A short script you can use to test if rstan is installed and working correctly.

rstan_test_script.R

# Prior to the tutorial make sure that the script below runs without error on your R installation.
# What you need is a working installation of Stan: http://mc-stan.org/ .
# For installation instructions, see here: 
# https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started

# After installation you should be able to run this script which should output
# some summary statistics and some pretty plots, :)

# Generating some fake data
set.seed(123)
y <- rbinom(30, size = 1, prob = 0.2016)

# Fitting a simple binomial model using Stan
library(rstan)

model_string <- "
data {
  int n;
  int y[n];
}

parameters {
  real<lower=0, upper=1> theta;
}

model {
  y ~ bernoulli(theta);
}"

stan_samples <- stan(model_code = model_string, data = list(y = y, n = length(y)) )
stan_samples
traceplot(stan_samples)
plot(stan_samples)