The fundamental to calculate log in R is by using the log() method in the format of log(value, base) that returns the logarithm of the value in the base.
Log in R
The log() is a built-in R function that calculates logarithms. It calculates natural logarithms by default. The log10() function calculates common (i.e., base 10) logarithms. The log2() function computes binary (i.e., base 2) logarithms.
The general form log(x, base) calculates logarithms with base.
The log1p(x) function calculates accurately also for |x| << 1.
The exp() function calculates the exponential function.
The expm1(x) function calculates accurately for |x| << 1.
Syntax of log()
log(x, base)
Parameters
- x – It is numeric to which log has to be computed
- base – It is the base of the log.
Example
Let’s find the natural log of 11 using the log() function.
data <- log(11)
cat("The natural logarithm of 11 is: ")
cat(data)
Output
The natural logarithm of 11 is: 2.397895
Plotting the log()
The most used plotting function in R programming is the plot() function. It is a generic function that has many methods called according to the type of object passed to the plot().
Open the rstudio and write the following code.
data <- seq(0, 100, by = 0.1)
plot(data, log(data), typ = "l", col = "red")
Output
Find the log of the vector sequence.
To find the log of vector sequence, pass the vector to the log() function. Before that, you have to create a vector sequence if it is not available to you. Let’s create a vector sequence for our example.
vc <- (rep(1:5))
cat("The vector sequence is: ")
cat(vc, "\n")
It will give us the following sequence.
The vector sequence is: 1 2 3 4 5
To find the log, pass the sequence to a log() function.
vc <- (rep(1:5))
cat("The vector sequence is: ")
cat(vc, "\n")
cat("Find the log() of vector sequence is: ")
cat(log(vc))
Output
The vector sequence is: 1 2 3 4 5
Find the log() of vector sequence is: 0 0.6931472 1.098612 1.386294 1.609438
Specify the log base in R
You can specify the base of the log bypassing the second parameter to the log() function.
Let’s find the logarithmic value of the number or vector to the base 3.
data <- log(11, 3)
cat("The log() function in R with base 3: ")
cat(data)
Output
The log() function in R with base 3: 2.182658
Let’s find the log of vector sequence to the base 3.
vc <- (rep(1:5))
cat("The vector sequence is: ")
cat(vc, "\n")
cat("Find the log(vc, 3) of vector sequence is: ")
cat(log(vc, 3))
Output
The vector sequence is: 1 2 3 4 5
Find the log(vc, 3) of vector sequence is: 0 0.6309298 1 1.26186 1.464974
log2() function in R
To calculate the log value with the base 2, use the log2() function.
data <- log2(11)
cat("The log2() value of 11 is: ")
cat(data)
Output
The log2() value of 11 is: 3.459432
Let’s find the log of vector sequence to the base 2.
vc <- (rep(1:5))
cat("The vector sequence is: ")
cat(vc, "\n")
cat("Find the log2() of vector sequence is: ")
cat(log2(vc))
Output
The vector sequence is: 1 2 3 4 5
Find the log2() of vector sequence is: 0 1 1.584963 2 2.321928
log10() function in R
To calculate the log value with the base 10, use the log10() function.
data <- log10(11)
cat("The log10() value of 11 is: ")
cat(data)
Output
The log10() value of 11 is: 1.041393
Let’s find the log of vector sequence to the base 10.
vc <- (rep(1:5))
cat("The vector sequence is: ")
cat(vc, "\n")
cat("Find the log10() of vector sequence is: ")
cat(log10(vc))
Output
The vector sequence is: 1 2 3 4 5
Find the log10() of vector sequence is: 0 0.30103 0.4771213 0.60206 0.69897
Find the log of the column in DataFrame
You can calculate the log of the data frame column in R using the log() function. Let’s create a data frame and calculate the log of one of the data frame’s columns.
gaming <- data.frame(console_name = c("Playstation", "XBOX S"),
console_price = c(399, 299),
game_name = c("Spiderman", "Forza Motors"))
print(gaming)
Output
console_name console_price game_name
1 Playstation 399 Spiderman
2 XBOX S 299 Forza Motors
Let’s find the log values of the console_price column.
gaming <- data.frame(console_name = c("Playstation", "XBOX S"),
console_price = c(399, 299),
game_name = c("Spiderman", "Forza Motors"))
print(gaming)
gaming$price_log <- log(gaming$console_price)
print(gaming)
Output
console_name console_price game_name
1 Playstation 399 Spiderman
2 XBOX S 299 Forza Motors
console_name console_price game_name price_log
1 Playstation 399 Spiderman 5.988961
2 XBOX S 299 Forza Motors 5.700444
In this output, you can see that we have appended one more column called price_log, whose values are the log of a console_price column. So this is how you can use the log() function in R DataFrame.
That is it for the R log() function example.

Krunal Lathiya is an Information Technology Engineer by education and web developer by profession. He has worked with many back-end platforms, including Node.js, PHP, and Python. In addition, Krunal has excellent knowledge of Data Science and Machine Learning, and he is an expert in R Language. Krunal has written many programming blogs, which showcases his vast expertise in this field.