Keywords: distribution
### ** Examples require(graphics) ## the standard version qbirthday() # 23
[1] 23
## probability of > 2 people with the same birthday pbirthday(23, coincident = 3)
[1] 0.01441541
## examples from Diaconis & Mosteller p. 858. ## 'coincidence' is that husband, wife, daughter all born on the 16th qbirthday(classes = 30, coincident = 3) # approximately 18
[1] 18
qbirthday(coincident = 4) # exact value 187
[1] 187
qbirthday(coincident = 10) # exact value 1181
[1] 1179
## same 4-digit PIN number qbirthday(classes = 10^4)
[1] 119
## 0.9 probability of three or more coincident birthdays qbirthday(coincident = 3, prob = 0.9)
[1] 135
## Chance of 4 or more coincident birthdays in 150 people pbirthday(150, coincident = 4)
[1] 0.2690146
## 100 or more coincident birthdays in 1000 people: very rare pbirthday(1000, coincident = 100)
[1] 1.531434e-113