[Distr-commits] r1086 - pkg/distrMod/man
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Mon Mar 7 15:58:22 CET 2016
Author: ruckdeschel
Date: 2016-03-07 15:58:22 +0100 (Mon, 07 Mar 2016)
New Revision: 1086
Modified:
pkg/distrMod/man/MDEstimator.Rd
pkg/distrMod/man/internalmdeHelpers.Rd
pkg/distrMod/man/internals-qqplot.Rd
pkg/distrMod/man/qqplot.Rd
Log:
distrMod: fixed some Rd files about qqplot
Modified: pkg/distrMod/man/MDEstimator.Rd
===================================================================
--- pkg/distrMod/man/MDEstimator.Rd 2016-01-21 11:52:57 UTC (rev 1085)
+++ pkg/distrMod/man/MDEstimator.Rd 2016-03-07 14:58:22 UTC (rev 1086)
@@ -74,7 +74,7 @@
%\note{}
\seealso{\code{\link{ParamFamily-class}}, \code{\link{ParamFamily}},
\code{\link{MCEstimator}}, \code{\link{MCEstimate-class}},
- \code{\link[MASS]{fitdistr}}, \code{\link{.CvMMDCovariance} }
+ \code{\link[MASS]{fitdistr}}, \code{\link{.CvMMDCovariance}}}
\examples{
## (empirical) Data
x <- rgamma(50, scale = 0.5, shape = 3)
Modified: pkg/distrMod/man/internalmdeHelpers.Rd
===================================================================
--- pkg/distrMod/man/internalmdeHelpers.Rd 2016-01-21 11:52:57 UTC (rev 1085)
+++ pkg/distrMod/man/internalmdeHelpers.Rd 2016-03-07 14:58:22 UTC (rev 1086)
@@ -28,13 +28,13 @@
\item{mu}{an object of class \code{UnivariateDistribution};
the distribution on the reals at which to integrate the squared
distance of the cdf's in the CvM-distance}
- \item{withplot}{logical; defaults to \code{FALSE}; if \code{TRUE} for diagnostic}
+ \item{withplot}{logical; defaults to \code{FALSE}; if \code{TRUE} for diagnostic
purposes plots the influence function of the CvM-MDE}
\item{withpreIC}{logical; should corresponding IC of the CvM-MDE be returned?}
\item{\dots}{currently not used}
\item{N}{integer; the number of grid points at which to evaluate the antiderivative
- in case of an absolutely continuous distribution; more precisely, internally}
- this becomes \eq{2N+1}}
+ in case of an absolutely continuous distribution; more precisely, internally
+ this becomes \eqn{2N+1}}
\item{rel.tol}{numeric; relative tolerance; currently not used}
\item{TruncQuantile}{numeric in (0,1); in case of an unbounded support of the
distribution the quantile level at which to cut the distribution}
Modified: pkg/distrMod/man/internals-qqplot.Rd
===================================================================
--- pkg/distrMod/man/internals-qqplot.Rd 2016-01-21 11:52:57 UTC (rev 1085)
+++ pkg/distrMod/man/internals-qqplot.Rd 2016-03-07 14:58:22 UTC (rev 1086)
@@ -9,7 +9,7 @@
These functions are used internally by qqplot of package distrMod.}
\usage{
-.labelprep(x,y,lab.pts,col.lbl,cex.lbl,which.lbs,which.Order,order.traf)
+.labelprep(x,y,lab.pts,col.lbl,cex.lbl,adj.lbl,which.lbs,which.Order,order.traf)
}
@@ -18,6 +18,7 @@
\item{y}{a (numeric) vector of same length as \code{x}}
\item{cex.lbl}{magnification factor for the plotted observation labels}
\item{col.lbl}{color for the plotted observation labels}
+\item{adj.lbl}{adj parameter for the plotted observation labels}
\item{lab.pts}{character or \code{NULL}; observation labels to be used}
\item{which.lbs}{integer or \code{NULL}; which observations shall be labelled}
\item{which.Order}{integer or \code{NULL}; which of the ordered (remaining) observations shall be labelled}
@@ -44,6 +45,7 @@
\code{lab} (the thinned out and ordered vector of labels \code{lab.pts}),
\code{col} (the thinned out and ordered vector of colors \code{col.lbs}),
\code{cex} (the thinned out and ordered vector of magnification factors \code{cex.lbs}).
+\code{adj} (the thinned out and ordered vector of adjacencies \code{adj.lbs}).
