How to use log function in aes() function of ggplot() In R Language

Method 1: Using scale_x_continuous() function with trans argument

Method 3: Using scale_x_log10() / scale_y_log10()

In this method, we directly pass the parameter value in aes() function of ggplot() function as log. This is the best method as this updates the data point as well as axis tick marks and axis labels all in one go.

Syntax:

ggplot( df, aes( log(x), y)

Parameter :

log: determines any desired log function for transformation

Example:

Here is a basic scatter plot converted into the log10 scale x-axis by using the log10() function in aes function of ggplot() function.

R

# set seed 
set.seed(50000)  
  
# create sample data using rnorm function 
sample_data <- data.frame(x_axis_values = rnorm(1000, 700, 105), 
                   y_axis_values = rnorm(1000, 45, 200)) 
  
#load library ggplot2 
library("ggplot2") 
  
# draw scatter plot using ggplot() and geom_point() function 
# In aes instead of x_axis_values log10(x_axis_values is used 
# this transforms the x-axis scale to log scale 
plot<- ggplot(sample_data, aes(log10(x_axis_values), y_axis_values)) + 
                  geom_point() 
  
# show plot 
plot