Thanks for the reminder about lattice! I did some searching and there's a good example of manipulating the size of subplots using the `position` argument (see pp. 202-203 in the Trellis Users Guide: http://ml.stat.purdue.edu/stat695t/writings/Trellis.User.pdf). This is not within the paneling environment with the headers like in other trellis plots though, so you'll have to do a bit more digging to see how to get that to work if you need those headers.

Best,

Charlie


On 01/20/2018 03:17 PM, Bert Gunter wrote:
That (the need for base graphics) is false. It certainly **can** be done in base graphics -- see ?layout for a perhaps more straightforward way to do it along the lines you suggest.

However both lattice and ggplot are based on grid graphics, which has a similar but slightly more flexible ?grid.layout function which would allow one to size and place subsequent ggplot or lattice graphs in an arbitrary layout as you have described (iiuc) for the base graphics case.

Perhaps even simpler would be to use the "position" argument of the print.trellis() function to locate trellis plots. Maybe ggplot() has something similar.

In any case, the underlying grid graphics functionality allows **much** greater fine control of graphical elements (including rotation, for example) -- at the cost of greater complexity. I would agree that doing it from scratch using base grid functions is most likely overkill here, though. But it's there.

IMHO only, the base graphics system was great in its time, but its time has passed. Grid graphics is much more powerful because it is objects based -- that is, grid graphs are objects that can be saved, modified, and even interacted with in flexible ways. Lattice and ggplot incarnations take advantage of this, giving them more power and flexibility than the base graphics capabilities can muster.

I repeat -- IMHO only! Feel free to disagree. I don't want to start any flame wars here.

Cheers,
Bert





Bert Gunter

"The trouble with having an open mind is that people keep coming along and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Sat, Jan 20, 2018 at 12:19 PM, Charlie Redmon <redm...@gmail.com <mailto:redm...@gmail.com>> wrote:

    For this kind of control you will probably need to move to base
    graphics
    and utilize the `fig` argument in par(), in which case you would
    want to
    run the plot() command twice: once with your first outcome and
    once with
    your second, changing the par() settings before each one to
    control the
    size.


    On 01/19/2018 01:39 PM, Eric Berger wrote:
    > Hi Charlie,
    > Thanks. This is helpful. As mentioned in my original question, I
    want
    > to be able to plot a few such charts on the same page,
    > say a 2 x 2 grid with such a chart for each of 4 different stocks.
    > Using your solution I accomplished this by making
    > a list pLst of your ggplots and then calling cowplot::plot_grid(
    > plotlist=pLst, nrow=2, ncol=2 )  That worked fine.
    >
    > The one issue  I have is that in the ggplot you suggest, the
    price and
    > volume facets are the same size. I would like them to be
    different sizes
    > (e.g. the volume facet at the bottom is generally shown smaller than
    > the facet above it in these types of charts.)
    >
    > I tried to find out how to do it but didn't succeed. I found a
    couple
    > of relevant discussions (including Hadley writing that he did not
    > think it was a useful feature. :-()
    >
    > https://github.com/tidyverse/ggplot2/issues/566
    <https://github.com/tidyverse/ggplot2/issues/566>
    >
    > and an ancient one where someone seems to have been able to get a
    > heights parameter working in a call to facet_grid but it did not
    work
    > for me.
    >
    
https://kohske.wordpress.com/2010/12/25/adjusting-the-relative-space-of-a-facet-grid/
    
