Le 23/06/2014 01:03, Dennis Murphy a écrit :
Hi:
There are times when lattice is easier than ggplot2 and times when the
converse is true. This is a case where ggplot2 is easier to code once
you understand what it is doing. I'm going to try to reproduce your
lattice graph in ggplot2 as follows:
Dear Laurent,
Why not use "type="l""?
xyplot(value ~ time,
data=data.sim,
nr=100,
groups=essai,type="l",auto.key=list(columns=5))
You could also use more/better colours using RColorBrewer and/or
ColorRamp...
Cheers
Christoph
Am 22.06.2014 23:09, schrieb Laurent Rhelp:
Le 20/06/2014 21:50, Christoph Scherber a écrit :
Dear Laurent
for numeric x variables, you could try jitter:
xyplot(y~jitter(x,0.5))
Cheers
Christoph
Am 20.06.2014 21:45, schrieb Laurent Rhelp:
Hi,
I like to use with xyplot (package lattice) the groups argument and
superpose.symbol to
Hi
Try
xyplot(y ~ x, ... pch = ".", cex = 2)
You may be able to get away with cex = 1 on certain drivers but for most
instances cex = 2 will be the smallest size.
Regards
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home: m
On Jun 20, 2014, at 12:45 PM, Laurent Rhelp wrote:
> Hi,
>
> I like to use with xyplot (package lattice) the groups argument and
> superpose.symbol to compare several curves. But, when there are a great many
> points, the symbols are very close and the graph becomes unreadable. Would
> there
Dear Laurent
for numeric x variables, you could try jitter:
xyplot(y~jitter(x,0.5))
Cheers
Christoph
Am 20.06.2014 21:45, schrieb Laurent Rhelp:
Hi,
I like to use with xyplot (package lattice) the groups argument and
superpose.symbol to compare several curves. But, when there are a
grea
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