Here you will find daily news and tutorials about R, contributed by over 750 bloggers.
There are many ways to follow us - By e-mail:On Facebook: If you are an R blogger yourself you are invited to add your own R content feed to this site (Non-English R bloggers should add themselves- here)

Having missed the earliest entry by Radford last month, due to disconnection in Yosemite, I was stunned to read his three entries of the past month about R performances being significantly modify when changing brackets with curly brackets! I (obviously!) checked on my own machine and found indeed the changes in system.time uncovered by Radford… The worst is that I have a tendency to use redundant brackets to separate entities in long expressions and thus make them more readable (I know, this is debatable!), so each new parenthesis add to the wasted time… Note that it is the same with curly bracket: any extra curly bracket takes some additional computing time…

> f=function(n) for (i in 1:n) x=1/(1+x)
> g=function(n) for (i in 1:n) x=(1/(1+x))
> h=function(n) for (i in 1:n) x=(1+x)^(-1)
> j=function(n) for (i in 1:n) x={1/{1+x}}
> k=function(n) for (i in 1:n) x=1/{1+x}
> x=1
> system.time(f(10^6))
user system elapsed
1.684 0.020 1.705
> system.time(g(10^6))
user system elapsed
1.964 0.012 1.976
> system.time(h(10^6))
user system elapsed
2.452 0.016 2.470
> system.time(j(10^6))
user system elapsed
1.716 0.008 1.725
> system.time(k(10^6))
user system elapsed
1.532 0.016 1.548