I'm producing a graph and R and would like the x axis to be more granular.
Tenure Type Visits Members Percent
1 0 Basic 122446 283975 0.4311858
2 0 Premium 21190 44392 0.4773383
3 1 Basic 92233 283975 0.3247927
4 1 Premium 17909 44392 0.4034285
5 2 Basic 42516 283975 0.1497174
6 2 Premium 9613 44392 0.2165480
plot(Visit_Curve$Tenure, Visit_Curve$Percent, type = "n", main = "Visit Curve")
lines(Visit_Curve$Tenure[Visit_Curve$Type == "Basic"], Visit_Curve$Percent[Visit_Curve$Type == "Basic"], col = "red")
lines(Visit_Curve$Tenure[Visit_Curve$Type == "Premium"], Visit_Curve$Percent[Visit_Curve$Type == "Premium"], col = "blue")
The code above produces a chart that has the x-axis broken down by factors of 50. Is there a way to easily customize the scale in base R plotting? Perhaps have a tick every 10 or 5?
Thanks, Ben
Just make custom axes with axes = FALSE
and ?axis
You can clean up your code substantially:
Visit_Curve <- read.table(header = TRUE, text = "Tenure Type Visits Members Percent
1 0 Basic 122446 283975 0.4311858
2 0 Premium 21190 44392 0.4773383
3 1 Basic 92233 283975 0.3247927
4 1 Premium 17909 44392 0.4034285
5 2 Basic 42516 283975 0.1497174
6 2 Premium 9613 44392 0.2165480")
with(Visit_Curve, {
plot(Tenure, Percent, type = 'n', main = 'Visit Curve', axes = FALSE)
axis(1, at = seq(0, 2, by = .15))
axis(2, at = seq(.15, .45, by = .05), las = 1)
box('plot')
lines(Tenure[Type == 'Basic'], Percent[Type == 'Basic'], col = 'red')
lines(Tenure[Type == 'Premium'], Percent[Type == 'Premium'], col = 'blue')
})
or individually suppress the labels on each axis with xaxt = 'n'
or yaxt = 'n'
with(Visit_Curve, {
plot(Tenure, Percent, type = 'n', main = 'Visit Curve', xaxt = 'n', las = 1)
axis(1, at = seq(0, 2, by = .15))
lines(Tenure[Type == 'Basic'], Percent[Type == 'Basic'], col = 'red')
lines(Tenure[Type == 'Premium'], Percent[Type == 'Premium'], col = 'blue')
})
Or using ggplot2
library('ggplot2')
ggplot(Visit_Curve, aes(Tenure, Percent, colour = Type)) +
geom_line() +
scale_x_continuous(breaks = seq(0, 2, .15)) +
labs(title = 'Visit Curve')