Bootstrap, permutation tests, and other resampling functions, featuring easy-to-use syntax. The latest release on CRAN is here: https://cran.r-project.org/web/packages/resample.
Announcement-only list; join this for notices of new versions: http://groups.google.com/group/r-resample-announce.
For a comparison of ease of use of boot and resample, see resamplePoster1702.pdfÂ
6/13/2022 - Version 0.6 is on CRAN, https://ftp.osuosl.org/pub/cran/web/packages/resample
Older: resample_0.3.tar.gz, 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
Aggregation functions. Common aggregation tasks optimized for speed and ease of use.
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_1.3.1.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.)
Versions here:
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.
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.
useR! 2012, 6/15/2012: TwoPackages5.pdf