The ln() function from the SciViews package calculates the natural log of the input vector.
R does not come with an ln() function but provides a log10() function.
Syntax
ln(x)
ln1p()
lg()
lg1p(x)
E
lb()
Parameters
x: It is a numeric or complex vector.
Return value
It returns the natural logarithm of a value.
Example
library("SciViews")
ln(exp(2))
ln1p(c(0, 1, 11, 110))
lg(11 ^ 3)
lg1p(c(0, 1, 11, 110))
E ^ 4
lb(1:4)
Output
[1] 2
[1] 0.0000000 0.6931472 2.4849066 4.7095302
[1] 3.124178
[1] 0.000000 0.301030 1.079181 2.045323
[1] 54.59815
[1] 0.000000 1.000000 1.584963 2.000000
E is the Euler constant and is equal to exp(1).
Plotting
# Load necessary libraries
library(ggplot2)
# Define the range and compute the natural logarithm values
x_values <- seq(0.01, 10, by=0.01)
y_values <- ln(x_values)
# Create the plot
plot <- ggplot(data.frame(x=x_values, y=y_values), aes(x=x, y=y)) +
geom_line(color="red") +
ggtitle("Natural Logarithm Function") +
xlab("x") +
ylab("ln(x)") +
theme_minimal()
# Display the plot
plot
Output
You can see that we plotted a line chart displaying the natural logarithm function.
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