Free log analysis software for mac

ROC Analysis 1.5 is a very flexible and effective tool which graphs the Receiver Operating Characteristic (ROC) curve and calculates the Area Under the ROC Curve (AUC) using a nonparametric method.

For aeronautical students, engineers, RC hobbyists or anyone who loves airplanes,Airfoil Analysis offers the finest implementation of the classic Vortice-Panel method for airfoil analysis.
Main features:
- Arbitrary shapes
- NACA 4,5 digits airfoils.
- Up to 200 panels.
- Calculate aerodynamic coefficients.
- Plot angle of attack dependencies.
- Plot velocity and pressure fields.

Sequence editing, reverse complement, protein translation, ORF finding, secondary structure, composition, isoelectric point, primer design, pairwise comparison, publish layout, sequence reformatting. Fetches sequence entries directly from the NCBI via Accession number or GID. Reads most sequence formats.
This (Java) application is a collage of coding projects which I have written over the past several years for various clients in my work as a bioinformatics consultant. These clients have graciously allowed me to release these works into the public domain as freeware.
Enhancements:
- Fixed launching conflict introduced with QuickTime 7.0.4
- Digest: Using "REBase 601" enzyme list
- Allow launching with Java 5 (JDK 1.5).

Wired Log Analyzer is a tool to help you view the data generated by your Wired Server log output.
It allows you to view a sortable table of statistics based on the output of a Wired Server log.
Enhancements:
- Sanity-check on the graphs: after awhile I noticed it was ordering the graph by the value, so your graphs would continually increase.
- Also the graphs will not "skip" a day. You would have noticed this if a graph had one line shorter than the others.
- Now saves the last-opened logfile you used (yay!).
- Figured out the memory management problem--you can now open multiple files during a run.
- Added column for UL/DL KB ratio, much to your delight.

The Apache Log Analyzer will take the log files you get out of hosting a website with Apache, and turn them into something you can actually USE!
Gather statistical data:
Unique visitors - how many different IPs do you see?
which documents were requested - a count of each unique url
how much bandwidth was used - a total count of all the last values in the line.
how much bandwidth for each file was used - an incremental count per file
What browser did they use - a count from the refers tag
Where did they come from - a count of each unique refers
What requests went unanswered - a count of 400, 404s & what they were
IPs you may want to ban - one IP hitting the same thing over and over again
- known virus requests like "GET /scripts/..%c1%9c../winnt/system32/cmd.exe?/c+dir HTTP/1.0"
anything with /winnt/ or /system32/ or .exe
Unique errors in error_log
Saves it to an .html file, and lets you view the results quickly and easily.
Enhancements:
- Wow, has it been that long? Seesh. Many, many changes.
- Complete gui rethink.
- The progress bars actually work now.
- Incorrect error reporting of 404s fixed.
- Better bandwidth calculation.
- Speed ups.
- Each report is saved separately.
- Other bug fixes.

Mac ChiSquare Analysis calculates chi-square statistic as well as phi, contingency, and kappa coefficients from up to a 10 x 10 table.

The chi-square test is used to compare the distributions of two independent samples. It is used with data in the form of frequencies. It is a nonparametric procedure that makes no assumptions about distribution shapes, variances, or levels of measurement (Diekhoff, 1996).

The chi-square test evaluates the correspondence between the expected and the observed number of cases in each of the cells of the variable by variable contingency table (Thompson, 1988). It is a test of whether or not a null hypothesis of no association should be rejected between the two independent variables.

If the chi-square test shows that there is a relationship between the two variables, then the contingency coefficient gives an indication of the degree of the relationship. (Bruning & Kintz, 1997). The contingency coefficient is similar in meaning to the correlation coefficient.

Cramers phi coefficient is a measure of association that is also similar to a correlation coefficient. It can assume a value between 0 and +1. See Sheskin (2000) for further detail.

Kappa is calculated when the rows and columns are symmetrical. Kappa is often used to examine inter-observer agreement and reflects the amount of agreement beyond chance (Norman & Streiner, 2000).