Presentation is loading. Please wait.

Presentation is loading. Please wait.

Kaitlyn McConville, Rho ®, Inc. Kristen Much, Rho ®, Inc. PharmaSUG 2015 Paper #DV02.

Published byFrederica Dalton Modified over 8 years ago

Similar presentations

Presentation on theme: "Kaitlyn McConville, Rho ®, Inc. Kristen Much, Rho ®, Inc. PharmaSUG 2015 Paper #DV02."— Presentation transcript:

1 Kaitlyn McConville, Rho ®, Inc. Kristen Much, Rho ®, Inc. PharmaSUG 2015 Paper #DV02

2 2  Step 1 GTL Overview  Step 2

3 3  TMPLOUT Shortcut!

4 GTL_Code.sas 4

5 5 Scatter Plot Overlaid on Box Plot Example 1 5

6 6

7 The Motivation 7

8 The Code proc template; define statgraph scatterbox; begingraph; entrytitle "Area Under the Curve (pmol/mL) over Time by Treatment Group"; layout overlay / xaxisopts=( ) yaxisopts=( ); drawtext textattrs=(size=8pt) "Treatment Difference: &treat_auc." / ; drawtext textattrs=(size=8pt) "Time Trend: &time_auc." / ; drawtext textattrs=(size=8pt) "Treatment by Time: &trtbtime_auc." / ; drawtext textattrs=(size=8pt) "N = &n0_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p0_auc." / ; drawtext textattrs=(size=8pt) "N = &n6_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p6_auc." / ;; drawtext textattrs=(size=8pt) "N = &n12_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p12_auc." / ; drawtext textattrs=(size=8pt) "N = &n18_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p18_auc." / ; drawtext textattrs=(size=8pt) "N = &n24_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p24_auc." / ; scatterplot x=eval(0.4*rannor(57)+visitn2) y=auc / group=trt name="trt1" ; boxplot x=visitn2 y=auc / group=trt display=(caps mean median connect) connect=mean name="trt2"; mergedlegend "trt1" "trt2" / title="Treatment"; endlayout; endgraph; end; run; proc sgrender data=datasetname template=scatterbox; run; 8

9 The Code proc template; define statgraph scatterbox; begingraph; entrytitle "Area Under the Curve (pmol/mL) over Time by Treatment Group"; layout overlay / xaxisopts=( ) yaxisopts=( ); drawtext textattrs=(size=8pt) "Treatment Difference: &treat_auc." / ; drawtext textattrs=(size=8pt) "Time Trend: &time_auc." / ; drawtext textattrs=(size=8pt) "Treatment by Time: &trtbtime_auc." / ; drawtext textattrs=(size=8pt) "N = &n0_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p0_auc." / ; drawtext textattrs=(size=8pt) "N = &n6_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p6_auc." / ;; drawtext textattrs=(size=8pt) "N = &n12_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p12_auc." / ; drawtext textattrs=(size=8pt) "N = &n18_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p18_auc." / ; drawtext textattrs=(size=8pt) "N = &n24_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p24_auc." / ; scatterplot x=eval(0.4*rannor(57)+visitn2) y=auc / group=trt name="trt1" ; boxplot x=visitn2 y=auc / group=trt display=(caps mean median connect) connect=mean name="trt2"; mergedlegend "trt1" "trt2" / title="Treatment"; endlayout; endgraph; end; run; proc sgrender data=datasetname template=scatterbox; run; 9

10 The Code proc template; define statgraph scatterbox; begingraph; entrytitle "Area Under the Curve (pmol/mL) over Time by Treatment Group"; layout overlay / xaxisopts=( ) yaxisopts=( ); drawtext textattrs=(size=8pt) "Treatment Difference: &treat_auc." / ; drawtext textattrs=(size=8pt) "Time Trend: &time_auc." / ; drawtext textattrs=(size=8pt) "Treatment by Time: &trtbtime_auc." / ; drawtext textattrs=(size=8pt) "N = &n0_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p0_auc." / ; drawtext textattrs=(size=8pt) "N = &n6_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p6_auc." / ;; drawtext textattrs=(size=8pt) "N = &n12_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p12_auc." / ; drawtext textattrs=(size=8pt) "N = &n18_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p18_auc." / ; drawtext textattrs=(size=8pt) "N = &n24_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p24_auc." / ; scatterplot x=eval(0.4*rannor(57)+visitn2) y=auc / group=trt name="trt1" ; boxplot x=visitn2 y=auc / group=trt display=(caps mean median connect) connect=mean name="trt2"; mergedlegend "trt1" "trt2" / title="Treatment"; endlayout; endgraph; end; run; proc sgrender data=datasetname template=scatterbox; run; 10

