[R] Split charts with ggplot2, tidyquant
Bert Gunter
bgunter.4567 at gmail.com
Sat Jan 20 22:17:02 CET 2018
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 <redmonc at 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
> >
> > 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/
> >
> > 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 <redmonc at gmail.com
> > <mailto:redmonc at 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>="parameter", # name of new
> > variable for index
> > 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
> > <redmonc at gmail.com <mailto:redmonc at gmail.com>
> > <mailto:redmonc at gmail.com <mailto:redmonc at 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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>
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