Added vignette: Minimal R for Intro Stats.
Implemented symbolic integration for simple functions.
Aggregating functions (
var, etc.) now use
to determine default behavior.
Various bug fixes in
var() allow it to work in a wider range of situations.
TukeyHSD so that explicit use of
aov is no longer required
panel.lmbands for plotting confidence and prediction bands in linear regression
Some data cleaning in the Carnegie Melon University Online Learning Initiative Statistics Modules. In particular
the name collision with
MASS has been
removed by renaming the data set
freqpolygon for making frequency polygons.
r.squared for extracting r-squared from models and model-like objects.
Modified names of data frame produced by
do so that hyphens ('-') are turned into dots ('.')
We're still in beta, but we hope things are beginning to stabilize as we settle on syntax and coding idioms for the package. Here are some of the key updates since 0.4:
removed dependency on RCurl since it caused installation problems for some PC users. (Code requiring RCurl now checks at run time whether the package is available.)
further improvements to formula interfaces to common functions. The conditional | now works in more situations and & has been replaced by + so that formulas look more like the formulas
lm() and its cousins.
inclusion of the datasets from the Carnegie Mellon University Online Learning Initiative Statistics modules. These are in alpha form and some additional data cleaning and renaming may happen in the near future.
makeFun() now has methods for glm and nls objects
D() improved to use symbolic differentiation in more cases and allow pass through to
stats::D() when that makes sense. This allows functions like deltaMethod() from the car package
to work properly even when the mosaic package is loaded.
The API for
antiD() has been modified somewhat. This may go through another revision
if/when we add in symbolic differentiation, but we think we are now close to the end state.
The HELP dataset has been replaced by the HELPrct dataset, and the former will be deprecated in the next release.
The CPS data set has been renamed CPS85.
fitModel() have been added as wrappers around linear models using ns(), bs(), and nls().
Each of these returns the model fit as a function.
improvements to the vignettes.
renamed mtable() to tally(), added new functionality
reimplemented D() and antiD()
improvements to statTally()
new confint() functionality
makeFun() and plotFun() interface to plotting using formulas
added new vignette on Teaching Calculus using R
added new vignette on Resampling-Based Inference using R
changed default behavior for aggregating functions na.rm option so that it defaults to usual behavior unless given a formula as argument