ERROR: One or more variables are missing or freq or weight is zero on every observation.

[abudyak]

data snowfall;
	input month season @;
	cards;
	12	32.5	12	04.4	12	23.9	12	27.3	12	32.3	12	25.6	12	42.8	12	22.1
	1	40.0	1	27.4	1	06.6	1	60.5	1	15.7	1	22.2	1	53.0	1	25.1
	2	26.3	2	33.0	2	25.4	2	43.8	2	34.6	2	16.8	2	14.8	2	15.2
	3	32.1	3	06.8	3	35.6	3	37.4	3	19.9	3	37.2	3	13.3	3	70.4
	;
	
	proc glm;
		class month;
		model season=month/p;


		means month/hovtest=bartlett;
		output out=snowfall1 predicted=ypred residual=res;
	run;

 I keep getting the error "ERROR: One or more variables are missing or freq or weight is zero on every observation." And I am not sure why.

[Reeza]

Check your input data, snowfall. It does't read in correctly so you only get 4 records. 

Add an extra @ so you have a double @@ on your input statement. 

---

@abudyak wrote:

data snowfall;
	input month season @;
	cards;
	12	32.5	12	04.4	12	23.9	12	27.3	12	32.3	12	25.6	12	42.8	12	22.1
	1	40.0	1	27.4	1	06.6	1	60.5	1	15.7	1	22.2	1	53.0	1	25.1
	2	26.3	2	33.0	2	25.4	2	43.8	2	34.6	2	16.8	2	14.8	2	15.2
	3	32.1	3	06.8	3	35.6	3	37.4	3	19.9	3	37.2	3	13.3	3	70.4
	;
	
	proc glm;
		class month;
		model season=month/p;


		means month/hovtest=bartlett;
		output out=snowfall1 predicted=ypred residual=res;
	run;

 I keep getting the error "ERROR: One or more variables are missing or freq or weight is zero on every observation." And I am not sure why.

---

[abudyak]

@Reeza  I still get the same error

[novinosrin]

Hi @abudyak  try 

data snowfall;
	input month season @@;
	cards;
	12	32.5	12	04.4	12	23.9	12	27.3	12	32.3	12	25.6	12	42.8	12	22.1
	1	40.0	1	27.4	1	06.6	1	60.5	1	15.7	1	22.2	1	53.0	1	25.1
	2	26.3	2	33.0	2	25.4	2	43.8	2	34.6	2	16.8	2	14.8	2	15.2
	3	32.1	3	06.8	3	35.6	3	37.4	3	19.9	3	37.2	3	13.3	3	70.4
	;
	
	proc glm;
		class month;
		model season=month/p;
		means month/hovtest=bartlett;
		output out=snowfall1 predicted=ypred residual=res;
	run;
	quit;

[abudyak]

@novinosrin  I still get an error

[novinosrin · Accepted solution]

I tested the below and it works for me

data snowfall;
input month season @@;
cards;
12 32.5 12 04.4 12 23.9 12 27.3 12 32.3 12 25.6 12 42.8 12 22.1
1 40.0 1 27.4 1 06.6 1 60.5 1 15.7 1 22.2 1 53.0 1 25.1
2 26.3 2 33.0 2 25.4 2 43.8 2 34.6 2 16.8 2 14.8 2 15.2
3 32.1 3 06.8 3 35.6 3 37.4 3 19.9 3 37.2 3 13.3 3 70.4
;

proc glm;
class month;
model season=month/p;
means month/hovtest=bartlett;
output out=snowfall1 predicted=ypred residual=res;
run;
quit;

[novinosrin]

RESULT: