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A compter du 1er avril, attention à vos pipelines :
Nouvelles limitations de Docker Hub
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SFCB
SISIR
Commits
42489aa2
Commit
42489aa2
authored
2 years ago
by
Nathalie Vialaneix
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added a quality function to the package
parent
5e0eb9d5
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R/SFCB.R
+0
-137
0 additions, 137 deletions
R/SFCB.R
man/SFCB.Rd
+11
-43
11 additions, 43 deletions
man/SFCB.Rd
with
11 additions
and
180 deletions
R/SFCB.R
+
0
−
137
View file @
42489aa2
...
...
@@ -204,140 +204,3 @@ sfcb <- function(X, Y, group.method = c("adjclust", "cclustofvar"),
return
(
out
)
}
# Methods for SFCB-class ####
#' @title Methods for SFCB object
#' @name SFCB
#' @export
#' @aliases summary.SFCB
#' @aliases print.SFCB
#' @aliases plot.SFCB
#' @aliases extract.SFCB
#' @aliases SFCB-class
#' @description Print or plot a summary of the result of \code{\link{sfcb}} (
#' \code{SFCB} object)
#' @param object a \code{SFCB} object
#' @param x a \code{SFCB} object
#' @param plot.type type of the plot. Default to \code{"dendrogram"}
#' @param ... not used
#' @param at numeric vector. Set of the number of intervals to extract for
#' \code{extract_at}
#' @author {Victor Picheny, \email{victor.picheny@inrae.fr}\cr
#' Remi Servien, \email{remi.servien@inrae.fr}\cr
#' Nathalie Vialaneix, \email{nathalie.vialaneix@inrae.fr}}
#' @seealso \code{\link{sfcb}}
#' data(truffles)
#' out1 <- sfcb(rainfall, truffles, group.method = "adjclust",
#' summary.method = "pls", selection.method = "relief")
#' summary(out1)
#'
#' \dontrun{
#' plot(out1)
#' plot(out1, plot.type = "selection")
#' plot(out1, plot.type = "importance")
#' }
#'
#' out2 <- sfcb(rainfall, truffles, group.method = "adjclust",
#' summary.method = "basics", selection.method = "none",
#' range.at = c(5, 7))
#' out3 <- extract_at(out2, at = 6)
#' summary(out3)
#'
summary.SFCB
<-
function
(
object
,
...
)
{
cat
(
"\nCall:\n"
)
print
(
object
$
call
)
cat
(
"\nSFCB object with:\n"
)
lobj
<-
length
(
object
$
groups
)
if
(
lobj
==
1
)
{
cat
(
" -"
,
length
(
unique
(
object
$
groups
[[
1
]])),
"interval(s)\n"
)
}
else
{
minl
<-
length
(
unique
(
object
$
groups
[[
1
]]))
maxl
<-
length
(
unique
(
object
$
groups
[[
lobj
]]))
cat
(
" -"
,
minl
,
"-"
,
maxl
,
"interval(s)\n"
)
}
if
(
"selected"
%in%
names
(
object
))
{
if
(
!
is.null
(
ncol
(
object
$
selected
[[
1
]])))
{
selected
<-
lapply
(
object
$
selected
,
function
(
alist
)
{
apply
(
alist
[,
2
:
3
],
1
,
sum
)
})
}
else
selected
<-
object
$
selected
if
(
lobj
==
1
)
{
selected
<-
object
$
groups
[[
1
]][
selected
[[
1
]]]
cat
(
" -"
,
length
(
unique
(
selected
)),
"selected interval(s)\n"
)
}
else
{
selected
<-
mapply
(
function
(
a
,
b
)
a
[
b
],
object
$
groups
,
selected
)
selected
<-
sapply
(
selected
,
function
(
x
)
length
(
unique
(
x
)))
cat
(
" -"
,
min
(
selected
),
"-"
,
max
(
selected
),
"selected interval(s)\n"
)
}
}
cat
(
" -"
,
nrow
(
object
$
mse
)
/
lobj
,
"repeats\n"
)
cat
(
" - MSE ranging in ["
,
min
(
object
$
mse
$
mse
),
", "
,
max
(
object
$
mse
$
mse
),
"]\n"
,
sep
=
""
)
if
(
"computational.times"
%in%
names
(
object
))
{
cat
(
" - computational time (total):"
,
sum
(
object
$
computational.times
),
"(seconds)\n\n"
)
}
return
(
invisible
(
NULL
))
}
#' @export
#' @rdname SFCB
print.SFCB
<-
function
(
x
,
...
)
{
summary
(
x
)
}
#' @rdname SFCB
#' @export
plot.SFCB
<-
function
(
x
,
plot.type
=
c
(
"dendrogram"
,
"selection"
,
"importance"
),
shape.imp
=
c
(
"boxplot"
,
"histogram"
),
sel.type
=
c
(
"importance"
,
"selection"
),
threshold
=
"none"
)
{
args
<-
list
(
"x"
=
x
)
plot.type
<-
match.arg
(
plot.type
)
args
$
"shape.imp"
<-
match.arg
(
shape.imp
)
args
$
"sel.type"
<-
match.arg
(
sel.type
)
args
$
"threshold"
<-
threshold
plot_function
<-
sprintf
(
"plot_%s"
,
plot.type
)
plot_function
<-
eval
(
as.name
(
plot_function
))
args
<-
args
[
names
(
formals
(
plot_function
))]
p
<-
do.call
(
"plot_function"
,
args
)
if
(
plot.type
!=
"dendrogram"
)
return
(
p
)
return
(
invisible
())
}
#' @rdname SFCB
#' @export
#'
extract_at
<-
function
(
object
,
at
)
{
UseMethod
(
"extract_at"
)
}
#' @export
extract_at.SFCB
<-
function
(
object
,
at
)
{
extract_call
<-
match.call
()
if
(
!
is.numeric
(
at
))
stop
(
"'at' must be a numeric vector"
)
orig_at
<-
names
(
object
$
groups
)
at
<-
sort
(
at
)
selected
<-
match
(
at
,
orig_at
)
if
(
anyNA
(
selected
))
{
stop
(
"'at' must be included in the range of tested groups for 'object'."
)
}
out
<-
object
out
$
groups
<-
out
$
groups
[
selected
]
out
$
summaries
<-
out
$
summaries
[
selected
]
out
$
mse
<-
out
$
mse
[
out
$
mse
$
clust
%in%
at
,
]
out
$
importances
<-
out
$
importances
[
selected
]
if
(
"computational.times"
%in%
names
(
out
))
out
$
"computational.times"
<-
NULL
if
(
"selected"
%in%
names
(
out
))
out
$
selected
<-
out
$
selected
[
selected
]
out
$
call
<-
extract_call
return
(
out
)
}
This diff is collapsed.
Click to expand it.
man/SFCB.Rd
+
11
−
43
View file @
42489aa2
% Generated by roxygen2: do not edit by hand
% Please edit documentation in
R/SFCB.R,
R/sfcb_methods.R
% Please edit documentation in R/sfcb_methods.R
\name{SFCB}
\alias{SFCB}
\alias{summary.SFCB}
\alias{print.SFCB}
\alias{plot.SFCB}
\alias{extract.SFCB}
\alias{
SFCB-class
}
\alias{extract
_at
.SFCB}
\alias{
quality.SFCB
}
\alias{extract_at}
\alias{quality}
\alias{SFCB-class}
\title{Methods for SFCB object}
\usage{
\method{summary}{SFCB}(object, ...)
...
...
@@ -25,20 +26,6 @@
extract_at(object, at)
\method{summary}{SFCB}(object, ...)
\method{print}{SFCB}(x, ...)
\method{plot}{SFCB}(
x,
plot.type = c("dendrogram", "selection", "importance"),
shape.imp = c("boxplot", "histogram"),
sel.type = c("importance", "selection"),
threshold = "none"
)
extract_at(object, at)
quality(object, ground_truth, threshold = NULL)
}
\arguments{
...
...
@@ -50,13 +37,16 @@ quality(object, ground_truth, threshold = NULL)
\item{plot.type}{type of the plot. Default to \code{"dendrogram"}}
\item{at}{numeric vector. Set of the number of intervals to extract for
\item{threshold}{numeric value. If not \code{NULL}, selection of variables to
compute qualities is based on a threshold of importance values
\code{extract_at}}
\item{at}{numeric vector. Set of the number of intervals to extract for}
\item{ground_truth}{numeric vector of ground truth. Target variables
to compute qualities correspond to non-zero entries of this vector}
}
\description{
Print or plot a summary of the result of \code{\link{sfcb}} (
\code{SFCB} object)
Print or plot a summary of the result of \code{\link{sfcb}} (
\code{SFCB} object)
}
...
...
@@ -73,24 +63,6 @@ plot(out1, plot.type = "selection")
plot(out1, plot.type = "importance")
}
out2 <- sfcb(rainfall, truffles, group.method = "adjclust",
summary.method = "basics", selection.method = "none",
range.at = c(5, 7))
out3 <- extract_at(out2, at = 6)
summary(out3)
\code{\link{sfcb}}
data(truffles)
out1 <- sfcb(rainfall, truffles, group.method = "adjclust",
summary.method = "pls", selection.method = "relief")
summary(out1)
\dontrun{
plot(out1)
plot(out1, plot.type = "selection")
plot(out1, plot.type = "importance")
}
out2 <- sfcb(rainfall, truffles, group.method = "adjclust",
summary.method = "basics", selection.method = "none",
range.at = c(5, 7))
...
...
@@ -98,10 +70,6 @@ out3 <- extract_at(out2, at = 6)
summary(out3)
}
\author{
{Victor Picheny, \email{victor.picheny@inrae.fr}\cr
Remi Servien, \email{remi.servien@inrae.fr}\cr
Nathalie Vialaneix, \email{nathalie.vialaneix@inrae.fr}}
{Victor Picheny, \email{victor.picheny@inrae.fr}\cr
Remi Servien, \email{remi.servien@inrae.fr}\cr
Nathalie Vialaneix, \email{nathalie.vialaneix@inrae.fr}}
...
...
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