How much ram do you need to store a 100,000 by 100,000 matrix?
Learn the scintillating answer to this and many more such questions with
the memuse package.  This package gives the user the size (memory usage)
of an unallocated, in-core, dense, numeric matrix.  The output is an S4
class object that can be manipulated to be presented in different ways
(different units, short/long versions of those units, etc.).  The package
offers similar functionality to that of R's object.size() function, with
the key difference being that memuse does not require an object to already
be allocated.  So one can determine the size of enormous matrices even
from a laptop.

Estimate the memory usage of dense, in-core, numeric objects.

How much ram do you need to store a 100,000 by 100,000 matrix?
How much ram is your current R session using? How much ram do you even have?
Learn the scintillating answer to these and many more such questions with
the 'memuse' package.
See memuse/inst/meminfo_LICENSE for the files in
src/meminfo/.
c(
person("Drew", "Schmidt", email="wrathematics@gmail.com", role=c("aut", "cre")),
person("Christian", "Heckendorf", role="ctb"),
person("Wei-Chen", "Chen", role="ctb"))
Drew Schmidt [aut, cre],
Christian Heckendorf [ctb],
Wei-Chen Chen [ctb]

c(
person("Drew", "Schmidt", email="wrathematics@gmail.com", role=c("aut", "cre")),
person("Christian", "Heckendorf", role="ctb", comment="FreeBSD improvements to meminfo"),
person("Wei-Chen", "Chen", role="ctb", comment="Windows build fixes"),
person("Dan", "Burgess", role="ctb", comment="donation of a Mac for development and testing"))
Drew Schmidt [aut, cre],
Christian Heckendorf [ctb] (FreeBSD improvements to meminfo),
Wei-Chen Chen [ctb] (Windows build fixes),
Dan Burgess [ctb] (donation of a Mac for development and testing)

Medical and Pharmaceutical Statistics Shiny Application
person("Yi", "Zhou", email = "zhou-y@phs.osaka-u.ac.jp",
role = c("aut", "cre"))
This is a shiny application which facilitates researchers to analyze medical and pharmaceutical and related data.
shiny, ggplot2, survival, survminer, ggfortify, DescTools,
gridExtra, reshape, pastecs, RVAideMemoire, xtable, ROCR,
plotROC, psych, stargazer, Rmisc, mixOmics