Hello,    I am a new SAS user and am trying to complete a school project. I have spent many hours trying but it's time to reach out for help.    I would hugely appreciate some help with the CODE to enter the unbalanced data using INPUT and DATALINES. I also please need help with the CODE to produce the ANOVA output for Two by Three factorial ANOVA using GLM for the assessment of differences in means between subgroups, inc interaction effect.    I have FOR EXAMPLE 2 genders (male, female) and 3 groups (Socioeconomic status: low , Med, High)    It is a small data set - males have 10 observations across the three groups  Females have a total of 14 observations across the three groups.      The reason it requires unbalanced data entry: For the males Groups 2 and 3 have one less observation than group 1  For the females group 2 has one less data observation than groups 1 and 3    Below I have attached some of my many failed attempts so you can all see that I have at least tried.    Thanking you so much in advance for any help.      DATA Chocolate; *Tells SAS that we would like to call the new data set chocolate and save it in the working directory; INPUT Flavour $ Sweetness @@; *Tells SAS that we plan to input data with the a flavour and sweetness variable; DATALINES; O 8 O 7 O 5 O 6 O 6 O 4 O 7 O 7 O 6 O 6 M 8 M 7 M 3 M 8 M 6 M 4 M 6 M 5 M 5 M 6 M 7 M 3 M 7 M 3 ; *actually ives SAS the raw data to use; PROC PRINT DATA = Chocolate ; RUN; *to view the data set that was created; ***OR*** SO FAR THE BEST CHOICE ; LIBNAME Q2 'C:\Users\Dell\Documents\ASS270003'; DATA Q2.Chocolate; INPUT Flavour $ SweetnessLevel1-SweetnessLevel3 @@; DATALINES ; Orange 8 7 5 Orange 6 6 4 Orange 7 7 6 Orange 6 . . Mint 8 7 3 Mint 8 6 4 Mint 6 5 5 Mint 6 7 3 Mint 7 . 3 ; PROC PRINT data = Q2.Chocolate; RUN; ***OR...***; LIBNAME Q2 'C:\Users\Dell\Documents\ASS270003'; DATA Q2.Chocolate2; INPUT O $ M $ Response @; DATALINES ; 1 8 2 7 O 5 O 6 O 6 O 4 O 7 O 7 O 6 O 6 M 8 M 7 M 3 M 8 M 6 M 4 M 6 M 5 M 5 M 6 M 7 M 3 M 7 M 3 ; LIBNAME Q2 'C:\Users\Dell\Documents\ASS270003'; DATA Q2.Chocolate3; Do Flavour = 1 to 2; do SweetLevel = 1 to 3; Input SweetRating @@; Output; End; end; datalines; 8 7 5 6 6 4 7 7 6 6 8 7 3 8 6 4 6 5 5 6 7 3 7 3 ; PROC PRINT data = Q2.Chocolate3; RUN; LIBNAME Q2 'C:\Users\Dell\Documents\ASS270003'; DATA Q2.Chocolate4; INPUT Flavour $ SweetLevel SweetRate @@; CARDS; O 1 8 O 1 6 O 1 7 O 1 6 O 2 7 O 2 6 O 2 7 O 3 5 O 3 4 O 3 6 M 1 8 M 1 8 M 1 6 M 1 6 M 1 7 M 2 7 M 2 6 M 2 5 M 2 7 M 3 3 M 3 4 M 3 5 M 3 3 M 3 3 ; PROC FORMAT; *to improve viewability the variable flavour was formatted to have proper names; Value $Flavour 'O' = 'Orange' 'M' = 'Mint' ; PROC PRINT DATA = Q2.Chocolate4; Format Flavour $Flavour.; run; PROC GLM DATA= Q2.Chocolate4; Class Flavour SweetLevel Model SweetRate = Flavour|SweetLevel / SS3 SOLUTION; MEANS Flavour|SweetLevel / BON; LSMEANS Flavour*SweetLevel / SLICE=Flavour SLICE=SweetLevel ADJUST=BON;; ESTIMATE 'mu' intercept 1; run;   ... View more