On 5/31/23 9:20 AM, Eric Berger wrote:
I sent you an updated response to deal with the redundant copies of the x-axis.
Re-sending.
par(mfrow=c(3,1))
plot(DAX.[, 1], log='y', ylab='DAX', xaxt="n")
plot(DAX.[, 2], ylab='vel (%)', xaxt="n")
plot(DAX.[, 3], ylab='accel (%)')
I got that. The primary problem with that is that most of the
vertical space is reserved for axis labels, whether they are printed or
not. If I squeeze the vertical dimension of the plot, I get, "figure
margins too large". To control that, I need to set "mar" separately for
each panel, and then the plot regions for each are not the same size.
Using the "layout" function instead of "mfrow" is better, but I don't
see now to make that work consistently without fixing the aspect ratio.
There may be a way in the tidyverse, but I haven't found it yet. The
only solution I've found so far that makes sense to me is to modify the
code for plot.ts to accept a vector for the log argument, with the
constraint that length(lot) = either 1 or ncol(x) and returning
invisibly an object that would make it feasible for a user to call
axis(2, ...) once for each vertical axis to handle cases where someone
wanted to a vertical scale different from linear and log. I'd want to
make sure that lines.ts also works with this, because I want to add fits
and predictions.
Comments?
Thanks,
Spencer Graves
** With either of the following plots, if I adjust the aspect ratio by
enlarging or reducing the vertical dimension of the plot, the relative
sizes of the plot regions change.
DAX <- EuStockMarkets[, 'DAX']
DAX. <- cbind(DAX, diff(log(DAX)), diff(diff(log(DAX))))
colnames(DAX.) <- c("DAX", 'vel (%)', 'accel (%)')
head(DAX.)
plot(DAX., log='xy')
op <- par(mfrow=c(3,1), mar=c(0, 4.1, 4.1, 2.1))
plot(DAX.[, 1], log='y', ylab='DAX', axes=FALSE)
axis(2)
box(col='grey')
par(mar=c(0, 4.1, 0, 2.1))
plot(DAX.[, 2], ylab='vel (%)', axes=FALSE)
axis(2)
box(col='grey')
par(mar=c(5.1, 4.1, 0, 2.1))
plot(DAX.[, 3], ylab='accel (%)', axes=FALSE)
axis(2)
box(col='grey')
axis(1)
par(op)
> sessionInfo()
R version 4.3.0 (2023-04-21)
Platform: x86_64-apple-darwin20 (64-bit)
Running under: macOS Big Sur 11.7.7
Matrix products: default
BLAS:
/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib;
LAPACK version 3.11.0
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: America/Chicago
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_4.3.0 tools_4.3.0 rstudioapi_0.14
On Wed, May 31, 2023 at 4:27 PM Spencer Graves
<spencer.gra...@effectivedefense.org> wrote:
On 5/30/23 10:23 AM, Eric Berger wrote:
What if you just precede these commands as follows:
par(mfrow=c(3,1))
plot(DAX.[, 1], log='y', ylab='DAX')
plot(DAX.[, 2], ylab='vel (%)')
plot(DAX.[, 3], ylab='accel (%)')
Most of the space is consumed with two extraneous copies of the axis.
We can get around that with three calls to par:
op <- par(mfrow=c(3,1), mar=c(0, 4.1, 4.1, 2.1))
plot(DAX.[, 1], log='y', ylab='DAX')
par(mar=c(0, 4.1, 0, 2.1))
plot(DAX.[, 2], ylab='vel (%)')
par(mar=c(5.1, 4.1, 0, 2.1))
plot(DAX.[, 3], ylab='accel (%)')
par(op)
However, the three panels are NOT equal in size: roughly 30% vs. 44%
vs. 26%. I can get closer using layout, but if I change the aspect
ratio, it changes the relationship between the heights of the three
panels.
That's the problem I'm trying to solve. It's also why it makes sense
to me to modify plot.ts to accept a vector for the log argument, with
the constraint that length(lot) = either 1 or ncol(x).
There may be a way to do it using gglot2 / the tidyverse, but I'm not
facile with that, and my web searches have so far failed to produce
anything better than modifying plot.ts.R (and then submitting such with
compatible changes to plot.ts.Rd), as I suggested earlier.
???
Thanks,
Spencer
On Tue, May 30, 2023 at 5:45 PM Spencer Graves
<spencer.gra...@effectivedefense.org> wrote:
On 5/30/23 8:48 AM, Eric Berger wrote:
I am a bit confused as to what you are trying to achieve - and even
if I could guess it is not clear what the interpretation would be.
head(DAX)
1628.75 1613.63 1606.51 1621.04 1618.16 1610.61
Including the leading NA's, what would be the 6 leading terms of the 3
series that you want to plot,
and what would be the Y labels that you want to appear at those levels
(assuming that there was a
Y label for each of them - just to understand the units you are talking about)
DAX <- EuStockMarkets[, 'DAX']
DAX. <- cbind(DAX, diff(log(DAX)), diff(diff(log(DAX))))
colnames(DAX.) <- c("DAX", 'vel (%)', 'accel (%)')
head(DAX.)