11 11

12 The Code proc template; define statgraph scatterbox; begingraph; entrytitle "Area Under the Curve (pmol/mL) over Time by Treatment Group"; layout overlay / xaxisopts=( ) yaxisopts=( ); drawtext textattrs=(size=8pt) "Treatment Difference: &treat_auc." / ; drawtext textattrs=(size=8pt) "Time Trend: &time_auc." / ; drawtext textattrs=(size=8pt) "Treatment by Time: &trtbtime_auc." / ; drawtext textattrs=(size=8pt) "N = &n0_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p0_auc." / ; drawtext textattrs=(size=8pt) "N = &n6_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p6_auc." / ;; drawtext textattrs=(size=8pt) "N = &n12_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p12_auc." / ; drawtext textattrs=(size=8pt) "N = &n18_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p18_auc." / ; drawtext textattrs=(size=8pt) "N = &n24_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p24_auc." / ; scatterplot x=eval(0.4*rannor(57)+visitn2) y=auc / group=trt name="trt1" ; boxplot x=visitn2 y=auc / group=trt display=(caps mean median connect) connect=mean name="trt2"; mergedlegend "trt1" "trt2" / title="Treatment"; endlayout; endgraph; end; run; proc sgrender data=datasetname template=scatterbox; run; 12

13 13

14 The Code proc template; define statgraph scatterbox; begingraph; entrytitle "Area Under the Curve (pmol/mL) over Time by Treatment Group"; layout overlay / xaxisopts=( ) yaxisopts=( ); drawtext textattrs=(size=8pt) "Treatment Difference: &treat_auc." / ; drawtext textattrs=(size=8pt) "Time Trend: &time_auc." / ; drawtext textattrs=(size=8pt) "Treatment by Time: &trtbtime_auc." / ; drawtext textattrs=(size=8pt) "N = &n0_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p0_auc." / ; drawtext textattrs=(size=8pt) "N = &n6_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p6_auc." / ;; drawtext textattrs=(size=8pt) "N = &n12_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p12_auc." / ; drawtext textattrs=(size=8pt) "N = &n18_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p18_auc." / ; drawtext textattrs=(size=8pt) "N = &n24_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p24_auc." / ; scatterplot x=eval(0.4*rannor(57)+visitn2) y=auc / group=trt name="trt1" ; boxplot x=visitn2 y=auc / group=trt display=(caps mean median connect) connect=mean name="trt2"; mergedlegend "trt1" "trt2" / title="Treatment"; endlayout; endgraph; end; run; proc sgrender data=datasetname template=scatterbox; run; 14

15 15

16 The Code proc template; define statgraph scatterbox; begingraph; entrytitle "Area Under the Curve (pmol/mL) over Time by Treatment Group"; layout overlay / xaxisopts=( ) yaxisopts=( ); drawtext textattrs=(size=8pt) "Treatment Difference: &treat_auc." / ; drawtext textattrs=(size=8pt) "Time Trend: &time_auc." / ; drawtext textattrs=(size=8pt) "Treatment by Time: &trtbtime_auc." / ; drawtext textattrs=(size=8pt) "N = &n0_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p0_auc." / ; drawtext textattrs=(size=8pt) "N = &n6_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p6_auc." / ;; drawtext textattrs=(size=8pt) "N = &n12_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p12_auc." / ; drawtext textattrs=(size=8pt) "N = &n18_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p18_auc." / ; drawtext textattrs=(size=8pt) "N = &n24_auc." / ; drawtext textattrs=(size=8pt) "p-value = &p24_auc." / ; scatterplot x=eval(0.4*rannor(57)+visitn2) y=auc / group=trt name="trt1" ; boxplot x=visitn2 y=auc / group=trt display=(caps mean median connect) connect=mean name="trt2"; mergedlegend "trt1" "trt2" / title="Treatment"; endlayout; endgraph; end; run; proc sgrender data=datasetname template=scatterbox; run; 16

