From 67a4e01dd8b7cfaba991a866ee786ce66d7f91b7 Mon Sep 17 00:00:00 2001
From: KALIOUDJOGLOU Daniel
<Daniel.Kalioudjoglou@developpement-durable.gouv.fr>
Date: Fri, 26 Mar 2021 15:02:45 +0100
Subject: [PATCH 01/16] premier essai de creation de graphique
rien ne fonctionne
message d'erreur avec install and restart qui ne reconnait pas la fonction pipe.
---
.gitignore | 1 +
DESCRIPTION | 4 +-
R/creer_graphe_1_1.R | 121 +++++++++++++++++++++++++
R/test.R | 53 +++++++++++
devstuff_history.R | 13 +++
tests/testthat/test-creer_graphe_1_1.R | 3 +
vignettes/.gitignore | 2 +
vignettes/aa-ch1-1.Rmd | 24 +++++
8 files changed, 220 insertions(+), 1 deletion(-)
create mode 100644 R/creer_graphe_1_1.R
create mode 100644 R/test.R
create mode 100644 tests/testthat/test-creer_graphe_1_1.R
create mode 100644 vignettes/.gitignore
create mode 100644 vignettes/aa-ch1-1.Rmd
diff --git a/.gitignore b/.gitignore
index 234f028..0d7f03b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,3 +3,4 @@
.RData
.Ruserdata
docs
+inst/doc
diff --git a/DESCRIPTION b/DESCRIPTION
index 8af3f3f..0a781ca 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -34,5 +34,7 @@ Remotes:
Depends:
R (>= 2.10)
Suggests:
- testthat (>= 3.0.0)
+ testthat (>= 3.0.0),
+ knitr
Config/testthat/edition: 3
+VignetteBuilder: knitr
diff --git a/R/creer_graphe_1_1.R b/R/creer_graphe_1_1.R
new file mode 100644
index 0000000..166093c
--- /dev/null
+++ b/R/creer_graphe_1_1.R
@@ -0,0 +1,121 @@
+#' Creation du graphique du taux d'artificialisation par région (Teruti-Lucas)
+#' @description Création du graphique représentant le taux d'artificialisation par région (Teruti-Lucas)
+#' @param teruti La table d'indicateurs préparée par dataprep() des donnees teruti issues du site agreste.agriculture.gouv.fr
+#' @param result La table de l'ensemble des autres indicateurs préparée par dataprep()
+#' @param annee Une année parmi les millésimes sélectionnables par l'utilisateur, au format numérique.
+#'
+#' @return Un diagramme en barres
+#'
+#' @importFrom dplyr filter select group_by mutate first ungroup pull
+#' @importFrom forcats fct_drop
+#' @importFrom ggiraph geom_point_interactive ggiraph
+#' @importFrom ggplot2 ggplot aes geom_line labs
+#' @importFrom gouvdown scale_color_gouv_discrete
+#'
+#' @export
+#'
+#' @examples
+#' creer_graphe_1_1(annee = 2018)
+
+
+creer_graphe_1_1 <- function(){
+
+ # Création de la table utile à la production du graphique
+ annee<-2018
+library(dplyr)
+ data_france <- teruti %>%
+ mutate(valeur=as.numeric(valeur)) %>%
+ # Filtres pour ne garder que les données de la région et du millésime sélectionné
+ dplyr::filter(.data$CodeZone == "FRMETRO",
+ .data$date == lubridate::make_date(annee,"01","01")) %>%
+ tidyr::spread(key=variable,value=valeur,fill=0) %>%
+ mutate (`Sols artificialisés` = `Autres sols artificialisés`+`Sols artificiels`+`Sols bâtis`+`Sols revêtus`,
+ `Taux d'artificialisation`=`Sols artificialisés`/`Tous sols`)
+ surf_artificialise_france <- data_france %>%
+ pull(`Sols artificialisés`)
+
+
+
+ data <- teruti %>%
+ mutate(valeur=as.numeric(valeur)) %>%
+ # Filtres pour ne garder que les données de la région et du millésime sélectionné
+ dplyr::filter(.data$TypeZone == "R\u00e9gions",
+ !(.data$CodeZone %in% c("01","02","03","04","06")),
+ .data$date == lubridate::make_date(annee,"01","01")) %>%
+ tidyr::spread(key=variable,value=valeur,fill=0) %>%
+ mutate (`Sols artificialisés` = `Autres sols artificialisés`+`Sols artificiels`+`Sols bâtis`+`Sols revêtus`,
+ `Taux d'artificialisation`=(`Sols artificialisés`/`Tous sols`*100),
+ `Part dans surface nationale`=`Sols artificialisés`/surf_artificialise_france*100) %>%
+ select(Zone,`Taux d'artificialisation`,`Part dans surface nationale`)
+
+
+ graph_1_1<-data %>%
+ ggplot2::ggplot(aes(x=Zone,y=`Taux d'artificialisation`,fill=I("blue"))) +
+ geom_bar(stat="identity")+
+ theme_classic()+
+ geom_text(aes(y=`Taux d'artificialisation`, ymax=50, label=paste0(round(`Taux d'artificialisation`,1),"%")),position= position_dodge(width=1), vjust=-0.5, size=3)+
+ labs(title="taux d'artificialisation par région (Teruti-Lucas)",subtitle="",x="",y="",
+ fill="")+
+ theme(axis.text.x = element_text(angle = 90))
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+# data <- teruti %>%
+# # Filtres pour ne garder que les données de la région et du millésime sélectionné
+# dplyr::filter(.data$TypeZone == "R\u00e9gions",
+# .data$date == lubridate::make_date(annee,"01","01"))
+# %>%
+# # Sélection des variables utiles pour le graphique
+# dplyr::select(.data$TypeZone, .data$Zone, .data$millesime, .data$nb_ls_actif) %>%
+# # Regroupement des valeurs selon les modalités de la variable `Zone` pour calcul des valeurs en base 100
+# dplyr::group_by(.data$Zone) %>%
+# # On s'assure que le dataset est ordonné correctement selon les années pour calcul des évolutions base 100
+# dplyr::arrange(as.character(.data$millesime)) %>%
+# # Création d'une variable calculant l'évolution en base 100 (depuis 4 année avant l'annee choisie)
+# dplyr::mutate(Evol_ls_B100 = 100*.data$nb_ls_actif / dplyr::first(.data$nb_ls_actif),
+# # Suppression des modalités de "millesime" non retenues
+# millesime = forcats::fct_drop(.data$millesime)) %>%
+# # Dégroupement des groupes réalisés
+# dplyr::ungroup()
+#
+#
+# # Création du graphique
+# graphe <- ggplot2::ggplot(data = tab, mapping = ggplot2::aes(x = .data$millesime, y = .data$Evol_ls_B100)) +
+# # Traçage des courbes lignes (non animées)
+# ggplot2::geom_line(mapping = ggplot2::aes(color = .data$Zone, group = .data$Zone)) +
+# # Traçage des points en interactif
+# ggiraph::geom_point_interactive(mapping = ggplot2::aes(color = .data$Zone), size = 2, data_id = row.names(tab),
+# tooltip = paste0("Nombre de logements sociaux : ",
+# format(dplyr::pull(tab, .data$nb_ls_actif), big.mark = " "))) +
+# # Paramétrage titre, sous-titre, axes ...
+# ggplot2::labs(title = "\u00c9volution du nombre de logements sociaux",
+# subtitle = paste0("Base 100 au 01/01/",
+# min(levels(dplyr::pull(tab, .data$millesime)))),
+# x = "",
+# y = "",
+# caption = caption(sources = 1, mil_rpls = annee)) +
+# ggplot2::theme(legend.position = "bottom") +
+# ggplot2::guides(color = ggplot2::guide_legend(title = "")) +
+# gouvdown::scale_color_gouv_discrete(palette = palette)
+# # Ajout de l'interactivté
+# ggiraph::ggiraph(code = print(graphe))
+#
+ }
diff --git a/R/test.R b/R/test.R
new file mode 100644
index 0000000..021a491
--- /dev/null
+++ b/R/test.R
@@ -0,0 +1,53 @@
+
+annee <- 2018
+
+data_france <- teruti %>%
+ mutate(valeur=as.numeric(valeur)) %>%
+ # Filtres pour ne garder que les données de la région et du millésime sélectionné
+ dplyr::filter(.data$CodeZone == "FRMETRO",
+ .data$date == lubridate::make_date(annee,"01","01")) %>%
+ tidyr::spread(key=variable,value=valeur,fill=0) %>%
+ mutate (`Sols artificialisés` = `Autres sols artificialisés`+`Sols artificiels`+`Sols bâtis`+`Sols revêtus`,
+ `Taux d'artificialisation`=`Sols artificialisés`/`Tous sols`)
+surf_artificialise_france <- data_france %>%
+ pull(`Sols artificialisés`)
+
+
+
+data <- teruti %>%
+ mutate(valeur=as.numeric(valeur)) %>%
+ # Filtres pour ne garder que les données de la région et du millésime sélectionné
+ dplyr::filter(.data$TypeZone == "R\u00e9gions",
+ !(.data$CodeZone %in% c("01","02","03","04","06")),
+ .data$date == lubridate::make_date(annee,"01","01")) %>%
+ tidyr::spread(key=variable,value=valeur,fill=0) %>%
+ mutate (`Sols artificialisés` = `Autres sols artificialisés`+`Sols artificiels`+`Sols bâtis`+`Sols revêtus`,
+ `Taux d'artificialisation`=(`Sols artificialisés`/`Tous sols`*100),
+ `Part dans surface nationale`=`Sols artificialisés`/surf_artificialise_france*100) %>%
+ select(Zone,`Taux d'artificialisation`,`Part dans surface nationale`)
+
+
+graph_1_1<-data %>%
+ ggplot2::ggplot(aes(x=Zone,y=`Taux d'artificialisation`,fill=I("blue"))) +
+ geom_bar(stat="identity")+
+ theme_classic()+
+ geom_text(aes(y=`Taux d'artificialisation`, ymax=50, label=paste0(round(`Taux d'artificialisation`,1),"%")),position= position_dodge(width=1), vjust=-0.5, size=3)+
+ labs(title="taux d'artificialisation par région (Teruti-Lucas)",subtitle="",x="",y="",
+ fill="")+
+theme(axis.text.x = element_text(angle = 90))
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/devstuff_history.R b/devstuff_history.R
index d423d6b..d381eb9 100644
--- a/devstuff_history.R
+++ b/devstuff_history.R
@@ -17,3 +17,16 @@ usethis::use_r("data")
usethis::use_build_ignore(".gitlab-ci.yml")
usethis::use_testthat()
usethis::use_test(name = "data")
+
+##creer_graphe_1_1
+usethis::use_vignette("aa-ch1-1","aa- Chapitre 1 Graphe 1")
+usethis::use_r("creer_graphe_1_1")
+usethis::use_test("creer_graphe_1_1")
+
+
+
+## A faire tourner avant chaque commit
+# usethis::use_r("globals.R") # liste les objets à passer en variables globales
+attachment::att_amend_desc()
+devtools::check()
+devtools::install()
diff --git a/tests/testthat/test-creer_graphe_1_1.R b/tests/testthat/test-creer_graphe_1_1.R
new file mode 100644
index 0000000..8849056
--- /dev/null
+++ b/tests/testthat/test-creer_graphe_1_1.R
@@ -0,0 +1,3 @@
+test_that("multiplication works", {
+ expect_equal(2 * 2, 4)
+})
diff --git a/vignettes/.gitignore b/vignettes/.gitignore
new file mode 100644
index 0000000..097b241
--- /dev/null
+++ b/vignettes/.gitignore
@@ -0,0 +1,2 @@
+*.html
+*.R
diff --git a/vignettes/aa-ch1-1.Rmd b/vignettes/aa-ch1-1.Rmd
new file mode 100644
index 0000000..204337c
--- /dev/null
+++ b/vignettes/aa-ch1-1.Rmd
@@ -0,0 +1,24 @@
+---
+title: "aa- Chapitre 1 Graphe 1"
+output: rmarkdown::html_vignette
+vignette: >
+ %\VignetteIndexEntry{aa- Chapitre 1 Graphe 1}
+ %\VignetteEngine{knitr::rmarkdown}
+ %\VignetteEncoding{UTF-8}
+---
+
+```{r, include = FALSE}
+knitr::opts_chunk$set(
+ collapse = TRUE,
+ comment = "#>"
+)
+```
+# Descriptif
+La fonction `creer_graphe_1_1()` produit le graphique des taux d'artificialisation par région (Teruti-Lucas).