<https://kohske.wordpress.com/2010/12/25/adjusting-the-relative-space-of-a-facet-grid/>
    >
    > Thanks again,
    > Eric
    >
    > p.s. Joshua thanks for your suggestions, but I was hoping for a
    ggplot
    > solution.
    >
    >
    > On Fri, Jan 19, 2018 at 6:33 PM, Charlie Redmon
    <redm...@gmail.com <mailto:redm...@gmail.com>
    > <mailto:redm...@gmail.com <mailto:redm...@gmail.com>>> wrote:
    >
    >     So the general strategy for getting these into separate
    panels in
    >     ggplot is to have a single variable that will be your
    response and
    >     a factor variable that indexes which original variable it came
    >     from. This can be accomplished in many ways, but the way I
    use is
    >     with the melt() function in the reshape2 package.
    >     For example,
    >
    >     library(reshape2)
    >     plotDF <- melt(SPYdf,
    >                             id.vars="Date", # variables to replicate
    >                             measure.vars=c("close", "volume"), #
    >     variables to create index from
    > variable.name <http://variable.name>
    <http://variable.name>="parameter", # name of new
    >     variable for index
    > value.name <http://value.name> <http://value.name>="resp") #
    name of what will be your
    >     response variable
    >
    >     Now the ggplot2 code:
    >
    >     library(ggplot2)
    >     ggplot(plotDF, aes(x=Date, y=resp)) +
    >         facet_wrap(~parameter, ncol=1, scales="free") +
    >         geom_line()
    >
    >
    >     Hope that does the trick!
    >
    >     Charlie
    >
    >
    >
    >     On 01/18/2018 02:11 PM, Eric Berger wrote:
    >
    >         Hi Charlie,
    >         I am comfortable to put the data in any way that works best.
    >         Here are two possibilities: an xts and a data frame.
    >
    >         library(quantmod)
    >         quantmod::getSymbols("SPY")  # creates xts variable SPY
    >         SPYxts <- SPY[,c("SPY.Close","SPY.Volume")]
    >         SPYdf  <-
    >       
     data.frame(Date=index(SPYxts),close=as.numeric(SPYxts$SPY.Close),
    >          volume=as.numeric(SPYxts$SPY.Volume))
    >         rownames(SPYdf) <- NULL
    >
    >         head(SPYxts)
    >         head(SPYdf)
    >
    >         #           SPY.Close SPY.Volume
    >         #2007-01-03    141.37   94807600
    >         #2007-01-04    141.67   69620600
    >         #2007-01-05    140.54   76645300
    >         #2007-01-08    141.19   71655000
    >         #2007-01-09    141.07   75680100
    <tel:07%C2%A0%20%C2%A075680100>
    >         #2007-01-10    141.54   72428000
    >
    >         #        Date  close   volume
    >         #1 2007-01-03 141.37 94807600
    >         #2 2007-01-04 141.67 69620600
    >         #3 2007-01-05 140.54 76645300
    >         #4 2007-01-08 141.19 71655000
    >         #5 2007-01-09 141.07 75680100 <tel:07%2075680100>
    >         #6 2007-01-10 141.54 72428000
    >
    >         Thanks,
    >         Eric
    >
    >
    >
    >         On Thu, Jan 18, 2018 at 8:00 PM, Charlie Redmon
    >         <redm...@gmail.com <mailto:redm...@gmail.com>
    <mailto:redm...@gmail.com <mailto:redm...@gmail.com>>
    >         <mailto:redm...@gmail.com <mailto:redm...@gmail.com>
    <mailto:redm...@gmail.com <mailto:redm...@gmail.com>>>> wrote:
    >
    >             Could you provide some information on your data
    structure
    >         (e.g.,
    >             are the two time series in separate columns in the
    data)? The
    >             solution is fairly straightforward once you have the
    data
    >         in the
    >             right structure. And I do not think tidyquant is
    necessary for
    >             what you want.
    >
    >             Best,
    >             Charlie
    >
    >             --     Charles Redmon
    >             GRA, Center for Research Methods and Data Analysis
    >             PhD Student, Department of Linguistics
    >             University of Kansas
    >             Lawrence, KS, USA
    >
    >
    >
    >     --
    >     Charles Redmon
    >     GRA, Center for Research Methods and Data Analysis
    >     PhD Student, Department of Linguistics
    >     University of Kansas
    >     Lawrence, KS, USA
    >
    >

    --
    Charles Redmon
    GRA, Center for Research Methods and Data Analysis
    PhD Student, Department of Linguistics
    University of Kansas
    Lawrence, KS, USA


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--
Charles Redmon
GRA, Center for Research Methods and Data Analysis
PhD Student, Department of Linguistics
University of Kansas
Lawrence, KS, USA

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