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I have a chart where I am charting some very large numbers, in the millions. My audience is unlikely to understand scientific notation, so I'm hoping to label the y axis in something like "2M" for two million for example.
Here's an example. Showing the full value (scales::comma) is better than the scientific notation it defaults to, but is still a bit busy:
library(ggplot2) ggplot(as.data.frame(list(x = c(0, 200,100), y = c(7500000,10000000,2000000))), aes(x = x, y = y)) + geom_point() + expand_limits( x = c(0,NA), y = c(0,NA)) + scale_y_continuous(labels = scales::comma) 
I don't want to rescale the data, since I will be including labels with the values of the individual data points as well.
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Use scale_xx() functions It is also possible to use the functions scale_x_continuous() and scale_y_continuous() to change x and y axis limits, respectively.
To change the axis scales on a plot in base R Language, we can use the xlim() and ylim() functions. The xlim() and ylim() functions are convenience functions that set the limit of the x-axis and y-axis respectively.
First of all, create a vector and its plot using plot function. Then, use options(scipen=999) to remove scientific notation from the plot.
The scale_x_continuous() and scale_y_continuous() methods can be used to disable scientific notation and convert scientific labels to discrete form.
I find scales::unit_format() to be more readable:
library(dplyr) library(scales) library(ggplot2) as.data.frame( list(x = c(0, 200, 100), y = c(7500000, 10000000, 2000000))) %>% ggplot(aes(x, y)) + geom_point() + expand_limits(x = c(0, NA), y = c(0, NA)) + scale_y_continuous(labels = unit_format(unit = "M", scale = 1e-6)) 
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