| prepare_data | R Documentation | 
mutual functionTakes a tabular object (micro-data or a frequency table) and returns a
data.table ready for mutual.
The output
* stores every analytical variable as a factor;
* holds the weight variable under the unified name fw (numeric);
* aggregates identical combinations (summing their weights) and drops rows
where fw == 0.
prepare_data(data, vars, fw = NULL, col.order = NULL)
| data | A tabular object:  | 
| vars | A vector of column names or indices, or the literal
 | 
| fw | (optional) Name or index of the frequency-weight column.
Must reference exactly one column. If  | 
| col.order | (optional) Column(s) used to sort the final table;
must be included in  | 
A data.table with classes "mutual.data",
"data.frame" and "data.table".
The analytical variables are stored in the attribute "vars";
the key is cleared.
md <- prepare_data(
  DF_Seg_Chile,
  vars = c("csep", "ethnicity", "school", "district"),
  fw   = "nobs"
)
md <- prepare_data(DF_Seg_Chile, vars = "all_vars")
class(md)
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