Code with comments
z=(x-mu)/sigma is used to convert it to standard normal distribution
phi = function(x,mu,sigma) {
z = (x-mu)/sigma
sign = z<0 #sign is negative
z = abs(z) #for using formula, z>=0
a1=0.196854 #constants
a2=0.115194
a3=0.000344
a4=0.019527
h = 1-0.5*((1+a1*z+a2*z**2+a3*z**3+a4*z**4)**(-4)) #apply
formula
if(sign){
h = 1-h #using normal distribution properties, area till -z is same
as (1-area till z)
}
return(h)
}
print("phi at -1,0,1") #testing function
print(phi(-1,0,1))
print("pnorm at -1,0,1")
print(pnorm(-1,0,1))
print("Absolute difference: ")
diff = abs(pnorm(-1,0,1)-phi(-1,0,1))
print(diff)
format(diff, scientific=TRUE)
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