Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Make your likes visible on Facebook?

Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.

No, thanks

SAS Graphics for 9.2

A SAS Graphics course which covers the procedures SGPLOT, SGPANEL, SGSCATTER and SGRENDER, and gives a basic introduction to GTL.
by

Kriss Harris

on 4 August 2011

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of SAS Graphics for 9.2

SAS 9.2 Graphics Course
Kriss Harris
italjet125@yahoo.com
SGSCATTER
GTL
SGRENDER
SGPLOT
SGPANEL
proc sgplot data = boxplots;
vbox results / category = Treatment;
run;
Scatterplot
Boxplot
ods html style = statistical;
proc sgplot data = data;
scatter x = B y = A;
run;
hbox
Bar Chart
proc sgplot data = boxplots;
vbar Treatment / response = results STAT = MEAN ;
run;
hbar
The other STAT options that are FREQ and SUM, SUM is the default
Quiz 1
STATEMENT X=var Y=var / options;
STATEMENT response-var / options;
STATEMENT category-var / options;
scatter
vbox
vbar
Means and Confidence Intervals
(for one factor)
proc sgplot data = boxplots;
vline Treatment / response = results STAT = MEAN LIMITSTAT = CLM markers;
run;
(for more complicated models)
Means and Confidence Intervals
ods output lsmeans = lsmeans;
proc mixed data = boxplots;
class treatment day;
model results = treatment day;
lsmeans treatment / cl;
run;
proc sgplot data = lsmeans;
scatter x = treatment y = estimate / YERRORLOWER = lower YERRORUPPER = upper;
series x = treatment y = estimate;
run;
Fit the Model
Plot the graph
Scatterplot with different markers for each group
proc sgplot data = merged;
scatter x = bodyweight y = Results / group = treatment;
run;
Used to change the size,
symbol and color of the
marker.
Scatterplot with regression slopes
for each treatment group
proc sgplot data = merged;
reg x = bodyweight y = Results / group = treatment;
run;
Scatterplot with different markers for each group
proc sgplot data = merged;
scatter x = bodyweight y = Results / group = treatment;
reg x = bodyweight y = Results / nomarkers;
run;
prevents
more markers
from being
produced
Quiz 2
Using noautolegend
SGPLOT Concepts
Basic Plots
Distribution Plots
Categorisation Plots
Fit and Confidence
Step, Band, Needle Plots
Scatter, Series
Regression
Bar Charts, Line Charts
Box plots, Histograms, and Normal
and Kernel density estimates
Dot Plots
SGPLOT Overlay Compatibility
Fit and Confidence
Basic Pl ts
Distribution Plot
Categorisation Plot
PLOTS
OPTIONS
proc sgplot data = merged noautolegend;
reg x = bodyweight y = Results / group = treatment;
run;
Inset Statement
proc sgplot data = merged noautolegend;
reg x = bodyweight y = Results / group = treatment;
inset "Protocol: YYY0001112" "Date: 26.08.09" / position = bottomright BORDER;
run;
Other position options are
Bottom, Bottomleft, Left, Right, Top,
Topleft and Topright.
Using separate strings places the
New string on a separate line.
Axis labels
proc sgplot data = scatter;
yaxis label = "Treatment A Response";
xaxis label = "Treatment B Response";
scatter x = B y = A;
run;
Other options for xaxis and yaxis statements include:
values – specify values or intervals:
i.e. values=(0 to 20 by 2) values=(1 3 10 to 50 by 5) values=(2 3 4 5 6)
min – specify minimum value of axis – i.e. min=0
max – specify maximum value of axis – i.e. max=100
Changing Marker Properties
proc sgplot data = scatter;
scatter x = B y = A / MARKERATTRS = (color = red size = 12 symbol = circlefilled);
yaxis label = "Treatment A Response";
xaxis label = "Treatment B Response";
run;
Marker Symbols
Adding a Reference Line
proc sgplot data = scatter;
scatter x = B y = A / MARKERATTRS = (size = 12 symbol = circlefilled color = red);
refline 100 / axis = y LINEATTRS = (color = black) ;
yaxis label = "Treatment A Response";
xaxis label = "Treatment B Response";
run;
Lineattrs for pattern
Quiz 3
ADVANCED OPTIONS
Changing Axis Font Size
proc template;
define style MyStyleDefault;
parent=Styles.statistical;
style GraphLabelText from GraphLabelText / fontsize = 14px;
style GraphValueText from GraphValueText / fontsize = 12px;
end;
run;
PROC Template
ods html style = MyStyleDefault;
proc sgplot data = scatter;
yaxis label = "Treatment A Response";
xaxis label = "Treatment B Response";
scatter x = B y = A;
run;
Controlling Symbol and Line Options
for each group %modstyle macro
http://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#statug_odsgraph_sect056.htm
Reference
%modstyle(
parent=statistical,
name=plotmod,
type=CLM,
colors=black blue,
fillcolors=colors,
markers=diamondfilled starfilled
);
Cycles through colors, line, and markers simultaneously
type = LMbyC
type = CbyLM
Adding Jitter
data boxplots_jittered;
set boxplots;
if treatment = "Treatment A" then trtcode = 10;
else if treatment = "Treatment B" then trtcode = 20;
treatment_jittered = trtcode + ranuni(10) - 0.5;
label treatment_jittered = "Treatment";
run;

