01-22-2012, 11:23 AM
I haven't heard about Fox's theory, but in the East European school (incl. Russian) it is was used similar idea of so called "effective compressive depth". At least I think it is similar because of the name. I suspect that it is not available easily in English language. So, sorry about not giving theoretical help.
Nevertheless, I can help you in the automation of the chart reading. There are two options depending on the type of the chart and the way it looks like:
1. If the chart can be found in table form you can input the table(s) in MS-Excel, and there you can use the "match" function to search the cells where the values to be read are placed. Then you can use linear interpolation to find the "reading" for the exact argument.
2. If the function is given only in graphical way (a diagram), then you have two options:
2.1 Make several readings that describe the diagram properly, and represent these in table form, then use the first option above ( 1.)
2.2 Make several readings that describe the diagram properly, and if the diagram is smooth you can use approximation function that fits the read data with minimum error. Using Excel you have options to do so using polynomials, log- and exp- regression. Then you can use this function directly as formula in any cell.
If your case is only a chart, you can "shot" it and put here to see which is the easiest (and most accurate) way to be entered in MS-Excel.
Nevertheless, I can help you in the automation of the chart reading. There are two options depending on the type of the chart and the way it looks like:
1. If the chart can be found in table form you can input the table(s) in MS-Excel, and there you can use the "match" function to search the cells where the values to be read are placed. Then you can use linear interpolation to find the "reading" for the exact argument.
2. If the function is given only in graphical way (a diagram), then you have two options:
2.1 Make several readings that describe the diagram properly, and represent these in table form, then use the first option above ( 1.)
2.2 Make several readings that describe the diagram properly, and if the diagram is smooth you can use approximation function that fits the read data with minimum error. Using Excel you have options to do so using polynomials, log- and exp- regression. Then you can use this function directly as formula in any cell.
If your case is only a chart, you can "shot" it and put here to see which is the easiest (and most accurate) way to be entered in MS-Excel.