sfsmisc
Utilities from 'Seminar fuer Statistik' ETH Zurich
Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
- Version1.1-20
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release11/05/2024
Documentation
Team
Martin Maechler
MaintainerShow author detailsKjetil Halvorsen
Show author detailsRolesContributorAlain Hauser
Show author detailsRolesContributorBill Venables
Show author detailsRolesContributorBen Bolker
Show author detailsRolesContributorPhilippe Grosjean
Show author detailsRolesContributorGreg Snow
Show author detailsRolesContributorTony Plate
Show author detailsRolesContributorJens Oehlschlägel
Show author detailsRolesContributorAndreas Ruckstuhl
Show author detailsRolesContributorMarcel Wolbers
Show author detailsRolesContributorSandrine Dudoit
Werner Stahel
Show author detailsRolesContributorChristian Keller
Show author detailsRolesContributorChristoph Buser
Show author detailsRolesContributorLorenz Gygax
Show author detailsRolesContributorIsabelle Flückiger
Show author detailsRolesContributorMarkus Keller
Show author detailsRolesContributorJane Fridlyand
Show author detailsRolesContributorHenrik Aa. Nielsen
Show author detailsRolesContributorVincent Carey
Show author detailsRolesContributorFrédéric Ibanez
Show author detailsRolesContributorCaterina Savi
Show author detailsRolesContributorCharles Geyer
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 15,231 times in the last 30 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 590 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 224,889 times in the last 365 days. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The day with the most downloads was Aug 19, 2024 with 1,445 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Enhances13 packages
- Suggests8 packages
- Reverse Depends6 packages
- Reverse Imports26 packages
- Reverse Suggests19 packages
- Reverse Enhances1 package