proc format;
value trtfmt 9.5 - 11.5 = "Treatment A"
19.5 - 20.5 = "Treatment B"
other = " ";
run;
Adding Jitter
Adding Jitter
proc sgplot data = boxplots_jittered;
scatter y = results x = treatment_jittered / group = treatment_jittered ;
format treatment_jittered trtfmt. ;
xaxis label = "Treatment" values = (10,20)
valueshint offsetmax = 0.1 offsetmin = 0.1;
run;
Minimum and Maximum axis values are determined
independently of the values you specify in the
VALUES= option.

Useful as some of the jittered values will be less
than 10 and more than 20.
Leaving some room between the
left hand and right hand side of the graph
Making a new numerical variable for treatment
Using the Format Statement to recode the
Treatments so that the character value is
displayed on the axis
Adding a value between 0 and 1 to each
of the treatment codes,
and then subtracting 0.5 so the tick mark
is in the middle
SGPANEL Concepts
The SGPANEL procedure has a required PANELBY statement that is used to define the classifier variables for the panel. This statement must be specified before any plot, axis, or legend statement or else an error occurs.

The SGPANEL procedure creates the same plots as the SGPLOT procedure, the only difference is that you can panel them in SGPANEL.

The SGPANEL and SGPLOT procedures contain the same statements except that there is a PANELBY statement in Proc SGPANEL and there are COLAXIS and ROWAXIS statements instead of XAXIS and YAXIS.
Boxplot panelled by day
proc sgpanel data = boxplots;
panelby day;
vbox results / category = Treatment;
run;
proc sgpanel data = boxplots;
panelby day / columns = 1 novarname;
vbox results / category = Treatment;
run;
Boxplot Panelled by day
for 6 days
proc sgpanel data = boxplots_all;
panelby day / novarname;
vbox results / category = Treatment;
run;
proc sgpanel data = boxplots_all;
panelby day / novarname uniscale = column;
vbox results / category = Treatment;
run;
proc sgpanel data = boxplots_all;
panelby day / novarname uniscale = column spacing = 10;
vbox results / category = Treatment;
run;
Both rows have the
same scales, and the
second row has values all
above 100.
Only makes the rows have a
scale that fits each cell within that
row.
Specifies the number of pixels
between the rows and columns
in the panel.
Quiz 4
proc sgpanel data = boxplots_all;
panelby day / options??? ;
vbox results / category = Treatment;
run;
Questions
?
Proc SGPLOT and SGPANEL
similarities
Questions
?
Proc SGSCATTER
Useful for having a panel of plots that have at least one independent axis
PLOT Statement - 2 independent axis i.e. x and y
COMPARE Statement - 1 independent axis i.e. just x
Useful for producing a matrix of plots
MATRIX Statement
Indepedent x and y axis
PLOT Statement
proc sgscatter data=sashelp.cars;
plot mpg_highway*weight msrp*horsepower;
run;
Different variables
Different x variables
COMPARE statement
proc sgscatter data=sashelp.cars;
compare y=mpg_highway x=(weight enginesize horsepower) / group = type;
run;
Different x variables
Matrix Plot
MATRIX statement
proc sgscatter data=sashelp.iris
(where=(species eq 'Virginica'));
matrix petallength petalwidth sepallength
/ ellipse=(type=mean)
diagonal=(histogram kernel);
run;
3 Variables
Therefore produces 3 * 3 matrix plot
Quiz 5
MATRIX?
PLOT?
COMPARE?
Questions
?
Graph Template Language
The SAS/GRAPH Graph Template Language (GTL) is an extension to the Output Delivery System (ODS) that enables you to create sophisticated analytical graphics that are not available from traditional SAS/GRAPH procedure statements.

The GTL templates are defined with PROC TEMPLATE.

The GTL templates are rendered using the SGRENDER procedure, which specifies a data source that contains appropriate data values and the template to use for rendering the graph.

