There are a few characters “constants” in R and Pi is one of the most used mathematics constants.
What is Pi in Mathematics
The pi, which is written as the Greek letter for p or π, is the ratio of the circumference of any circle to the diameter of that circle.
The circumference of a circle is equal to pi times the diameter (c = πd).
The pi is an irrational number, meaning that its decimal form neither ends (like 1/4 = 0.25) nor becomes repetitive (like 1/6 = 0.166666…).
Pi is an irrational number that’s crucial to many mathematical formulas.
Pi in R
Pi is an inbuilt R constant whose value is 3.141593. The pi constant is a ratio of the circumference of a circle to its diameter. When you define a pi, please note that p of pi is in lowercase.
The value of the pi constant in R is 3.141593.
Calculate the exponential value of pi in R
To calculate the exponential value of pi in R, use the exp() function.
Calculate the cos value of pi
To calculate the cosine value of pi in R, use the cos() function.
Find sine value of pi.
To find the sine value of pi in R, use the sin() function.
Find the tangent of pi in R
To calculate the tangent of pi in R, use the tan() function.
Compute the arccos value of pi
To calculate the arccos value of pi in R, use the acos() function.
 NaN Warning message: In acos(pi) : NaNs produced
It returns NaN value.
Compute the arcsin value of pi
To calculate the arccos value of pi in R, use the asin() function.
 NaN Warning message: In asin(pi) : NaNs produced
It returns NaN too.
Compute the arctan value of pi
To calculate the arccos value of pi in R, use the atan() function.
sinpi() in R
The sinpi() function in R is used to compute the sine value of the input, which is the multiples of pi.
sinpi(0.75) sinpi(0.5) sinpi(1)
 0.7071068  1  0
sinpi(1 / 4) sinpi(1 / 5) sinpi(2 / 5)
 0.7071068  0.5877853  0.9510565
That is it for universal constant pi in R.
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.