**Rock 'n' R » R**, and kindly contributed to R-bloggers)

It’s been a while since the last post. I started my studies as a statistics major in university and have been doing little with R but mostly just reading other blogs and taking our university’s R course which was just the basics so nothing new there.

I mentioned earlier that the Jets are back and they’re doing pretty nice. Teemu Selänne returned to Winnipeg to play against Jets a while ago and it was awesome night.

This post is about programming “challenge” in a Finnish computer themed forum MuroBBS (in Finnish) where people write different programming challenges and others write solutions with different languages. I chose R since it’s not so familiar there.

First warm up was to create following sequence given the amount of maximum stars

*

**

***

****

*****

****

***

**

*

My code for that:

# MuroBBS Ohjelmointipähkinä 1 # http://murobbs.plaza.fi/1707865276-post2.html stars <- function(n) { sequence <- c(1:n, (n-1):1) for (i in sequence) { # Changed from print to cat, thanks for commenting Tal! cat(rep('*', i), "\n") } }

When called, it gives output:

> stars(5) * * * * * * * * * * * * * * * * * * * * * * * * *

However, I started thinking that is there a solution which doesn’t require a loop but that uses some of R’s own vector/list handling techniques?

**edit **I wanna add Tony Breyal’s solution from comments as it’s pretty much superior to my unefficient for-loop:

stars2 <- function(n) { myseq <- c(1:n, (n-1):1) stars <- sapply(myseq, function(i) paste(rep("*", i), collapse = "")) cat(stars, sep = "\n") }

I’ve read about for-loop being really slow so after testing with Tony’s solution, I did little benchmarking to see that my solution really was terrible:

library(rbenchmark) benchmark(stars(100), stars2(100), columns= c("test", "elapsed", "relative"))<strong> </strong> # test elapsed relative #1 stars(100) 20.72 26.5641 #2 stars2(100) 0.78 1.0000

So as you can see, mine was over 26 times slower than Tony’s.

More challenges and solutions in later posts.

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**Rock 'n' R » R**.

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