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
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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。