Fixed bug in vignette generation.
fetchGapminder for fetching data sets originally from
cdata for finding end points of a central portion of a variable.
Name changes in functions like
prop to avoid internal
: which makes downstream processing messier.
Improved detection of the availability of
Surface plots produced by
plotFun can be used without
manipulate. This makes it possible to put surface plots into RMarkdown or Rnw files or to generate them outside of RStudio.
do() * rflip() now records proportion heads as well
as counts of heads and tails.
restoreLatticeOptions to switch back and forth between
lattice defaults and
dotPlot uses a different algorithm to determine dot sizes.
(Still not perfect, but
cex can be used to further scale the dots.)
histogram so that
nint matches the number of bins used more accuaretly.
Various minor bug fixes and internal improvements.
Various improvements and bug fixes to
mPlot provides an interactive environment for
creating lattice and ggplot2 plots.
Some support for producing maps has been instroduced, notably
sp2df for converting SpatialPolygonDataFrames to regular data frames (which is useful for plotting with ggplot2, for example). Also the
Countries data frame facilitates
mapping country names among different sources of map data.
Data frames returned by
do are now marked as such so that
can behave differently for such data frames and for "regular" data frames.
t.test can now do 1-sample t-test described using a formula.
Aggregating functions (e.g.
var, etc. using a formula
interface) have been completely
reimplemented and additional aggregating functions are provided.
ntiles function has been added to facilitate creating
factors based on quantile ranges.
Changes in format to
Minor changes in documentation.
Added vignettes: Starting with R and A Compendium of Commands to Teach Statistics.
Plan to deprecate datasets from the Carnegie Melon University Online Learning Initiative Statistics Modules in next release.
xhistogram is now deprecated. Use
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