17 17

18 18 Multi-cell Graph with Nested Layout Lattice Example 2 18

19 19

20 The Code proc template; define statgraph mri; begingraph; entrytitle 'Baseline MRI Characteristics'; layout lattice /rows=1 columns=2 columnweights=(0.6 0.4) columngutter=.5cm; layout overlay / yaxisopts=(griddisplay=on); histogram t2vol / binaxis=false; densityplot t2vol / lineattrs=graphfit name='density' legendlabel=’Normal’; discretelegend 'density' / location=inside halign=left valign=top; layout gridded / rows=5 columns=2 opaque=true border=true autoalign=(topright); entry halign=left 'Mean'; entry halign=right "&mean"; entry halign=left 'Std.Dev'; entry halign=right "&std"; entry halign=left 'Median'; entry halign=right "&med"; entry halign=left 'Min'; entry halign=right "&min"; entry halign=left 'Max'; entry halign=right "&max"; endlayout; layout lattice / rows=2 columns=1 rowgutter=.5cm; layout overlay / yaxisopts=(griddisplay=on linearopts=(tickvaluelist=(0 3 6 9 12 15))); barchart x=gadc; endlayout; layout overlay / xaxisopts=(linearopts=(viewmax=4)); scatterplot x=t1vol y=t2vol; endlayout; endgraph; end; run; proc sgrender data=datasetname template=mri; run; 20

21 The Code proc template; define statgraph mri; begingraph; entrytitle 'Baseline MRI Characteristics'; layout lattice /rows=1 columns=2 columnweights=(0.6 0.4) columngutter=.5cm; layout overlay / yaxisopts=(griddisplay=on); histogram t2vol / binaxis=false; densityplot t2vol / lineattrs=graphfit name='density' legendlabel=’Normal’; discretelegend 'density' / location=inside halign=left valign=top; layout gridded / rows=5 columns=2 opaque=true border=true autoalign=(topright); entry halign=left 'Mean'; entry halign=right "&mean"; entry halign=left 'Std.Dev'; entry halign=right "&std"; entry halign=left 'Median'; entry halign=right "&med"; entry halign=left 'Min'; entry halign=right "&min"; entry halign=left 'Max'; entry halign=right "&max"; endlayout; layout lattice / rows=2 columns=1 rowgutter=.5cm; layout overlay / yaxisopts=(griddisplay=on linearopts=(tickvaluelist=(0 3 6 9 12 15))); barchart x=gadc; endlayout; layout overlay / xaxisopts=(linearopts=(viewmax=4)); scatterplot x=t1vol y=t2vol; endlayout; endgraph; end; run; proc sgrender data=datasetname template=mri; run; 21

22 The Code proc template; define statgraph mri; begingraph; entrytitle 'Baseline MRI Characteristics'; layout lattice /rows=1 columns=2 columnweights=(0.6 0.4) columngutter=.5cm; layout overlay / yaxisopts=(griddisplay=on); histogram t2vol / binaxis=false; densityplot t2vol / lineattrs=graphfit name='density' legendlabel=’Normal’; discretelegend 'density' / location=inside halign=left valign=top; layout gridded / rows=5 columns=2 opaque=true border=true autoalign=(topright); entry halign=left 'Mean'; entry halign=right "&mean"; entry halign=left 'Std.Dev'; entry halign=right "&std"; entry halign=left 'Median'; entry halign=right "&med"; entry halign=left 'Min'; entry halign=right "&min"; entry halign=left 'Max'; entry halign=right "&max"; endlayout; layout lattice / rows=2 columns=1 rowgutter=.5cm; layout overlay / yaxisopts=(griddisplay=on linearopts=(tickvaluelist=(0 3 6 9 12 15))); barchart x=gadc; endlayout; layout overlay / xaxisopts=(linearopts=(viewmax=4)); scatterplot x=t1vol y=t2vol; endlayout; endgraph; end; run; proc sgrender data=datasetname template=mri; run; 22