+
+```{r setup}
+library(propre.artificialisation)
+```
+```{r setup}
+creer_graphe_1_1()
+```
--
GitLab
From b5bb2121434d2e6bdfa202c6dc57eb7d61b8d905 Mon Sep 17 00:00:00 2001
From: KALIOUDJOGLOU Daniel
<Daniel.Kalioudjoglou@developpement-durable.gouv.fr>
Date: Fri, 26 Mar 2021 15:26:51 +0100
Subject: [PATCH 02/16] 2e commit apres divers essais
---
DESCRIPTION | 3 ++-
R/utils-pipe.R | 14 ++++++++++++++
2 files changed, 16 insertions(+), 1 deletion(-)
create mode 100644 R/utils-pipe.R
diff --git a/DESCRIPTION b/DESCRIPTION
index 0a781ca..89cf224 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -27,7 +27,8 @@ Imports:
ggplot2,
COGiter (>= 0.0.7),
dplyr,
- sf
+ sf,
+ magrittr
Remotes:
maeltheuliere/COGiter,
spyrales/gouvdown
diff --git a/R/utils-pipe.R b/R/utils-pipe.R
new file mode 100644
index 0000000..fd0b1d1
--- /dev/null
+++ b/R/utils-pipe.R
@@ -0,0 +1,14 @@
+#' Pipe operator
+#'
+#' See \code{magrittr::\link[magrittr:pipe]{\%>\%}} for details.
+#'
+#' @name %>%
+#' @rdname pipe
+#' @keywords internal
+#' @export
+#' @importFrom magrittr %>%
+#' @usage lhs \%>\% rhs
+#' @param lhs A value or the magrittr placeholder.
+#' @param rhs A function call using the magrittr semantics.
+#' @return The result of calling `rhs(lhs)`.
+NULL
--
GitLab
From 383f293840d575d7f7b86868fcd503159e7df309 Mon Sep 17 00:00:00 2001
From: Juliette Engelaere-Lefebvre
<juliette.engelaere@developpement-durable.gouv.fr>
Date: Fri, 26 Mar 2021 16:09:00 +0100
Subject: [PATCH 03/16] devtools::use_pipe
---
.Rbuildignore | 2 +
DESCRIPTION | 38 +++++++++++--------
NAMESPACE | 18 +++++++++
devstuff_history.R | 4 ++
.../skeleton/skeleton.Rmd | 18 +++++++++
.../template.yaml | 4 ++
man/creer_graphe_1_1.Rd | 24 ++++++++++++
man/pipe.Rd | 20 ++++++++++
vignettes/.gitignore | 2 +-
vignettes/aa-ch1-1.Rmd | 5 ++-
{R => vignettes}/test.R | 0
11 files changed, 116 insertions(+), 19 deletions(-)
create mode 100644 inst/rmarkdown/templates/publication-artificialisation/skeleton/skeleton.Rmd
create mode 100644 inst/rmarkdown/templates/publication-artificialisation/template.yaml
create mode 100644 man/creer_graphe_1_1.Rd
create mode 100644 man/pipe.Rd
rename {R => vignettes}/test.R (100%)
diff --git a/.Rbuildignore b/.Rbuildignore
index c8b6d78..7bcad2d 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -9,3 +9,5 @@
^_pkgdown\.yml$
^docs$
^pkgdown$
+^test\.R$
+^vignette/test\.R$
diff --git a/DESCRIPTION b/DESCRIPTION
index 89cf224..9ee154c 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -15,27 +15,33 @@ Authors@R:
role = c("aut", "cre"),
email = "mael.theuliere@developpement-durable.gouv.fr")
)
-Description: The goal of propre.artificialisation is to produce a publication on land use in Pays de la Loire.
+Description: The goal of propre.artificialisation is to produce
+ a publication on land use in Pays de la Loire.
License: GPL (>= 3)
-Encoding: UTF-8
-LazyData: true
-Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.1.1
+Depends:
+ R (>= 2.10)
Imports:
- rmarkdown,
- gouvdown (>= 0.0.0.9000),
+ dplyr,
+ forcats,
+ ggiraph,
ggplot2,
+ gouvdown (>= 0.0.0.9000),
+ lubridate,
+ magrittr,
+ tidyr,
COGiter (>= 0.0.7),
- dplyr,
sf,
- magrittr
-Remotes:
- maeltheuliere/COGiter,
- spyrales/gouvdown
-Depends:
- R (>= 2.10)
+ rmarkdown
Suggests:
- testthat (>= 3.0.0),
+ knitr,
+ testthat (>= 3.0.0)
+VignetteBuilder:
knitr
+Remotes:
+ spyrales/gouvdown,
+ maeltheuliere/COGiter
Config/testthat/edition: 3
-VignetteBuilder: knitr
+Encoding: UTF-8
+LazyData: true
+Roxygen: list(markdown = TRUE)
+RoxygenNote: 7.1.1
diff --git a/NAMESPACE b/NAMESPACE
index 6ae9268..c7b1c5e 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,2 +1,20 @@
# Generated by roxygen2: do not edit by hand
+export("%>%")
+export(creer_graphe_1_1)
+importFrom(dplyr,filter)
+importFrom(dplyr,first)
+importFrom(dplyr,group_by)
+importFrom(dplyr,mutate)
+importFrom(dplyr,pull)
+importFrom(dplyr,select)
+importFrom(dplyr,ungroup)
+importFrom(forcats,fct_drop)
+importFrom(ggiraph,geom_point_interactive)
+importFrom(ggiraph,ggiraph)
+importFrom(ggplot2,aes)
+importFrom(ggplot2,geom_line)
+importFrom(ggplot2,ggplot)
+importFrom(ggplot2,labs)
+importFrom(gouvdown,scale_color_gouv_discrete)
+importFrom(magrittr,"%>%")
diff --git a/devstuff_history.R b/devstuff_history.R
index d381eb9..be6c05a 100644
--- a/devstuff_history.R
+++ b/devstuff_history.R
@@ -1,11 +1,15 @@
usethis::create_package(".")
usethis::use_build_ignore("devstuff_history.R")
+usethis::use_build_ignore("vignette/test.R")
usethis::use_gpl3_license()
usethis::use_readme_rmd()
+usethis::use_pipe()
usethis::use_package("rmarkdown")
usethis::use_package("gouvdown")
usethis::use_package("ggplot2")
usethis::use_package("dplyr")
+usethis::use_package("forcats")
+usethis::use_package("ggiraph")
usethis::use_package("sf")
usethis::use_dev_package("COGiter",remote = "maeltheuliere/COGiter")
usethis::use_dev_package("gouvdown",remote = "spyrales/gouvdown")
diff --git a/inst/rmarkdown/templates/publication-artificialisation/skeleton/skeleton.Rmd b/inst/rmarkdown/templates/publication-artificialisation/skeleton/skeleton.Rmd
new file mode 100644
index 0000000..2dc05bf
--- /dev/null
+++ b/inst/rmarkdown/templates/publication-artificialisation/skeleton/skeleton.Rmd
@@ -0,0 +1,18 @@
+---
+title: "Template Title"
+author: "Your Name"
+date: "The Date"
+output: output_format
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE)
+```
+
+## Adding an RMarkdown Template
+
+This file is what a user will see when they select your template. Make sure that you update the fields in the yaml header. In particular you will want to update the `output` field to whatever format your template requires.
+
+This is a good place to demonstrate special features that your template provides. Ideally it should knit out-of-the-box, or at least contain clear instructions as to what needs changing.
