r - Multiple binomial tests in one code -

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i perform exact binomial test, binom r package(binom.test function), 4 different number of successes 4 different probability values.

i can singularly, know if can write code calculation in 1 command (e.g. lapply, loop).

x <- c(68, 69, 70, 75)  #number of successes p <- c(1/365, 2/365, 3/365, 4/365)  #probability of success n <- 265 #number of trials

the conf.level = 0.95 , alternative = "two.sided" (as outcome can 1 or 0).

any suggestion?

i tried:

for (i in 1:4) {      test[i] <- binom.test(x[i], n, p[i], alternative = "two.sided", conf.level = 0.95)       }

but doesn't work.

use mapply:

mapply(binom.test, x, p, n=n, alternative = "two.sided", conf.level = 0.95, simplify = false)

mapply calls function in first argument values in additional arguments , additional named parameters. (see mapply function)

if want 1 field of result, call mapply this:

mapply(function(x,p,n, ...){          binom.test(x, n, p, ...)$p.value        },        x, p, n=n, alternative = "two.sided", conf.level = 0.95)

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