[R] Displaying Results in Two Columns

[R Newbie]

Could I have some suggestions as to how (various ways) I can display my confidence interval results?

rm(list = ls())
set.seed(1)
func <- function(d,t,beta,lambda,alpha,p.gamma,delta,B){
	d <- c(5,1,5,14,3,19,1,1,4,22)
	t <- c(94.32,15.72,62.88,125.76,5.24,31.44,1.048,1.048,2.096,10.48)
	post <- matrix(0, nrow = 11, ncol = B)
	theta <- c(lambda,beta)
	beta.hat <- 2.471546
	for(j in 1:B){
		for(i in 1:(B-1)){
			c.lambda <- rgamma(10,d+alpha,t+beta.hat)
			c.beta <- rgamma(1,10*alpha+p.gamma,delta+sum(lambda))
			c.theta <- c(c.lambda,c.beta)
			pi.func <- prod((c.lambda/lambda)^(d+alpha-1)*exp(-t*(c.lambda-lambda)))*(c.beta/beta)^(10*alpha+p.gamma-1)*exp(-c.beta*(delta+sum(c.lambda))+beta*(delta+sum(lambda)))
			g.x <- prod((beta.hat+t)^(alpha+d)*lambda^(alpha+d-1)*exp(-lambda*(beta.hat+t))/gamma(alpha+d))*(sum(lambda)+delta)^(p.gamma+10*alpha)*beta^(p.gamma+10*alpha-1)*exp(-beta*(sum(lambda)+delta))/gamma(p.gamma+10*alpha)
			g.y <- prod((beta.hat+t)^(alpha+d)*c.lambda^(alpha+d-1)*exp(-lambda*(beta.hat+t))/gamma(alpha+d))*(sum(c.lambda)+delta)^(p.gamma+10*alpha)*c.beta^(p.gamma+10*alpha-1)*exp(-c.beta*(sum(c.lambda)+delta))/gamma(p.gamma+10*alpha)
			a <- pi.func*(g.x/g.y)
			if(a>1){
				theta<-c.theta
			}
			else
			theta <- theta+(c.theta-theta)*rbinom(1,1,alpha)
		}
		post[,j] <- theta
		#print(post[,j])
	}
	mean <- apply(post,1,mean)
	ci <- apply(post,1,quants)
	return(list("The Means" = mean, "The Corresponding Confidence Intervals" = ci))
}
quants <- function(x){
	lo <- quantile(x,.025)
	hi <- quantile(x,.975)
	return(c(lo,hi))
}
(out <- func(d,t,beta=1.5,lambda=rep(0.5,10),alpha=1.8,p.gamma=0.01,delta=1,B=100))