Hi Deepayan
Many thanks for bringing the which.packet() function to my
attention--I missed it in the book. I do prefer that the panel
function applies the labels to the data rather than adding them
directly to the data in advance.
Jeff
On Tue, Apr 12, 2011 at 8:50 AM, Deepayan Sarkar
wrote:
>
On Mon, Apr 11, 2011 at 12:49 AM, Jeff Stevens wrote:
> Many thanks, Peter. This works brilliantly, and I prefer to have the
> labels assigned outside of panel function as well.
You could also consider using which.packet(). You haven't explicitly
told us how the labels are matched with the boxpl
Many thanks, Peter. This works brilliantly, and I prefer to have the
labels assigned outside of panel function as well.
Cheers,
Jeff
On Sun, Apr 10, 2011 at 5:18 PM, Peter Ehlers wrote:
> On 2011-04-10 04:50, Jeff Stevens wrote:
>>
>> Hi Peter,
>>
>> Thanks for the solutions. The only problem
On 2011-04-10 12:19, Jeff Stevens wrote:
Many thanks, Peter. This works brilliantly, and I prefer to have the
labels assigned outside of panel function as well.
Cheers,
Jeff
Small add-on:
It's probably best to ensure that the labels are of
type character, not factor.
Peter
[...snip...]
___
On 2011-04-10 04:50, Jeff Stevens wrote:
Hi Peter,
Thanks for the solutions. The only problem now is that I have
duplicate values in my labels that are removed by the duplicated
function. Perhaps a better example of the labels vector would be:
lab<- c(1,2,4,4,6,6)
Your first version would mai
Hi Peter,
Thanks for the solutions. The only problem now is that I have
duplicate values in my labels that are removed by the duplicated
function. Perhaps a better example of the labels vector would be:
lab <- c(1,2,4,4,6,6)
Your first version would maintain the second 4 (because they are in
di
Hi,
Thanks for the work around, Dennis. My actual data set has 64
replicates for each factor level combination (rather than the 3 in the
example), so the overplotting is quite messy. Any ideas on how to
avoid the overplotting?
Jeff
On Fri, Apr 8, 2011 at 7:32 PM, Dennis Murphy wrote:
> Hi:
>
On 2011-04-09 06:21, Dennis Murphy wrote:
Hi:
One hopes that there is a more elegant solution than this bit of ad-hockery.
From your posted example:
f1<- c(rep(c(rep("a", 3), rep("b", 3), rep("c", 3)), 2))
f2<- c(rep("A", 9), rep("B", 9))
dv<- c(0.9, 0.8, 0.85, 0.6, 0.65, 0.7, 0.8, 0.85, 0.8,
Hi:
One hopes that there is a more elegant solution than this bit of ad-hockery.
>From your posted example:
f1 <- c(rep(c(rep("a", 3), rep("b", 3), rep("c", 3)), 2))
f2 <- c(rep("A", 9), rep("B", 9))
dv <- c(0.9, 0.8, 0.85, 0.6, 0.65, 0.7, 0.8, 0.85, 0.8, 0.95, 0.85,
0.9, 0.65, 0.7, 0.75, 0.85,
Hi:
After a number of false starts, I finally consulted Deepayan's book and the
example on p. 73, suitably adapted, yielded a solution. Add a variable for
the labels and then...
df$lab <- rep(1:6, each = 3)
bwplot(dv ~ f1 | f2, data = df, ylim = c(0.5, 1),
panel = function(x, y, ..., subscripts)
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