I have written several programs that are available free of charge. All I ask is that if you use these for research that results in a presentation or published paper, acknowledge me. Most of these (except for Analytic Rarefaction) are available only for macOS. If you have any comments or questions, please contact Steven Holland at email@example.com.
Analytic Rarefaction uses the solution presented by Raup (1975) and Tipper (1977) and runs very quickly, even on large data sets. Be sure to read the instructions for Analytic Rarefaction.
Margin of Error (formerly Percentage Error Bars)
This program is based on David Raup's program for calculating the error bars on percentage or ratio data that he presented in the 1991 Analytic Paleobiology short course. At present, there is no readme file for this program. See "Raup, D.M., 1991, The future of analytical paleobiology. In N.L. Gilinsky and P.W. Signor, eds., Analytical Paleobiology, Paleontological Society Short Courses in Paleontology No. 4, p. 207–216" for source code on which this program is based and for a justification of the approach used in calculating these error bars.
This program is used to make backstripping calculations for a single section. The program assumes local isostasy, makes compaction corrections using the coefficients found in Sahagian and Holland (1991: Geology 19: 1209–1212), and integrates compaction corrections over the thickness of a unit, resulting in more accurate decompaction of thick units. Backstrip comes with instructions.
This program is used to correlate meter-scale cycles from two outcrops. One section should be longer than the other. The long section is also assumed to totally contain the stratigraphic interval of the shorter; this can be checked with distinctive marker beds, etc. The program will first read a text file you prepare that lists the thicknesses of successive meter-scale cycles in one section, and then will read the thicknesses of the cycles in the other section from another file. The program will then calculate the correlation coefficient of all possible correlations between the two sections and will also calculate confidence levels on the correlation coefficient, based on resampling of the cycles actually measured. Cross-correlation comes with instructions.
If you need a jump-start in using R or in using multivariate methods in R, try these tutorials, which should get you up and running quickly.
The website for my course in Data Analysis covers a variety of topics in statistics and data analysis, and it emphasizes how to use R to solve these problems.
Using BBEdit as your R editor
You can use BBEdit, the powerful text editor for macOS, as your editor for R, including syntax highlighting. To specify BBEdit as your external editor, go to the R application menu, select Preferences, then choose Editor (under Source Editor). Click the External Editor button on the top right, then click the New editor button. In the dialog that appears, scroll to BBEdit and either double-click it, or click it once and click the Open button. When you return to the preferences panel, be sure the radio button for Application is selected, rather than the Command button. Close preferences.
Now, when you create a new document in R, either from the File menu or from the toolbar, BBEdit will automatically open. To have BBEdit automatically launch when you double-click a .R file, and to have BBEdit have syntax coloring, you’ll need to do a couple more steps.
First, download the syntax-coloring file, uncompress the Rplist.zip file that is downloaded, and copy the R.plist file to the ~/Library/Application Support/BBEdit/Language Modules/folder (this is the Library folder in your user folder, not the Library folder at the root level of your system). If the Language Modules folder isn’t present, go ahead and make one, and put the R.plist file inside of it. Quit BBEdit and relaunch it. When you double-click a file with a .R suffix, BBEdit should launch and display your code with syntax highlighting. If you create a new document from within R, you’ll need to tell BBEdit that this is an R file in one of two ways: 1) Save the file with .R suffix, or 2) go to the bottom of the window, click the two arrows that display a list of computer languages, and select R from the list.
Cocoa Bootcamp at the Big Nerd Ranch
If you're interested in developing software for macOS, I recommend this course highly. Read my review. of when I took the course.