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 compare several curves. But, when there are
a great many points, the symbols are very close and the graph
becomes unreadable. Would there be an argument or a tip not to draw
all the symbols, for example the symbols could be drawn only every x
points, x given as an argument ?
Thanks
Best regards
Laurent
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It is a very good idea !!! The symbols become readable but it is not
an actual answer to the issue.
I finally wrote the code below which works but I think there is
certainly something easier (shorter) !!!
Thanks
--o<----------------------------------------------------------------------------------------->o----
##
## 1. mock data
##
n <- 10000
time <- seq(-10*pi,10*pi,length=n)
essai <- c("essai1","essai2","essai3","essai4","essai5")
ll <- list()
for( i in 1:5){
ll[[i]] <-data.frame(time=time,
value=sin(time+(pi/i)),
essai=essai[i])
}
data.sim <- do.call("rbind",ll)
##
## 2. lattice initialisation for the colors and the symbols
##
para.liste <- trellis.par.get()
superpose.symbol <- para.liste$superpose.symbol
superpose.symbol$pch <- seq(1,5)
superpose.symbol$col <- seq(1,5)
##
## 3. lattice code
##
xyplot(value ~ time,
data=data.sim,
nr=100,
groups=essai,
panel = function(x,y,subscripts,groups,nr,...) {
panel.abline(v=0, lty = "dotted", col = "black")
groupsnames <- levels(groups)
ng <- length(groupsnames)
for( i in 1:ng){
g <- groupsnames[i]
idg <- g == groups[subscripts]
superpose.symbol <-
trellis.par.get("superpose.symbol")
ncol <- superpose.symbol$col[i]
npch <- superpose.symbol$pch[i]
## we draw only the line
panel.xyplot(x[idg],y[idg],type="l",col=ncol,...)
## and then we draw a symbol every nr points
idx <- seq(1,length(x[idg]),by=nr)
idy <- seq(1,length(y[idg]),by=nr)
panel.points(x[idg][idx],y[idg][idy],col=ncol,pch=npch)
}
},
par.settings = list(
superpose.symbol=superpose.symbol
)
)
--o<--------------------------------------------------------------------------------------->o----
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and provide commented, minimal, self-contained, reproducible code.