Bootstrap, permutation tests, and other resampling functions, featuring easy-to-use syntax.
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For a comparison of ease of use of boot and resample, see resamplePoster1407.pdf.
11/23/2014 - Version 0.2 is on CRAN. Version 0.3 is here, for people reading What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum, Tim Hesterberg (2014), http://arxiv.org/abs/1411.5279
Current version resample_0.3.tar.gz
11/23/2014 - I am not actively working on this package. R policies now prohibit .Call calls to routines internal to R, so I cannot put this on CRAN.
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Current version aggregate_1.2.7.tar.gz
This contains versions of standard data frame functions in R, modified to avoid making extra copies of inputs. This is faster, particularly for large data.
11/23/2014 - I am not actively working on this package. (1) R has incorporated some of my improvements, so this package is less necessary. (2) I wouldn't be able to put new versions on CRAN, due to a change in CRAN policies (they now prohibit .Call calls to routines internal to R; these are present in some of the standard dataframe code that I modify).
Announcement-only list; join this for notices of new versions: http://groups.google.com/group/r-dataframe-announce (You can ignore the warning about this group containing adult content; it does not.)
dataframe_2.9.tar.gz. This is for R 3.0.2 (and probably later, but not tested). Remove all but SubsetRows and Math.data.frame.
dataframe_2.7.1.tar.gz. This is for R 2.15.1 - 2.15.3. It includes changes made through R 2.15.3. This will not work with R 3.0.
dataframe_2.5.tar.gz. This is suitable for R 2.15.0. It can be used with earlier versions if you create paste0, like paste but default sep="", then edit DESCRIPTION to remove the dependence on R 2.15.0.
The file memory.R (see below) has some benchmarks, including R 3.0.0 (without the dataframe package). R 3.0.0 does more large memory allocations than previous versions. They are not copies of the data. Some people from r-devel have looked into this, and made some improvements in R based on my findings.