R (>= 3.0.0), dplyr, lattice (>= 0.20-21), ggplot2,
mosaicData, Matrix
lazyeval (>= 0.2.0), MASS, grid, tidyr, readr, methods, utils,
splines, latticeExtra, ggdendro, gridExtra
lubridate, fastR, magrittr, NHANES, RCurl, sp, maptools, vcd,
testthat, knitr, tools, parallel, mapproj, rgl, rmarkdown
Randall Pruim <rpruim@calvin.edu>, Daniel T. Kaplan
<kaplan@macalester.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Data sets and utilities from Project MOSAIC (http://mosaic-web.org) used
to teach mathematics, statistics, computation and modeling.  Funded by the
NSF, Project MOSAIC is a community of educators working to tie together
aspects of quantitative work that students in science, technology,
engineering and mathematics will need in their professional lives, but
which are usually taught in isolation, if at all.

lazyeval (>= 0.1.10.9000), MASS, grid, reshape2, readr,
methods, utils, splines, latticeExtra, ggdendro, gridExtra
lubridate, fastR, magrittr, NHANES, RCurl, sp, maptools, vcd,
testthat, tidyr, knitr, tools, parallel, mapproj, rgl,
rmarkdown

R (>= 2.10), lattice, grid, methods, Hmisc
Randall Pruim <rpruim@calvin.edu>, Daniel Kaplan <kaplan@macalester.edu>, Nicholas Horton <nhorton@smith.edu>
Data sets and utilities from Project MOSAIC (mosaic-web.org) used to teach mathematics, statistics, computation and modeling.  Funded by the NSF, Project MOSAIC is creating a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.

Project MOSAIC (mosaic-web.org) statistics and mathematics
teaching utilities
R (>= 2.10), lattice, grid, methods, Hmisc, utils
Data sets and utilities from Project MOSAIC
(mosaic-web.org) used to teach mathematics, statistics,
computation and modeling.  Funded by the NSF, Project MOSAIC is
a community of educators working to tie together aspects of
quantitative work that students in science, technology,
engineering and mathematics will need in their professional
lives, but which are usually taught in isolation, if at all.
'favstats.R' 'CIsim.R' 'adapt_seq.R' 'aggregating.R'
'binom.test.R' 'confint.R' 'cross.R' 'dfapply.R' 'distPlot.R'
'do.R' 'dotPlot.R' 'fetchData.R' 'findZeros.R' 'functions.R'
'interval.R' 'ladd.R' 'linear-algebra.R' 'logit.R'
'perctable.R' 'pqrdata.R' 'prop.test.R' 'rand.R' 'read.file.R'
'resample.R' 'rfun.R' 'rgeo.R' 'settings.R' 'smoothers.R'
'statTally.R' 'surround.R' 'utils.R' 'xchisq.test.R'
'xhistogram.R' 'xpnorm.R' 'xqqmath.R' 'zzz.R' 'Calculus.R'
'mosaic-package.R' 'datasets.R' 'themes.R' 'createFun.R'
'integrateODE.R' 'is.wholenumber.R' 'parseFormula.R'
'plotFun.R' 'nlsModel.R' 'bargraph.R' 'makeFunction.R'