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TheShark
Obsidian | Level 7

Is there a way to suppress the red kernel line when running a proc ttest? My google-fu is coming up short here.

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Rick_SAS
SAS Super FREQ

I don't think you can do that by using the TTEST syntax. I think you would have to modify the underlying template (such as Stat.TTest.Graphics.Summary2 for the two-sample test) and delete (or comment out) the DENSITYPLOT statements that create the kernel curves. For an overview and examples, see the "Template Modification" chapter in the SAS/STAT documentation.

 

Here's how you can do it for the two-sample t test:

 

/* redefine template used by PROC TTEST to define summary panel */
proc template; define statgraph Stat.TTest.Graphics.Summary2; notes "Comparative histograms with normal/kernel densities and boxplots, (two-sample)"; dynamic _Y1 _Y2 _Y _VARNAME _XLAB _SHORTXLAB _CLASS1 _CLASS2 _CLASSNAME _LOGNORMAL _OBSVAR _byline_ _bytitle_ _byfootnote_; BeginGraph; entrytitle "Distribution of " _VARNAME; layout lattice / rows=3 columns=1 columndatarange= unionall rowweights=(.4 .4 .2) shrinkfonts=true; columnaxes; columnaxis / display=(ticks tickvalues label) label =_XLAB shortlabel=_SHORTXLAB griddisplay=auto_on; endcolumnaxes; layout overlay / xaxisopts=(display=none); histogram _Y1 / binaxis=false primary=true; if ( (NOT EXISTS(_LOGNORMAL)) AND (NOT(EXISTS(_PAIRED) AND EXISTS(_RATIO)))) densityplot _Y1 / normal () name="Normal" legendlabel="Normal" lineattrs=GRAPHFIT; endif; /* densityplot _Y1 / kernel () name="Kernel" legendlabel="Kernel" lineattrs=GRAPHFIT2; */ entry _CLASS1 / autoalign=(topleft topright top); endlayout; layout overlay / xaxisopts=(display=none); histogram _Y2 / binaxis=false primary=true; if ( (NOT EXISTS(_LOGNORMAL)) AND (NOT(EXISTS(_PAIRED) AND EXISTS(_RATIO)))) densityplot _Y2 / normal () name="Normal" legendlabel="Normal" lineattrs=GRAPHFIT; endif; /* densityplot _Y2 / kernel () name="Kernel" legendlabel="Kernel" lineattrs=GRAPHFIT2; */ entry _CLASS2 / autoalign=(topleft topright top); endlayout; columnheaders; layout gridded / shrinkfonts=true; discreteLegend "Normal" "Kernel" / across=4 BackgroundColor=GraphWalls:Color Opaque=true; endlayout; endcolumnheaders; layout overlay / xaxisopts=(display=none) yaxisopts=( label=_CLASSNAME reverse=true); if (EXISTS(_LOGNORMAL)) boxplot X=CLASS Y=_Y / orient=horizontal display =(caps fill median outliers); else boxplot X=CLASS Y=_Y / orient=horizontal; endif; endlayout; columnheaders; layout gridded / shrinkfonts=true; discreteLegend "Normal" "Kernel" / across=4 BackgroundColor=GraphWalls:Color Opaque=true; endlayout; endcolumnheaders; endlayout; if (_BYTITLE_) entrytitle _BYLINE_ / textattrs=GRAPHVALUETEXT; else if (_BYFOOTNOTE_) entryfootnote halign=left _BYLINE_; endif; endif; EndGraph; end; proc ttest data=sashelp.class; class sex; var height; run; /* to restore the original template, run the following */ /* proc template; delete Stat.TTest.Graphics.Summary2 / store=sasuser.templat; run; */

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3 REPLIES 3
Rick_SAS
SAS Super FREQ

I don't think you can do that by using the TTEST syntax. I think you would have to modify the underlying template (such as Stat.TTest.Graphics.Summary2 for the two-sample test) and delete (or comment out) the DENSITYPLOT statements that create the kernel curves. For an overview and examples, see the "Template Modification" chapter in the SAS/STAT documentation.

 

Here's how you can do it for the two-sample t test:

 

/* redefine template used by PROC TTEST to define summary panel */
proc template; define statgraph Stat.TTest.Graphics.Summary2; notes "Comparative histograms with normal/kernel densities and boxplots, (two-sample)"; dynamic _Y1 _Y2 _Y _VARNAME _XLAB _SHORTXLAB _CLASS1 _CLASS2 _CLASSNAME _LOGNORMAL _OBSVAR _byline_ _bytitle_ _byfootnote_; BeginGraph; entrytitle "Distribution of " _VARNAME; layout lattice / rows=3 columns=1 columndatarange= unionall rowweights=(.4 .4 .2) shrinkfonts=true; columnaxes; columnaxis / display=(ticks tickvalues label) label =_XLAB shortlabel=_SHORTXLAB griddisplay=auto_on; endcolumnaxes; layout overlay / xaxisopts=(display=none); histogram _Y1 / binaxis=false primary=true; if ( (NOT EXISTS(_LOGNORMAL)) AND (NOT(EXISTS(_PAIRED) AND EXISTS(_RATIO)))) densityplot _Y1 / normal () name="Normal" legendlabel="Normal" lineattrs=GRAPHFIT; endif; /* densityplot _Y1 / kernel () name="Kernel" legendlabel="Kernel" lineattrs=GRAPHFIT2; */ entry _CLASS1 / autoalign=(topleft topright top); endlayout; layout overlay / xaxisopts=(display=none); histogram _Y2 / binaxis=false primary=true; if ( (NOT EXISTS(_LOGNORMAL)) AND (NOT(EXISTS(_PAIRED) AND EXISTS(_RATIO)))) densityplot _Y2 / normal () name="Normal" legendlabel="Normal" lineattrs=GRAPHFIT; endif; /* densityplot _Y2 / kernel () name="Kernel" legendlabel="Kernel" lineattrs=GRAPHFIT2; */ entry _CLASS2 / autoalign=(topleft topright top); endlayout; columnheaders; layout gridded / shrinkfonts=true; discreteLegend "Normal" "Kernel" / across=4 BackgroundColor=GraphWalls:Color Opaque=true; endlayout; endcolumnheaders; layout overlay / xaxisopts=(display=none) yaxisopts=( label=_CLASSNAME reverse=true); if (EXISTS(_LOGNORMAL)) boxplot X=CLASS Y=_Y / orient=horizontal display =(caps fill median outliers); else boxplot X=CLASS Y=_Y / orient=horizontal; endif; endlayout; columnheaders; layout gridded / shrinkfonts=true; discreteLegend "Normal" "Kernel" / across=4 BackgroundColor=GraphWalls:Color Opaque=true; endlayout; endcolumnheaders; endlayout; if (_BYTITLE_) entrytitle _BYLINE_ / textattrs=GRAPHVALUETEXT; else if (_BYFOOTNOTE_) entryfootnote halign=left _BYLINE_; endif; endif; EndGraph; end; proc ttest data=sashelp.class; class sex; var height; run; /* to restore the original template, run the following */ /* proc template; delete Stat.TTest.Graphics.Summary2 / store=sasuser.templat; run; */
TheShark
Obsidian | Level 7

Rick,

   I finally got around to running this code and it worked like a charm (I knew it would!). I appreciate your help and I'm glad you're actively on the forums and always providing great blog posts!

PeterClemmensen
Tourmaline | Level 20

I assume you are talking about the histogram produced by PROC TTEST. But I don't think so. You can of course edit the template that PROC TTEST uses, though a similar plot is probably easier to create using PROC UNIVARIATE or PROC SGPLOT.

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