R: Altering the scale of the x-axis in ggplot

Question

guys I have used the code:

Combine_mean %>% ggplot(aes(x=factor(Year), y=Length, colour=gender, group=gender)) + geom_line()

Which has produce a comprehensive graph, x-axis is however cluttered, listing every year from 1674 to 1834. I would prefer to display this in 10 year increments, would I need to adjust my initial data frame and so the results for the lines for both male and female or could this be done through editing the code above.

Answer 1

This should alleviate the issue (I have used dummy data):

library(dplyr)
library(ggplot2)
#Data
Combine_mean <- data.frame(Year=c(seq(1674,1834),seq(1674,1834)),
                           gender=c(rep('female',161),rep('male',161)),
                           Length=c(cumsum(rnorm(161)),cumsum(rnorm(161))))
#Code
Combine_mean %>% 
  ggplot(aes(x=factor(Year), y=Length, colour=gender, group=gender)) +
  geom_line()+
  scale_x_discrete(limits=as.character(seq(1674,1834,by=10)))

Output: