detect_poverty: Classifies variable between thresholds creating 3 groups:...
In EBukin/lassopmm: Create synthetic panels from cross sectional data

Classifies variable between thresholds creating 3 groups: poor, vul, mid

1 2	detect_poverty(.data, income_var, suffix = "", pov_line_1, pov_line_2 = NULL)

`.data`	data frame to perform calculations on.
`income_var`	variable to use for classification
`suffix`	to add to the neqyly created variables
`pov_line_1, pov_line_2`	values to use as the povery lines. `pov_line_1` is required.

Same data frame with two or three extra columns. When the pov_line_2 is NULL, data frame gains columns poor_suffix, which is 1 for value of the income_var below the poverty line and mid_suffix, wchih is the opposite to the first one. When both povery lines are supplied, third variable mid_suffix is created, which represents the values of the income_var in between two poverty lines.