How to use scale_x_log10() / scale_y_log10() In R Language

We can convert the axis data into the desired log scale using the scale_x_log10() /  scale_y_log10() function. we use the desired axis function to get the required result.

Syntax:

plot + scale_x_log10() / scale_y_log10()

Note: Using this method only the data plots are converted into the log scale. The axis tick marks and label remain the same.

Example:

Here is a basic scatter plot converted into the log10 scale x-axis by using the scale_x_log10() 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
# scale_x_log10() function converts the x-axis values to
# log10 scale
plot<- ggplot(sample_data, aes(x_axis_values, y_axis_values)) +
                  geom_point() + scale_x_log10()
  
# show plot
plot


Output:



Transform ggplot2 Plot Axis to log Scale in R

In this article, we will discuss how to transform the ggplot2 Plot Axis to log Scale in the R Programming Language. 

Similar Reads

Method 1: Using scale_x_continuous() function with trans argument

We can convert the axis data into the desired log scale using the scale_x_continous() function. We pass the desired log scale as argument trans and the data is transformed according to that log scale in the ggplot2 plot....

Method 2: Using log function in aes() function of ggplot():

...

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....