lattice: how to use a log scale on the x-axis with the bwplot function
... 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 ?cut
xrng <-xrng + eps
delta <- diff(xrng)/5 # 5 = number of intervals
brks <- seq(xrng[1], xrng[2],length.out =6)
labs <- round(log10(brks[-1] - delta/2), 2) ## log10 (centers)
groups <- cut(x,breaks = brks, ordered_result = TRUE,
labels = paste0('10^',labs))
# creating the dataframe for the lattice functions
DF <- data.frame( y = y, groups = groups)
bwplot( y ~ groups
, data=DF
, scales = list(
y = list(log=T)
),
)
On Sat, Dec 10, 2022 at 10:20 AM Bert Gunter <bgunter.4567 at gmail.com> wrote:
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, max= 10) ##*small* reprex
## cut y into 5 equally spaced groups labeled by log10 of the center
## of the intervals
yrng <- range(y)
eps <- .0001*c(-1,1)*diff(yrng) ## see ?cut
yrng <-yrng + eps
delta <- diff(yrng)/5 # 5 = number of intervals
brks <- seq(yrng[1], yrng[2],length.out =6)
labs <- round(log10(brks[-1] - delta/2), 2) ## log10 (centers)
groups <- cut(y,breaks = brks,
labels = paste0('10^',labs))
# creating the dataframe for the lattice functions
DF <- data.frame( y = y, groups = groups)
bwplot( y ~ groups
, data=DF
, scales = list(
y = list(log=T)
),
)
## Of course, ignore if I have misunderstood.
Cheers,
Bert
On Sat, Dec 10, 2022 at 8:03 AM Deepayan Sarkar <deepayan.sarkar at gmail.com>
wrote:
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 starting point:
DF <- within(DF, m <- tapply(y, groups, mean))
xyplot(y ~ m, DF, scales = list(log = TRUE),
panel = panel.bwplot, horizontal = FALSE,
box.width = .0001)
Best,
-Deepayan
On Sat, Dec 10, 2022 at 7:46 PM Laurent Rhelp <LaurentRHelp at free.fr>
wrote:
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 <- runif(100000,min=0, max=500)
x <- seq(0,500,length=length(y))
# I cut the x variable to create a factor variable in order to calculate
the boxes
groups <- cut(x,10,ordered_result = TRUE)
# creating the dataframe for the lattice functions
DF <- data.frame( x= x , y = y, groups = groups)
## ok for xyplot
xyplot( y ~ x
, data=DF
, scales = list(
y = list(log=T)
, x = list(log=T)
)
)
## ok for bwplot with the log scale for the y-axis
bwplot( y ~ groups
, data=DF
, scales = list(
y = list(log=T)
# , x = list(log=T)
)
)
## Non ok for bwplot with the log scale for the x-axis
bwplot( y ~ groups
, data=DF
, scales = list(
y = list(log=T)
, x = list(log=T)
)
)
which gives an error because the x-axis is a factor, I would like to
replace it
for the display by the meddle of every class for example and put a log
scale on the x-axis.
Thank you for your help
Best regards
Laurent
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