+
+Finally, be sure to remove this message!
diff --git a/inst/rmarkdown/templates/publication-artificialisation/template.yaml b/inst/rmarkdown/templates/publication-artificialisation/template.yaml
new file mode 100644
index 0000000..d3a5efb
--- /dev/null
+++ b/inst/rmarkdown/templates/publication-artificialisation/template.yaml
@@ -0,0 +1,4 @@
+name: publication artificialisation
+description: >
+ Template Rmarkdown pour la publication sur l'artificialisation des sols en Pays de la Loire
+create_dir: FALSE
diff --git a/man/creer_graphe_1_1.Rd b/man/creer_graphe_1_1.Rd
new file mode 100644
index 0000000..3970b68
--- /dev/null
+++ b/man/creer_graphe_1_1.Rd
@@ -0,0 +1,24 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/creer_graphe_1_1.R
+\name{creer_graphe_1_1}
+\alias{creer_graphe_1_1}
+\title{Creation du graphique du taux d'artificialisation par région (Teruti-Lucas)}
+\usage{
+creer_graphe_1_1()
+}
+\arguments{
+\item{teruti}{La table d'indicateurs préparée par dataprep() des donnees teruti issues du site agreste.agriculture.gouv.fr}
+
+\item{result}{La table de l'ensemble des autres indicateurs préparée par dataprep()}
+
+\item{annee}{Une année parmi les millésimes sélectionnables par l'utilisateur, au format numérique.}
+}
+\value{
+Un diagramme en barres
+}
+\description{
+Création du graphique représentant le taux d'artificialisation par région (Teruti-Lucas)
+}
+\examples{
+creer_graphe_1_1(annee = 2018)
+}
diff --git a/man/pipe.Rd b/man/pipe.Rd
new file mode 100644
index 0000000..a648c29
--- /dev/null
+++ b/man/pipe.Rd
@@ -0,0 +1,20 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utils-pipe.R
+\name{\%>\%}
+\alias{\%>\%}
+\title{Pipe operator}
+\usage{
+lhs \%>\% rhs
+}
+\arguments{
+\item{lhs}{A value or the magrittr placeholder.}
+
+\item{rhs}{A function call using the magrittr semantics.}
+}
+\value{
+The result of calling \code{rhs(lhs)}.
+}
+\description{
+See \code{magrittr::\link[magrittr:pipe]{\%>\%}} for details.
+}
+\keyword{internal}
diff --git a/vignettes/.gitignore b/vignettes/.gitignore
index 097b241..3432c3f 100644
--- a/vignettes/.gitignore
+++ b/vignettes/.gitignore
@@ -1,2 +1,2 @@
*.html
-*.R
+
diff --git a/vignettes/aa-ch1-1.Rmd b/vignettes/aa-ch1-1.Rmd
index 204337c..c875d1b 100644
--- a/vignettes/aa-ch1-1.Rmd
+++ b/vignettes/aa-ch1-1.Rmd
@@ -19,6 +19,7 @@ La fonction `creer_graphe_1_1()` produit le graphique des taux d'artificialisati
```{r setup}
library(propre.artificialisation)
```
-```{r setup}
-creer_graphe_1_1()
+
+```{r gr1}
+# creer_graphe_1_1()
```
diff --git a/R/test.R b/vignettes/test.R
similarity index 100%
rename from R/test.R
rename to vignettes/test.R
--
GitLab
From aa2bb2c2e4de97044c7d0e7ec2cbd2052be5e936 Mon Sep 17 00:00:00 2001
From: KALIOUDJOGLOU Daniel
<Daniel.Kalioudjoglou@developpement-durable.gouv.fr>
Date: Tue, 30 Mar 2021 17:18:41 +0200
Subject: [PATCH 04/16] creation du graphique du taux d'artificialisation
---
DESCRIPTION | 3 +-
R/creer_graphe_1_1.R | 111 ++++++-------------------
devstuff_history.R | 1 +
man/creer_graphe_1_1.Rd | 13 +--
tests/testthat/test-creer_graphe_1_1.R | 11 ++-
vignettes/aa-ch1-1.Rmd | 6 +-
vignettes/test.R | 96 +++++++++++++--------
7 files changed, 103 insertions(+), 138 deletions(-)
diff --git a/DESCRIPTION b/DESCRIPTION
index 9ee154c..9b6ab55 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -31,7 +31,8 @@ Imports:
tidyr,
COGiter (>= 0.0.7),
sf,
- rmarkdown
+ rmarkdown,
+ tricky
Suggests:
knitr,
testthat (>= 3.0.0)
diff --git a/R/creer_graphe_1_1.R b/R/creer_graphe_1_1.R
index 166093c..744f3a9 100644
--- a/R/creer_graphe_1_1.R
+++ b/R/creer_graphe_1_1.R
@@ -1,8 +1,5 @@
-#' Creation du graphique du taux d'artificialisation par région (Teruti-Lucas)
-#' @description Création du graphique représentant le taux d'artificialisation par région (Teruti-Lucas)
-#' @param teruti La table d'indicateurs préparée par dataprep() des donnees teruti issues du site agreste.agriculture.gouv.fr
-#' @param result La table de l'ensemble des autres indicateurs préparée par dataprep()
-#' @param annee Une année parmi les millésimes sélectionnables par l'utilisateur, au format numérique.
+#' Creation du graphique du taux d'artificialisation par region (Teruti-Lucas)
+#' @description Creation du graphique representant le taux d'artificialisation par region (Teruti-Lucas)
#'
#' @return Un diagramme en barres
#'
@@ -15,107 +12,49 @@
#' @export
#'
#' @examples
-#' creer_graphe_1_1(annee = 2018)
+#' creer_graphe_1_1()
creer_graphe_1_1 <- function(){
- # Création de la table utile à la production du graphique
+ # Creation de la table utile a la production du graphique
annee<-2018
-library(dplyr)
data_france <- teruti %>%
- mutate(valeur=as.numeric(valeur)) %>%
- # Filtres pour ne garder que les données de la région et du millésime sélectionné
+ mutate(valeur=as.numeric(.data$valeur)) %>%
dplyr::filter(.data$CodeZone == "FRMETRO",
.data$date == lubridate::make_date(annee,"01","01")) %>%
- tidyr::spread(key=variable,value=valeur,fill=0) %>%
- mutate (`Sols artificialisés` = `Autres sols artificialisés`+`Sols artificiels`+`Sols bâtis`+`Sols revêtus`,
- `Taux d'artificialisation`=`Sols artificialisés`/`Tous sols`)
+ tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
+ tricky::set_standard_names() %>%
+ mutate ( sols_artificialises = .data$autres_sols_artificialises +.data$sols_artificiels+.data$sols_batis+.data$sols_revetus,
+ taux_artificialisation=.data$sols_artificialises/.data$tous_sols*100)
surf_artificialise_france <- data_france %>%
- pull(`Sols artificialisés`)
+ dplyr::pull(.data$sols_artificialises)
data <- teruti %>%
- mutate(valeur=as.numeric(valeur)) %>%
- # Filtres pour ne garder que les données de la région et du millésime sélectionné
+ mutate(valeur=as.numeric(.data$valeur)) %>%
+ # Filtres pour ne garder que les donnees de la region et du millesime sélectionne
dplyr::filter(.data$TypeZone == "R\u00e9gions",
!(.data$CodeZone %in% c("01","02","03","04","06")),
.data$date == lubridate::make_date(annee,"01","01")) %>%
- tidyr::spread(key=variable,value=valeur,fill=0) %>%
- mutate (`Sols artificialisés` = `Autres sols artificialisés`+`Sols artificiels`+`Sols bâtis`+`Sols revêtus`,
- `Taux d'artificialisation`=(`Sols artificialisés`/`Tous sols`*100),
- `Part dans surface nationale`=`Sols artificialisés`/surf_artificialise_france*100) %>%
- select(Zone,`Taux d'artificialisation`,`Part dans surface nationale`)
+ tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
+ tricky::set_standard_names() %>%
+ mutate (sols_artificialises = .data$autres_sols_artificialises +.data$sols_artificiels+.data$sols_batis+.data$sols_revetus,
+ taux_artificialisation=.data$sols_artificialises/.data$tous_sols*100,
+ part_dans_surface_nationale=sols_artificialises/surf_artificialise_france*100) %>%
+ select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale)
graph_1_1<-data %>%
- ggplot2::ggplot(aes(x=Zone,y=`Taux d'artificialisation`,fill=I("blue"))) +
- geom_bar(stat="identity")+
- theme_classic()+
- geom_text(aes(y=`Taux d'artificialisation`, ymax=50, label=paste0(round(`Taux d'artificialisation`,1),"%")),position= position_dodge(width=1), vjust=-0.5, size=3)+
- labs(title="taux d'artificialisation par région (Teruti-Lucas)",subtitle="",x="",y="",
- fill="")+
- theme(axis.text.x = element_text(angle = 90))
+ ggplot2::ggplot(ggplot2::aes(x=.data$zone,y=.data$taux_artificialisation,fill=I("blue"))) +
+ ggplot2::geom_bar(stat="identity")+
+ ggplot2::theme_classic()+
+ ggplot2::geom_text(ggplot2::aes(y=taux_artificialisation, ymax=50, label=paste0(round(taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=-0.5, size=3)+
+ ggplot2::labs(title="taux d'artificialisation par r\u00e9gion (Teruti-Lucas)",subtitle="",x="",y="",
+ fill="")+
+ ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90))
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-# data <- teruti %>%
-# # Filtres pour ne garder que les données de la région et du millésime sélectionné
-# dplyr::filter(.data$TypeZone == "R\u00e9gions",
-# .data$date == lubridate::make_date(annee,"01","01"))
-# %>%
-# # Sélection des variables utiles pour le graphique
-# dplyr::select(.data$TypeZone, .data$Zone, .data$millesime, .data$nb_ls_actif) %>%
-# # Regroupement des valeurs selon les modalités de la variable `Zone` pour calcul des valeurs en base 100
-# dplyr::group_by(.data$Zone) %>%
-# # On s'assure que le dataset est ordonné correctement selon les années pour calcul des évolutions base 100
-# dplyr::arrange(as.character(.data$millesime)) %>%
-# # Création d'une variable calculant l'évolution en base 100 (depuis 4 année avant l'annee choisie)
-# dplyr::mutate(Evol_ls_B100 = 100*.data$nb_ls_actif / dplyr::first(.data$nb_ls_actif),
-# # Suppression des modalités de "millesime" non retenues
-# millesime = forcats::fct_drop(.data$millesime)) %>%
-# # Dégroupement des groupes réalisés
-# dplyr::ungroup()
-#
-#
-# # Création du graphique
-# graphe <- ggplot2::ggplot(data = tab, mapping = ggplot2::aes(x = .data$millesime, y = .data$Evol_ls_B100)) +
-# # Traçage des courbes lignes (non animées)
-# ggplot2::geom_line(mapping = ggplot2::aes(color = .data$Zone, group = .data$Zone)) +
-# # Traçage des points en interactif
-# ggiraph::geom_point_interactive(mapping = ggplot2::aes(color = .data$Zone), size = 2, data_id = row.names(tab),
-# tooltip = paste0("Nombre de logements sociaux : ",
-# format(dplyr::pull(tab, .data$nb_ls_actif), big.mark = " "))) +
-# # Paramétrage titre, sous-titre, axes ...
