Editing slicefit type of effectplot (in proc plm) through proc sgplot

[Saifulinfs]

I used the following code to get a slicefit plot (shown below) through the effectplot statement in Proc PLm

proc sort data=zinc.imputed out=zinc.imputed_srtd; by zns_unic; run;
proc surveyreg data=zinc.imputed_srtd;
weight nat_weight_bio;
cluster psu_no_ov;
strata newstrata;
class SEX area handwashing p_activity;
Format SEX SEX. handwashing $handwashing. p_activity p_act.;
effect znspln = spline(zns_unic / naturalcubic basis=tpf(noint) knotmethod=PERCENTILELIST(5 27.5 50 72.5 95));
model N_Mets7 = znspln AGE_in_yr sex handwashing p_activity /solution CLPARM;
output out=N_Mets7_Out predicted=Pred lcl=Lower ucl=Upper;
store N_Mets7_MODEL;
run;
proc plm SOURCE = N_Mets7_MODEL; EFFECTPLOT FIT (X=ZNS_UNIC)/ CLM; ODS OUTPUT FITPLOT = zinc.N_Mets7_FIT; RUN;

Would you let me know is there any option to change the appearance of the slicefit type of plot through proc SGPLOT? I tried the following code but the curves and straight lines seem weird. I only need two curves with 95% confidence band; one for males and one for females.

PROC SGPLOT DATA=zinc.mean_sbp_FIT NOAUTOLEGEND;
BAND UPPER = _UCLM LOWER = _LCLM X=_XCONT1/TRANSPARENCY=.3;
SERIES Y = _PREDICTED X=_XCONT1;
XAXIS LABEL = "Serum zinc concentration (µg/dL)";
yaxis label = "Predicted systolic blood pressure (mm Hg)";
title "A";
title2 "Fit for mean systolic blood pressure with 95% confidence limits";
run;

[StatDave]

The PLM plot that you show is a SLICEFIT plot, but your code does not request that and other items in the plot are not compatible with your code. However, since the plot you show is a SLICEFIT type of plot with SLICEBY=SEX, you need to specify GROUP=_GROUP in both your BAND and in your SERIES statements.

[Saifulinfs]

Sorry, that was a typo in the code; its actually a slicefit.  I understood I needed to use the group= option in my band and series statements. But the following code does not store the _Group variable in the Fitplot "zinc.N_Mets7_Fit"

proc plm SOURCE = N_Mets7_MODEL;

EFFECTPLOT slicefit (X=ZNS_UNIC sliceby = sex)/ CLM;

ODS OUTPUT FITPLOT = zinc.N_Mets7_FIT;

RUN;

the only variables are following: 

As a result, Proc sgplot shows error that _group variable was not found

[StatDave]

_GROUP should be there just as in this example:

proc surveyreg data=sashelp.cars;
class origin;
effect s=spline(enginesize/naturalcubic);
model mpg_city=s origin horsepower;
store sr;
run;
proc plm restore=sr;
EFFECTPLOT sliceFIT (X=enginesize sliceby=origin)/ CLM; 
ODS OUTPUT sliceFITPLOT = fp;
run;
PROC SGPLOT DATA=fp NOAUTOLEGEND; 
BAND UPPER = _UCLM LOWER = _LCLM X=_XCONT1/TRANSPARENCY=.3 group=_group;
SERIES Y = _PREDICTED X=_XCONT1/group=_group;
run;