Hi there,
I have the following script to plot regression models, but there are four main problems that I could not figure out using the available manuals:
1) Remove minor ticks in both axis.
2) Include the linear regression model inside the graph using three decimal cases and rename the variables, i.e., Y = a – bx (R2 = 0.003).
3) Graph frame should be thicker.
4) Size of the number of both axis should size 12pt.
I included the current output and the desired graph to ilustrate what I need.
Thank you so much for considering helping.
.
LEGEND1 value=(f=times h=12pt)
POSITION= (bottom center inside)
MODE=protect
noframe;
AXIS1 major =(h=1)
order=(0 to 3600 by 400)
LABEL=(ANGLE=360 ROTATE=0 HEIGHT=14pt font=times 'Cumulative aphid-days');
SYMBOL1 pointlabel = ("#Plot" h=2 font=times h=10pt color=black) value=none I=RL;
AXIS2 major =(h=1)
order=(0 to 1 by 0.2)
LABEL=(ANGLE=90 ROTATE=0 HEIGHT=14pt font=times 'NDVI');
SYMBOL2 color=black font=times;
PROC SORT DATA=ALLOPENP; BY DateA Place; RUN;
proc gplot data=ALLOPENP; BY DateA Place;
plot NDVI*CUMADAYTaphid/
haxis =axis1
vaxis =axis2
caxis=black
regeqn
legend=legend1;
run;quit;
1) Remove minor ticks in both axis.
axis2 minor=none;
2) Include the linear regression model inside the graph using three decimal cases and rename the variables, i.e., Y = a – bx (R2 = 0.003).
You'll probably have to calculate the values, and then stuff them into a custom text string, and annotate it onto the graph.
3) Graph frame should be thicker.
axis2 width=2
4) Size of the number of both axis should size 12pt.
axis2 value=(height=12pt)
Thank you Robert.
Considering your suggestion for question (2), I calculated the values and called them in a macro variable.
However, I have a BY statement and the macro variable saved only the last intercept and slope.
Any idea how to save the values for each DATE and PLACE? I am thinking to use each value in a custom text string onto the graph.
PROC REG DATA=ALLOPENP; BY DateA Place;
MODEL NDVI=CUMADAYTaphid;
ODS OUTPUT ParameterEstimates=estimates FitStatistics=stats;
run;
DATA reg_results; MERGE estimates stats; BY DateA Place;
if variable="CUMADAYTaphid" then call symput("slope", estimate);
if variable="Intercept" then call symput("intercept", estimate);
if Label2="R-Square" then call symput("rsquare", cValue2);
run;
You need to add in an N to your slope, so that you have multiple slope macro variables, ie
slope1 slope2 ... slopeN
DATA reg_results; MERGE estimates stats; BY DateA Place;
if variable="CUMADAYTaphid" then call symput("slope"||put(_n_,2. -l), estimate);
if variable="Intercept" then call symput("intercept"||put(_n_,2. -l), estimate);
if Label2="R-Square" then call symput("rsquare"||put(_n_,2. -l), cValue2);
run;
For putting a regression equation on each graph, have a look at the ANNOTATE facility. You can use that with BY group processing, so once you have figured out how to use it for one graph (takes a bit of work) it should be straight foward getting what you want for all the graphs.
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 16. Read more here about why you should contribute and what is in it for you!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Select SAS Training centers are offering in-person courses. View upcoming courses for: