The R Project SVN R

Rev

Rev 68948 | Show entire file | Ignore whitespace | Details | Blame | Last modification | View Log | RSS feed

Rev 68948 Rev 76267
Line 1... Line 1...
1 
% File src/library/stats/man/checkMFClasses.Rd
 1 
% File src/library/stats/man/checkMFClasses.Rd
2 
% Part of the R package, https://www.R-project.org
 2 
% Part of the R package, https://www.R-project.org
3 
% Copyright 1995-2007 R Core Team
 3 
% Copyright 1995-2019 R Core Team
4 
% Distributed under GPL 2 or later
 4 
% Distributed under GPL 2 or later
5 
 
 5 
 
6 
\name{.checkMFClasses}
 6 
\name{.checkMFClasses}
7 
\alias{.checkMFClasses}
 7 
\alias{.checkMFClasses}
8 
\alias{.MFclass}
 8 
\alias{.MFclass}
Line 11... Line 11...
11 
\description{
 11 
\description{
12 
  \code{.checkMFClasses} checks if the variables used in a predict
 12 
  \code{.checkMFClasses} checks if the variables used in a predict
13 
  method agree in type with those used for fitting.
 13 
  method agree in type with those used for fitting.
14 
 
 14 
 
15 
  \code{.MFclass} categorizes variables for this purpose.
 15 
  \code{.MFclass} categorizes variables for this purpose.
- 
 
 16 
 
- 
 
 17 
  \code{.getXlevels()} extracts factor levels from \code{\link{factor}} or
- 
 
 18 
  \code{\link{character}} variables.
16 
}
 19 
}
17 
\usage{
 20 
\usage{
18 
.checkMFClasses(cl, m, ordNotOK = FALSE)
 21 
.checkMFClasses(cl, m, ordNotOK = FALSE)
19 
.MFclass(x)
 22 
.MFclass(x)
20 
.getXlevels(Terms, m)
 23 
.getXlevels(Terms, m)
21 
}
 24 
}
22 
\arguments{
 25 
\arguments{
23 
  \item{cl}{a character vector of class descriptions to match.}
 26 
  \item{cl}{a character vector of class descriptions to match.}
24 
  \item{m}{a model frame.}
 27 
  \item{m}{a model frame (\code{\link{model.frame}()} result).}
25 
  \item{x}{any \R object.}
 28 
  \item{x}{any \R object.}
26 
  \item{ordNotOK}{logical: are ordered factors different?}
 29 
  \item{ordNotOK}{logical: are ordered factors different?}
27 
  \item{Terms}{a \code{terms} object.}
 30 
  \item{Terms}{a \code{terms} object (\code{\link{terms.object}}).}
28 
}
 31 
}
29 
\details{
 32 
\details{
30 
  For applications involving \code{model.matrix} such as linear models
 33 
  For applications involving \code{\link{model.matrix}()} such as linear models
31 
  we do not need to differentiate between ordered factors and factors as
 34 
  we do not need to differentiate between \emph{ordered} factors and factors as
32 
  although these affect the coding, the coding used in the fit is
 35 
  although these affect the coding, the coding used in the fit is
33 
  already recorded and imposed during prediction.  However, other
 36 
  already recorded and imposed during prediction.  However, other
34 
  applications may treat ordered factors differently:
 37 
  applications may treat ordered factors differently:
35 
  \code{\link[rpart]{rpart}} does, for example.
 38 
  \code{\link[rpart]{rpart}} does, for example.
36 
}
 39 
}
37 
\value{
 40 
\value{
- 
 
 41 
  \code{.checkMFClasses()} checks and either signals an error calling
- 
 
 42 
  \code{\link{stop}()} or returns \code{\link{NULL}} invisibly.
- 
 
 43 
 
38 
  \code{.MFclass} returns a character string, one of \code{"logical"},
 44 
  \code{.MFclass()} returns a character string, one of \code{"logical"},
39 
  \code{"ordered"}, \code{"factor"}, \code{"numeric"}, \code{"nmatrix.*"}
 45 
  \code{"ordered"}, \code{"factor"}, \code{"numeric"}, \code{"nmatrix.*"}
40 
  (a numeric matrix with a number of columns appended) or \code{"other"}.
 46 
  (a numeric matrix with a number of columns appended) or \code{"other"}.
41 
 
 47 
 
42 
  \code{.getXlevels} returns a named character vector, or \code{NULL}.
 48 
  \code{.getXlevels} returns a named \code{\link{list}} of character
- 
 
 49 
  vectors, possibly empty, or \code{\link{NULL}}.
- 
 
 50 
}
- 
 
 51 
\examples{
- 
 
 52 
sapply(warpbreaks, .MFclass) # "numeric" plus 2 x "factor"
- 
 
 53 
sapply(iris,       .MFclass) # 4 x "numeric" plus "factor"
- 
 
 54 
 
- 
 
 55 
mf <- model.frame(Sepal.Width ~ Species,      iris)
- 
 
 56 
mc <- model.frame(Sepal.Width ~ Sepal.Length, iris)
- 
 
 57 
 
- 
 
 58 
.checkMFClasses("numeric", mc) # nothing else
- 
 
 59 
.checkMFClasses(c("numeric", "factor"), mf)
- 
 
 60 
 
- 
 
 61 
## simple .getXlevels() cases :
- 
 
 62 
(xl <- .getXlevels(terms(mf), mf)) # a list with one entry " $ Species" with 3 levels:
- 
 
 63 
stopifnot(exprs = {
- 
 
 64 
  identical(xl$Species, levels(iris$Species))
- 
 
 65 
  identical(.getXlevels(terms(mc), mc), xl[0]) # a empty named list, as no factors
- 
 
 66 
  is.null(.getXlevels(terms(x~x), list(x=1)))
- 
 
 67 
})
43 
}
 68 
}
44 
\keyword{utilities}
 69 
\keyword{utilities}