Add the Output of Proc Means to a Dataset

[KALLEN]

I need to add the outputs of proc means (5, 10, and 20 year averages) as new variables to an existing dataset (aug_yearly_weather) in the data step, but receive this error message:

ERROR: DATA STEP Component Object failure. Aborted during the COMPILATION phase.
ERROR 557-185: Variable demo5 is not an object.

 Below is my code:

/*find 5 year average of the number of days in August that were =>90 by year (2014 - 2018)*/
proc means data=demo5.aug_yearly_weather mean maxdec=0;
	vars Max_Temp_90;
	where date between '01aug2013'd and '31Aug2018'd; /* 5 year average includes 2014 - 2018, but must specify dates between 2013 and 2018*/
	title "5 Year Average";
	output out=demo5.aug_5_year_avg_90;
run;

/*find 10 year average of the number of days in August that were =>90 by year (2009 - 2018)*/
proc means data=demo5.aug_yearly_weather mean maxdec=0;
 where date between '01aug2008'd and '31Aug2018'd; /* 10 year average includes 2009 - 2018, but must specify dates between 2008 and 2018*/
 vars Max_Temp_90;
 title "10 Year Average";
 output out=demo5.aug_10_yr_avg_90;
run;

/*find 20 year average of the number of days in August that were =>90 by year (1999 - 2018)*/
proc means data=demo5.aug_yearly_weather mean maxdec=0;
 vars Max_Temp_90; /* no need to specify date range because this includes the entire dataset */
 title "20 Year Average";
 output out=demo5.aug_20_yr_avg_90;
run;

/* Create the 5, 10, and 20 year averages variables within the dataset aug_yearly_weather */
data demo5.aug_yearly_weather1; 
	set demo5.aug_yearly_weather;
  	Five_year_avg_90 = demo5.aug_5_year_avg_90;
        Ten_year_avg_90 = demo5.aug_10_year_avg_90;
        Twenty_year_avg_90 = demo5.aug_20_year_avg_90;
run;

Below is the desired result:

Date	Max_Temp_90	5 Year Avg	10 Year Avg	20 Year Avg
1999	25	24	26	25
2000	27	24	26	25
2001	25	24	26	25
2002	29	24	26	25
2003	27	24	26	25
2004	22	24	26	25
2005	19	24	26	25
2006	11	24	26	25
2007	27	24	26	25
2008	17	24	26	25
2009	29	24	26	25
2010	27	24	26	25
2011	30	24	26	25
2012	30	24	26	25
2013	26	24	26	25
2014	17	24	26	25
2015	31	24	26	25
2016	20	24	26	25
2017	25	24	26	25
2018	28	24	26	25

Thank you.

[Reeza · Accepted solution]

I posted the answer in your previous question.

[KALLEN]

Thanks again!