mirror of
https://github.com/johrpan/geposan.git
synced 2025-10-26 10:47:25 +01:00
Small documentation improvements
This commit is contained in:
parent
3e19f53d2a
commit
44e170f5a6
4 changed files with 8 additions and 2 deletions
|
|
@ -56,6 +56,8 @@ clusteriness <- function(data, span = 500000, weight = 0.5) {
|
||||||
#' @param id Unique ID for the method and its results.
|
#' @param id Unique ID for the method and its results.
|
||||||
#' @param name Human readable name for the method.
|
#' @param name Human readable name for the method.
|
||||||
#' @param description Method description.
|
#' @param description Method description.
|
||||||
|
#' @param span See [clusteriness()].
|
||||||
|
#' @param weight See [clusteriness()].
|
||||||
#'
|
#'
|
||||||
#' @return An object of class `geposan_method`.
|
#' @return An object of class `geposan_method`.
|
||||||
#'
|
#'
|
||||||
|
|
|
||||||
|
|
@ -6,7 +6,7 @@
|
||||||
#' filtered based on how many species have data for them. Afterwards, species
|
#' filtered based on how many species have data for them. Afterwards, species
|
||||||
#' that still have many missing genes will also be excluded. See the different
|
#' that still have many missing genes will also be excluded. See the different
|
||||||
#' method functions for the available methods: [clustering()], [correlation()],
|
#' method functions for the available methods: [clustering()], [correlation()],
|
||||||
#' [neural()], [adjacency()] and [species_adjacency()].
|
#' [distance()], [neural()] and [random_forest()].
|
||||||
#'
|
#'
|
||||||
#' @param reference_gene_ids IDs of reference genes to compare to.
|
#' @param reference_gene_ids IDs of reference genes to compare to.
|
||||||
#' @param methods List of methods to apply.
|
#' @param methods List of methods to apply.
|
||||||
|
|
|
||||||
|
|
@ -18,6 +18,10 @@ clustering(
|
||||||
\item{name}{Human readable name for the method.}
|
\item{name}{Human readable name for the method.}
|
||||||
|
|
||||||
\item{description}{Method description.}
|
\item{description}{Method description.}
|
||||||
|
|
||||||
|
\item{span}{See \code{\link[=clusteriness]{clusteriness()}}.}
|
||||||
|
|
||||||
|
\item{weight}{See \code{\link[=clusteriness]{clusteriness()}}.}
|
||||||
}
|
}
|
||||||
\value{
|
\value{
|
||||||
An object of class \code{geposan_method}.
|
An object of class \code{geposan_method}.
|
||||||
|
|
|
||||||
|
|
@ -38,5 +38,5 @@ reference genes to be able to assess the results later. The genes will be
|
||||||
filtered based on how many species have data for them. Afterwards, species
|
filtered based on how many species have data for them. Afterwards, species
|
||||||
that still have many missing genes will also be excluded. See the different
|
that still have many missing genes will also be excluded. See the different
|
||||||
method functions for the available methods: \code{\link[=clustering]{clustering()}}, \code{\link[=correlation]{correlation()}},
|
method functions for the available methods: \code{\link[=clustering]{clustering()}}, \code{\link[=correlation]{correlation()}},
|
||||||
\code{\link[=neural]{neural()}}, \code{\link[=adjacency]{adjacency()}} and \code{\link[=species_adjacency]{species_adjacency()}}.
|
\code{\link[=distance]{distance()}}, \code{\link[=neural]{neural()}} and \code{\link[=random_forest]{random_forest()}}.
|
||||||
}
|
}
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue