[ggplot2] geom_violin forme étroite

Bonjour,
Je suis débutante et m'auto-forme à R. J'ai réussi à créer avec ggplot2 un graphique avec un geom_violin, et geom_jitter. Jusque-là, tout fonctionne très bien.
Comme je dois produire plusieurs graphs pour mettre en relation chaque variable de mon data.frame avec une variable "fixe" (la localisation), je me suis basée sur cet article
https://delladata.fr/comment-utilise...-une-fonction/
J'ai testé les fonction facet_wrap et facet_grid en faisant pas mal d'essais, je suis arrivée à quelque chose, mais de relativement concluant, et j'aurai voulu comprendre pourquoi j'obtenais un tel résultat:
en effet quand je produis un graph, avec par exemple deux variables, avec un plot_grid pour tous les ajouter sur le même graph, la geom de mon violon correspond à l'étendue de mon nuage de points;
Pièce jointe 643014


par contre, lorsque j'utilise un gather avec facet_wrap, ce n'est plus le cas.
Pièce jointe 643015

Je suppose qu'il faut passer par une boucle et/ou une fonction, mais j'aurai voulu comprendre la raison à cela

Merci pour vos retours!

Pièce jointe 643016

Le premier morceau de code est la tentative de la veille, porduire un graph avec une fonction qui permet de changer de variable (oui, je sais on peut faire beaucoup plus simple mais j'apprends!), le second morceau avec les fonctions gather et facet_wrap

Code:

