ycerol/od~g*t*date,data=df.yx.t)
Thereby enabling me to perform a factorial ANOVA.
2) There are missing values in the metabolite data, making the data
unbalanced.
I have read that one can use type II sum of squares in these
circumstance, which I use without further adjusting
olor2D.matplot(x,cellcolors=colmat,border=NA)
#image()
m = colmat
mc = matrix(1:(nrow(m)*ncol(m)),nrow(m),ncol(m))
image(mc,col=m)
On 5 November 2010 06:55, Jim Lemon wrote:
> On 11/05/2010 03:00 AM, Peter Davenport wrote:
>
>> Dear R-help,
>>
>> Could any of you direct me
across any examples) .
Best wishes and thank you,
Peter Davenport
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I've found the solution to this in an old post of Deepayan's:
lattice.options(axis.padding = list(numeric=0))
Best,
Peter
On 27 October 2010 09:28, Peter Davenport wrote:
> Unwanted space (padding?) is introduced at the extremes of the x and y
> axes of my lattice plots.
>
)...
xyplot(a~b|c,data=test.df
,scale=list(x=list(limits=c(0,2),at=seq(0,2,0.5)))
)
3) ...but not when relation="free":
xyplot(a~b|c,data=test.df
,scale=list(x=list(relation="free",limits=list(c(0,1),
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