search for: item_item_table

Hi All, How do you dynamically generate the arguments for the lm() function when your items vary for each database. Say in my case for a particular database i have items from i1 to i15 . In the code below there a line like this :-- item_cat_fit<-lm(as.numeric(item_item_table$i1) ~ as.numeric(item_item_table$i2) + as.numeric(item_category_table$i3) ) *# this gives proper results,i am accessing each column of the dataset using column names. * how do i dynamically generate this :--- item_cat_fit<-lm(as.numeric(item_item_table[item_item_dependent_var_counter]) ~ as.nu...