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E in R may somehow sound unfamiliar with many as they first get their hands in. This instruction will go through what it is and how to deal with this arithmetical regard. Let’s dig in!
What Is E In R?
E in R, often known as Euler’s number, is a highly helpful mathematical constant. There is no ration hidden behind such a numerical symbol and its value is about equivalent to 2.71828.
As such, its mission is to serve as the foundation for natural logarithms and be of great use in calculations.
Because of how frequently E in R is used for statistical analysis, knowing how to determine such a R‘s worth in a program is vital.
How To Get E In R?
exp() function in R programming may be of benefit to determine the value of e. This method will return the mathematical e raised to the power of mathematical e raised to a given integer’s power.
That way, a number’s exponential value, denoted by ex, may be obtained using R’s
exp() function. Here, x is passed as an argument to the function.
exp(1) # Euler's number (e) # 2.718282
The exp command may also be used to calculate e2 by simply adding a 2 to the
exp(2) # Euler's number to the power of 2 (e^2) # 7.389056
Due to the fact that the exp function computes the exponentiation with base e, the aforementioned R codes may be utilized to yield Euler’s number.
There is just one parameter for this function, which accepts a real integer or a vector of real values.
When a specific integer, so-called a vector, is supplied as an input,
exp() gives back the mathematical e increased to that number’s power.
Let’s have a look at the coding illustration below.
#Positive number a <- exp(10); print("exp(10): ") print (a)
#negative number b <- exp(-2); print("exp(-2): ") print (b) #zero c <- exp(0); print("exp(0): ") print (c) #vector d <- exp(c(1, -2, 10.4, -7.4)) print("exp(c(1, -2, 10.4, -7.4)): ") print (d)
The expm1 function is another intriguing R programming feature (). It deducts one from the result before returning the number’s exponential value.
We have the same number or Numeric Vector passing options as the
exp() function. The specifics are displayed in the code sample below:
> x <- c(1,2,3) > expm1(x)  1.718282 6.389056 19.085537 > expm1(1)  1.718282
The Bottom Line
Above are neatly what you need to acquire in terms of getting e in R. Hopefully, this article can be helpful to your extreme coding perfection. Also, don’t hesitate but leave a comment if you have any further questions not yet resolved. See then!