search for: camel_filters

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2008 Mar 12
1
ftable and xtabs
...477 8433.474 Male 16-24 4173320.528 16692.498 25-34 3873070.488 23458.505 35-49 4113760.574 17419.423 50+ 0.000 0.000 . this gives me my first table, and then . > camel_filters_xtab<-ftable(xtabs(grossedupobs ~ gender+age_group + camel_filters, data = ciggs)) > camel_filters_xtab camel_filters No Yes gender age_group Female 16-24 4017419.038 6862.871 25-34...