I think what you are looking for is called a TreeMap -- a plot of a
single continuous variable broken down by two or more categorical
variables (which need not be crossed, as in a contingency table).
Typically, the Value is shown as the size (area) of the tile for each
leaf of the tree.
See:
http://flowingdata.com/2010/02/11/an-easy-way-to-make-a-treemap/
for some simple examples in R
________________________________
From: Achim Zeileis<achim.zeil...@uibk.ac.at>
Cc: "r-help@r-project.org"<r-help@r-project.org>
Sent: Wednesday, September 14, 2011 1:45 PM
Subject: Re: [R] Can 'mosaic' be used with a continuous variable?
On Wed, 14 Sep 2011, Mauricio Cornejo wrote:
Hello,
I'm wondering if the 'mosaic' plot of the vcd package (or any other function
for that matter) can be used with a continuous variable that should be
represented via various categorical variables.? All the documentation I've read
lead me to believe that it only works with counts of categories.
Alternatively, I've thought of first creating a contingency table where the
frequencies would really be the values of my continuous variable as opposed to
counts ... but I don't know how to do that.
Well, you can always use cut() to create a categorical variable from a
continuous variable. But you have to do that in advance before calling mosaic().
For a bivariate display with a continuous x and a categorical y, you can use
spine() which does the categorization for you.
hth,
Z
Any insight would be appreciated.
Thanks,
Mauricio
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