mpjdem

(def user (atom {:name "John Doe"
                 :user-state :not-subscribed}))

(println user)          ;; print the memory address
(println (deref user))  ;; dereference the memory address, and print the value 
(println @user)         ;; short-hand form of dereferencing

(defn subscribe [user]
  (when (= :not-subscribed (:user-state @user))
    (swap! user assoc :user-state :subscribed)))

mpjdem

# General functions
atom <- function(obj) {
  atom <- new.env()
  atom$obj <- obj
  atom
}

deref <- function(atom) {
  atom$obj
}

mpjdem

library(Rcpp)

cppFunction('NumericMatrix crossdist(NumericMatrix m1, NumericMatrix m2) {

  int nrow1 = m1.nrow();
  int nrow2 = m2.nrow();
  int ncol = m1.ncol();

  if (ncol != m2.ncol()) {
    throw std::runtime_error("Incompatible number of dimensions");

mpjdem

Keybase proof

I hereby claim:

• I am mpjdem on github.
• I am mpjdem (https://keybase.io/mpjdem) on keybase.
• I have a public key whose fingerprint is DAE3 6756 D415 3A94 9C20 4250 F3D4 70E9 DB34 7CCF

To claim this, I am signing this object:

mpjdem

library(Rcpp)

cppFunction('NumericMatrix crossdist(NumericMatrix m1, NumericMatrix m2) {

  int nrow1 = m1.nrow();
  int nrow2 = m2.nrow();
  int ncol = m1.ncol();
 
  if (ncol != m2.ncol()) {
    throw std::runtime_error("Incompatible number of dimensions");

mpjdem

#!/usr/bin/Rscript --vanilla

# To install {emo}, do: remotes::install_github("hadley/emo")
# commandArgs() parses arguments provided on the command line into a <list>
args <- commandArgs(trailingOnly = TRUE)

# Use cat() for output
cat(emo::ji(args[[1]]), "\n")

mpjdem

library(dplyr)
library(data.table)
library(dtplyr)

df <- data.frame(customer = sample(100000, size = 5000000, replace = TRUE),
                 value = runif(5000000))

# dplyr
t0 <- Sys.time()
res_dp <- df %>%

mpjdem

pick_name <- function() {
  names <- c("Dax", "Wug", "Lep", "Sik", "Bop")
  sample(names)[1]
}

set.seed(100)
print(pick_name()) # Wug
print(runif(1)) # 0.4837707

pick_name <- function() {

mpjdem

library(data.table)
library(keypress)

## Create the universe. Well, sort of.
dims <- c(49, 49)
universe <- CJ(x = seq(dims[1]), y = seq(dims[2]), k = 1, cell = FALSE)
universe[, cell := sample(c(FALSE, TRUE), prod(dims), TRUE)]

## Neighbourhood to consider for each cell
neighbours <- CJ(xd = -1:1, yd = -1:1, k = 1)[xd != 0 | yd != 0]

mpjdem

{
  "R": {
    "Version": "4.1.0",
    "Repositories": [
      {
        "Name": "CRAN",
        "URL": "https://cran.rstudio.com"
      }
    ]
  },