-# ggplot2::labs(title = "\u00c9volution du nombre de logements sociaux",
-# subtitle = paste0("Base 100 au 01/01/",
-# min(levels(dplyr::pull(tab, .data$millesime)))),
-# x = "",
-# y = "",
-# caption = caption(sources = 1, mil_rpls = annee)) +
-# ggplot2::theme(legend.position = "bottom") +
-# ggplot2::guides(color = ggplot2::guide_legend(title = "")) +
-# gouvdown::scale_color_gouv_discrete(palette = palette)
-# # Ajout de l'interactivté
-# ggiraph::ggiraph(code = print(graphe))
-#
}
diff --git a/devstuff_history.R b/devstuff_history.R
index be6c05a..21bcdff 100644
--- a/devstuff_history.R
+++ b/devstuff_history.R
@@ -11,6 +11,7 @@ usethis::use_package("dplyr")
usethis::use_package("forcats")
usethis::use_package("ggiraph")
usethis::use_package("sf")
+usethis::use_package("tricky")
usethis::use_dev_package("COGiter",remote = "maeltheuliere/COGiter")
usethis::use_dev_package("gouvdown",remote = "spyrales/gouvdown")
usethis::use_rmarkdown_template(template_name = "publication artificialisation",
diff --git a/man/creer_graphe_1_1.Rd b/man/creer_graphe_1_1.Rd
index 3970b68..8c38912 100644
--- a/man/creer_graphe_1_1.Rd
+++ b/man/creer_graphe_1_1.Rd
@@ -2,23 +2,16 @@
% Please edit documentation in R/creer_graphe_1_1.R
\name{creer_graphe_1_1}
\alias{creer_graphe_1_1}
-\title{Creation du graphique du taux d'artificialisation par région (Teruti-Lucas)}
+\title{Creation du graphique du taux d'artificialisation par region (Teruti-Lucas)}
\usage{
creer_graphe_1_1()
}
-\arguments{
-\item{teruti}{La table d'indicateurs préparée par dataprep() des donnees teruti issues du site agreste.agriculture.gouv.fr}
-
-\item{result}{La table de l'ensemble des autres indicateurs préparée par dataprep()}
-
-\item{annee}{Une année parmi les millésimes sélectionnables par l'utilisateur, au format numérique.}
-}
\value{
Un diagramme en barres
}
\description{
-Création du graphique représentant le taux d'artificialisation par région (Teruti-Lucas)
+Creation du graphique representant le taux d'artificialisation par region (Teruti-Lucas)
}
\examples{
-creer_graphe_1_1(annee = 2018)
+creer_graphe_1_1()
}
diff --git a/tests/testthat/test-creer_graphe_1_1.R b/tests/testthat/test-creer_graphe_1_1.R
index 8849056..d417a8e 100644
--- a/tests/testthat/test-creer_graphe_1_1.R
+++ b/tests/testthat/test-creer_graphe_1_1.R
@@ -1,3 +1,8 @@
-test_that("multiplication works", {
- expect_equal(2 * 2, 4)
-})
+
+ test_that("creer_graphe_1_1 fonctionne", {
+
+ # Test que le graphe est un ggplot
+ objet <- creer_graphe_1_1()
+ testthat::expect_equal(attr(objet, "class"), c("gg","ggplot"))
+
+ })
diff --git a/vignettes/aa-ch1-1.Rmd b/vignettes/aa-ch1-1.Rmd
index c875d1b..3dce576 100644
--- a/vignettes/aa-ch1-1.Rmd
+++ b/vignettes/aa-ch1-1.Rmd
@@ -14,12 +14,10 @@ knitr::opts_chunk$set(
)
```
# Descriptif
-La fonction `creer_graphe_1_1()` produit le graphique des taux d'artificialisation par région (Teruti-Lucas).
+La fonction `creer_graphe_1_1()` produit le graphique des taux d'artificialisation par region (Teruti-Lucas).
```{r setup}
library(propre.artificialisation)
-```
-```{r gr1}
-# creer_graphe_1_1()
+ creer_graphe_1_1()
```
diff --git a/vignettes/test.R b/vignettes/test.R
index 021a491..adcf9d5 100644
--- a/vignettes/test.R
+++ b/vignettes/test.R
@@ -1,53 +1,81 @@
-
+library(dplyr)
annee <- 2018
+
+
+
+ # # Creation de la table utile a la production du graphique
+ # annee<-2018
+ # data_france <- teruti %>%
+ # mutate(valeur=as.numeric(valeur)) %>%
+ # dplyr::filter(.data$CodeZone == "FRMETRO",
+ # .data$date == lubridate::make_date(annee,"01","01")) %>%
+ # mutate(artificialisation = case_when(
+ # .data$variable == "Tous sols" ~ "Tous sols",
+ # .data$variable == "Sols bâtis" ~ "Sols artificialisés",
+ # .data$variable == "Autres sols artificialisés" ~ "Sols artificialisés",
+ # .data$variable == "Sols artificiels" ~ "Sols artificialisés",
+ # TRUE ~ "Autres sols"))%>%
+ # dplyr::group_by(.data$artificialisation)%>%
+ # dplyr::summarise(valeur=sum(valeur,na.rm=T))%>%
+ # filter (.data$artificialisation =="Sols artificialisés") %>%
+ # dplyr::pull(.data$valeur)
+ #
+ #
+ # data <- teruti %>%
+ # mutate(valeur=as.numeric(valeur)) %>%
+ # # Filtres pour ne garder que les donnees de la region et du millesime sélectionne
+ # dplyr::filter(.data$TypeZone == "R\u00e9gions",
+ # !(.data$CodeZone %in% c("01","02","03","04","06")),
+ # .data$date == lubridate::make_date(annee,"01","01")) %>%
+ # mutate(artificialisation = case_when(
+ # .data$variable == "Tous sols" ~ "Tous sols",
+ # .data$variable == "Sols bâtis" ~ "Sols artificialisés",
+ # .data$variable == "Autres sols artificialisés" ~ "Sols artificialisés",
+ # .data$variable == "Sols artificiels" ~ "Sols artificialisés",
+ # TRUE ~ "Autres sols")
+ # )%>%
+ # group_by(.data$TypeZone,.data$CodeZone,.data$Zone,.data$date, .data$artificialisation)%>%
+ # summarise(valeur=sum(valeur,na.rm=T))
+
+
+# Creation de la table utile a la production du graphique
+annee<-2018
+
data_france <- teruti %>%
- mutate(valeur=as.numeric(valeur)) %>%
- # Filtres pour ne garder que les données de la région et du millésime sélectionné
+ mutate(valeur=as.numeric(.data$valeur)) %>%
dplyr::filter(.data$CodeZone == "FRMETRO",
.data$date == lubridate::make_date(annee,"01","01")) %>%
- tidyr::spread(key=variable,value=valeur,fill=0) %>%
- mutate (`Sols artificialisés` = `Autres sols artificialisés`+`Sols artificiels`+`Sols bâtis`+`Sols revêtus`,
- `Taux d'artificialisation`=`Sols artificialisés`/`Tous sols`)
+ tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
+ tricky::set_standard_names() %>%
+ mutate ( sols_artificialises = .data$autres_sols_artificialises +.data$sols_artificiels+.data$sols_batis+.data$sols_revetus,
+ taux_artificialisation=.data$sols_artificialises/.data$tous_sols*100)
surf_artificialise_france <- data_france %>%
- pull(`Sols artificialisés`)
+ dplyr::pull(.data$sols_artificialises)
data <- teruti %>%
- mutate(valeur=as.numeric(valeur)) %>%
- # Filtres pour ne garder que les données de la région et du millésime sélectionné
+ mutate(valeur=as.numeric(.data$valeur)) %>%
+ # Filtres pour ne garder que les donnees de la region et du millesime sélectionne
dplyr::filter(.data$TypeZone == "R\u00e9gions",
!(.data$CodeZone %in% c("01","02","03","04","06")),
.data$date == lubridate::make_date(annee,"01","01")) %>%
- tidyr::spread(key=variable,value=valeur,fill=0) %>%
- mutate (`Sols artificialisés` = `Autres sols artificialisés`+`Sols artificiels`+`Sols bâtis`+`Sols revêtus`,
- `Taux d'artificialisation`=(`Sols artificialisés`/`Tous sols`*100),
- `Part dans surface nationale`=`Sols artificialisés`/surf_artificialise_france*100) %>%
- select(Zone,`Taux d'artificialisation`,`Part dans surface nationale`)
+ tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
+ tricky::set_standard_names() %>%
+ mutate (sols_artificialises = .data$autres_sols_artificialises +.data$sols_artificiels+.data$sols_batis+.data$sols_revetus,
+ taux_artificialisation=.data$sols_artificialises/.data$tous_sols*100,
+ part_dans_surface_nationale=sols_artificialises/surf_artificialise_france*100) %>%
+ select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale)
graph_1_1<-data %>%
- ggplot2::ggplot(aes(x=Zone,y=`Taux d'artificialisation`,fill=I("blue"))) +
- geom_bar(stat="identity")+
- theme_classic()+
- geom_text(aes(y=`Taux d'artificialisation`, ymax=50, label=paste0(round(`Taux d'artificialisation`,1),"%")),position= position_dodge(width=1), vjust=-0.5, size=3)+
- labs(title="taux d'artificialisation par région (Teruti-Lucas)",subtitle="",x="",y="",
+ ggplot2::ggplot(ggplot2::aes(x=.data$zone,y=.data$taux_artificialisation,fill=I("blue"))) +
+ ggplot2::geom_bar(stat="identity")+
+ ggplot2::theme_classic()+
+ ggplot2::geom_text(ggplot2::aes(y=taux_artificialisation, ymax=50, label=paste0(round(taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=-0.5, size=3)+
+ ggplot2::labs(title="taux d'artificialisation par r\u00e9gion (Teruti-Lucas)",subtitle="",x="",y="",
fill="")+
-theme(axis.text.x = element_text(angle = 90))
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+ ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90))
--
GitLab
From 9ab58f4021c1b8d573e63d5e05818c24ea67b8d9 Mon Sep 17 00:00:00 2001
From: KALIOUDJOGLOU Daniel
<Daniel.Kalioudjoglou@developpement-durable.gouv.fr>
Date: Thu, 1 Apr 2021 11:59:34 +0200
Subject: [PATCH 05/16] ameliorations sur graphique taux d artificialisation
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
correction d'erreur dans formule de calcul de taux
correction de problèmes de syntaxe
resolution des erreurs de check
---
DESCRIPTION | 21 ++++++++---------
R/creer_graphe_1_1.R | 18 ++++++---------
R/globals.R | 3 +++
vignettes/test.R | 54 +++++++-------------------------------------
4 files changed, 27 insertions(+), 69 deletions(-)
create mode 100644 R/globals.R
diff --git a/DESCRIPTION b/DESCRIPTION
index 9b6ab55..7229389 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -6,15 +6,14 @@ Authors@R:
family = "Kalioudjoglou",
role = "aut",
email = "daniel.kalioudjoglou@developpement-durable.gouv.fr"),
- person(given = "Gwénaëlle",
+ person(given = "Gwenaelle",
family = "Le Bourhis",
role = "aut",
- email = "gwenaelle.le-bourhis@developpement-durable.gouv.fr"),
- person(given = "Maël",
- family = "THEULIERE",
+ email = "gwenaelle.lebourhis@developpement-durable.gouv.fr"),
+ person(given = "Mael",
+ family = "Theuliere",
role = c("aut", "cre"),
- email = "mael.theuliere@developpement-durable.gouv.fr")
- )
+ email = "mael.theuliere@gmail.com"))
Description: The goal of propre.artificialisation is to produce
a publication on land use in Pays de la Loire.
