我试图在 R 中创建 t 临界值表。我使用了以下代码,但出了点问题,因为我无法获得正确的值:
t.power <- function(n) {
alpha=c(0.50,0.75,0.80,0.85,0.90,0.95,
0.975,0.99,0.995,0.999,0.9995,1.0)
power=qt(alpha, df=1:n)
return(power)
}
然后我尝试测试它的
n=15
t.power(15)
我得到了
[1] 0.0000000 0.8164966 0.9784723 1.1895669 1.4758840 1.9431803 2.3646243
[8] 2.8964594 3.2498355 4.1437005 4.4369793 Inf 0.0000000 0.6924171
[15] 0.8662450
谁能告诉我我做错了什么?
最佳答案
如果我没有误会你,你想在 qt
和 alpha
跨越的“网格”上评估 1:n
。那么,outer
可以提供帮助:
t.power<-function(n){
alpha <- c(0.50,0.75,0.80,0.85,0.90,0.95,0.975,0.99,0.995,0.999,0.9995,1.0)
"dimnames<-"(outer(alpha, 1:n, FUN = qt), list(quantile = alpha, df = 1:n))
}
t.power(5)
# df
#quantile 1 2 3 4 5
# 0.5 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
# 0.75 1.000000 0.8164966 0.7648923 0.7406971 0.7266868
# 0.8 1.376382 1.0606602 0.9784723 0.9409646 0.9195438
# 0.85 1.962611 1.3862066 1.2497781 1.1895669 1.1557673
# 0.9 3.077684 1.8856181 1.6377444 1.5332063 1.4758840
# 0.95 6.313752 2.9199856 2.3533634 2.1318468 2.0150484
# 0.975 12.706205 4.3026527 3.1824463 2.7764451 2.5705818
# 0.99 31.820516 6.9645567 4.5407029 3.7469474 3.3649300
# 0.995 63.656741 9.9248432 5.8409093 4.6040949 4.0321430
# 0.999 318.308839 22.3271248 10.2145319 7.1731822 5.8934295
# 0.9995 636.619249 31.5990546 12.9239786 8.6103016 6.8688266
# 1 Inf Inf Inf Inf Inf
关于r - T临界值表,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/40335545/