Log-Log Plot in Base R
To create a Log-Log plot in base R we pass log(data) as data argument instead of data in the plot() function. The log() function converts the data value into its logarithmic value. The log() function by default calculates the natural logarithms. But if we need to use custom logarithmic values we can use the base parameter of the log function.
Syntax:
log( value, base )
where,
- value: a numeric variable whose logarithm is to be calculated.
- base: a numeric variable with respect to which logarithms are computed.
Example:
Here, is an example of a basic log-log scatter plot made using the log() function of the R Language.
R
# create sample data frame sample_data <- data.frame(x=1:12, y=c(10, 12, 3, 6, 2, 23, 12, 15, 17, 5, 12, 23)) # create scatterplot # Use log function to create log log plot plot( log(sample_data$x), log(sample_data$y) ) |
Output:
How to Create a Log-Log Plot in R?
In this article, we will discuss how to create a Log-Log plot in the R Programming Language.
A log-log plot is a plot that uses logarithmic scales on both the axes i.e., the x-axis and the y-axis.We can create a Log-Log plot in the R language by following methods.
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