Is there anything like VBARPARM for Box Plots?

[grsanford]

I would like to creat a "box-plot like" graph with summary statistical ouptut. I would like to be able to specify the box and whisker source data and wonder if there is ANY way in sgplot to do this?  

[Quentin]

I don't see it in SGPLOT.   But it's available in GTL, so you could write the template then use SGRENDER to make the plot.  https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/grstatgraph/p1db7ll5bzyo4nn1pv31g04etput.htm

[ballardw]

You might provide some example data in the form of working data step code that want to display and a description of what to do with each value.

You can use a POLYGON statement to create a box and and the HighLow to create whiskers. But you are going to have to provide a lot of explicit values in variables.

Multiple plot statements in the same call to Proc Sgplot (or sgpanel) will overlay plots within limits

[grsanford]

I would like to plot something like the attached figure but with the ability to specifiy the parameter that determin box size, mean, and whisker min/max based on an output dataset (see attache example). 

[Rick_SAS · Accepted solution]

Yes, use PROC BOXPLOT. There is a standard format for a data set that specifies the values for the box, whiskers, and outliers.  Study this example to see the format of the BOX= data set, which can be used to create a box plot from any summary statistics:

/* SGPLOT version */
proc sgplot data=sashelp.cars;
vbox mpg_city / category=Origin;
run;

/* to use PROC BOXPLOT, sort by the categorical variable */
proc sort data=sashelp.cars out=cars(keep=Origin mpg_city);
by Origin;
run;

/* Use PROC BOXPLOT to output the values for the schematic box plot */
proc boxplot data=cars;
   plot MPG_CITY*Origin / boxstyle=schematic outbox=Box;
run;

proc print data=Box;
run;

/* create box plot from input data set */
proc boxplot box=Box;
   plot MPG_CITY*Origin / boxstyle=schematic;
run;

Here's the doc for PROC BOXPLOT and the input data set: SAS Help Center: Input Data Sets

Although I suggest PROC BOXPLOT, you can also use PROC SGPLOT. See this article: Annotate features of a schematic box plot in SGPLOT - The DO Loop (sas.com)

[grsanford]

Thank you @Rick_SAS! I ended up studying the box= dataset, formatting my data accordingly, and then using proc sgpanel as I am more familiar with manipulating the visuals in sgpanel. I think that the results turned out fantastic!

proc sgpanel data=fig1 noautolegend sganno=anno;
panelby dpt / rows=2 columns=1 novarname uniscale=column;
vbox _value_ / group=sys nomean lineattrs=(color=black) medianattrs=(color=black) whiskerattrs=(color=black) capshape=none;
refline 0 / lineattrs=(color=crimson);
rowaxis label=" " offsetmax=.1;
keylegend / title=" " position=bottom noborder;
run; 

[Quentin]

As I mentioned, the BOXPLOTPARM statement in GTL allows you to generate a boxplot from summary statistics.

So given summary statistics for two treatment groups:

data have ;
  input trt stat : $12. value ;
  cards ;
1 min    0
1 Q1     10
1 median 20
1 Q3     30
1 max    40
2 min    20
2 Q1     30
2 median 40
2 Q3     50
2 max    60
;

You can plot it with : 

proc template;
  define statgraph boxplotparm1;
    begingraph;
      layout overlay;
        boxplotparm y=value x=trt stat=stat;
      endlayout;
    endgraph;
  end;
run;
 
proc sgrender data=have template=boxplotparm1;
run;

And you get:

You can add a legend and coloring by group and all that sort of stuff.

[Ksharp]

You want this ?
https://communities.sas.com/t5/Statistical-Procedures/How-to-position-statistics-for-box-and-whisker...

[Ksharp]

I know Rick Quantin have already posted the solution. Here I just would like to show PROC SGPLOT solution to have some fun.

data have ;
  input trt stat : $12. value ;
  cards ;
1 min    0
1 Q1     10
1 median 20
1 Q3     30
1 max    40
2 min    20
2 Q1     30
2 median 40
2 Q3     50
2 max    60
;
proc transpose data=have out=want;
by trt;
var value;
id stat;
run;

proc sgplot data=want noautolegend;
highlow x=trt low=Q1 high=Q3/type=bar barwidth=0.4 fillattrs=(color=cxBBC2DC) lineattrs=(color=black);
highlow x=trt low=min high=min/type=bar barwidth=0.2 lineattrs=graphdata1 nofill;
highlow x=trt low=max high=max/type=bar barwidth=0.2 lineattrs=graphdata1 nofill;
highlow x=trt low=median high=median/type=bar barwidth=0.4 lineattrs=graphdata1 nofill;
highlow x=trt low=q3 high=max/ lineattrs=graphdata1;
highlow x=trt low=min high=q1/ lineattrs=graphdata1;

xaxis type=discrete;
yaxis label='value';
run;