23 23

24 The Code proc template; define statgraph mri; begingraph; entrytitle 'Baseline MRI Characteristics'; layout lattice /rows=1 columns=2 columnweights=(0.6 0.4) columngutter=.5cm; layout overlay / yaxisopts=(griddisplay=on); histogram t2vol / binaxis=false; densityplot t2vol / lineattrs=graphfit name='density' legendlabel=’Normal’; discretelegend 'density' / location=inside halign=left valign=top; layout gridded / rows=5 columns=2 opaque=true border=true autoalign=(topright); entry halign=left 'Mean'; entry halign=right "&mean"; entry halign=left 'Std.Dev'; entry halign=right "&std"; entry halign=left 'Median'; entry halign=right "&med"; entry halign=left 'Min'; entry halign=right "&min"; entry halign=left 'Max'; entry halign=right "&max"; endlayout; layout lattice / rows=2 columns=1 rowgutter=.5cm; layout overlay / yaxisopts=(griddisplay=on linearopts=(tickvaluelist=(0 3 6 9 12 15))); barchart x=gadc; endlayout; layout overlay / xaxisopts=(linearopts=(viewmax=4)); scatterplot x=t1vol y=t2vol; endlayout; endgraph; end; run; proc sgrender data=datasetname template=mri; run; 24

25 25

26 The Code proc template; define statgraph mri; begingraph; entrytitle 'Baseline MRI Characteristics'; layout lattice /rows=1 columns=2 columnweights=(0.6 0.4) columngutter=.5cm; layout overlay / yaxisopts=(griddisplay=on); histogram t2vol / binaxis=false; densityplot t2vol / lineattrs=graphfit name='density' legendlabel=’Normal’; discretelegend 'density' / location=inside halign=left valign=top; layout gridded / rows=5 columns=2 opaque=true border=true autoalign=(topright); entry halign=left 'Mean'; entry halign=right "&mean"; entry halign=left 'Std.Dev'; entry halign=right "&std"; entry halign=left 'Median'; entry halign=right "&med"; entry halign=left 'Min'; entry halign=right "&min"; entry halign=left 'Max'; entry halign=right "&max"; endlayout; layout lattice / rows=2 columns=1 rowgutter=.5cm; layout overlay / yaxisopts=(griddisplay=on linearopts=(tickvaluelist=(0 3 6 9 12 15))); barchart x=gadc; endlayout; layout overlay / xaxisopts=(linearopts=(viewmax=4)); scatterplot x=t1vol y=t2vol; endlayout; endgraph; end; run; proc sgrender data=datasetname template=mri; run; 26

27 The Code proc template; define statgraph mri; begingraph; entrytitle 'Baseline MRI Characteristics'; layout lattice /rows=1 columns=2 columnweights=(0.6 0.4) columngutter=.5cm; layout overlay / yaxisopts=(griddisplay=on); histogram t2vol / binaxis=false; densityplot t2vol / lineattrs=graphfit name='density' legendlabel=’Normal’; discretelegend 'density' / location=inside halign=left valign=top; layout gridded / rows=5 columns=2 opaque=true border=true autoalign=(topright); entry halign=left 'Mean'; entry halign=right "&mean"; entry halign=left 'Std.Dev'; entry halign=right "&std"; entry halign=left 'Median'; entry halign=right "&med"; entry halign=left 'Min'; entry halign=right "&min"; entry halign=left 'Max'; entry halign=right "&max"; endlayout; layout lattice / rows=2 columns=1 rowgutter=.5cm; layout overlay / yaxisopts=(griddisplay=on linearopts=(tickvaluelist=(0 3 6 9 12 15))); barchart x=gadc; endlayout; layout overlay / xaxisopts=(linearopts=(viewmax=4)); scatterplot x=t1vol y=t2vol; endlayout; endgraph; end; run; proc sgrender data=datasetname template=mri; run; 27

28 28

29 The Code proc template; define statgraph mri; begingraph; entrytitle 'Baseline MRI Characteristics'; layout lattice /rows=1 columns=2 columnweights=(0.6 0.4) columngutter=.5cm; layout overlay / yaxisopts=(griddisplay=on); histogram t2vol / binaxis=false; densityplot t2vol / lineattrs=graphfit name='density' legendlabel=’Normal’; discretelegend 'density' / location=inside halign=left valign=top; layout gridded / rows=5 columns=2 opaque=true border=true autoalign=(topright); entry halign=left 'Mean'; entry halign=right "&mean"; entry halign=left 'Std.Dev'; entry halign=right "&std"; entry halign=left 'Median'; entry halign=right "&med"; entry halign=left 'Min'; entry halign=right "&min"; entry halign=left 'Max'; entry halign=right "&max"; endlayout; layout lattice / rows=2 columns=1 rowgutter=.5cm; layout overlay / yaxisopts=(griddisplay=on linearopts=(tickvaluelist=(0 3 6 9 12 15))); barchart x=gadc; endlayout; layout overlay / xaxisopts=(linearopts=(viewmax=4)); scatterplot x=t1vol y=t2vol; endlayout; endgraph; end; run; proc sgrender data=datasetname template=mri; run; 29