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library(tidyverse) library(readxl) library(ggplot2) library(writexl) library(RColorBrewer) library(cowplot) library(dplyr) library(data.table)     df <- read_excel(path = "C:/data/mon_fichier.xlsx")     #variable appelée dans la fonction loc <- as.factor(df$LOCATION) subloc <- as.factor(df$SUB_LOCATI) df_core <- subset(df,df$LOCATION == "Core Area")     #variables esthétiques ##violin scale <- "area" violin_alpha <- 0 violin_color <- "red" violin_lw <- 0.3 ##jitter jitter_color <- "#484b4f" jitter_alpha<-0.4 jitter_size<-1.2 ##theme ###plot_title(pt) pt_hjust <- 0.5 pt_color <- "black" pt_size <- 12 ###panel.background(pb) pb_fill <- "white" pb_colour <- "white" pb_linewidth <- 2 pb_linetype <- "solid" ###panel.grid(pg) pg_fill <- "white" pg_colour <- "#ededed" pg_linewidth <- 0.05 pg_linetype <- "solid" ###plot.background(plb) plb_fill <- "grey"     #Localisation par main area (Core/North)   ##complexite myPlot_complexite <- function(loc) { monResultat <- ggplot(data = df %>% filter(LOCATION ==loc), aes(x = complexite , y = LOCATION)) + xlim(0, max(df$complexite)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   p1 <- myPlot_complexite("Core Area") p2 <- myPlot_complexite("North Area")   plot_grid(p1,p2)   ##ind_prox myPlot_ind_prox <- function(loc) { monResultat <- ggplot(data = df %>% filter(LOCATION ==loc), aes(x = ind_prox , y = LOCATION)) + xlim(0, max(df$ind_prox)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   p3 <- myPlot_ind_prox("Core Area") p4 <- myPlot_ind_prox("North Area") plot_grid(p3,p4)   ##AERA_m2 myPlot_AERA_m2 <- function(loc) { monResultat <- ggplot(data = df %>% filter(LOCATION ==loc), aes(x = AERA_m2 , y = LOCATION)) + xlim(0, max(df$AERA_m2)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   p5 <- myPlot_AERA_m2("Core Area") p6 <- myPlot_AERA_m2("North Area") plot_grid(p5,p6)   ##R_AREA_BUI myPlot_R_AREA_BUI <- function(loc) { monResultat <- ggplot(data = df %>% filter(LOCATION ==loc), aes(x = R_AREA_BUI , y = LOCATION)) + xlim(0, max(df$R_AREA_BUI)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   p7 <- myPlot_R_AREA_BUI("Core Area") p8 <- myPlot_R_AREA_BUI("North Area") plot_grid(p7,p8)   ##ratio_Mbbo myPlot_ratio_Mbbo <- function(loc) { monResultat <- ggplot(data = df %>% filter(LOCATION ==loc), aes(x = ratio_Mbbo , y = LOCATION)) + xlim(0, max(df$ratio_Mbbo)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   p9 <- myPlot_ratio_Mbbo("Core Area") p10 <- myPlot_ratio_Mbbo("North Area") plot_grid(p9,p10)     ###graphique final sur la localisation par aire principale plot_grid(p1,p2,p3,p4,p5,p6,p7,p8,p9,p10,ncol = 2)     #Localisation par sub_area (within Core Area)   ##complexite myPlot_complexite_sl <- function(subloc) { monResultat <- ggplot(data = df_core %>% filter(SUB_LOCATI == subloc), aes(x = complexite , y = SUB_LOCATI)) + xlim(0, max(df_core$complexite)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   pA <- myPlot_complexite_sl("Core Area northern part") pB <- myPlot_complexite_sl("Core Area central part") pC <- myPlot_complexite_sl("Core Area southern part")   plot_grid(pA,pB,pC, ncol=1)       ##AERA_m2 myPlot_AERA_m2_sl <- function(subloc) { monResultat <- ggplot(data = df_core %>% filter(SUB_LOCATI ==subloc), aes(x = AERA_m2 , y = SUB_LOCATI)) + xlim(0, max(df_core$AERA_m2)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   pG <- myPlot_AERA_m2_sl("Core Area northern part") pH <- myPlot_AERA_m2_sl("Core Area central part") pI <- myPlot_AERA_m2_sl("Core Area southern part") plot_grid(pG,pH,pI, ncol=1)   ##R_AREA_BUI myPlot_R_AREA_BUI_sl <- function(subloc) { monResultat <- ggplot(data = df_core %>% filter(SUB_LOCATI ==subloc), aes(x = R_AREA_BUI , y = SUB_LOCATI)) + xlim(0, max(df_core$R_AREA_BUI)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   pJ <- myPlot_R_AREA_BUI_sl("Core Area northern part") pK <- myPlot_R_AREA_BUI_sl("Core Area central part") pL <- myPlot_R_AREA_BUI_sl("Core Area southern part") plot_grid(pJ,pK,pL, ncol=1)   ##ratio_Mbbo myPlot_ratio_Mbbo_sl <- function(subloc) { monResultat <- ggplot(data = df_core %>% filter(SUB_LOCATI ==subloc), aes(x = ratio_Mbbo , y = SUB_LOCATI)) + xlim(0, max(df_core$ratio_Mbbo)) + geom_violin(scale=scale, alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + labs(title ="", x= "", y ="") + theme(axis.text.y = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill) ) return(monResultat) }   pM <- myPlot_ratio_Mbbo_sl("Core Area northern part") pN <- myPlot_ratio_Mbbo_sl("Core Area central part") pO <- myPlot_ratio_Mbbo_sl("Core Area southern part") plot_grid(pM,pN,pO, ncol=1)     ###graphique final sur la sublocalisation par aire de la core area plot_grid(pA,pD,pG,pJ,pM,pB,pE,pH,pK,pN,pC,pF,pI,pL,pO, ncol=5, nrow=3)         --------------------------------------------------------------------------   library(tidyverse) library(readxl) #library(ggplot2) library(writexl) #library(RColorBrewer) #library(cowplot) library(dplyr) #library(data.table) library(doBy)     df <- read_excel(path = "C:/data/mon_fichier.xlsx") df = rename(df, "Complexity" = `complexite`, "Proximity" = `ind_prox`, "Area" = `AERA_m2`, "Built up ratio" = `R_AREA_BUI`, "Elongation" = `ratio_Mbbo`) as.factor(df$SUB_LOCATI) df$SUB_LOCATI <- recodeVar(df$SUB_LOCATI, c("Core Area southern part","Core Area northern part", "Core Area central part"),c("South","North","Central part"))   #variables esthétiques ##violin scale <- "area" violin_alpha <- 0 violin_color <- "red" violin_lw <- 0.3 ##jitter jitter_color <- "#484b4f" jitter_alpha<-0.2 jitter_size<-1 ##theme ###plot_title(pt) pt_hjust <- 0 pt_color <- "black" pt_size <- 12 ###panel.background(pb) pb_fill <- "white" pb_colour <- "white" pb_linewidth <- 2 pb_linetype <- "solid" ###panel.grid(pg) pg_fill <- "white" pg_colour <- "#ededed" pg_linewidth <- 0.05 pg_linetype <- "solid" ###plot.background(plb) plb_fill <- "grey"   #complexité ##core vs north area df_long <- df %>% gather(variable, value, -LOCATION, -SUB_LOCATI)   df_long$variable <- as.factor(df_long$variable)   ggplot(data = df_long, aes(x = LOCATION, y= value)) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + geom_violin(alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + geom_boxplot(width = 0.1) theme(axis.ticks = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill)) + ggtitle("Core Area vs North Area") + xlab("") + ylab("") + facet_wrap(~factor(variable,levels=c('Complexity', 'Proximity', 'Area', 'Built up ratio', 'Elongation')), scales="free")     ##within core area df_core <- subset(df,df$LOCATION == "Core Area") %>% gather(variable, value, -SUB_LOCATI, -LOCATION)   df_core$variable <- as.factor(df_core$variable)   ggplot(data = df_core, aes(x = value, y= factor(SUB_LOCATI, levels=c('South', 'Central part', 'North')))) + geom_jitter(color=jitter_color, size=jitter_size, alpha=jitter_alpha) + geom_violin(alpha = violin_alpha, color=violin_color, linewidth=violin_lw) + theme(axis.ticks = element_blank(), plot.title = element_text(hjust = pt_hjust, color = pt_color, size = pt_size), panel.background = element_rect(fill = pb_fill, colour = pb_colour, linewidth = pb_linewidth, linetype = pb_linetype), panel.grid.major = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), panel.grid.minor = element_line(linewidth = pg_linewidth, linetype = pg_linetype, colour = pg_colour), plot.background = element_rect(fill = plb_fill)) + ggtitle("Core areas") + xlab("") + ylab("") + facet_wrap(~factor(variable, levels=c('Complexity', 'Proximity', 'Area', 'Built up ratio', 'Elongation')), scales="free")

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