WSL/SLF GitLab Repository

Commit 7c99be7d authored by Adrien Michel's avatar Adrien Michel
Browse files

Generated man and NAMESPACE

parent 0fffcc83
......@@ -19,6 +19,8 @@ export(get.mask.na)
export(get.ovelrapp.mask)
export(get.overlapp.netcdf)
export(mask.vectdata)
export(plt.error.pattern)
export(plt.error.pattern.calib)
export(plt.seasonnal.summary)
export(plt.seasonnal.summary.calib)
export(plt.seasonnal.summary.details)
......@@ -30,6 +32,7 @@ export(plt.snow.days.maps)
export(plt.snow.days.maps.calib)
export(plt.snow.season.length)
export(plt.snow.season.length.calib)
export(plt.spatial.correlation)
export(plt.spatial.correlation.calib)
export(read.asc)
export(read.mask.asc)
......
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/assessment_error_pattern.R
\name{plt.error.pattern}
\alias{plt.error.pattern}
\title{XXXXX}
\usage{
plt.error.pattern(
data.target,
data.training,
data.corrected,
out.plot.dir,
ncores
)
}
\arguments{
\item{data.target}{The target dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{data.training}{The training dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{data.corrected}{the corrected dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{out.plot.dir}{Path in which the RDS files should be saved. Three files are
created: snow_season_target, snow_season_training, snow_season_corrected}
\item{ncores}{Number of cores to use for parallel computation, using ncores =
1 defaults to serial computing}
\item{swe.threshold}{The threshold SWE value to define snow days}
}
\description{
\code{plt.snow.days.comparison} XXX
\code{\link{barplot()}}) XXXX
}
\author{
Adrien Michel, 2021 (WSL/SLF)
}
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/assessment_error_pattern.R
\name{plt.error.pattern.calib}
\alias{plt.error.pattern.calib}
\title{XXXXX}
\usage{
plt.error.pattern.calib(
data.target.calib,
data.training.calib,
data.corrected.calib,
data.target.valid,
data.training.valid,
data.corrected.valid,
out.plot.dir,
ncores
)
}
\arguments{
\item{out.plot.dir}{Path in which the RDS files should be saved. Three files are
created: snow_season_target, snow_season_training, snow_season_corrected}
\item{ncores}{Number of cores to use for parallel computation, using ncores =
1 defaults to serial computing}
\item{data.target}{The target dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{data.training}{The training dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{data.corrected}{the corrected dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{swe.threshold}{The threshold SWE value to define snow days}
}
\description{
\code{plt.snow.days.comparison} XXX
\code{\link{barplot()}}) XXXX
}
\author{
Adrien Michel, 2021 (WSL/SLF)
}
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/assessment_spatial_correlation.R
\name{plt.spatial.correlation}
\alias{plt.spatial.correlation}
\title{XXXXX}
\usage{
plt.spatial.correlation(
data.target,
data.training,
data.corrected,
out.plot.dir,
ncores = 1,
dist.threshold = 5
)
}
\arguments{
\item{data.target}{The target dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{data.training}{The training dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{data.corrected}{the corrected dataset (a vectdata object, see
\code{\link{vectorize.list()}})}
\item{out.plot.dir}{Path in which the RDS files should be saved. Three files are
created: snow_season_target, snow_season_training, snow_season_corrected}
\item{ncores}{Number of cores to use for parallel computation, using ncores =
1 defaults to serial computing}
\item{swe.threshold}{The threshold SWE value to define snow days}
}
\description{
\code{plt.snow.days.comparison} XXX
\code{\link{barplot()}}) XXXX
}
\author{
Adrien Michel, 2021 (WSL/SLF)
}
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