30 The Code proc template; define statgraph mri; begingraph; entrytitle 'Baseline MRI Characteristics'; layout lattice /rows=1 columns=2 columnweights=(0.6 0.4) columngutter=.5cm; layout overlay / yaxisopts=(griddisplay=on); histogram t2vol / binaxis=false; densityplot t2vol / lineattrs=graphfit name='density' legendlabel=’Normal’; discretelegend 'density' / location=inside halign=left valign=top; layout gridded / rows=5 columns=2 opaque=true border=true autoalign=(topright); entry halign=left 'Mean'; entry halign=right "&mean"; entry halign=left 'Std.Dev'; entry halign=right "&std"; entry halign=left 'Median'; entry halign=right "&med"; entry halign=left 'Min'; entry halign=right "&min"; entry halign=left 'Max'; entry halign=right "&max"; endlayout; layout lattice / rows=2 columns=1 rowgutter=.5cm; layout overlay / yaxisopts=(griddisplay=on linearopts=(tickvaluelist=(0 3 6 9 12 15))); barchart x=gadc; endlayout; layout overlay / xaxisopts=(linearopts=(viewmax=4)); scatterplot x=t1vol y=t2vol; endlayout; endgraph; end; run; proc sgrender data=datasetname template=mri; run; 30

31 31

32 32 Multi-cell Paneled Series Plots Example 3 32

33 33

34 The Code proc template; define statgraph twobyone; begingraph / designwidth=11in designheight=8.5in; layout gridded / rows=2 columns=1 rowgutter=15; drawtext textattrs=(size=30pt) "A" / ; drawtext textattrs=(size=30pt) "B" / ; layout datapanel classvars=(id) / ; layout prototype; seriesplot x=visit0 y=cpep / legendlabel="Baseline Visit" name="y0“ lineattrs=( ); seriesplot x=visit6 y=cpep / legendlabel="Month 6 Visit" name="y1" lineattrs=( ); seriesplot x=visit12 y=cpep / legendlabel="Month 12 Visit" name="y2" lineattrs=( ); seriesplot x=visit18 y=cpep / legendlabel="Month 18 Visit" name="y3" lineattrs=( ); seriesplot x=visit24 y=cpep / legendlabel="Month 24 Visit" name="y4" lineattrs=( ); endlayout; layout datapanel classvars=(id) / ; layout prototype; seriesplot x=visit0 y=glucose / lineattrs=( ); seriesplot x=visit6 y=glucose / lineattrs=( ); seriesplot x=visit22 y=glucose / lineattrs=( ); seriesplot x=visit18 y=glucose / lineattrs=( ); seriesplot x=visit24 y=glucose / lineattrs=( ); endlayout; discretelegend "y0" "y1" "y2" "y3" "y4" / across=5 border=true valueattrs=(size=10pt); endlayout; endgraph; end; run; proc sgrender data=datasetname template=twobyone; run; 34

35 The Code proc template; define statgraph twobyone; begingraph / designwidth=11in designheight=8.5in; layout gridded / rows=2 columns=1 rowgutter=15; drawtext textattrs=(size=30pt) "A" / ; drawtext textattrs=(size=30pt) "B" / ; layout datapanel classvars=(id) / ; layout prototype; seriesplot x=visit0 y=cpep / legendlabel="Baseline Visit" name="y0“ lineattrs=( ); seriesplot x=visit6 y=cpep / legendlabel="Month 6 Visit" name="y1" lineattrs=( ); seriesplot x=visit12 y=cpep / legendlabel="Month 12 Visit" name="y2" lineattrs=( ); seriesplot x=visit18 y=cpep / legendlabel="Month 18 Visit" name="y3" lineattrs=( ); seriesplot x=visit24 y=cpep / legendlabel="Month 24 Visit" name="y4" lineattrs=( ); endlayout; layout datapanel classvars=(id) / ; layout prototype; seriesplot x=visit0 y=glucose / lineattrs=( ); seriesplot x=visit6 y=glucose / lineattrs=( ); seriesplot x=visit22 y=glucose / lineattrs=( ); seriesplot x=visit18 y=glucose / lineattrs=( ); seriesplot x=visit24 y=glucose / lineattrs=( ); endlayout; discretelegend "y0" "y1" "y2" "y3" "y4" / across=5 border=true valueattrs=(size=10pt); endlayout; endgraph; end; run; proc sgrender data=datasetname template=twobyone; run; 35