DAX exhibits growth that is roughly exponential, so I want to plot
it
on a log scale:
plot(DAX.[, 1], log='y', ylab='DAX')
plot(DAX.[, 2], ylab='vel (%)')
plot(DAX.[, 3], ylab='accel (%)')
This is what I want as three panels of a single plot.
I think I could get it by modifying the code for plot.ts so it
accepted ylab as a vector, etc., as I previously mentioned.
What do you think?
Thanks,
Spencer Graves
On Tue, May 30, 2023 at 4:06 PM Spencer Graves
<spencer.gra...@effectivedefense.org> wrote:
On 5/30/23 6:16 AM, Eric Berger wrote:
My code assumes that DAX is a ts object, as in your original post.
On Tue, May 30, 2023 at 2:06 PM Eric Berger <ericjber...@gmail.com> wrote:
Untested but why not
a <- cbind(log(DAX), exp(diff(log(DAX))), exp(diff(diff(log(DAX)))))
colnames(a) <- c("logDAX", "vel", "accel")
plot(a)
Progress, but we're not there yet.
a <- cbind(DAX, exp(diff(log(DAX))), exp(diff(diff(log(DAX)))))
colnames(a) <- c("logDAX", "vel", "accel")
plot(a)
plot(a, axes=FALSE, log='y')
axis(1)
axis(2)
How do I get each y axis labeled in its original units? I can use
pretty to get where I want tick marks, but I don't know where to place
them "at" in calling axis(2, at= ___)?
(axlb1 <- pretty(range(a[, 1])))
(axlb2 <- pretty(range(log(a[, 2]), na.rm=TRUE)))
(axlb3 <- pretty(range(log(a[, 3]), na.rm=TRUE)))
This suggests I write my own modification of plot.ts that accepts
log
as a character vector of length = ncol of the ts being plotted and
returns invisibly a list with the default "at" and "label" arguments
required to produce the default labeling. Then a user who wants a log
scale for some but not all variables can get that easily and can further
modify any of those scales further if they don't like the default.
???
Thanks very much.
Spencer Graves
On Tue, May 30, 2023 at 1:46 PM Spencer Graves
<spencer.gra...@effectivedefense.org> wrote:
On 5/29/23 2:37 AM, Eric Berger wrote:
How about this:
a <- cbind(AirPassengers, diff(log(AirPassengers)),
diff(diff(log(AirPassengers))))
colnames(a)[2:3] <- c("percent increase", "acceleration")
plot(a, xlab="year", main="AirPassengers")
My real problem is more difficult: I'm analyzing CO2 data from
Our
World in Data (https://ourworldindata.org/co2-emissions), and I need to
plot the CO2 data on a log scale but velocity and acceleration on linear
scales. The following is comparable:
str(DAX <- EuStockMarkets[, 'DAX'])
str(DAX. <- cbind(DAX, diff(log(DAX)),
diff(diff(log(DAX)))))
colnames(DAX.)[2:3] <- c('vel', 'accel')
plot(DAX.)
I want the first of the three panels to plot on the log scale, but
the other two on linear scales. The obvious attempt does not work:
plot(DAX., log=c('y', '', ''))
#Error in length(log) && log != "" :
# 'length = 3' in coercion to 'logical(1)'
Trying to construct my own axes isn't easy, either:
str(logDAX <- cbind(log(DAX), diff(log(DAX)),
diff(diff(log(DAX)))))
colnames(logDAX) <- c('logDAX', 'vel', 'accel')
plot(logDAX, axes=FALSE)
axis(1)
axis(2)
I'm thinking of creating my own copy of "plot.ts", and changing
it so
it accepts the "log" argument as a vector of length equal to ncol of the
ts object to be plotted AND returning an object that would allow a user
to call "axis" ncol times.
Suggestions?
Thanks,
Spencer Graves
HTH,
Eric
On Mon, May 29, 2023 at 7:57 AM Spencer Graves
<spencer.gra...@effectivedefense.org> wrote:
Hello, All:
I want to plot level, velocity, and acceleration in three panels
with
only one x axis. The code below does this using "layout". However, I
want the three plot areas to be of equal size, and this won't do that:
If I stretch the plot vertically, the relative sizes of the three panels
changes. There's probably a way to do this with ggplot2, but I have yet
to find it.
Suggestions?
Thanks,
Spencer Graves
str(AirTime <- as.numeric(time(AirPassengers)))
str(AP <- as.numeric(AirPassengers))
def.par <- par(no.readonly = TRUE) # save default, for resetting...
(mat3x1 <- matrix(1:3, 3))
plot3x1 <- layout(mat3x1, heights=c(1.4, 1, 1.5))
layout.show(plot3x1)
par(mar=c(0, 4.1, 4.1, 2.1))
plot(AirTime, AP, log='y', type='l', axes=FALSE,
main='AirPassengers', ylab='AirPassengers')
box(col='grey')
axis(2, las=1)
par(mar=c(0, 4.1, 0, 2.1))
vAP <- diff(log(AP))
plot(tail(AirTime, -1), vAP, type='l',
ylab='percent increase', axes=FALSE)
box(col='grey')
axis(2, las=1)
par(mar=c(5.1, 4.1, 0, 2.1))
plot(tail(AirTime, -2), diff(vAP), type='l',
ylab='acceleration', xlab='year',
las=1)
box(col='grey')
par(def.par)
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
