On Sun, Dec 11, 2022 at 11:05 PM Laurent Rhelp wrote:
>
> Excellent, it works.
>
> But, may you please explain me how xyplot knows that it has to apply
> panel.bwplot on every groups according to the groups factor ? Because
> there is only one panel. I introduced the groups argument in order to
>
Thank you very much Deepayan, I will see the help of panel.bwplot.
Best regards
L.
Le 11/12/2022 à 18:53, Deepayan Sarkar a écrit :
On Sun, Dec 11, 2022 at 11:05 PM Laurent Rhelp wrote:
Excellent, it works.
But, may you please explain me how xyplot knows that it has to apply
panel.bwplot on
Excellent, it works.
But, may you please explain me how xyplot knows that it has to apply
panel.bwplot on every groups according to the groups factor ? Because
there is only one panel. I introduced the groups argument in order to
apply the bwplot function only on the values of every group.
On Sun, Dec 11, 2022 at 2:33 PM Laurent Rhelp wrote:
>
> I understand the idea but I did not succeed.
>
> Here is what I tried:
>
> ## 1.middles of classes calculation
>
> m <- tapply(DF$x, groups, mean)
>
> ## 2. create a new factor columns with the levels deduced from
> ## the va
Indeed, I have to clarify my problem.
I have to display my physical measurements in a log-log representation.
I can do that with xyplot from the lattice package. But I would like to
show the dispersion of my measurement. So I wanted to use the bwplot
function but it is not possible because the
There can be **no log scale** for the x axis, only labels, if x is a factor
(Groups).
If what you mean is that there are no tick marks o the x-axis, they can be
added in my code in the scales list (for my reprex with 5 levels of group):
scales = list(
alternating = 1 ## ticls only on b
Ok for the labels but the x-axis is not displayed in log scale ?
Le 10/12/2022 à 22:36, Bert Gunter a écrit :
> ... and here's a version where the x variable is different than y.
> It's basically the same.
>
>
> set.seed(123)
> y <- runif(40,min=0, max= 10)
> x <- seq(0,10, length = 40)
> ## 5
I understand the idea but I did not succeed.
Here is what I tried:
## 1. middles of classes calculation
m <- tapply(DF$x, groups, mean)
## 2. create a new factor columns with the levels deduced from
## the values of the middles of the classes
##
DF$m <- DF$groups
levels(DF$m) <
... and here's a version where the x variable is different than y. It's
basically the same.
set.seed(123)
y <- runif(40,min=0, max= 10)
x <- seq(0,10, length = 40)
## 5 equally spaced groups labeled by log10 of the center
## of the intervals
xrng <- range(x)
eps <- .0001*c(-1,1)*diff(xrng) ## see
If Deepayan's suggestion does not suit and especially *if* I understand
what you want to do correctly, then it seems to me that it is
straightforward to create the groups and group labels manually:
## in verbose detail to hopefully improve clarity
set.seed(123) ## for reprex
y <- runif(40,min=0,
Log-scales for the "factor" variable in bwplot() is not allowed.
You could, however, use the panel function panel.bwplot() with
xyplot(num ~ num). The potential problem with that is the box widths,
which panel.bwplot() will not know how to compute.
See if the following gives you a reasonable star
Dear R-Help list,
I would like to use bwplot from the lattice package with a log scale
both on
the x-axis and the y-axis but I do not know how to do that because I do
not know
how to change the factor x-axis in a numeric x-axis.
Here is my example:
library(lattice)
# the mock data
y <-
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