Slight modification to have the xaxt ticks and labels only appear on
the bottom chart
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 (%)')
On Tue, May 30, 2023 at 6:23 PM Eric Berger <ericjber...@gmail.com> 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 (%)')
>
> 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.
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