Robert Krzyzanowski robertzk

Keybase proof

I hereby claim:

I am robertzk on github.
I am robertzk (https://keybase.io/robertzk) on keybase.
I have a public key ASCNP0cMjdCV7EiZAWBarlaEX29aegpkkPCeFvspkM0ELwo

To claim this, I am signing this object:

env <- new.env()

d <- 1
fn <- function(a, b) {
  a + b + d
}

fn2 <- (function() {
  d <- 2

A translation of Python's itertools to R.

count(10) # 10 11 12 13 14 ...

count <- function(x, step = 1) {
  function() { (x <<- x + step) }
}

Ensure you have a Github account. Next, visit the Github help page to set up your Github auth token.

Make sure git is installed. Open up your terminal, and ensure git is installed by running which git (if you do not see git not found, then you have to do nothing). If you do not have git, run brew install git. Next, configure your git identity.

Finally, copy the authenatication token you obtained earlier, and then run the following line from your terminal (with the token replaced by your token):

echo "export GITHUB_PAT=c1e2feed3242cfa0ab2e560ce4f380f66c6e9547" >> ~/.bash_profile && source ~/.bash_profile

Setting up your Hipchat API token

First, visit the Hipchat account API page. You will have to login with you avantcredit.com hipchat account.

Scroll down and create your Hipchat token with the following permissions:

The token should appear in the list above. Copy the token, and then run the following line from your terminal (with the token replaced by your token):

	capture_calls <- function(e) {
	e$calls <- sys.calls()
	signalCondition(e)
	}

	fn <- function(x) {
	call_another_function(x + 1)
	}

	call_another_function <- function(y) {

	for (i in 1:10) {
	assign(paste0("fn", i), eval(bquote(function(x) { x + .(i) })))
	}

	#' This is my function.
	#'
	#' This does stuff.
	#'
	#' @param x
	#' @return foo.


	ref_filename <- function(ref) {
	attr(ref, "srcfile")$filename
	}

	frame_text <- function(frame) {
	if (identical(frame, .GlobalEnv)) {
	structure(pkg = "_global",
	"global environment"
	)

	wrapped <- function(obj) {
	structure(obj, class = "wrapped")
	}

	`[[.wrapped` <- function(obj, x) {
	if (x == "predict") {
	.subset2(obj, x)
	} else {
	.subset2(obj, "model")[[x]]
	}