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Showing posts from March, 2016

Predicting height from growth curves

Height against age, Danish females. https://www.sundhed.dk/borger/sygdomme-a-aa/boern/illustrationer/tegning/vaekstkurver-piger-0-20/  My eldest daughter said: I hope my height will improve to become 170cm (5'7'') Let's have a look at growth curves. Growth accelerates several times during adolescence, so we can only guess. Above a growth curve for Danish females  and a fair prediction she will become disappointed (by an inch). A predicted median height is 173cm (5'8'') calculated using the height of her mother and my own height ((father's height minus 13) + mothers height)/2. More precise predictions can be made through combination of anthropometric measures.

Generate indicators in SAS based on factor variables

Generating indicators from factor variable defined in SAS datafile using a generic procedure in three steps.  The code is easy to modify to suite more complicated needs. Produce table with factor levels Use data step to generate program Append indicators by running SAS data step using %include An example of generative programming... proc sql;    create table levels_data_set_name as    select distinct factor_variable_name as indicator_name    from input_data_set_name;  quit;  data _NULL_;    file 'C:\PATH_TO_GENERATED_SAS_PROGRAM\indicators.sas';        put 'data somelib.indicator_enriched_data_set;';    put 'set input_data_set_name;';  run;  data _NULL_;  set levels_data_set_name;    file 'C:\PATH_TO_GENERATED_SAS_PROGRAM\indicators.sas' MOD;    length char_var $256;    char_var='ind'||strip(indicator_name)||'=';    put char_var;    char_var='('||strip(factor_variable_name)||' EQ '||strip(indic