借助binom.test()
方法,我們可以得到 R 編程中二項式分布假設的二項式檢驗。
用法: binom.test(x, n, p-value)
返回:返回二項式檢驗的值。
範例1:
# Using binom.test() method
gfg <- binom.test(58, 100)
print(gfg)
輸出:
Exact binomial test data: 58 and 100 number of successes = 58, number of trials = 100, p-value = 0.1332 alternative hypothesis:true probability of success is not equal to 0.5 95 percent confidence interval: 0.4771192 0.6780145 sample estimates: probability of success 0.58
範例2:
# Using binom.test() method
gfg <- binom.test(1, 36, 0.6)
print(gfg)
輸出:
Exact binomial test data: 1 and 36 number of successes = 1, number of trials = 36, p-value = 2.597e-13 alternative hypothesis:true probability of success is not equal to 0.6 95 percent confidence interval: 0.0007030252 0.1452892647 sample estimates: probability of success 0.02777778
相關用法
- R語言 dnbinom()用法及代碼示例
- R語言 pnbinom()用法及代碼示例
- R語言 qnbinom()用法及代碼示例
- R語言 rnbinom()用法及代碼示例
- R語言 factanal()用法及代碼示例
- R語言 outer()用法及代碼示例
- R語言 mapply()用法及代碼示例
注:本文由純淨天空篩選整理自Jitender_1998大神的英文原創作品 Performing Binomial Test in R programming – binom.test() Method。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。