About ahappel

Rick_SAS · ‎07-03-2013

I think I would need to see sample data to understand what you mean. It seems like the optimization requires a vector. If you want to apply this optimization to several predator vectors that are stored in a data base, use the GLOBAL statement so that the predator vector is considered a parameter in the problem: start qfasa(y) global(predator); ... finish; do i = 1 to ncol(big_matrix); predator = big_matrix[, i]; call nlpqn(rc,xr,"qfasa",y,optn,c) ; /* solve for this column */ /* store or do something with xr */ end;

Rick_SAS · ‎05-06-2013

Let B1 = 1/B. Then what you are describing is a "direct product" that involves A and B1. SAS/IML has two direct products: the "full" direct product is P=A@B. Your example is the first and last column of that direct product. The second direct product is computed by using the HDIR function. What you want is the transpose of HDIR(A`, B1`). If this is something you intend to use often, you might want to use the following helper function: start VDIR(A,B); return( T(hdir(A`,1/B`)) ); finish; C = VDIR(A,B);

Bill · ‎04-23-2012

Suggest you try building an emf, insert into pp as a picture from file ... filename gqb 'c:\temp\Plot.emf'; GOPTIONS reset=all DEV=emf targetdevice=emf gsfname=gqb; proc gplot data=test; plot n*value/ ; run;

ahappel · ‎03-09-2012

For somereason I cant get the program to recognize attribute mapping the way that shows me. The closest I have come to what I desire is using this: proc template ; define statgraph group; begingraph; entrytitle "N vs C"; layout overlay; scatterplot x=Cmean y=Nmean / group=spp yERRORLOWER=Nlow yERRORUPPER=NHigh xERRORLOWER=CLow xERRORUPPER=CHigh errorbarattrs=graphdata1(pattern=dot) errorbarattrs=graphdata2(pattern=Solid) errorbarattrs=graphdata3(pattern=Dash) DATALABEL=site;; Discretelegend "spp"; endlayout; endgraph; end; run; proc template; define style biplots; parent=styles.journal; style GraphData1 / ContrastColor=red MarkerSymbol="CircleFilled"; style GraphData2 / ContrastColor=blue MarkerSymbol="TriangleFilled"; style GraphData3 / ContrastColor=green MarkerSymbol="SquareFilled"; end; run; ods listing style=biplots; proc sgrender data=end template=group;run; The Problem is that the errorbarattrs override each other and I cant figure out how to get it to acknowledge all of them.

Rick_SAS · ‎01-30-2012

proc sgplot data=mydata; scatter x=meanX y=MeanY / XERRORLOWER=lowerX XERRORUPPER=upperX YERRORLOWER=lowerY YERRORUPPER=upperY DATALABEL=FishName; run;

Ksharp · ‎11-22-2011

I like Tom's code more. data first; input id $ spp count; cards; 1w 250 16 1w 322 30 1w 99 2 2r 10 1 2r 99 1 ; run; data second; input id $ prey amount; cards; 1w 250 10 1w 322 15 2r 10 1 ; run; proc sort data=first; by id ; run; proc sort data=second; by id ; run; data want; ina=0;inb=0; merge first(in=ina) second(in=inb); by id; if not inb then do; prey=spp;amount=0;end; run; Ksharp

deleted_user · ‎02-04-2011

hello, if i understood correctly you can use proc format to "label" the prey variable and then the means procedure to get the output data set: [pre] DATA A; INPUT LOC FISHID PREY AMT; datalines; 1 1 1 3 1 1 2 30 1 1 3 9 1 1 4 12 1 2 4 6 1 2 6 1 ; proc format; value name 1='beetles' 2-3='Worms' 4-11='fish'; run; proc means data=a noprint nway; class loc fishid prey; var amt; output out=a1 (drop=_type_) sum=; format prey name.; run; [/pre] Marius

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Re: Optimizing Pseudo-data not returning correct parameters

Optimizing Pseudo-data not returning correct parameters

Division of matrices of different sizes

Graphs editable in Powerpoint?

Errorbarattrs for groups

Errorbarattrs for groups

Biplots of 95% confidence Intervals

Issues with Merging datasets

Issues with Merging datasets

combining columns and renaming them

Re: Optimizing Pseudo-data not returning correct parameters

Re: Division of matrices of different sizes

Re: Graphs editable in Powerpoint?

Errorbarattrs for groups

Biplots of 95% confidence Intervals

Issues with Merging datasets

Re: combining columns and renaming them