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GPL and ggplot2 are specification implementations of Lee Wilkinson’s Grammar of Graphics. A chart template defines the aesthetics of the graph including colors, sizes, layout, etc. vizML is an internal specification of a graph. It contains much more information about the. BTW, Graphboard is yet another graphing option within Statistics, based only upon vizML, which is an entirely separate discussion. GPL + “chart template” à vizML àrendered chart To change aesthetics for all charts coming from BEGIN GPL you have the following options: 1) Change default colors for data elements, basic text, and size via Edit>Options>Chart. 2) Clone and edit the default template applied to the chart which is stored in template\chart_style.sgt in the SPSS install space. Then use SET CTEMPLATE to refer to it. 3) Edit a chart in the chart editor and save the template. Then refer to that template via the TEMPLATE keyword on the GGRAPH GRAPHSPEC subcommand. You can apply multiple templates to a chart. If you search through the archives, you’ll see that YMMV with this approach. From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Albert-Jan Roskam
Sent: Friday, June 08, 2012 5:29 AM
To: [hidden email]
Subject: Re: gpl question Can I squeeze in some general GPL questions? Are GPL, ViZml and ggplot2 three implementations of the Grammar of Graphics? Or is GPL code stored internally in an xml representation called ViZml? I find the defaults of ggplot2 visually very pleasing. Is it possible to change those defaults in GPL once and for all and make them similar to those of ggplot2?
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All right, but apart from the sanitation, the medicine, education, wine, public order, irrigation, roads, a
fresh water system, and public health, what have the Romans ever done for us?
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I assume that your six variables have the same scale.
If you are comparing variables, it's going to be a lot easier if you use
VARSTOCASES first to create one variable with six times as many cases as
variables.
As long as you have the same X and Y axes, you can overlay multiple elements
in it. I usually start with Chart Builder and design a chart that has no
summary statistic by specifying the "Value" statistic. This just passes a
nice un-aggregated matrix of data to the generator and I use functions (in
this instance, summary.mean) within GPL to summarize data such as group
means.
Here's an example:
*Gen up some data first.
input program.
loop #i = 1 to 20.
do repeat vars=var1 to var6.
compute vars = RV.NORMAL(0,1).
end repeat.
compute groups=RND(RV.UNIFORM(0,1)).
end case.
end loop.
end file.
end input program.
* Restructure.
VARSTOCASES
/MAKE Values FROM var1 var2 var3 var4 var5 var6
/INDEX=Variables(6)
/KEEP=groups
/NULL=KEEP.
VALUE LABELS Variables 1 "Var1" 2 "Var2" 3 "Var3" 4 "Var4" 5 "Var5" 6
"Var6".
GGRAPH
/GRAPHDATASET NAME="graphdataset" VARIABLES=Variables Values groups
MISSING=LISTWISE
REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE: s=userSource(id("graphdataset"))
DATA: Variables=col(source(s), name("Variables"), unit.category())
DATA: Values=col(source(s), name("Values"))
DATA: groups=col(source(s), name("groups"), unit.category())
GUIDE: axis(dim(1), label("Variables"))
GUIDE: axis(dim(2), label("Values"))
GUIDE: legend(aesthetic(aesthetic.color.exterior), label("groups"))
SCALE: cat(dim(1), include("1", "2", "3", "4", "5", "6"))
SCALE: linear(dim(2), include(0))
ELEMENT: interval(position(region.spread.range(Variables*Values))),
shape(shape.square))
ELEMENT: point(position(summary.mean(Variables*Values)), color(groups))
ELEMENT: point(position(summary.mean(Variables*Values)), color("Pop
Mean"))
END GPL.
Notes:
Elements are drawn in the order they used so that the interval element is
drawn first, then the points for the subgroup means, and finally a point for
Population Mean.
When the aesthetic (in this instance, color) is assigned to a categorical
variable, a point distinguished by color is generated for each value of the
categorical variable.
When the aesthetic is given a constant, there are no subgroups and a single
point is displayed. The text of the constant is displayed in the legend.
-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Maguin, Eugene
Sent: Thursday, June 07, 2012 3:53 PM
To: [hidden email]
Subject: gpl question
I have what might or might not be a complex graph to do. On one graph, I'd
like to show the ranges for six variables, a bar or line to indicate the
mean of the variable and a dot or point to indicate how a specific group
scored on each of the variables. So you look at the chart and see for group
A its mean and score range for variable X and a dot showing the group B mean
on that variable. Nicely compact!
I've reading over the GPL manual and see how to do a range and I figure that
a line isn't too hard and a dot might not be either provided the data are
structured right, which is kind of a question. But that's not THE question.
The question is putting multiple variables on the same plot. There is a
faceted example and a clustered example but neither is quite what I have in
mind, I don't think. How is that done?
Thanks, Gene Maguin
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