36 36

37 The Code proc template; define statgraph twobyone; begingraph / designwidth=11in designheight=8.5in; layout gridded / rows=2 columns=1 rowgutter=15; drawtext textattrs=(size=30pt) "A" / ; drawtext textattrs=(size=30pt) "B" / ; layout datapanel classvars=(id) / ; layout prototype; seriesplot x=visit0 y=cpep / legendlabel="Baseline Visit" name="y0“ lineattrs=( ); seriesplot x=visit6 y=cpep / legendlabel="Month 6 Visit" name="y1" lineattrs=( ); seriesplot x=visit12 y=cpep / legendlabel="Month 12 Visit" name="y2" lineattrs=( ); seriesplot x=visit18 y=cpep / legendlabel="Month 18 Visit" name="y3" lineattrs=( ); seriesplot x=visit24 y=cpep / legendlabel="Month 24 Visit" name="y4" lineattrs=( ); endlayout; layout datapanel classvars=(id) / ; layout prototype; seriesplot x=visit0 y=glucose / lineattrs=( ); seriesplot x=visit6 y=glucose / lineattrs=( ); seriesplot x=visit22 y=glucose / lineattrs=( ); seriesplot x=visit18 y=glucose / lineattrs=( ); seriesplot x=visit24 y=glucose / lineattrs=( ); endlayout; discretelegend "y0" "y1" "y2" "y3" "y4" / across=5 border=true valueattrs=(size=10pt); endlayout; endgraph; end; run; proc sgrender data=datasetname template=twobyone; run; 37

38 38

39 The Code proc template; define statgraph twobyone; begingraph / designwidth=11in designheight=8.5in; layout gridded / rows=2 columns=1 rowgutter=15; drawtext textattrs=(size=30pt) "A" / ; drawtext textattrs=(size=30pt) "B" / ; layout datapanel classvars=(id) / ; layout prototype; seriesplot x=visit0 y=cpep / legendlabel="Baseline Visit" name="y0“ lineattrs=( ); seriesplot x=visit6 y=cpep / legendlabel="Month 6 Visit" name="y1" lineattrs=( ); seriesplot x=visit12 y=cpep / legendlabel="Month 12 Visit" name="y2" lineattrs=( ); seriesplot x=visit18 y=cpep / legendlabel="Month 18 Visit" name="y3" lineattrs=( ); seriesplot x=visit24 y=cpep / legendlabel="Month 24 Visit" name="y4" lineattrs=( ); endlayout; layout datapanel classvars=(id) / ; layout prototype; seriesplot x=visit0 y=glucose / lineattrs=( ); seriesplot x=visit6 y=glucose / lineattrs=( ); seriesplot x=visit22 y=glucose / lineattrs=( ); seriesplot x=visit18 y=glucose / lineattrs=( ); seriesplot x=visit24 y=glucose / lineattrs=( ); endlayout; discretelegend "y0" "y1" "y2" "y3" "y4" / across=5 border=true valueattrs=(size=10pt); endlayout; endgraph; end; run; proc sgrender data=datasetname template=twobyone; run; 39

40 40

41 Conclusion 41

42 Name: Kaitlyn McConville Enterprise: Rho, Inc. Address: 6330 Quadrangle Dr. City, State ZIP: Chapel Hill, NC 27517 Work Phone: 919-408-8000 Fax: 919-408-0999 E-mail: kaitlyn_mcconville@rhoworld.com 42 Name: Kristen Much Enterprise: Rho, Inc. Address: 6330 Quadrangle Dr. City, State ZIP: Chapel Hill, NC 27514 Work Phone: 919-408-8000 Fax: 919-408-0999 E-mail: kristen_much@rhoworld.com

Download ppt "Kaitlyn McConville, Rho ®, Inc. Kristen Much, Rho ®, Inc. PharmaSUG 2015 Paper #DV02."

Similar presentations

Summary Statistics/Simple Graphs in SAS/EXCEL/JMP.

Summary Statistics/Simple Graphs in SAS/EXCEL/JMP.
Taking the Leap - Using ODS Statistical Graphics for Data Visualization Wei Cheng, Isis Pharmaceuticals, Inc.

