J-FlashCalc - An Ongoing Project of The Ossipov Laboratory
Currently Available Programs
This is an ongoing project, with additional modules being added as they are developed. Eventually, there will be a number of routines designed for
pharmacologic calculations, dose-response functions for graded and quantal expression of data, a number of statistical routines, including ANOVA, 2-way ANOVA,
Student-Neuman-Keuls post-hoc test, and some non-parametric functions as well, such as Kruskal-Wallis.
Should you run into any difficulties executing any of these programs, please take note of the error messages generated by your operating system and/or browser,
and e-mail me a description of the problem along with the error message. The error message is critical to understanding what went wrong.
Please note that you need to have JAVA installed and running on your computer, at least the plug-in for the browser must be installed. You can get JAVA here:
at: http://www.java.com/en/download/help/testvm.xml
This site will let you test your browser for the correct version of JAVA, and let you install it if need be
These are the currently available programs:
- JFlashCalc: This is the main suite. It displays a spreadsheet with the usual cut/copy/paste functionality. Here, you enter data as
dose (not log-dose, the program does the conversion) in one column and response in the adjacent one. For a simple DRC, just one set of data will do. A pop-up window will tell you
to highlight the dose-response data block, then just click OK. This will also graph the DRC, which can then be exported as a metafile, eps or
pdf file. For isobolographic analysis, you will need to enter, and select when prompted, a block of data for drug 1, drug 2 and for the fixed-ratio mixture. These data will also be
graphed and available for export. It is important to realize that, in the current version, you need to enter the data for each data point, not just the mean response at each dose; the program is designed to calculate the mean and SEM of the results,
and uses these results to generate the graph. I will soon add the ability to enter a mean and SEM for each dose, but right now, failure to enter all the data results in a null field, which will crash the program.
- t-test: This is a quick and dirty t-test routine. Just feed in the mean, N, and standard error or stndard deviation for each of 2 groups, and the program will
tell you if they are significantly different or not at the p = 0.05 level. It's a great little routine if you want to double-check some data on-the-fly.
- Up-down calculator for determining the 50% withdrawal threshold based on sequentially increasing and decreassing the strength of a stimulus (e.g.; von Frey filaments)
applied incrementally (as per Chapman et al. 1994)
- and so very much more to come. Stay tuned...