Message-ID: <43F8A260.7060109@yandex.ru>
Date: 2006-02-19T16:52:48Z
From: Evgeniy Kachalin
Subject: Two factors -> nurical data dependency analyzing
In-Reply-To: <Pine.LNX.4.64.0602191356450.20648@gannet.stats.ox.ac.uk>
Prof Brian Ripley ?????:
> On Sun, 19 Feb 2006, Evgeniy Kachalin wrote:
>
>> Hello, dear R users.
>>
>> What is the easiest and the most visualli understandable way to analize
>> dependency of numerical variable on two factors?
>
> interaction.plot() is a good start.
>
>> Is the
>> boxplot(y~f1+f2) the good way? It seems that this formula does not work.
>
> No, nor is it documented to: the help page is there to help you. You
> need a single factor as the grouping, so make one via an interaction.
> boxplot(y ~ f1:f2) should work. E.g.
>
> library(MASS)
> boxplot(FL ~ sex:sp, data=crabs)
>
> Another idea is to use lattice's bwplot. E.g.
>
> library(lattice)
> bwplot(FL ~ sex | sp, data=crabs)
Ideally it would be a tree of factors with mean as leaves. May be you
could hint me direction to search for a graph.