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)

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