# random number generators
x=rnorm(n=1,mean=100,sd=15)
y=runif(n=3,min=1,max=10)

N = 10000
# N = 1000
random.data = rnorm(N, mean=0, sd=1)
hist(random.data, nclass = 50, col = "navy", xlab = "Data",
  probability = T, main = "Histogram of Random Data")

# density of generated data
dens = density(random.data)
lines(dens, col = "orange", lwd = 4)

# theoretical density
x = seq(-4,4,0.1)  
true.norm = dnorm(x, mean = 0, sd = 1)
lines(x,true.norm, col = "green", lty = 3, lwd = 4)
legend("topleft",c("empirical", "theoretical"), lty = c(1,3),
  col = c('orange','green'),lwd=4)

# random sampling
sample(1:10,3)　　　
sample(c(“gu”,“choki”,“pa”),1)
sample(1:10)
sample(0:1, 10, replace=T)
sample(c("Head","Tail"), 10, replace=T)
sample(c("Head","Tail"), 10, replace=T, prob=c(0.9,0.1)) 

# flow control
for (i_loop in 1:5){print(i_loop)}
counter <- 1

while(counter<=10){
  print(counter)
  counter<-counter+1
}

counter <- 1
while(counter^2 <= 10){
  print(c(counter, counter^2))
  counter<-counter+1
}

affil<-"cogsci"
if (affil=="cogsci") {
    print("you are wonderful")
}

affil<-"phil"
if (affil=="cogsci") {
   print("you are wonderful")
 } else {
   print("still, you are wonderful")
}

v1=1633;v2=355;
repeat {
  r=v1%%v2
  print(paste('v1 =',v1,v2 = ',v2,　remainder = ',r))
  v1=v2;v2=r
  if (r==0){ break}
}

counter=6
repeat{ 
  print(counter)
  counter = counter + 1
  if(counter>5){break}
}

counter=6
repeat{
  if(counter>5){break}
  print(counter)
  counter+counter+1
}