| NEWS | R Documentation |
Further information about the package is now available at http://homerhanumat.github.io/tigerstats.
Vignettes have been removed from the package and are now available at the above URL.
helpGC no longer brings vignettes into viewer; instead
it links to them at the above URL.
Addition of vignette "Teaching with Tigerstats."
Addition of qnormGC().
Addition of check argument to lmGC(). Diagnostics are no longer done with the diag argument; instead one calls the plot() function.
Addition of polyfitGC().
Addition of henderson data frame; the seals data frame has been re-named to sealsO2 to avoid name conflict with seals in the ggplot2 package.
Addition of function helpGC(), a convenience function to view package vignettes in the R Studio Viewer pane.
Addition of package vignettes: tutorials on all major functions, a summary of descriptive functions and a summary of inferential functions.
chisqtestGC() now provides a graph of resampled chi-square statistics when simulate.p.value is set to TRUE.
barchartGC() accepts more arguments, and adds a FLat" argument."
Addition of Shiny app SamplingMethods and manipulate app SimpleRandom2.
Instructional function expCounts() computes expected cell counts from a two-way table of observed counts.
Major statistical analysis functions that accept formula data input are now more responsive to the environment in which they are called. If variables in the formula are not present in the data frame supplied by the data argument (or if no value is supplied by the user), then they will be searched for in the parent environment of the called function, and then up through the chain. This change afffects binomtestGC(), chisquaretestGC(), proptestGC() and ttestGC(). Instructional functions such as manipulate apps have not been thus re-written.
Addition of baseball datasets: hofbatting, hofpitching, verlander and cabrera.
Addition of Shiny app CentralLimit.
Addition of four new Shiny apps: versions of the manipulate apps CIMean and Type12Errors, and and two new apps: CoinFlip that provides an early introduction to binomial random variables in an inferential context, and RandomExpBinom that explores experiments with two treatment groups in a completely randomized design in which the response variable is Bernoulli. To run the Shiny apps locally from an R session, install package shiny from CRAN and then at the console type commands like shiny::runApp(system.file('CIMean', package='tigerstats'))
Several of the instructional applets (FindRegLine, ShallowReg, and SlowGoodness) now appear in alternative form as Shiny apps. Source code for these apps is contained in the inst directory of the package. To run the apps locally from an R session, install package shiny from CRAN and then at the console type something like shiny::runApp(system.file('SlowGoodness', package='tigerstats'))