%macro scatter (x,y, xlabel, ylabel, pearson, pval);
ods html gpath = '...';
ods graphics / reset = all width = 12in height = 6in border = off
imagename = "Scatter_&x-&y" imagefmt = png ;
proc sgscatter data = data_2015;
plot &x*&y / filledoutlinedmarkers group = type
markerfillattrs = (color = CX62C0FF)
markeroutlineattrs = (color = CX265C7F thickness = 1)
markerattrs = (symbol = circlefilled size = 15 )
/* Here i want to include two more colors */
;
title "Pearson = &pearson P-Value = &pval";
label &x = "&xlabel" &y = "&ylabel";
run;
Hi everyone,
I am trying to specify 3 different markers colors in a gscatter procedure according to a categorical variable "type" (assuming 3 values) specified in the group option. How can I use the filledoutlinedmarkers option for grouped variables in the same scatterplot?
Thanks in advance
There are two way to do this. One way is to just override the style colors using the DATACOLORS and DATACONTRASTCOLORS option:
proc sgscatter data=sashelp.class datacolors=(lightblue pink) datacontrastcolors=(blue maroon);
plot weight*height / group=sex filledoutlinedmarkers
markerattrs=(symbol=circlefilled size=10);
run;
You can also use a discrete attributes map to associate the colors to the correct group values so that you are not dependent on data order:
data markermap;
retain id "myid";
length fillcolor $ 9 markercolor $ 6;
input value $ fillcolor $ markercolor $;
cards;
F pink maroon
M lightblue blue
;
run;
proc sgscatter data=sashelp.class dattrmap=markermap;
plot weight*height / group=sex attrid=myid filledoutlinedmarkers
markerattrs=(symbol=circlefilled);
run;
Hope this helps!
Dan
There are two way to do this. One way is to just override the style colors using the DATACOLORS and DATACONTRASTCOLORS option:
proc sgscatter data=sashelp.class datacolors=(lightblue pink) datacontrastcolors=(blue maroon);
plot weight*height / group=sex filledoutlinedmarkers
markerattrs=(symbol=circlefilled size=10);
run;
You can also use a discrete attributes map to associate the colors to the correct group values so that you are not dependent on data order:
data markermap;
retain id "myid";
length fillcolor $ 9 markercolor $ 6;
input value $ fillcolor $ markercolor $;
cards;
F pink maroon
M lightblue blue
;
run;
proc sgscatter data=sashelp.class dattrmap=markermap;
plot weight*height / group=sex attrid=myid filledoutlinedmarkers
markerattrs=(symbol=circlefilled);
run;
Hope this helps!
Dan
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