Date: Mon, 9 Jan 2012 16:43:30 -0800
Reply-To: Fareeza Khurshed <fkhurshed@GMAIL.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Fareeza Khurshed <fkhurshed@GMAIL.COM>
Subject: Re: GPLOT to SGPLOT
In-Reply-To: <CACnrJvaCFHJJeEiSwEJZoa=CW+om1OOBjNp8_14J3EZdRrE1=A@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1
Have you tried multiple SERIES statements with the markers option, rather
than a scatter as well?
PROC SGPLOT DATA=covplot1;;
SERIES Y=estimate X=lag / GROUP=time2 DATALABEL markers;
SERIES Y=cov_cs X=lag / GROUP=time2 DATALABEL markers;
YAXIS LABEL= 'Covariance of Between Subject Effects' VALUES=(1 TO 4.5 BY
0.5);
XAXIS LABEL= 'Lag' VALUES=(-1 TO 7 BY 1.0); *offsetmin=.5 offsetmax=.5;
RUN;
On Mon, Jan 9, 2012 at 4:29 PM, siddharth <sidhu871@gmail.com> wrote:
> In that case use.
>
>
> Proc SGScatter data= your.Data;
> Compare x= Your independent variable;
> y= Your dependent variable;
> run;
>
> *
> *
> *Tell me if this worked! I'm learning SAS!*
> Siddharth K. Lokineni
>
>
>
> On Mon, Jan 9, 2012 at 7:14 PM, Thomas Schmitt <schmitta1573@gmail.com
> >wrote:
>
> > Hi Siddharth,
> >
> > I couldn't get it to work. I should have mentioned the result of this is
> > a scatter-plot or line-graph. The data is below. I've used the following
> > code to do single variables with a grouping factor, but can't figure it
> out
> > for this situation with multiple variables and specifying the group ( in
> > this case selecting based on lag and lag2).
> >
> > PROC SGPLOT DATA=covplot1;;
> > SCATTER Y=estimate X=lag / GROUP=time2;
> > SERIES Y=estimate X=lag / GROUP=time2 DATALABEL;
> > YAXIS LABEL= 'Covariance of Between Subject Effects' VALUES=(1 TO 4.5 BY
> > 0.5);
> > XAXIS LABEL= 'Lag' VALUES=(-1 TO 7 BY 1.0); *offsetmin=.5 offsetmax=.5;
> > RUN;
> >
> > Obs lag cov_toep cov_cs cov_ar cov_arre time2
> > lag2 cov_un
> >
> > 1 0 3.26623 3.43438 3.35339 3.37978 1
> > 0 2.6069
> > 2 1 2.38581 2.30470 2.48434 2.48178 1
> > 1 1.3595
> > 3 2 2.34148 2.30470 1.84051 2.21797 2
> > 0 2.8468
> > 4 3 2.12121 2.30470 1.36353 2.14047 1
> > 2 1.5410
> > 5 4 1.90350 2.30470 1.01016 2.11770 2
> > 1 2.1370
> > 6 5 1.71573 2.30470 0.74837 2.11102 3
> > 0 3.2818
> > 7 6 1.53185 2.30470 0.55443 2.10905 1
> > 3 1.2908
> > 8 7 1.32649 2.30470 0.41074 2.10847 2
> > 2 2.4020
> > 9 . . . . . 3
> > 1 2.4234
> > 10 . . . . . 4
> > 0 3.7831
> > 11 . . . . . 1
> > 4 1.4094
> > 12 . . . . . 2
> > 3 2.2814
> > 13 . . . . . 3
> > 2 2.7668
> > 14 . . . . . 4
> > 1 2.9711
> > 15 . . . . . 5
> > 0 3.8001
> > 16 . . . . . 1
> > 5 1.2963
> > 17 . . . . . 2
> > 4 2.1165
> > 18 . . . . . 3
> > 3 2.6065
> > 19 . . . . . 4
> > 2 2.8731
> > 20 . . . . . 5
> > 1 3.1373
> > 21 . . . . . 6
> > 0 3.8498
> > 22 . . . . . 1
> > 6 1.2774
> > 23 . . . . . 2
> > 5 2.1395
> > 24 . . . . . 3
> > 4 2.3698
> > 25 . . . . . 4
> > 3 2.9590
> > 26 . . . . . 5
> > 2 3.0574
> > 27 . . . . . 6
> > 1 3.1169
> > 28 . . . . . 7
> > 0 3.7294
> > 29 . . . . . 1
> > 7 1.1623
> > 30 . . . . . 2
> > 6 1.9635
> > 31 . . . . . 3
> > 5 2.2247
> > 32 . . . . . 4
> > 4 2.7914
> > 33 . . . . . 5
> > 3 2.8179
> > 34 . . . . . 6
> > 2 2.9367
> > 35 . . . . . 7
> > 1 3.1267
> > 36 . . . . . 8
> > 0 3.5806
> >
> >
> >
> >
> > On Mon, Jan 9, 2012 at 6:46 PM, siddharth <sidhu871@gmail.com> wrote:
> >
> >> Proc SGplot data=covplot2;
> >> histogram XXX; */* in place of variable xxx provide your variable
> >> ... also you can change histogram for hbox (horizontal box plot)*/*
> >> run;
> >>
> >> tell me if this works.
> >> All the best.
> >>
> >>
> >>
> >> Siddharth K. Lokineni
> >>
> >>
> >>
> >>
> >> On Mon, Jan 9, 2012 at 6:36 PM, Thomas Schmitt <schmitta1573@gmail.com>
> >> wrote:
> >> > Hi SASers,
> >> >
> >> > Does anyone know how to translate the code below into SGPLOT?
> >> >
> >> > Thanks,
> >> >
> >> > Tom
> >> >
> >> >
> >> > proc gplot data=covplot2;
> >> > plot cov_ar *lag=1
> >> > cov_arre*lag=2
> >> > cov_cs *lag=3
> >> > cov_toep*lag=4
> >> > cov_un *lag2=5 / overlay
> >> > noframe
> >> > vaxis=axis1
> >> > haxis=axis2
> >> > legend=legend1;
> >> > run;
> >> > quit;
> >>
> >>
> >
>
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