About Jay54

Jay54 · ‎04-28-2022

If you get log message about output size and Java VM Memory, you can try running SAS with increased Java memory. https://documentation.sas.com/doc/en/vdmmlcdc/8.1/lesysoptsref/n0yykr3ywhym1cn12vkjnvurxzcq.htm -jreoptions \(-Xmx512m -Xms256m\)

Jay54 · ‎02-26-2022

Some values may be thinned. Try setting FITPOLICY=none. Split and wrap works for discrete axis only. See FITPOLICY for XAXIS: https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/grstatproc/p07m2vpyq75fgan14m6g5pphnwlr.htm

Jay54 · ‎02-24-2022

You may need to place the legend with a blank title, and add the title using SGAnnotate. See Dan's paper: https://support.sas.com/resources/papers/proceedings11/277-2011.pdf

Jay54 · ‎02-23-2022

Dan has already provided a good solution. The following is just an FYI... The underlying AXISTABLE statement in GTL provides an option to justify the values in the table. See: https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/grstatgraph/p0v5nj3waz75w4n1s2y70echq6im.htm You could use the SGPLOT TMPLOUT option to get the generated GTL code, and then make the above change to the AXISTABLE statement. Note: This may allow you to draw the values justified left. However, this could have other side effects on the other side of the axis.

Jay54 · ‎02-18-2022

I fully agree with Robert (GraphGuy) about the use of 3D plots to display data. If your data is really 3D, with X, Y and Z variables, then it does make sense to view it in a 3D view. You are really trying to see the shape of the data and not the actual values. The macro does this but adding axis details will only clutter it. But, if data is 2D, one should avoid trying to view it in 3D just for the "glitz" value. See example: https://blogs.sas.com/content/graphicallyspeaking/2018/04/24/3d-waterfall-chart-redux/

Jay54 · ‎02-15-2022

Very nice, TC. Happy to learn the heart shape could be built using three simple primitives.

Jay54 · ‎02-15-2022

I haven't tried this, but the doc says you can overlay box plots as long as you have same category variable. So, I suggest you can have two analysis variable columns A & B. A should have analysis data missing for last category, while B should have data only for the last category. Then, use VBOX with connect with A and a separate VBOX for B. Both should have the same category variable. This will avoid the need to compute the mean values. If this does not work, you can use the methods described in this blog article to overlay custom connect line. https://blogs.sas.com/content/graphicallyspeaking/2015/12/04/boxplot-with-connect/ https://blogs.sas.com/content/graphicallyspeaking/2015/12/06/boxplot-with-connect-using-annotate/

Jay54 · ‎02-10-2022

Looks like a use case for the BLOCK plot. See the last example in this blog. https://blogs.sas.com/content/graphicallyspeaking/2014/04/14/the-block-plot/ This is now also available in SGPLOT. https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/grstatproc/n0ikbvq5nwz6ezn1czzi40aw048o.htm

Jay54 · ‎01-29-2022

While setting _thk=15, may work for now, this may fail if the data changes. Better to use the USEDISCRETETHICKNESS=TRUE DISCRETELINETHICKNESS=1 in the REFERENCELINE statement. See previous link provided. As I said before, the vertical white lines are NOT gridlines. This is the gap between the columns of your layout. The horizontal gray reference lines do not draw in the column gap. I don't think there is an easy way to fix this by any options.

Jay54 · ‎01-28-2022

The apparent white horizontal gaps are due to the reference line of thickness=_thk(12) does not fill the space. If you have 9.4M5, you can use the USEDISCRETETHICKNESS=TRUE and DISCRETELINETHICKNESS=1 to fill the space fully. See: https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/grstatgraph/p03jtr6n56wu4ln1k77szqw1fjkc.htm The vertical lines white lines are the gaps between the columns that show because the grey color reflines do not draw across the column borders.

Jay54 · ‎12-20-2021

Or, you can use SCATTERPLOT option DATALABELPOSITION=CENTER. https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/grstatgraph/p08qhdljvzthmnn1vkbule00ad6r.htm#n0p8nam0wh029an19gvbz2x9rdd5b

Jay54 · ‎12-09-2021

SGPANEL is the right way to create this graph with cluster groups and stacked groups among the ODS graphics tools. SGPLOT does not handle this case easily. One could try to force using SGPLOT using multiple VBAR statements with DISCRETEOFFSETs, but it easier with SGPANEL (or GCHART).

Jay54 · ‎10-05-2021

You are using a SCATTER plot overlay to display the totpercent values. This causes the overlap on the values on the top of the bar. This is also causing the extra space at the left near the y-axis. You can use the DATALABEL=totpercent option on the HBARPARM itself and drop the SCATTER statement.

Jay54 · ‎09-28-2021

Is your x variable discrete? Try JITTER=UNIFORM option on the SCATTER plot statement. https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/grstatproc/p1lcbd3lhs3t3bn1jk6d8sjt2yqx.htm#n1f5jayy00jt3cn1e7z8mjo5rl0m

Jay54 · ‎09-17-2021

In that case I suggest you use GROUP=USUBJID, LINECOLORGROUP=RGROUP and MARKERCOLORGROUP=RGROUP. You may be able to use the discreteattrvar RGROUP1 for these two options. You may also need to add the TYPE=LINECOLOR to the Discretelegend. Also, you may be able to use SGPLOT for this graph with the attrmaps defined as data sets using GROUPLC and LCATTRID.

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