License: GPL (>= 3)
@@ -29,18 +28,16 @@ Imports:
lubridate,
magrittr,
tidyr,
- COGiter (>= 0.0.7),
- sf,
- rmarkdown,
- tricky
+ tricky,
+ utils
Suggests:
knitr,
+ rmarkdown,
testthat (>= 3.0.0)
VignetteBuilder:
knitr
Remotes:
- spyrales/gouvdown,
- maeltheuliere/COGiter
+ spyrales/gouvdown
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
diff --git a/R/creer_graphe_1_1.R b/R/creer_graphe_1_1.R
index 744f3a9..aac228c 100644
--- a/R/creer_graphe_1_1.R
+++ b/R/creer_graphe_1_1.R
@@ -25,12 +25,9 @@ creer_graphe_1_1 <- function(){
.data$date == lubridate::make_date(annee,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
- mutate ( sols_artificialises = .data$autres_sols_artificialises +.data$sols_artificiels+.data$sols_batis+.data$sols_revetus,
- taux_artificialisation=.data$sols_artificialises/.data$tous_sols*100)
+ mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100)
surf_artificialise_france <- data_france %>%
- dplyr::pull(.data$sols_artificialises)
-
-
+ dplyr::pull(.data$sols_artificiels)
data <- teruti %>%
mutate(valeur=as.numeric(.data$valeur)) %>%
@@ -40,21 +37,20 @@ creer_graphe_1_1 <- function(){
.data$date == lubridate::make_date(annee,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
- mutate (sols_artificialises = .data$autres_sols_artificialises +.data$sols_artificiels+.data$sols_batis+.data$sols_revetus,
- taux_artificialisation=.data$sols_artificialises/.data$tous_sols*100,
- part_dans_surface_nationale=sols_artificialises/surf_artificialise_france*100) %>%
+ mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
+ part_dans_surface_nationale=.data$sols_artificiels/surf_artificialise_france*100) %>%
select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale)
+ valeur_max <- max(data$taux_artificialisation,na.rm=T)
graph_1_1<-data %>%
- ggplot2::ggplot(ggplot2::aes(x=.data$zone,y=.data$taux_artificialisation,fill=I("blue"))) +
+ ggplot2::ggplot(ggplot2::aes(x=.data$zone, ymax=valeur_max+4, y=.data$taux_artificialisation,fill=I("blue"))) +
ggplot2::geom_bar(stat="identity")+
ggplot2::theme_classic()+
- ggplot2::geom_text(ggplot2::aes(y=taux_artificialisation, ymax=50, label=paste0(round(taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=-0.5, size=3)+
+ ggplot2::geom_text(ggplot2::aes(y=.data$taux_artificialisation , label=paste0(round(.data$taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=-0.5, size=3)+
ggplot2::labs(title="taux d'artificialisation par r\u00e9gion (Teruti-Lucas)",subtitle="",x="",y="",
fill="")+
ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90))
-
}
diff --git a/R/globals.R b/R/globals.R
new file mode 100644
index 0000000..5e9a009
--- /dev/null
+++ b/R/globals.R
@@ -0,0 +1,3 @@
+utils::globalVariables(
+ c("teruti",".data")
+)
diff --git a/vignettes/test.R b/vignettes/test.R
index adcf9d5..2546760 100644
--- a/vignettes/test.R
+++ b/vignettes/test.R
@@ -3,44 +3,7 @@ annee <- 2018
-
- # # Creation de la table utile a la production du graphique
- # annee<-2018
- # data_france <- teruti %>%
- # mutate(valeur=as.numeric(valeur)) %>%
- # dplyr::filter(.data$CodeZone == "FRMETRO",
- # .data$date == lubridate::make_date(annee,"01","01")) %>%
- # mutate(artificialisation = case_when(
- # .data$variable == "Tous sols" ~ "Tous sols",
- # .data$variable == "Sols bâtis" ~ "Sols artificialisés",
- # .data$variable == "Autres sols artificialisés" ~ "Sols artificialisés",
- # .data$variable == "Sols artificiels" ~ "Sols artificialisés",
- # TRUE ~ "Autres sols"))%>%
- # dplyr::group_by(.data$artificialisation)%>%
- # dplyr::summarise(valeur=sum(valeur,na.rm=T))%>%
- # filter (.data$artificialisation =="Sols artificialisés") %>%
- # dplyr::pull(.data$valeur)
- #
- #
- # data <- teruti %>%
- # mutate(valeur=as.numeric(valeur)) %>%
- # # Filtres pour ne garder que les donnees de la region et du millesime sélectionne
- # dplyr::filter(.data$TypeZone == "R\u00e9gions",
- # !(.data$CodeZone %in% c("01","02","03","04","06")),
- # .data$date == lubridate::make_date(annee,"01","01")) %>%
- # mutate(artificialisation = case_when(
- # .data$variable == "Tous sols" ~ "Tous sols",
- # .data$variable == "Sols bâtis" ~ "Sols artificialisés",
- # .data$variable == "Autres sols artificialisés" ~ "Sols artificialisés",
- # .data$variable == "Sols artificiels" ~ "Sols artificialisés",
- # TRUE ~ "Autres sols")
- # )%>%
- # group_by(.data$TypeZone,.data$CodeZone,.data$Zone,.data$date, .data$artificialisation)%>%
- # summarise(valeur=sum(valeur,na.rm=T))
-
-
# Creation de la table utile a la production du graphique
-annee<-2018
data_france <- teruti %>%
mutate(valeur=as.numeric(.data$valeur)) %>%
@@ -48,10 +11,9 @@ data_france <- teruti %>%
.data$date == lubridate::make_date(annee,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
- mutate ( sols_artificialises = .data$autres_sols_artificialises +.data$sols_artificiels+.data$sols_batis+.data$sols_revetus,
- taux_artificialisation=.data$sols_artificialises/.data$tous_sols*100)
+ mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100)
surf_artificialise_france <- data_france %>%
- dplyr::pull(.data$sols_artificialises)
+ dplyr::pull(.data$sols_artificiels)
@@ -63,19 +25,19 @@ data <- teruti %>%
.data$date == lubridate::make_date(annee,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
- mutate (sols_artificialises = .data$autres_sols_artificialises +.data$sols_artificiels+.data$sols_batis+.data$sols_revetus,
- taux_artificialisation=.data$sols_artificialises/.data$tous_sols*100,
- part_dans_surface_nationale=sols_artificialises/surf_artificialise_france*100) %>%
+ mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
+ part_dans_surface_nationale=.data$sols_artificiels/surf_artificialise_france*100) %>%
select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale)
+valeur_max <- max(data$taux_artificialisation,na.rm=T)
graph_1_1<-data %>%
- ggplot2::ggplot(ggplot2::aes(x=.data$zone,y=.data$taux_artificialisation,fill=I("blue"))) +
+ ggplot2::ggplot(ggplot2::aes(x=.data$zone, ymax=valeur_max+4, y=.data$taux_artificialisation,fill=I("blue"))) +
ggplot2::geom_bar(stat="identity")+
ggplot2::theme_classic()+
- ggplot2::geom_text(ggplot2::aes(y=taux_artificialisation, ymax=50, label=paste0(round(taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=-0.5, size=3)+
+ ggplot2::geom_text(ggplot2::aes(y=.data$taux_artificialisation , label=paste0(round(.data$taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=-0.5, size=3)+
ggplot2::labs(title="taux d'artificialisation par r\u00e9gion (Teruti-Lucas)",subtitle="",x="",y="",
- fill="")+
+ fill="")+
ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90))
--
GitLab
From ad3036f65da97de7b8ab7d0ebc97c328047adb59 Mon Sep 17 00:00:00 2001
From: KALIOUDJOGLOU Daniel
<Daniel.Kalioudjoglou@developpement-durable.gouv.fr>
Date: Thu, 1 Apr 2021 16:07:53 +0200
Subject: [PATCH 06/16] corrections
---
R/creer_graphe_1_1.R | 11 ++++++-----
devstuff_history.R | 1 +
.../templates/publication/skeleton/skeleton.Rmd | 10 ++++++++--
man/creer_graphe_1_1.Rd | 7 +++++--
tests/testthat/test-creer_graphe_1_1.R | 2 +-
vignettes/aa-ch1-1.Rmd | 4 ++--
vignettes/test.R | 6 +++---
7 files changed, 26 insertions(+), 15 deletions(-)
diff --git a/R/creer_graphe_1_1.R b/R/creer_graphe_1_1.R
index aac228c..d18c8d4 100644
--- a/R/creer_graphe_1_1.R
+++ b/R/creer_graphe_1_1.R
@@ -1,6 +1,8 @@
#' Creation du graphique du taux d'artificialisation par region (Teruti-Lucas)
#' @description Creation du graphique representant le taux d'artificialisation par region (Teruti-Lucas)
#'
+#' @param millesime_teruti une année parmi les millesimes sélectionnables par l'utilisateur, au format numerique.
