Output and graphics from statistical programming packages are often time-consuming to read and interpret. In peer-reviewed publications you usually provide both a written assessment, tables and graphics illustrating data and analysis results. ANOVA analysis is still a very common analysis technique and it is possible to beautify the output from analysis using PROC SGPLOT

ods graphics;

proc format lib=work;

value timevar

12='0-12 hrs'

18='12-18 hrs'

24='18-24 hrs'

32='Cumulated 0-24 hrs'

;

run;

proc sql;

create table estimates

( Treatment char(12) label='Treatment Group'

, Time num label='Visit number'

, Time2 num label='Visit number'

, TimeVar char(18) label='Visit number'

, Mark char(8) label='p values'

, Est num label='Est'

, LCL num label='LCL'

, UCL num label='UCL'

)

;

insert into …

ods graphics;

proc format lib=work;

value timevar

12='0-12 hrs'

18='12-18 hrs'

24='18-24 hrs'

32='Cumulated 0-24 hrs'

;

run;

proc sql;

create table estimates

( Treatment char(12) label='Treatment Group'

, Time num label='Visit number'

, Time2 num label='Visit number'

, TimeVar char(18) label='Visit number'

, Mark char(8) label='p values'

, Est num label='Est'

, LCL num label='LCL'

, UCL num label='UCL'

)

;

insert into …