Files generated by the build package process.

NAMESPACE

 # Generated by roxygen2 (4.1.1): do not edit by hand
 
+export(apcMatrix)
 export(biasBox)
+export(equalizeLevels)
 export(knit2wpCrayon)
 export(loessGui)
 export(panel.segplot.by)

man/apcMatrix.Rd

+% Generated by roxygen2 (4.1.1): do not edit by hand
+% Please edit documentation in R/apcMatrix.R
+\name{apcMatrix}
+\alias{apcMatrix}
+\title{All pairwise comparisons matrix (Tukey contrasts)}
+\usage{
+apcMatrix(lfm, lev = NULL)
+}
+\arguments{
+\item{lfm}{a \eqn{k\times p} matrix where each line defines a linear
+    function to estimate a lsmean (or any linear function). In
+    general, these matrices are obtained using
+    \code{doBy::LSmatrix()}.}
+
+\item{lev}{a character vector with dimension equals to the numbers of
+    lines of \code{lfm} matrix (\eqn{k}). Default is \code{NULL} and
+    the row names of code{lfm} is used. If row names is also
+    \code{NULL}, an integer sequence is used to identify the
+    comparisons.}
+}
+\value{
+a \eqn{K\times p} matrix with the linear functions that
+    define all pairwise contrasts. \eqn{K} is \eqn{k\choose 2}.
+}
+\description{
+This function takes a matrix where each line defines a
+    linear function of the parameters to estimate a marginal mean
+    (aka least squares means) and return the matrix that define the
+    contrasts among these means. All pairwise contrasts are returned
+    (aka Tukey contrasts). The matrix with these contrasts can be
+    passed to \code{multcomp::glht()} to estimate them or used in
+    explicit matricial calculus.
+}
+\examples{
+## A matrix of linear functions corresponding to the cell means
+## parametrization.
+X <- diag(4)
+
+## If no rownames an integer sequence is used.
+rownames(X)
+apcMatrix(X)
+
+## With rownames, those are used.
+rownames(X) <- letters[nrow(X):1]
+apcMatrix(X)
+
+## Passing names by the argument `lev=`.
+apcMatrix(X, lev=LETTERS[1:nrow(X)])
+
+## Using the special case with attribute "grid" present in matrices
+## returned by doBy::LSmeans() and doBy::LSmatrix().
+attr(X, "grid") <- data.frame(n=LETTERS[1:nrow(X)])
+apcMatrix(X)
+}
+\author{
+Walmes Zeviani, \email{walmes@ufpr.br}
+}
+\seealso{
+\link[doBy]{LSmatrix}.
+}
+

man/equalizeLevels.Rd

+% Generated by roxygen2 (4.1.1): do not edit by hand
+% Please edit documentation in R/equalizeLevels.R
+\name{equalizeLevels}
+\alias{equalizeLevels}
+\title{Make that to data frames have the same factor levels}
+\usage{
+equalizeLevels(target, ref)
+}
+\arguments{
+\item{target}{the target data frame that will have factor levels
+reordered.}
+
+\item{ref}{the reference data frame that contains the desired level
+    order.}
+}
+\value{
+the first data data frame with the levels in a new order.
+}
+\description{
+If two data frames have factor or character columns with
+    the same name, those in the first will have the same level order
+    as those in the second. So, in terms of factor columns, these
+    data frames will have the same levels in the same
+    order. Character columns in the first will be converted to factor
+    if they aren't. This function is useful to assing to the data
+    frame returned in the \code{grid} attribute returned by
+    \code{doBy::LSmeans()} or \code{doBy::LSmatrix()} the same order
+    to the levels present in the data frame used to fit the model and
+    estimate the parameters.
+}
+\examples{
+a <- data.frame(
+    Species=as.character(sample(iris$Species, size=10, replace=TRUE)),
+    stringsAsFactors=FALSE)
+str(a)
+
+levels(a$Species)
+levels(iris$Species)
+
+b <- equalizeLevels(target=a, ref=iris)
+str(b)
+}
+\author{
+Walmes Zeviani, \email{walmes@ufpr.br}
+}
+\seealso{
+\link[doBy]{LSmeans}, \link[doBy]{LSmatrix}.
+}
+