+#'
#' @return Un diagramme en barres
#'
#' @importFrom dplyr filter select group_by mutate first ungroup pull
@@ -12,17 +14,16 @@
#' @export
#'
#' @examples
-#' creer_graphe_1_1()
+#' creer_graphe_1_1(millesime_teruti=2018)
-creer_graphe_1_1 <- function(){
+creer_graphe_1_1 <- function(millesime_teruti){
# Creation de la table utile a la production du graphique
- annee<-2018
data_france <- teruti %>%
mutate(valeur=as.numeric(.data$valeur)) %>%
dplyr::filter(.data$CodeZone == "FRMETRO",
- .data$date == lubridate::make_date(annee,"01","01")) %>%
+ .data$date == lubridate::make_date(millesime_teruti,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100)
@@ -34,7 +35,7 @@ creer_graphe_1_1 <- function(){
# Filtres pour ne garder que les donnees de la region et du millesime sélectionne
dplyr::filter(.data$TypeZone == "R\u00e9gions",
!(.data$CodeZone %in% c("01","02","03","04","06")),
- .data$date == lubridate::make_date(annee,"01","01")) %>%
+ .data$date == lubridate::make_date(millesime_teruti,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
diff --git a/devstuff_history.R b/devstuff_history.R
index 21bcdff..525f29a 100644
--- a/devstuff_history.R
+++ b/devstuff_history.R
@@ -12,6 +12,7 @@ usethis::use_package("forcats")
usethis::use_package("ggiraph")
usethis::use_package("sf")
usethis::use_package("tricky")
+usethis::use_package("qpdf")
usethis::use_dev_package("COGiter",remote = "maeltheuliere/COGiter")
usethis::use_dev_package("gouvdown",remote = "spyrales/gouvdown")
usethis::use_rmarkdown_template(template_name = "publication artificialisation",
diff --git a/inst/rmarkdown/templates/publication/skeleton/skeleton.Rmd b/inst/rmarkdown/templates/publication/skeleton/skeleton.Rmd
index eb916bc..bd9e417 100644
--- a/inst/rmarkdown/templates/publication/skeleton/skeleton.Rmd
+++ b/inst/rmarkdown/templates/publication/skeleton/skeleton.Rmd
@@ -6,8 +6,10 @@ output:
toc: TRUE
logo: "prefecture_r52"
params:
- annee: 2019
-title: "L'artificialisation des sols en Pays de la loire en `r params$annee`"
+ millesime_teruti: 2018
+ millesime_ocsge: 2019
+ millesime_observatoire_artificialisation: 2019
+title: "L'artificialisation des sols en Pays de la loire en `r params$millesime_observatoire_artificialisation`"
---
```{r setup, include=FALSE}
@@ -18,3 +20,7 @@ library(propre.artificialisation)
## Chapitre 1
+
+```{r diag barres nb logts par nb de pieces}
+creer_graphe_1_1( millesime_teruti)
+```
diff --git a/man/creer_graphe_1_1.Rd b/man/creer_graphe_1_1.Rd
index 8c38912..46799b9 100644
--- a/man/creer_graphe_1_1.Rd
+++ b/man/creer_graphe_1_1.Rd
@@ -4,7 +4,10 @@
\alias{creer_graphe_1_1}
\title{Creation du graphique du taux d'artificialisation par region (Teruti-Lucas)}
\usage{
-creer_graphe_1_1()
+creer_graphe_1_1(millesime_teruti)
+}
+\arguments{
+\item{millesime_teruti}{une année parmi les millesimes sélectionnables par l'utilisateur, au format numerique.}
}
\value{
Un diagramme en barres
@@ -13,5 +16,5 @@ Un diagramme en barres
Creation du graphique representant le taux d'artificialisation par region (Teruti-Lucas)
}
\examples{
-creer_graphe_1_1()
+creer_graphe_1_1(millesime_teruti=2018)
}
diff --git a/tests/testthat/test-creer_graphe_1_1.R b/tests/testthat/test-creer_graphe_1_1.R
index d417a8e..a187667 100644
--- a/tests/testthat/test-creer_graphe_1_1.R
+++ b/tests/testthat/test-creer_graphe_1_1.R
@@ -2,7 +2,7 @@
test_that("creer_graphe_1_1 fonctionne", {
# Test que le graphe est un ggplot
- objet <- creer_graphe_1_1()
+ objet <- creer_graphe_1_1(millesime_teruti = 2018)
testthat::expect_equal(attr(objet, "class"), c("gg","ggplot"))
})
diff --git a/vignettes/aa-ch1-1.Rmd b/vignettes/aa-ch1-1.Rmd
index 3dce576..c544cd2 100644
--- a/vignettes/aa-ch1-1.Rmd
+++ b/vignettes/aa-ch1-1.Rmd
@@ -14,10 +14,10 @@ knitr::opts_chunk$set(
)
```
# Descriptif
-La fonction `creer_graphe_1_1()` produit le graphique des taux d'artificialisation par region (Teruti-Lucas).
+La fonction `creer_graphe_1_1(millesime_teruti)` produit le graphique des taux d'artificialisation par region (Teruti-Lucas).
```{r setup}
library(propre.artificialisation)
- creer_graphe_1_1()
+ creer_graphe_1_1(millesime_teruti=2018)
```
diff --git a/vignettes/test.R b/vignettes/test.R
index 2546760..d11f1ba 100644
--- a/vignettes/test.R
+++ b/vignettes/test.R
@@ -1,5 +1,5 @@
library(dplyr)
-annee <- 2018
+millesime_teruti <- 2018
@@ -8,7 +8,7 @@ annee <- 2018
data_france <- teruti %>%
mutate(valeur=as.numeric(.data$valeur)) %>%
dplyr::filter(.data$CodeZone == "FRMETRO",
- .data$date == lubridate::make_date(annee,"01","01")) %>%
+ .data$date == lubridate::make_date(millesime_teruti,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100)
@@ -22,7 +22,7 @@ data <- teruti %>%
# Filtres pour ne garder que les donnees de la region et du millesime sélectionne
dplyr::filter(.data$TypeZone == "R\u00e9gions",
!(.data$CodeZone %in% c("01","02","03","04","06")),
- .data$date == lubridate::make_date(annee,"01","01")) %>%
+ .data$date == lubridate::make_date(millesime_teruti,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
--
GitLab
From 6dad05fd6ca2440ac6c5f7a162270468ce0eafdc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Thu, 1 Apr 2021 16:15:23 +0200
Subject: [PATCH 07/16] correction dependances creer_graphe_1_1 et
explicitation du retour du graphique
---
R/creer_graphe_1_1.R | 11 ++++++-----
1 file changed, 6 insertions(+), 5 deletions(-)
diff --git a/R/creer_graphe_1_1.R b/R/creer_graphe_1_1.R
index d18c8d4..b419823 100644
--- a/R/creer_graphe_1_1.R
+++ b/R/creer_graphe_1_1.R
@@ -21,26 +21,26 @@ creer_graphe_1_1 <- function(millesime_teruti){
# Creation de la table utile a la production du graphique
data_france <- teruti %>%
- mutate(valeur=as.numeric(.data$valeur)) %>%
+ dplyr::mutate(valeur=as.numeric(.data$valeur)) %>%
dplyr::filter(.data$CodeZone == "FRMETRO",
.data$date == lubridate::make_date(millesime_teruti,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
- mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100)
+ dplyr::mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100)
surf_artificialise_france <- data_france %>%
dplyr::pull(.data$sols_artificiels)
data <- teruti %>%
- mutate(valeur=as.numeric(.data$valeur)) %>%
+ dplyr::mutate(valeur=as.numeric(.data$valeur)) %>%
# Filtres pour ne garder que les donnees de la region et du millesime sélectionne
dplyr::filter(.data$TypeZone == "R\u00e9gions",
!(.data$CodeZone %in% c("01","02","03","04","06")),
.data$date == lubridate::make_date(millesime_teruti,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
- mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
+ dplyr::mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
part_dans_surface_nationale=.data$sols_artificiels/surf_artificialise_france*100) %>%
- select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale)
+ dplyr::select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale)
valeur_max <- max(data$taux_artificialisation,na.rm=T)
@@ -53,5 +53,6 @@ creer_graphe_1_1 <- function(millesime_teruti){
fill="")+
ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90))
+ return(graph_1_1)
}
--
GitLab
From 5f8352f2796b0e9c14c20924c754d6d6cf7ab88e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Thu, 1 Apr 2021 16:27:42 +0200
Subject: [PATCH 08/16] nettoyage
---
.../skeleton/skeleton.Rmd | 18 ------------------
.../template.yaml | 4 ----
.../www => www/52-pays-de-la-loire-RVB.png | Bin
3 files changed, 22 deletions(-)
delete mode 100644 inst/rmarkdown/templates/publication-artificialisation/skeleton/skeleton.Rmd
delete mode 100644 inst/rmarkdown/templates/publication-artificialisation/template.yaml
rename inst/rmarkdown/templates/publication/skeleton/www => www/52-pays-de-la-loire-RVB.png (100%)
diff --git a/inst/rmarkdown/templates/publication-artificialisation/skeleton/skeleton.Rmd b/inst/rmarkdown/templates/publication-artificialisation/skeleton/skeleton.Rmd
deleted file mode 100644
index 2dc05bf..0000000
--- a/inst/rmarkdown/templates/publication-artificialisation/skeleton/skeleton.Rmd
+++ /dev/null
@@ -1,18 +0,0 @@
----
-title: "Template Title"
-author: "Your Name"
-date: "The Date"
-output: output_format
----
-
-```{r setup, include=FALSE}
-knitr::opts_chunk$set(echo = TRUE)
-```
-
-## Adding an RMarkdown Template
-
-This file is what a user will see when they select your template. Make sure that you update the fields in the yaml header. In particular you will want to update the `output` field to whatever format your template requires.
-
-This is a good place to demonstrate special features that your template provides. Ideally it should knit out-of-the-box, or at least contain clear instructions as to what needs changing.
