Modyfikuj etykiety osi X w każdym aspekcie

Question

Mam tę tabelę - Chciałbym dodać do każdej etykiety tekst N=xx w celu oznaczenia liczby obserwacji. Wiem, jak to zrobić i zrobiłem to na wykresach bez faset.

Kiedy próbowałem że na aspektach wykresie to nie działa (Mam ten sam N na otwartym kleszcza na wszystkich 3 wykresów, to samo dotyczy na ograniczony, itd.)

Mam nadzieję, że ktoś może wskazać drogę do rozwiązania, w jaki sposób kontrolować elementy na danym elemencie?

library(ggplot2) 
library(scales) 

stat_sum_single <- function(fun, geom="point", ...) { 
    stat_summary(fun.y=fun, fill="red", geom=geom, size = 5, shape=24) 
} 

set.seed(1) 
data1 <- data.frame(Physicians_In=sample(1:3,100,replace=T),Physicians_Out=sample(1:3,100,replace=T),share=runif(100,0,1)) 
data1$Physicians_In <- factor(data1$Physicians_In,levels=c(1,2,3),labels=c("Open","Restricted","Closed")) 
data1$Physicians_Out <- factor(data1$Physicians_Out,levels=c(1,2,3),labels=c("Open","Restricted","Closed")) 

access_ch3 <- ggplot(data1,aes(x=Physicians_In,y=share,fill=Physicians_In))+geom_boxplot()+stat_sum_single(mean) 
access_ch3 <- access_ch3 +geom_jitter(position = position_jitter(width = .2),color="blue")+theme_bw() 
access_ch3 <- access_ch3 + theme(legend.position="none") +scale_y_continuous("Gammagard Share",labels=percent) 
gpo_labs5 <- paste(gsub("/","-\n",names(table(data1$Physicians_Out)),fixed=T),"\n(N=",table(data1$Physicians_Out),")",sep="") 
access_ch3 <- access_ch3 + scale_x_discrete("Physician Access (In Hospital)",labels=gpo_labs5) 
access_ch3 <- access_ch3 +facet_grid(.~Physicians_Out,labeller=label_both) 
access_ch3 

Próbowałem tworzenia etykiet 9 i przechodząc ten wektor z elementem scale_x_discrete, że właśnie z recyklingu pierwszy 3, więc to też nie rozwiązuje problemu.

Answer 1

To nie jest dokładnie to, co chcesz zrobić, ale myślę, że może to być pomocne (przynajmniej dobry początek)

library(ggplot2) 
library(plyr) 
data1 <- ddply(data1,.(Physicians_Out,Physicians_In),transform,label = length(share)) 
ggplot(data1,aes(x=Physicians_In,y=share,fill=Physicians_In))+ 
    geom_boxplot() + 
    stat_sum_single(mean) + 
    facet_grid(.~Physicians_Out,labeller=label_both,scales='free_x') + 
    stat_summary(fun.y=min,aes(label=paste0('N=',label)),geom='text',col='blue',cex=5) 

Answer 2

z tymi samymi danymi Śledziłem podejście cztery kroku .

Pierwsze: podzbiorów danych

open <- subset(data1, Physicians_Out == "Open") 
restr <- subset(data1, Physicians_Out == "Restricted") 
closed <- subset(data1, Physicians_Out == "Closed") 

drugie: tworzenie etykiet dla różnych podzbiorów

labs.open <- paste(gsub("/","-\n",names(table(open$Physicians_In)),fixed=T), 
       "\n(N=",table(open$Physicians_In),")",sep="") 
labs.restr <- paste(gsub("/","-\n",names(table(restr$Physicians_In)),fixed=T), 
       "\n(N=",table(restr$Physicians_In),")",sep="") 
labs.closed <- paste(gsub("/","-\n",names(table(closed$Physicians_In)),fixed=T), 
       "\n(N=",table(closed$Physicians_In),")",sep="") 

trzecie: stworzenie motywu do usuwania oś y etykiet & tekst 2. & 3 podrzędne wykresy:

mytheme <- theme(
    axis.title.y = element_blank(), 
    axis.text.y = element_blank(), 
    axis.ticks.y = element_blank() 
) 

Fin sojusznik: tworzenie wykresu

p1 <- ggplot(open,aes(x=Physicians_In,y=share,fill=Physicians_In)) + 
    geom_boxplot() + stat_sum_single(mean) + 
    geom_jitter(position = position_jitter(width = .2),color="blue") + 
    guides(fill=FALSE) + 
    ggtitle(paste("Physician Access (Out): Open\nN = (", nrow(open), ")\n")) + 
    scale_y_continuous("Gammagard Share",labels=percent) + 
    scale_x_discrete("\nPhysician Access (In Hospital)",labels=labs.open) + 
    theme_bw() 

p2 <- ggplot(restr,aes(x=Physicians_In,y=share,fill=Physicians_In)) + 
    geom_boxplot() + stat_sum_single(mean) + 
    geom_jitter(position = position_jitter(width = .2),color="blue") + 
    guides(fill=FALSE) + 
    ggtitle(paste("Physician Access (Out): Restricted\nN = (", nrow(restr), ")\n")) + 
    scale_x_discrete("\nPhysician Access (In Hospital)",labels=labs.restr) + 
    theme_bw() + mytheme 

p3 <- ggplot(closed,aes(x=Physicians_In,y=share,fill=Physicians_In)) + 
    geom_boxplot() + stat_sum_single(mean) + 
    geom_jitter(position = position_jitter(width = .2),color="blue") + 
    guides(fill=FALSE) + 
    ggtitle(paste("Physician Access (Out): Closed\nN = (", nrow(closed), ")\n")) + 
    scale_x_discrete("\nPhysician Access (In Hospital)",labels=labs.closed) + 
    theme_bw() + mytheme 

library(gridExtra) 

grid.arrange(p1, p2, p3, ncol=3) 

co daje następujący wynik: