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New Rcpp versions 0.6.0 and 0.6.1
---------------------------------
The Rcpp package provides C++ classes that greatly
facilitate interfacing C
or C++ code in R packages using the .Call() interface
provided by R.
Rcpp provides matching C++ classes for a large number of
basic R data types.
Hence, a package author can keep his data in normal
R data structure
without having to worry about translation or transfer
to C++.
At the same time, the data structures can be accessed as
easily at the C++ level, and used in the normal manner.
The mapping of data types works in both directions.
It is as straightforward to pass data from R to C++,
as it is it return data from C++ to R.
The following two sections list supported data types.
Transfer from R to C++:
Standard R datatypes that are understood in C++ are
o named lists containing numeric (i.e. floating point),
integer, character, logical (i.e. boolean) or Date and
Datetime (i.e. POSIXct at
the microsecond granularity) arguments;
o data frames containing numeric, integer, logical,
character, Date, Datetime or Factor columns;
o named vectors containing numeric or integer values,
o vectors and matrices of different values
o character strings
Transfer from C++ to R:
Standard C++ datatypes can be returned to R
in a named list, the most general data type in R.
Permissible components of the returns list are the
following C++ types:
o double (scalar as well as vectors and vectors of vectors),
o int (scalar as well as vectors and vectors of vectors),
string,
o STL vector types and vector<vector> types of int
and double
o STL vector of strings
o internal Rcpp types RcppDate, RcppDateVector,
RcppDatetime, RcppDatetimeVector,
RcppStringVector, RcppVector of int or double,
RcppMatrix of int or double, RcppFrame
Rcpp was initially written by Dominick Samperi as part of
his contributions to RQuantLib, and later released as a
standalone package (under both the Rcpp and
RcppTemplate names).
Its development had ceased in late 2006.
As of November 2008, I have made new release with
substantially expanded documentation,
simpler yet more comprehensive build structure leading to
easier use of Rcpp from other packages, and
support for Windows, Linux and Mac OS X
(with special thanks to Simon for some extended
cluebat waving).
More information for Rcpp can be found at
o the package homepage at
http://dirk.eddelbuettel.com/code/rcpp.html
o the R-forge repository at
https://r-forge.r-project.org/projects/rcpp/
o the CRAN page at
http://cran.r-project.org/web/packages/Rcpp/index.html
Regards, Dirk
> barchart(Class ~ Freq | Sex + Age,
data = as.data.frame(Titanic),
groups = Survived, stack = TRUE, layout = c(4, 1),
auto.key = list(title = "Survied", colums = 2),
scales = list(x = "free") )
key.variety <- list(space = "right",
text = list(levels(Oats$Variety)),
points = list(pch = 1:3, col = "black"))
xyplot(yield ~ nitro | Block, Oats, aspect = "xy",
type = "o", groups = Variety,
key = key.variety, lty = 1, pch = 1:3,
col.line = "dargrey", col.symbol = "black")
darkgrey の綴りを間違えて指定すると，グラフは作成されるものの，折れ線の代わりに，「パラメータの設定がおかしいだろう！」というメッセージがずらずらと表示されてしまう． また引数名と間違えると，その引数に設定したオブジェクトがないだろうなどというエラーに遭遇する．
dotplot(variery ~ yield | site, barley, layout = c(1,6),
aspect = c(0.7), grous = year,
auto.key = list(space = "right") )
以下にエラー bwplot.formula(x = variery ~ yield | site,
data = list(yield = c(27, :
オブジェクト "year" は存在しません
groups の綴りを間違えたんだけど．．．