-
-Finally, be sure to remove this message!
diff --git a/inst/rmarkdown/templates/publication-artificialisation/template.yaml b/inst/rmarkdown/templates/publication-artificialisation/template.yaml
deleted file mode 100644
index d3a5efb..0000000
--- a/inst/rmarkdown/templates/publication-artificialisation/template.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-name: publication artificialisation
-description: >
- Template Rmarkdown pour la publication sur l'artificialisation des sols en Pays de la Loire
-create_dir: FALSE
diff --git a/inst/rmarkdown/templates/publication/skeleton/www b/www/52-pays-de-la-loire-RVB.png
similarity index 100%
rename from inst/rmarkdown/templates/publication/skeleton/www
rename to www/52-pays-de-la-loire-RVB.png
--
GitLab
From 36e681d29da21641d7308b83316f367d35819f17 Mon Sep 17 00:00:00 2001
From: KALIOUDJOGLOU Daniel
<Daniel.Kalioudjoglou@developpement-durable.gouv.fr>
Date: Thu, 1 Apr 2021 18:34:35 +0200
Subject: [PATCH 09/16] modification du graphique
barres mises en horizontal
---
R/creer_graphe_1_1.R | 16 +++++---
devstuff_history.R | 1 +
.../publication/skeleton/skeleton.Rmd | 3 +-
vignettes/test.R | 38 ++++++++++++-------
4 files changed, 39 insertions(+), 19 deletions(-)
diff --git a/R/creer_graphe_1_1.R b/R/creer_graphe_1_1.R
index b419823..dc8771d 100644
--- a/R/creer_graphe_1_1.R
+++ b/R/creer_graphe_1_1.R
@@ -39,19 +39,25 @@ creer_graphe_1_1 <- function(millesime_teruti){
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
dplyr::mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
- part_dans_surface_nationale=.data$sols_artificiels/surf_artificialise_france*100) %>%
- dplyr::select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale)
+ part_dans_surface_nationale=.data$sols_artificiels/surf_artificialise_france*100,
+ couleur_barre = dplyr::case_when(
+ .data$codezone=="52"~ 1,
+ TRUE ~ 0)
+ ) %>%
+ dplyr::select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale,.data$couleur_barre)
valeur_max <- max(data$taux_artificialisation,na.rm=T)
graph_1_1<-data %>%
- ggplot2::ggplot(ggplot2::aes(x=.data$zone, ymax=valeur_max+4, y=.data$taux_artificialisation,fill=I("blue"))) +
+ ggplot2::ggplot(ggplot2::aes(x=forcats::fct_reorder(.data$zone,.data$taux_artificialisation,.desc=T), ymax=valeur_max+4, y=.data$taux_artificialisation,fill=.data$couleur_barre)) +
ggplot2::geom_bar(stat="identity")+
+ ggplot2::coord_flip() +
ggplot2::theme_classic()+
- ggplot2::geom_text(ggplot2::aes(y=.data$taux_artificialisation , label=paste0(round(.data$taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=-0.5, size=3)+
+ ggplot2::theme(legend.position = "none")+
+ ggplot2::geom_text(ggplot2::aes(y=.data$taux_artificialisation , label=paste0(round(.data$taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=0.5,hjust=-0.5, size=3)+
ggplot2::labs(title="taux d'artificialisation par r\u00e9gion (Teruti-Lucas)",subtitle="",x="",y="",
fill="")+
- ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90))
+ ggplot2::theme(axis.text.x = ggplot2::element_text())
return(graph_1_1)
diff --git a/devstuff_history.R b/devstuff_history.R
index 525f29a..632e847 100644
--- a/devstuff_history.R
+++ b/devstuff_history.R
@@ -13,6 +13,7 @@ usethis::use_package("ggiraph")
usethis::use_package("sf")
usethis::use_package("tricky")
usethis::use_package("qpdf")
+usethis::use_package("forcats")
usethis::use_dev_package("COGiter",remote = "maeltheuliere/COGiter")
usethis::use_dev_package("gouvdown",remote = "spyrales/gouvdown")
usethis::use_rmarkdown_template(template_name = "publication artificialisation",
diff --git a/inst/rmarkdown/templates/publication/skeleton/skeleton.Rmd b/inst/rmarkdown/templates/publication/skeleton/skeleton.Rmd
index bd9e417..759f38e 100644
--- a/inst/rmarkdown/templates/publication/skeleton/skeleton.Rmd
+++ b/inst/rmarkdown/templates/publication/skeleton/skeleton.Rmd
@@ -9,6 +9,7 @@ params:
millesime_teruti: 2018
millesime_ocsge: 2019
millesime_observatoire_artificialisation: 2019
+
title: "L'artificialisation des sols en Pays de la loire en `r params$millesime_observatoire_artificialisation`"
---
@@ -22,5 +23,5 @@ library(propre.artificialisation)
```{r diag barres nb logts par nb de pieces}
-creer_graphe_1_1( millesime_teruti)
+creer_graphe_1_1( params$millesime_teruti)
```
diff --git a/vignettes/test.R b/vignettes/test.R
index d11f1ba..918650e 100644
--- a/vignettes/test.R
+++ b/vignettes/test.R
@@ -1,43 +1,55 @@
library(dplyr)
millesime_teruti <- 2018
-
-
# Creation de la table utile a la production du graphique
data_france <- teruti %>%
- mutate(valeur=as.numeric(.data$valeur)) %>%
+ dplyr::mutate(valeur=as.numeric(.data$valeur)) %>%
dplyr::filter(.data$CodeZone == "FRMETRO",
.data$date == lubridate::make_date(millesime_teruti,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
- mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100)
+ dplyr::mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100)
surf_artificialise_france <- data_france %>%
dplyr::pull(.data$sols_artificiels)
-
-
data <- teruti %>%
- mutate(valeur=as.numeric(.data$valeur)) %>%
+ dplyr::mutate(valeur=as.numeric(.data$valeur)) %>%
# Filtres pour ne garder que les donnees de la region et du millesime sélectionne
dplyr::filter(.data$TypeZone == "R\u00e9gions",
!(.data$CodeZone %in% c("01","02","03","04","06")),
.data$date == lubridate::make_date(millesime_teruti,"01","01")) %>%
tidyr::spread(key=.data$variable,value=.data$valeur,fill=0) %>%
tricky::set_standard_names() %>%
- mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
- part_dans_surface_nationale=.data$sols_artificiels/surf_artificialise_france*100) %>%
- select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale)
+ dplyr::mutate (taux_artificialisation=.data$sols_artificiels/.data$tous_sols*100,
+ part_dans_surface_nationale=.data$sols_artificiels/surf_artificialise_france*100,
+ couleur_barre = case_when(
+ .data$codezone=="52"~ 1,
+ TRUE ~ 0)
+ ) %>%
+ dplyr::select(.data$zone,.data$taux_artificialisation,.data$part_dans_surface_nationale,.data$couleur_barre)
valeur_max <- max(data$taux_artificialisation,na.rm=T)
graph_1_1<-data %>%
- ggplot2::ggplot(ggplot2::aes(x=.data$zone, ymax=valeur_max+4, y=.data$taux_artificialisation,fill=I("blue"))) +
+ ggplot2::ggplot(ggplot2::aes(x=forcats::fct_reorder(.data$zone,.data$taux_artificialisation,.desc=T), ymax=valeur_max+4, y=.data$taux_artificialisation,fill=.data$couleur_barre)) +
ggplot2::geom_bar(stat="identity")+
+ ggplot2::coord_flip() +
ggplot2::theme_classic()+
- ggplot2::geom_text(ggplot2::aes(y=.data$taux_artificialisation , label=paste0(round(.data$taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=-0.5, size=3)+
+ ggplot2::theme(legend.position = "none")+
+ ggplot2::geom_text(ggplot2::aes(y=.data$taux_artificialisation , label=paste0(round(.data$taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=0.5,hjust=-0.5, size=3)+
ggplot2::labs(title="taux d'artificialisation par r\u00e9gion (Teruti-Lucas)",subtitle="",x="",y="",
fill="")+
- ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90))
+ ggplot2::theme(axis.text.x = ggplot2::element_text())
+
+return(graph_1_1)
+
+
+
+
+
+
+
+
--
GitLab
From ad9b7df052b52cae187112fe1175447cffbe0ad7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Fri, 2 Apr 2021 10:49:53 +0200
Subject: [PATCH 10/16] ajout du package tricky dans les Remotes
---
DESCRIPTION | 1 +
1 file changed, 1 insertion(+)
diff --git a/DESCRIPTION b/DESCRIPTION
index 7229389..73d104f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -38,6 +38,7 @@ VignetteBuilder:
knitr
Remotes:
spyrales/gouvdown
+ pachevalier/tricky
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
--
GitLab
From c9c89cce63cb319eaecbe991cb43285238c143e7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Fri, 2 Apr 2021 11:06:31 +0200
Subject: [PATCH 11/16] ajout fonction de formatage des nombres
---
R/utils.r | 21 +++++++++++++++++++++
1 file changed, 21 insertions(+)
create mode 100644 R/utils.r
diff --git a/R/utils.r b/R/utils.r
new file mode 100644
index 0000000..637c759
--- /dev/null
+++ b/R/utils.r
@@ -0,0 +1,21 @@
+#' fonction utilitaire de formatage en pourcentage pour le francais
+#'
+#' @description fonction utilitaire de formatage en pourcentage pour le francais
+
+#' @param x un nombre à formater en pourcentage
+#' @param dec un entier désignant le nombre de chiffres après la virgule souhaité (1 par défaut)
+#'
+#' @return une chaîne de texte, x %, avec transformation de la décimale en virgule et insertion d'un espace insécable
+#'
+#' @importFrom attempt stop_if_not
+#'
+#' @export
+#'
+#' @examples
+#' format_fr_pct(100/3)
+#'
+
+format_fr_pct <- function(x, dec = 1) {
+ attempt::stop_if_not(x, is.numeric, msg = "x n'est pas un nombre, revoyez la saisie de l'argument de format_fr_pct(x, dec)")
+ paste0(formatC(x, decimal.mark = ",", big.mark = "\u202f", format = "f", digits = dec), "\u00a0%")
