Numeric to Binary Converter

Version 2025 09 21

The purpose of this app is to optimise the location of cut-off points in numeric data, such that the resulting binary data version of an independent variable is the best available predictor of a binary version of the dependent variable. These binary versions of data can then be used for crisp-set QCA and EvalC3 type analyses.

There are four analysis options at stage 2:

  1. "Find the best independent variable cut-off point": This will look for the best cut-off point, given your preferred dependent variable cut-off point, as indicated by your choice at stage 4.
  2. "Find the best dependent variable cut-off point": This will look for the best cut-off point, given your preferred independent variable cut-off point, as indicated by your choice at stage 4.
  3. "Search for best combination of independent and dependent variable cut-off points": Does as it says, without any preferred cut-off points being indicated by you at stage 4.
  4. "Define both independent and dependent variable": This will generate prediction performance measures for these cut-off points, but won't suggest any new cut-off points.

Maximum file size: 60 rows, 50 columns

Example of a correctly formatted CSV file:

ID,IV1,IV2,IV3,DV1,DV2,...
1,23,45,67,89,12
2,34,56,78,90,23
...

(IV = Independent Variable, DV = Dependent Variable)