binom.test(4175, 6534, p = 0.5,
+ alternative = c("two.sided"),
+ conf.level = 0.95)
Exact binomial test #Output
data: 4175 and 6534
number of successes = 4175, number of trials = 6534, p-value < 2.2e-16
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
0.6271830 0.6506236
sample estimates:
probability of success
0.6389654
我似乎无法弄清楚如何将binom.test应用于指定的列中的四个行中的每个行(请参阅下文: fct3 =成功数和 tct3 = n试验),相反,我一直在做一个单独的binom。
这是数据框架的示例部分:
Taxon2015_2016 Tct3 Fct3 SR(F/T)3 1 Tanytarsus nearcticus 6534 4175 0.6389654 2 Paratanytarsus penicillatus 4965 2487 0.5009063 3 Corynoneura sp. 4553 3155 0.6929497 4 Psectrocladius sp. 2 4355 2247 0.5159587
我想要分类单元,95%的置信区间和p值在输出中表示
可能有一个非常简单的编码调整,我可以做到,但是被卡住了。
如何在输出中添加标题" Taxon2015_2016",以便在转载结果中显示在分类单元列上方?
循环遍历df2
中数据的每一行,执行binom.test
并返回PVALUE和置信区间值。然后将列名分配给结果。
results <- apply(df2, 1, function( x ) {
model_binom <- binom.test( x = as.numeric( x[3] ),
n = as.numeric( x[2] ),
p = 0.5,
alternative = "two.sided",
conf.level = 0.95)
return( c(pvalue = model_binom$p.value,
CI95_low = model_binom$conf.int[1],
CI95_high = model_binom$conf.int[2]))
})
df2 <- do.call('cbind', list(df2, t(results)))
df2
# Taxon2015_2016 Tct3 Fct3 SR(F/T)3 pvalue CI95_low CI95_high
# 1 Tanytarsus nearcticus 6534 4175 0.6389654 4.151168e-113 0.6271830 0.6506236
# 2 Paratanytarsus penicillatus 4965 2487 0.5009063 9.096078e-01 0.4869008 0.5149108
# 3 Corynoneura sp. 4553 3155 0.6929497 3.469412e-153 0.6793208 0.7063307
# 4 Psectrocladius sp.2 4355 2247 0.5159587 3.650260e-02 0.5009950 0.5309009
数据:
df2 <- structure(list(Taxon2015_2016 = c("Tanytarsus nearcticus", "Paratanytarsus penicillatus",
"Corynoneura sp.", "Psectrocladius sp.2"),
` Tct3` = c(6534L, 4965L, 4553L, 4355L),
Fct3 = c(4175L, 2487L, 3155L, 2247L),
`SR(F/T)3` = c(0.6389654, 0.5009063, 0.6929497, 0.5159587)),
.Names = c("Taxon2015_2016", " Tct3", "Fct3", "SR(F/T)3"),
row.names = c(NA, -4L), class = "data.frame")