+}
--
GitLab
From f6dc31abed150d76f8ca9921b8cd51b8456d5390 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Fri, 2 Apr 2021 11:21:31 +0200
Subject: [PATCH 12/16] review creer_graph_1
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
- correction @importfrom
- utilisation de scales pour le formatage des axes
- ajout de l'utilisation de la fonction format_pct pour le formatage des libellés
- fusion des appels à theme
- utilisation de glue pour préciser le millésime
---
R/creer_graphe_1_1.R | 29 ++++++++++++++++++-----------
1 file changed, 18 insertions(+), 11 deletions(-)
diff --git a/R/creer_graphe_1_1.R b/R/creer_graphe_1_1.R
index dc8771d..7821fa9 100644
--- a/R/creer_graphe_1_1.R
+++ b/R/creer_graphe_1_1.R
@@ -6,10 +6,10 @@
#' @return Un diagramme en barres
#'
#' @importFrom dplyr filter select group_by mutate first ungroup pull
-#' @importFrom forcats fct_drop
+#' @importFrom forcats fct_drop fct_reorder
#' @importFrom ggiraph geom_point_interactive ggiraph
-#' @importFrom ggplot2 ggplot aes geom_line labs
-#' @importFrom gouvdown scale_color_gouv_discrete
+#' @importFrom ggplot2 ggplot aes geom_bar labs scale_y_continuous theme geom_text element_text
+#' @importFrom scales number_format
#'
#' @export
#'
@@ -49,15 +49,22 @@ creer_graphe_1_1 <- function(millesime_teruti){
valeur_max <- max(data$taux_artificialisation,na.rm=T)
graph_1_1<-data %>%
- ggplot2::ggplot(ggplot2::aes(x=forcats::fct_reorder(.data$zone,.data$taux_artificialisation,.desc=T), ymax=valeur_max+4, y=.data$taux_artificialisation,fill=.data$couleur_barre)) +
+ ggplot2::ggplot(ggplot2::aes(x=forcats::fct_reorder(.data$zone,.data$taux_artificialisation,.desc=F), ymax=valeur_max+4, y=.data$taux_artificialisation,fill=.data$couleur_barre)) +
ggplot2::geom_bar(stat="identity")+
- ggplot2::coord_flip() +
- ggplot2::theme_classic()+
- ggplot2::theme(legend.position = "none")+
- ggplot2::geom_text(ggplot2::aes(y=.data$taux_artificialisation , label=paste0(round(.data$taux_artificialisation,1),"%")),position= ggplot2::position_dodge(width=1), vjust=0.5,hjust=-0.5, size=3)+
- ggplot2::labs(title="taux d'artificialisation par r\u00e9gion (Teruti-Lucas)",subtitle="",x="",y="",
- fill="")+
- ggplot2::theme(axis.text.x = ggplot2::element_text())
+ ggplot2::geom_text(ggplot2::aes(y=.data$taux_artificialisation ,
+ label=format_fr_pct(.data$taux_artificialisation),
+ color = .data$couleur_barre
+ ),
+ position= ggplot2::position_dodge(width=1),
+ vjust=0.5,
+ hjust=-0.5,
+ size=3) +
+ ggplot2::coord_flip(expand = FALSE) +
+ ggplot2::labs(title=glue::glue("Taux d'artificialisation par r\u00e9gion en {millesime_teruti}"),subtitle="",x="",y="",
+ fill="",
+ caption = glue::glue("Source : Teruti-Lucas {millesime_teruti}"))+
+ ggplot2::theme(axis.text.x = ggplot2::element_text(), legend.position = "none") +
+ ggplot2::scale_y_continuous(labels = scales::number_format(suffix = " %", accuracy = 1))
return(graph_1_1)
--
GitLab
From a535f4bdb7386e31860ea1ec45219d62c586a28c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Fri, 2 Apr 2021 11:24:17 +0200
Subject: [PATCH 13/16] Ajout du theme dans la vignette
---
vignettes/aa-ch1-1.Rmd | 3 +++
1 file changed, 3 insertions(+)
diff --git a/vignettes/aa-ch1-1.Rmd b/vignettes/aa-ch1-1.Rmd
index c544cd2..ad97498 100644
--- a/vignettes/aa-ch1-1.Rmd
+++ b/vignettes/aa-ch1-1.Rmd
@@ -12,6 +12,9 @@ knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
+ggplot2::theme_set(gouvdown::theme_gouv(plot_title_size = 14, subtitle_size = 12, base_size = 10, caption_size = 10) +
+ ggplot2::theme(plot.caption.position = "plot"))
+
```
# Descriptif
La fonction `creer_graphe_1_1(millesime_teruti)` produit le graphique des taux d'artificialisation par region (Teruti-Lucas).
--
GitLab
From 9d1329757c167f44c7ea155a9c9faf68fc02dec5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Fri, 2 Apr 2021 11:42:01 +0200
Subject: [PATCH 14/16] =?UTF-8?q?ajout=20d=C3=A9pendances=20dans=20DESCRIP?=
=?UTF-8?q?TION,=20typo=20sur=20vignette=20et=20documentation=20format=5Ff?=
=?UTF-8?q?r=5Fpct?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
DESCRIPTION | 3 +++
NAMESPACE | 12 ++++++++++--
R/creer_graphe_1_1.R | 1 +
man/format_fr_pct.Rd | 23 +++++++++++++++++++++++
vignettes/aa-ch1-1.Rmd | 2 +-
www/52-pays-de-la-loire-RVB.png | Bin 158495 -> 0 bytes
6 files changed, 38 insertions(+), 3 deletions(-)
create mode 100644 man/format_fr_pct.Rd
delete mode 100644 www/52-pays-de-la-loire-RVB.png
diff --git a/DESCRIPTION b/DESCRIPTION
index 73d104f..2a56cd0 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -20,13 +20,16 @@ License: GPL (>= 3)
Depends:
R (>= 2.10)
Imports:
+ attempt,
dplyr,
forcats,
ggiraph,
ggplot2,
+ glue,
gouvdown (>= 0.0.0.9000),
lubridate,
magrittr,
+ scales,
tidyr,
tricky,
utils
diff --git a/NAMESPACE b/NAMESPACE
index c7b1c5e..c0b9c24 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -2,6 +2,8 @@
export("%>%")
export(creer_graphe_1_1)
+export(format_fr_pct)
+importFrom(attempt,stop_if_not)
importFrom(dplyr,filter)
importFrom(dplyr,first)
importFrom(dplyr,group_by)
@@ -10,11 +12,17 @@ importFrom(dplyr,pull)
importFrom(dplyr,select)
importFrom(dplyr,ungroup)
importFrom(forcats,fct_drop)
+importFrom(forcats,fct_reorder)
importFrom(ggiraph,geom_point_interactive)
importFrom(ggiraph,ggiraph)
importFrom(ggplot2,aes)
-importFrom(ggplot2,geom_line)
+importFrom(ggplot2,element_text)
+importFrom(ggplot2,geom_bar)
+importFrom(ggplot2,geom_text)
importFrom(ggplot2,ggplot)
importFrom(ggplot2,labs)
-importFrom(gouvdown,scale_color_gouv_discrete)
+importFrom(ggplot2,scale_y_continuous)
+importFrom(ggplot2,theme)
+importFrom(glue,glue)
importFrom(magrittr,"%>%")
+importFrom(scales,number_format)
diff --git a/R/creer_graphe_1_1.R b/R/creer_graphe_1_1.R
index 7821fa9..17eadfe 100644
--- a/R/creer_graphe_1_1.R
+++ b/R/creer_graphe_1_1.R
@@ -10,6 +10,7 @@
#' @importFrom ggiraph geom_point_interactive ggiraph
#' @importFrom ggplot2 ggplot aes geom_bar labs scale_y_continuous theme geom_text element_text
#' @importFrom scales number_format
+#' @importFrom glue glue
#'
#' @export
#'
diff --git a/man/format_fr_pct.Rd b/man/format_fr_pct.Rd
new file mode 100644
index 0000000..ff280aa
--- /dev/null
+++ b/man/format_fr_pct.Rd
@@ -0,0 +1,23 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utils.r
+\name{format_fr_pct}
+\alias{format_fr_pct}
+\title{fonction utilitaire de formatage en pourcentage pour le francais}
+\usage{
+format_fr_pct(x, dec = 1)
+}
+\arguments{
+\item{x}{un nombre à formater en pourcentage}
+
+\item{dec}{un entier désignant le nombre de chiffres après la virgule souhaité (1 par défaut)}
+}
+\value{
+une chaîne de texte, x \%, avec transformation de la décimale en virgule et insertion d'un espace insécable
+}
+\description{
+fonction utilitaire de formatage en pourcentage pour le francais
+}
+\examples{
+format_fr_pct(100/3)
+
+}
diff --git a/vignettes/aa-ch1-1.Rmd b/vignettes/aa-ch1-1.Rmd
index ad97498..bd19076 100644
--- a/vignettes/aa-ch1-1.Rmd
+++ b/vignettes/aa-ch1-1.Rmd
@@ -17,7 +17,7 @@ ggplot2::theme_set(gouvdown::theme_gouv(plot_title_size = 14, subtitle_size = 1
```
# Descriptif
-La fonction `creer_graphe_1_1(millesime_teruti)` produit le graphique des taux d'artificialisation par region (Teruti-Lucas).
+La fonction `creer_graphe_1_1()` produit le graphique des taux d'artificialisation par region (Teruti-Lucas).
```{r setup}
library(propre.artificialisation)
diff --git a/www/52-pays-de-la-loire-RVB.png b/www/52-pays-de-la-loire-RVB.png
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z(3T>I0?kc;XegfU3_8IB%3*j=bOLl%35*-VCs_z%GcYuqR)jA#V_;w?uuM4u8%Jkg
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zhseQOV}Tqf@_op$HmZ$*fnhXA7#J8vQwakD!)V3<73HIa!f2rYsgFlqp%8y<$$16_
z&bOW}jv?SM7_C`B!7y4yj#iPNbTC>)f<s}nPyhwPXrVA#D1g$zXrTZOh0#I*6bwVK
aP;i$Mp0>H`yU{n0`#oL#T-G@yGywqL1$i<6
--
GitLab
From 598fffe3c5ccc40404d305b73cb47d5146e4c7c9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Fri, 2 Apr 2021 11:44:27 +0200
Subject: [PATCH 15/16] typo DESCRIPTION
---
DESCRIPTION | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/DESCRIPTION b/DESCRIPTION
index 2a56cd0..f43f422 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -40,7 +40,7 @@ Suggests:
VignetteBuilder:
knitr
Remotes:
- spyrales/gouvdown
+ spyrales/gouvdown,
pachevalier/tricky
Config/testthat/edition: 3
Encoding: UTF-8
--
GitLab
From b2ecf918525cd1ad58af2707dc20b43d61017fb3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ma=C3=ABl=20Theuliere?=
<mael.theuliere@developpement-durable.gouv.fr>
Date: Fri, 2 Apr 2021 11:52:18 +0200
Subject: [PATCH 16/16] update buildignore
---
.Rbuildignore | 3 +++
1 file changed, 3 insertions(+)
diff --git a/.Rbuildignore b/.Rbuildignore
index 7bcad2d..ed6562c 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -11,3 +11,6 @@
^pkgdown$
^test\.R$
^vignette/test\.R$
+^ci$
+^doc$
+^Meta$
--
GitLab