Hey Mike,
I was wondering if there is anyway to make the attached boxplot more visually appealing?
The data file is to big to load.
The code I use:
library(ggplot2)
library(plotrix)
library(gridExtra)
library(ggthemes)
p1 <- ggplot(surv, aes(x=age, y=values))
p1+facet_grid(species~sex, scales="free_y")
p <- ggplot(surv, aes(factor(age, levels=c("Pup", "Juvenile", "Adult")), values))+
theme_bw() + theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
strip.background = element_rect(colour="black", fill="white"),
strip.background = element_blank())#### Removes everything
p + geom_boxplot() +facet_grid(sex~species, scales="free_y") +
ylab("Survival probability") + xlab('Age class')

Hey Mike,
I was wondering if there is anyway to make the attached boxplot more visually appealing?
The data file is to big to load.
The code I use:
library(ggplot2)
library(plotrix)
library(gridExtra)
library(ggthemes)
p1 <- ggplot(surv, aes(x=age, y=values))
p1+facet_grid(species~sex, scales="free_y")
p <- ggplot(surv, aes(factor(age, levels=c("Pup", "Juvenile", "Adult")), values))+
theme_bw() + theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
strip.background = element_rect(colour="black", fill="white"),
strip.background = element_blank())#### Removes everything
p + geom_boxplot() +facet_grid(sex~species, scales="free_y") +
ylab("Survival probability") + xlab('Age class')