[Distr-commits] r1447 - pkg/distrEx/man

[noreply at r-forge.r-project.org]

Author: stamats
Date: 2024-08-22 08:44:13 +0200 (Thu, 22 Aug 2024)
New Revision: 1447

Modified:
   pkg/distrEx/man/EmpiricalMVDistribution.Rd
Log:
wrong link

Modified: pkg/distrEx/man/EmpiricalMVDistribution.Rd
===================================================================
--- pkg/distrEx/man/EmpiricalMVDistribution.Rd	2024-08-19 16:23:04 UTC (rev 1446)
+++ pkg/distrEx/man/EmpiricalMVDistribution.Rd	2024-08-22 06:44:13 UTC (rev 1447)
@@ -1,49 +1,49 @@
-\name{EmpiricalMVDistribution}
-\alias{EmpiricalMVDistribution}
-
-\title{Generating function for mulitvariate discrete distribution}
-\description{
-  Generates an object of class \code{"DiscreteMVDistribution"}.
-}
-\usage{
-EmpiricalMVDistribution(data, Symmetry = NoSymmetry())
-}
-\arguments{
-  \item{data}{ numeric matrix with data where the rows are 
-    interpreted as observations. }
-  \item{Symmetry}{you may help \R in calculations if you tell it whether
-    the distribution is non-symmetric (default) or symmetric with respect
-    to a center.}
-}
-\details{
-  The function is a simple utility function providing a wrapper to the 
-  generating function \code{\link{DiscreteDistribution}}.
-  
-  Typical usages are
-  \preformatted{
-    EmpiricalMVDistribution(data)
-  }
-   
-  Identical rows are collapsed to unique support values. 
-  If \code{prob} is missing, all elements in \code{supp}
-  are equally weighted. 
-}
-\value{Object of class \code{"DiscreteMVDistribution"}}
-%\references{}
-\author{Matthias Kohl \email{Matthias.Kohl at stamats.de}}
-%\note{}
-\seealso{\code{\link{DiscreteMVDistribution}}}
-\examples{
-## generate some data
-X <- matrix(rnorm(50), ncol = 5)
-
-## empirical distribution of X
-D1 <- EmpiricalMVDistribution(data = X)
-support(D1)
-r(D1)(10)
-}
-\concept{multivariate distribution}
-\concept{empirical distribution}
-\keyword{distribution}
-\concept{S4 distribution class}
-\concept{generating function}
+\name{EmpiricalMVDistribution}
+\alias{EmpiricalMVDistribution}
+
+\title{Generating function for mulitvariate discrete distribution}
+\description{
+  Generates an object of class \code{"DiscreteMVDistribution"}.
+}
+\usage{
+EmpiricalMVDistribution(data, Symmetry = NoSymmetry())
+}
+\arguments{
+  \item{data}{ numeric matrix with data where the rows are 
+    interpreted as observations. }
+  \item{Symmetry}{you may help \R in calculations if you tell it whether
+    the distribution is non-symmetric (default) or symmetric with respect
+    to a center.}
+}
+\details{
+  The function is a simple utility function providing a wrapper to the 
+  generating function \code{\link{DiscreteMVDistribution}}.
+  
+  Typical usages are
+  \preformatted{
+    EmpiricalMVDistribution(data)
+  }
+   
+  Identical rows are collapsed to unique support values. 
+  If \code{prob} is missing, all elements in \code{supp}
+  are equally weighted. 
+}
+\value{Object of class \code{"DiscreteMVDistribution"}}
+%\references{}
+\author{Matthias Kohl \email{Matthias.Kohl at stamats.de}}
+%\note{}
+\seealso{\code{\link{DiscreteMVDistribution}}}
+\examples{
+## generate some data
+X <- matrix(rnorm(50), ncol = 5)
+
+## empirical distribution of X
+D1 <- EmpiricalMVDistribution(data = X)
+support(D1)
+r(D1)(10)
+}
+\concept{multivariate distribution}
+\concept{empirical distribution}
+\keyword{distribution}
+\concept{S4 distribution class}
+\concept{generating function}