GTL Reference link: http://support.sas.com/documentation/cdl/en/grstatgraph/63878/HTML/default/viewer.htm#/documentation/cdl/en/grstatgraph/63878/HTML/default/p0891gx3y0z8xqn1k9ijhv5xughi.htm
LAYOUTS
Going to go through 3 different layouts
Overlay
Lattice
Gridded
Obtaining GTL Code
(for Boxplot example)
proc sgplot data = boxplots tmplout = "C:\Template_for_boxplots.sas" ;
vbox results / category = Treatment;
run;
Obtained GTL Code
For Boxplot
For Scatterplot
Looks daunting at
first but the only real
difference is within
the layout statement
proc template;
define statgraph sgplot;
dynamic _ticklist_;
begingraph;
layout overlay / xaxisopts=(type=Discrete discreteOpts=(tickValueList=_ticklist_));
BoxPlot X=Treatment Y=Results / SortOrder=Internal primary=true LegendLabel="Results" NAME="VBOX";
;
endlayout;
endgraph;
end;
run;
proc template;
define statgraph sgplot;
begingraph;
layout overlay;
ScatterPlot X=Treatment Y=Results / primary=true LegendLabel="Results" NAME="SCATTER";
;
endlayout;
endgraph;
end;
run;
Code is nested
similar to HTML
Why is GTL Overlay useful?
proc template;
define statgraph sgplot;
dynamic _ticklist_;
begingraph;
layout overlay / xaxisopts=(type=Discrete discreteOpts=(tickValueList=_ticklist_));
BoxPlot X=Treatment Y=Results / SortOrder=Internal primary=true LegendLabel="Results" NAME="VBOX";
ScatterPlot X=Treatment Y=Results / primary=true LegendLabel="Results" NAME="SCATTER";
;
endlayout;
endgraph;
end;
run;
proc sgrender data=boxplots template=sgplot;
run;
SGRENDER
plots the template
In SGPLOT you cannot
overlay a boxplot with any
other plot but you can in GTL!
Lattice and Overlay Layout
You don't have to memorise the code, can output it by using tmplout in SG Procedures
proc template;
define statgraph sgmypanel;
dynamic _ticklist_;
begingraph;

layout lattice;

layout overlay /
xaxisopts=(type=Discrete discreteOpts=(tickValueList=_ticklist_) LABEL = "Treatment") yaxisopts = (LABEL = "Results");
BoxPlot X=Treatment Y=Results / SortOrder=Internal primary=true LegendLabel="Results" NAME="VBOX";
endlayout;

layout overlay;
ScatterPlot X=Treatment Y=Results / primary=true LegendLabel="Results"
NAME="SCATTER";
endlayout;

endlayout;

endgraph;
end;
run;
The lattice layout is a multicell layout that combines features of gridded and overlay layouts
and offers reserved areas for additional formatting:
4 sidebars (top, bottom, left, and right) that span all rows and columns
individual row and column headings
individual cell headings
axis scaling on a per cell, per row, per column, all rows, or all columns basis
Lattice Layout
Lattice, Overlay and Gridded Layout
layout lattice / columns = 2;

layout overlay /
xaxisopts=(type=Discrete discreteOpts=(tickValueList=_ticklist_) LABEL = "Treatment"
yaxisopts = (LABEL = "Results");
BoxPlot X=Treatment Y=Results / SortOrder=Internal primary=true LegendLabel="Results"
NAME="VBOX";
endlayout;

layout overlay;
ScatterPlot X=Treatment Y=Results / primary=true LegendLabel="Results" NAME="SCATTER";

layout gridded /
columns=2 border=TRUE autoalign=(BottomLeft TopLeft TopRight);
entry "Mean of Dataset:"; entry "Mean";
entry "Std Dev of Dataset:"; entry "Std Dev";
endlayout;

endlayout;

endlayout;
Lattice
Overlay
(or gridded)
Using Dynamic Variables
Created a Dynamic Variable called VAR.
Using the statement: (after Proc Template)
Dynamic VAR;
layout gridded /
columns=2 border=TRUE autoalign=(BottomLeft TopLeft TopRight);
entry "Mean of Dataset:"; entry eval(strip(put(mean(VAR),8.2)));
entry "Std Dev of Dataset:"; entry eval(strip(put(stddev(VAR),8.2)));
endlayout;
Using EVAL to calculate the mean
and standard deviation
proc sgrender data=boxplots template=sgmypanel;
dynamic var = "Results";
run;
Rendering with
SGRENDER
Setting the dynamic variable to equal Results.
Quiz 6
The Gridded Layout
is the simplest organisation
of cells and can be used to
enter text!
Lattice layout = multicell layout
Overlayout is useful for
superimposing plots
What's the easiest way to obtain GTL Code?
Best for superimposing plots?
Best for complex multicell layouts?
Best for entering text?
Questions?
?
proc sgplot data = merged;
scatter x = bodyweight y = Results / group = treatment;
run;
proc sgplot data = merged;
reg x = bodyweight y = Results / group = treatment;
run;
proc sgplot data = merged;
scatter x = bodyweight y = Results / group = treatment;
reg x = bodyweight y = Results / nomarkers;
run;
What code?
Which words are not real plot statements?
refline
inset
set
inref
Full transcript