Taking the Leap - Using ODS Statistical Graphics for Data Visualization Wei Cheng, Isis Pharmaceuticals, Inc.
Converting SAS/GRAPH to ODS Graphics

Converting SAS/GRAPH to ODS Graphics
Stem and leaf diagrams and box plots Statistics. Draw a stem and leaf diagram using the set of data below. 148147145103113 1359387111110 119107113110104.

Stem and leaf diagrams and box plots Statistics. Draw a stem and leaf diagram using the set of data below
Start up Excel. Notice that each row has a number, and each column has a letter. Click in A1 (column A, row 1), and type in a title for your data.

Start up Excel. Notice that each row has a number, and each column has a letter. Click in A1 (column A, row 1), and type in a title for your data.
Statistics for clinicians l Biostatistics course by Kevin E. Kip, Ph.D., FAHA Professor and Executive Director, Research Center University of South Florida,

Statistics for clinicians l Biostatistics course by Kevin E. Kip, Ph.D., FAHA Professor and Executive Director, Research Center University of South Florida,
Increase Pattern Detection in SAS® GTL with New Categorical Histograms and Color Coded Asymmetric Violin Plots Perry Watts, Stakana Analytics,

Increase Pattern Detection in SAS® GTL with New Categorical Histograms and Color Coded Asymmetric Violin Plots Perry Watts, Stakana Analytics,
1 Graphics – Part 3 HRP223 – 2013 December 2, 2013 Copyright © 1999-2013 Leland Stanford Junior University. All rights reserved. Warning: This presentation.

1 Graphics – Part 3 HRP223 – 2013 December 2, 2013 Copyright © Leland Stanford Junior University. All rights reserved. Warning: This presentation.
Excel Graphing Tutorial Lauren Ottaviano Fall 2012.

Excel Graphing Tutorial Lauren Ottaviano Fall 2012.
1 Graphics in EG and R HRP223 – 2009 November, 2010 Copyright © 1999-2010 Leland Stanford Junior University. All rights reserved. Warning: This presentation.

1 Graphics in EG and R HRP223 – 2009 November, 2010 Copyright © Leland Stanford Junior University. All rights reserved. Warning: This presentation.
Graphics in EG and R HRP223 – 2009 November, 2010

Graphics in EG and R HRP223 – 2009 November, 2010
1 Is Spatial Memory Age-Related? There is a commonly-held belief that it is more difficult for the Elderly than for the Young to learn and remember new.

1 Is Spatial Memory Age-Related? There is a commonly-held belief that it is more difficult for the Elderly than for the Young to learn and remember new.
Graph these numbers. 1. Highlight the rows you need for your axes 2. Click on the chart wizard icon.

Graph these numbers. 1. Highlight the rows you need for your axes 2. Click on the chart wizard icon.
Data Model Examples 9-11-081 USER SPECIFICATIONS.

Data Model Examples USER SPECIFICATIONS.
Copyright © 2007, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks.

Copyright © 2007, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks.
1 Graphics – Part 2 HRP223 – 2013 November 20, 2013 Copyright © 1999-2013 Leland Stanford Junior University. All rights reserved. Warning: This presentation.

1 Graphics – Part 2 HRP223 – 2013 November 20, 2013 Copyright © Leland Stanford Junior University. All rights reserved. Warning: This presentation.
1 Graphics HRP223 – 2013 November 18, 2013 Copyright © 1999-2013 Leland Stanford Junior University. All rights reserved. Warning: This presentation is.

1 Graphics HRP223 – 2013 November 18, 2013 Copyright © Leland Stanford Junior University. All rights reserved. Warning: This presentation is.
Week 3 Topic - Descriptive Procedures Program 3 in course notes Cody & Smith (Chapter 2)

Week 3 Topic - Descriptive Procedures Program 3 in course notes Cody & Smith (Chapter 2)
Copyright © 2008, SAS Institute Inc. All rights reserved. SAS Graphics on ODS v9.2 Performance Enhancing Steroids Daniel O’Connor Systems Developer, SAS.

Copyright © 2008, SAS Institute Inc. All rights reserved. SAS Graphics on ODS v9.2 Performance Enhancing Steroids Daniel O’Connor Systems Developer, SAS.
Graphical Reporting of Clinical Trial Data with SAS ODS Graphics

Graphical Reporting of Clinical Trial Data with SAS ODS Graphics

Similar presentations

Ads by Google