How to use scale_x_continuous() function with trans argument In R Language

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

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.

Syntax:

plot + scale_x_continous( trans ) / scale_y_continous( trans )

Parameter:

trans: determine the type of transformation given axis will go through.

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 scale_x_continuous function with trans argument as log10.

R

#load library ggplot2 
library("ggplot2") 
  
# 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)) 
  
# draw scatter plot using ggplot()  
#and geom_point() function 
plot<- ggplot(sample_data, aes(x_axis_values, y_axis_values)) + 
                  geom_point() 
  
# scale_x_continuous  
#with trans argument transforms axis data to log scale 
plot<- plot + scale_x_continuous(trans = "log10") 
  
# show plot 
plot