}
}
Modified: pkg/distrMod/man/qqplot.Rd
===================================================================
--- pkg/distrMod/man/qqplot.Rd 2016-01-21 11:52:57 UTC (rev 1085)
+++ pkg/distrMod/man/qqplot.Rd 2016-03-07 14:58:22 UTC (rev 1086)
@@ -18,7 +18,7 @@
col.sCI = "tomato2", lty.sCI = 4, lwd.sCI = 2, pch.sCI = par("pch"),
cex.sCI = par("cex"), added.points.CI = TRUE,
cex.pch = par("cex"), col.pch = par("col"),
- cex.lbl = par("cex"), col.lbl = par("col"), adj.lbl = NULL,
+ cex.lbl = par("cex"), col.lbl = par("col"), adj.lbl = par("adj"),
alpha.trsp = NA, jit.fac = 0, jit.tol = .Machine$double.eps,
check.NotInSupport = TRUE, col.NotInSupport = "red",
with.legend = TRUE, legend.bg = "white",
@@ -144,12 +144,54 @@
}
}
\value{
- As for function \code{\link[stats:qqnorm]{qqplot}} from package \pkg{stats}: a
- list with components
+ A list of elements containing the information needed to compute the
+ respective QQ plot, in particular it extends the elements of the
+ return value of function \code{\link[stats:qqnorm]{qqplot}}
+ from package \pkg{stats}, i.e., a
+ list with components \code{x} and \code{y} for x and y coordinates
+ of the plotted points; this list is of S3 class
+ \code{c("qqplotInfo","DiagnInfo")}, and more specifically it contains
\item{x}{The x coordinates of the points that were/would be plotted}
\item{y}{The corresponding quantiles of the second distribution,
\emph{including \code{\link{NA}}s}.}
- \item{crit}{A matrix with the lower and upper confidence bounds
+
+ \item{xy.0}{xy}
+ \item{y.0}{y}
+ \item{datax}{argument \code{datax} from the call.}
+ \item{withConf.pw}{argument \code{withConf.pw} from the call.}
+ \item{withConf.sim}{argument \code{withConf.sim} from the call.}
+ \item{alpha.CI}{argument \code{alpha.CI } from the call.}
+ \item{col.pCI}{argument \code{col.pCI} from the call.}
+ \item{lty.pCI}{argument \code{lty.pCI} from the call.}
+ \item{lwd.pCI}{argument \code{lwd.pCI} from the call.}
+ \item{pch.pCI}{argument \code{pch.pCI} from the call.}
+ \item{cex.pCI}{argument \code{cex.pCI} from the call.}
+ \item{col.sCI}{argument \code{col.sCI} from the call.}
+ \item{lty.sCI}{argument \code{lty.sCI} from the call.}
+ \item{lwd.sCI}{argument \code{lwd.sCI} from the call.}
+ \item{pch.sCI}{argument \code{pch.sCI} from the call.}
+ \item{cex.sCI}{argument \code{cex.sCI} from the call.}
+ \item{n}{argument \code{n} from the call.}
+ \item{exact.sCI}{argument \code{exact.sCI} from the call.}
+ \item{exact.pCI}{argument \code{exact.pCI} from the call.}
+ \item{nosym.pCI}{argument \code{nosym.pCI} from the call.}
+ \item{with.legend}{argument \code{with.legend} from the call.}
+ \item{legend.bg}{argument \code{legend.bg} from the call.}
+ \item{legend.pos}{argument \code{legend.pos} from the call.}
+ \item{legend.cex}{argument \code{legend.cex} from the call.}
+ \item{legend.pref}{argument \code{legend.pref} from the call.}
+ \item{legend.postf}{argument \code{legend.postf} from the call.}
+ \item{legend.alpha}{argument \code{legend.alpha} from the call.}
+ \item{debug}{argument \code{debug} from the call.}
+ \item{args.stats.qqplot}{the arguments of the call to \code{mcl} from the call.}
+ \item{withLab}{argument \code{withLab} from the call to
+ \code{stats::qqplot} from within this QQ plot method.}
+ \item{lbprep}{the return value of the label preparation from within
+ this function, i.e., a list with elements
+ \code{x0}, \code{y0}, \code{lab}, \code{col}, \code{cex},
+ \code{adj}.}
+
+ \item{crit}{A matrix with the lower and upper confidence bounds
(computed by \code{qqbounds}).}
\item{err}{logical vector of length 2.}
(elements \code{crit} and \code{err} are taken from the return
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