gshotwell

#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
#    http://shiny.rstudio.com/
#

library(shiny)

gshotwell

call <- substitute(ifelse(v == 1,
                          "banana",
                          ifelse(v == 2,
                                 2,
                                 NA))
)

parse_ifelse <- function(call) {
  if (deparse(call[[3]][[1]]) == "ifelse") {
    top_call <- deparse(call[[2]])

gshotwell

tbl.mock_db <- function(src, name, ...) {
  return(src[[name]])
}

new_mock_db <-function(path) {
    files <- list.files(path, full.names = TRUE)  
    con <- purrr::map(files, ~readr::read_csv(., col_types = classes[[basename(.)]]))
    names(con) <- gsub(".csv$", "", basename(files))
    class(con) <- c("mock_db", "list")

gshotwell

releasePackages <- function() {
  dir.create("builds")
  on.exit(unlink("builds", recursive = TRUE))
  
  if (repository_head()$name != "master") {
    stop("You can only release the master branch. Merge your changes into master before releasing.")
  }
  
  repo <- gitPath("repo")
  released <- readRDS(file.path(repo, "src", "contrib", "PACKAGES.rds"))

gshotwell

match_vector <- function(vec) {
  name <- deparse(substitute(vec))
  length <- length(vec)
  if (length < 10) {
    identity_test <- glue::glue("expect_equal({name}, c(",
                                paste0(vec, collapse = ", "),
                                ")")
  }
  expectations <- c(
    glue::glue("expect_is({name}, 'vector')"),

gshotwell

library(tidyverse)
add <- function(...){
    args <- eval(substitute(alist(...)))
    args <- replaceMissingWithZero(args)
    args %>% purrr::reduce(sum)
}

replaceMissingWithZero <- function(l){
    out <- lapply(l, function(x){
        if (rlang::is_missing(x)) {

gshotwell

> test_df6  <- create_test_df(cols=4, rows=40, levels_per_var= 6)  # See appendix for 'create_test_df'
> g_test_df6  <- group_by(test_df6, a, b, c)
> 
> base_split <- function(df)split(test_df6 , test_df6[, c('a', 'b', 'c')])
> 
> microbenchmark::microbenchmark(
+   base_split(test_df6),
+   split(g_test_df6)
+ )
#Unit: milliseconds

gshotwell

str <- "asdfasdf"
char <- data_frame(
    letters = unlist(strsplit(str, "")),
    skip = FALSE)
uniques <- c()
for (q in nchar(str):1) {
    for (i in 1:(nchar(str) - q + 1)) {
        start <- i
        end   <- i + q - 1
        if (all( char$skip[start:end])) {

gshotwell

basic_output <- structure(list(name = "new_var", derivation = structure(list(
    `function` = "case", args = list(structure(list(column = structure(1:3, class = "AsIs"), 
        type = structure(list(value = structure(list(class = "categorical", 
            categories = list(structure(list(id = 1L, name = "one", 
                numeric_value = NULL, missing = FALSE), .Names = c("id", 
            "name", "numeric_value", "missing")), structure(list(
                id = 2L, name = "two", numeric_value = NULL, 
                missing = FALSE), .Names = c("id", "name", "numeric_value", 
            "missing")), structure(list(id = 3L, name = "three", 
                numeric_value = NULL, missing = FALSE), .Names = c("id", 

gshotwell

`%d%` <- function(vars, list){
  for(i in vars){
    assign(i, list[[i]], envir = .GlobalEnv)
  }
}

c("mpg", "cyl") %d% mtcars

test_list = list(cars = mtcars, 
                 numbers = 1:500,