| Date: | Fri, 19 Mar 2010 06:36:30 -0500 |
|---|
| Reply-To: | "Data _null_;" <iebupdte@GMAIL.COM> |
|---|
| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
|---|
| From: | "Data _null_;" <iebupdte@GMAIL.COM> |
|---|
| Subject: | Re: proc gplot question |
|---|
|
| In-Reply-To: | <2cee5491-2386-45d2-b0a3-916e25731188@r1g2000yqj.googlegroups.com> |
|---|
| Content-Type: | text/plain; charset=ISO-8859-1 |
|---|
This is very crude but possibly effective.
This warning is new for me
WARNING: The axis labeled var1 is not strictly ascending or
descending. This may cause unpredictable results.
Is caused by putting 1 and 2 in the middle of the ranges of 9s, but it
seems OK for this application. Each of the 9s ranges covers the data
range for the VAR it is associated with.
proc means min max;
run;
symbol i=join;
/*var1 9.0912189 9.0950417*/
/*var2 9.6438097 9.6456879*/
/*var3 9.1614652 9.1637727*/
proc format;
value y(default=5) 1,2=' ' other=[F5.3];
run;
proc gplot data=have;
plot (var1-var3)*n /
vaxis=9.091 to 9.096 by .001
1
9.161 to 9.164 by .001
2
9.643 to 9.646 by .001
vref = 1 2
overlay;
format var1-var3 y.;
run;
quit;
On 3/18/10, db <daronnebonneau@gmail.com> wrote:
> Hi I am tring to draw a graph with following dataset. but because they
> are not in same scale, it just gives me 3 straight lines if I ovelay
> them together. Is there a way to improve my gplot logic to see actual
> movements on the lines ? Thanks
>
> data have;
> input n var1 var2 var3;
> datalines;
>
> 1 9.091894617 9.644068945 9.161465204
> 2 9.092007185 9.644911105 9.161885152
> 3 9.091218941 9.643939319 9.161570208
> 4 9.091782036 9.644328147 9.161885152
> 5 9.092232284 9.644392937 9.161990111
> 6 9.092232284 9.644587282 9.161990111
> 7 9.092569836 9.644781588 9.162199997
> 8 9.093019729 9.644716824 9.162304923
> 9 9.092569836 9.643939319 9.161780181
> 10 9.092007185 9.644068945 9.162095059
> 11 9.092344814 9.643809677 9.162095059
> 12 9.092344814 9.6438745 9.161780181
> 13 9.092569836 9.644198555 9.162095059
> 14 9.093019729 9.644457723 9.162095059
> 15 9.093357017 9.644587282 9.162409838
> 16 9.093357017 9.644068945 9.162095059
> 17 9.093357017 9.643939319 9.162095059
> 18 9.094143578 9.644263353 9.163039099
> 19 9.094255893 9.644522504 9.16293425
> 20 9.094368196 9.644587282 9.163039099
> 21 9.094480486 9.644522504 9.163039099
> 22 9.094143578 9.644392937 9.162829389
> 23 9.09346942 9.644652055 9.162724518
> 24 9.09369419 9.644587282 9.162724518
> 25 9.09403125 9.644846349 9.163248764
> 26 9.094480486 9.645105349 9.163353581
> 27 9.094592763 9.645299555 9.16356318
> 28 9.094705028 9.645364282 9.16356318
> 29 9.095041748 9.645687855 9.163772736
> ;
> run;
>
> proc gplot data=have;
> plot var1*n var2*n var3*n / overlay;
> run;
>
| 
