## [1] "/Users/taylornelson/Desktop/PSU_DAT3000_IntroToDA/03_module6"## function (..., list = character(), package = NULL, lib.loc = NULL,
## verbose = getOption("verbose"), envir = .GlobalEnv, overwrite = TRUE)
## {
## fileExt <- function(x) {
## db <- grepl("\\.[^.]+\\.(gz|bz2|xz)$", x)
## ans <- sub(".*\\.", "", x)
## ans[db] <- sub(".*\\.([^.]+\\.)(gz|bz2|xz)$", "\\1\\2",
## x[db])
## ans
## }
## my_read_table <- function(...) {
## lcc <- Sys.getlocale("LC_COLLATE")
## on.exit(Sys.setlocale("LC_COLLATE", lcc))
## Sys.setlocale("LC_COLLATE", "C")
## read.table(...)
## }
## stopifnot(is.character(list))
## names <- c(as.character(substitute(list(...))[-1L]), list)
## if (!is.null(package)) {
## if (!is.character(package))
## stop("'package' must be a character vector or NULL")
## }
## paths <- find.package(package, lib.loc, verbose = verbose)
## if (is.null(lib.loc))
## paths <- c(path.package(package, TRUE), if (!length(package)) getwd(),
## paths)
## paths <- unique(normalizePath(paths[file.exists(paths)]))
## paths <- paths[dir.exists(file.path(paths, "data"))]
## dataExts <- tools:::.make_file_exts("data")
## if (length(names) == 0L) {
## db <- matrix(character(), nrow = 0L, ncol = 4L)
## for (path in paths) {
## entries <- NULL
## packageName <- if (file_test("-f", file.path(path,
## "DESCRIPTION")))
## basename(path)
## else "."
## if (file_test("-f", INDEX <- file.path(path, "Meta",
## "data.rds"))) {
## entries <- readRDS(INDEX)
## }
## else {
## dataDir <- file.path(path, "data")
## entries <- tools::list_files_with_type(dataDir,
## "data")
## if (length(entries)) {
## entries <- unique(tools::file_path_sans_ext(basename(entries)))
## entries <- cbind(entries, "")
## }
## }
## if (NROW(entries)) {
## if (is.matrix(entries) && ncol(entries) == 2L)
## db <- rbind(db, cbind(packageName, dirname(path),
## entries))
## else warning(gettextf("data index for package %s is invalid and will be ignored",
## sQuote(packageName)), domain = NA, call. = FALSE)
## }
## }
## colnames(db) <- c("Package", "LibPath", "Item", "Title")
## footer <- if (missing(package))
## paste0("Use ", sQuote(paste("data(package =", ".packages(all.available = TRUE))")),
## "\n", "to list the data sets in all *available* packages.")
## else NULL
## y <- list(title = "Data sets", header = NULL, results = db,
## footer = footer)
## class(y) <- "packageIQR"
## return(y)
## }
## paths <- file.path(paths, "data")
## for (name in names) {
## found <- FALSE
## for (p in paths) {
## tmp_env <- if (overwrite)
## envir
## else new.env()
## if (file_test("-f", file.path(p, "Rdata.rds"))) {
## rds <- readRDS(file.path(p, "Rdata.rds"))
## if (name %in% names(rds)) {
## found <- TRUE
## if (verbose)
## message(sprintf("name=%s:\t found in Rdata.rds",
## name), domain = NA)
## objs <- rds[[name]]
## lazyLoad(file.path(p, "Rdata"), envir = tmp_env,
## filter = function(x) x %in% objs)
## break
## }
## else if (verbose)
## message(sprintf("name=%s:\t NOT found in names() of Rdata.rds, i.e.,\n\t%s\n",
## name, paste(names(rds), collapse = ",")),
## domain = NA)
## }
## files <- list.files(p, full.names = TRUE)
## files <- files[grep(name, files, fixed = TRUE)]
## if (length(files) > 1L) {
## o <- match(fileExt(files), dataExts, nomatch = 100L)
## paths0 <- dirname(files)
## paths0 <- factor(paths0, levels = unique(paths0))
## files <- files[order(paths0, o)]
## }
## if (length(files)) {
## for (file in files) {
## if (verbose)
## message("name=", name, ":\t file= ...", .Platform$file.sep,
## basename(file), "::\t", appendLF = FALSE,
## domain = NA)
## ext <- fileExt(file)
## if (basename(file) != paste0(name, ".", ext))
## found <- FALSE
## else {
## found <- TRUE
## switch(ext, R = , r = {
## library("utils")
## sys.source(file, chdir = TRUE, envir = tmp_env)
## }, RData = , rdata = , rda = load(file, envir = tmp_env),
## TXT = , txt = , tab = , tab.gz = , tab.bz2 = ,
## tab.xz = , txt.gz = , txt.bz2 = , txt.xz = assign(name,
## my_read_table(file, header = TRUE, as.is = FALSE),
## envir = tmp_env), CSV = , csv = , csv.gz = ,
## csv.bz2 = , csv.xz = assign(name, my_read_table(file,
## header = TRUE, sep = ";", as.is = FALSE),
## envir = tmp_env), found <- FALSE)
## }
## if (found)
## break
## }
## if (verbose)
## message(if (!found)
## "*NOT* ", "found", domain = NA)
## }
## if (found)
## break
## }
## if (!found) {
## warning(gettextf("data set %s not found", sQuote(name)),
## domain = NA)
## }
## else if (!overwrite) {
## for (o in ls(envir = tmp_env, all.names = TRUE)) {
## if (exists(o, envir = envir, inherits = FALSE))
## warning(gettextf("an object named %s already exists and will not be overwritten",
## sQuote(o)))
## else assign(o, get(o, envir = tmp_env, inherits = FALSE),
## envir = envir)
## }
## rm(tmp_env)
## }
## }
## invisible(names)
## }
## <bytecode: 0x10f5a2e30>
## <environment: namespace:utils>## # A tibble: 662 × 31
## town11cd town11nm population_2011 size_flag rgn11nm coastal coastal_detailed
## <chr> <chr> <dbl> <chr> <chr> <chr> <chr>
## 1 E34000007 Carlton… 5456 Small To… East M… Non-co… Smaller non-coa…
## 2 E34000016 Dorches… 19060 Small To… South … Non-co… Smaller non-coa…
## 3 E34000020 Ely BUA 19090 Small To… East o… Non-co… Smaller non-coa…
## 4 E34000026 Market … 6429 Small To… Yorksh… Non-co… Smaller non-coa…
## 5 E34000027 Downham… 10884 Small To… East o… Non-co… Smaller non-coa…
## 6 E34000039 Penrith… 15181 Small To… North … Non-co… Smaller non-coa…
## 7 E34000048 Bolsove… 11754 Small To… East M… Non-co… Smaller non-coa…
## 8 E34000056 Southam… 6567 Small To… West M… Non-co… Smaller non-coa…
## 9 E34000067 Royston… 15781 Small To… East o… Non-co… Smaller non-coa…
## 10 E34000068 Studley… 6203 Small To… West M… Non-co… Smaller non-coa…
## # ℹ 652 more rows
## # ℹ 24 more variables: ttwa11cd <chr>, ttwa11nm <chr>,
## # ttwa_classification <chr>, job_density_flag <chr>, income_flag <chr>,
## # university_flag <chr>, level4qual_residents35_64_2011 <chr>,
## # ks4_2012_2013_counts <dbl>,
## # key_stage_2_attainment_school_year_2007_to_2008 <dbl>,
## # key_stage_4_attainment_school_year_2012_to_2013 <dbl>, …## # A tibble: 1,104 × 31
## town11cd town11nm population_2011 size_flag rgn11nm coastal coastal_detailed
## <chr> <chr> <dbl> <chr> <chr> <chr> <chr>
## 1 E34000007 Carlton… 5456 Small To… East M… Non-co… Smaller non-coa…
## 2 E34000016 Dorches… 19060 Small To… South … Non-co… Smaller non-coa…
## 3 E34000020 Ely BUA 19090 Small To… East o… Non-co… Smaller non-coa…
## 4 E34000026 Market … 6429 Small To… Yorksh… Non-co… Smaller non-coa…
## 5 E34000027 Downham… 10884 Small To… East o… Non-co… Smaller non-coa…
## 6 E34000039 Penrith… 15181 Small To… North … Non-co… Smaller non-coa…
## 7 E34000048 Bolsove… 11754 Small To… East M… Non-co… Smaller non-coa…
## 8 E34000056 Southam… 6567 Small To… West M… Non-co… Smaller non-coa…
## 9 E34000067 Royston… 15781 Small To… East o… Non-co… Smaller non-coa…
## 10 E34000068 Studley… 6203 Small To… West M… Non-co… Smaller non-coa…
## # ℹ 1,094 more rows
## # ℹ 24 more variables: ttwa11cd <chr>, ttwa11nm <chr>,
## # ttwa_classification <chr>, job_density_flag <chr>, income_flag <chr>,
## # university_flag <chr>, level4qual_residents35_64_2011 <chr>,
## # ks4_2012_2013_counts <dbl>,
## # key_stage_2_attainment_school_year_2007_to_2008 <dbl>,
## # key_stage_4_attainment_school_year_2012_to_2013 <dbl>, …## # A tibble: 1,104 × 1
## size_flag
## <chr>
## 1 Small Towns
## 2 Small Towns
## 3 Small Towns
## 4 Small Towns
## 5 Small Towns
## 6 Small Towns
## 7 Small Towns
## 8 Medium Towns
## 9 Small Towns
## 10 Small Towns
## # ℹ 1,094 more rows## # A tibble: 8 × 2
## size_flag avg_population
## <chr> <dbl>
## 1 City 395611
## 2 Inner London BUA NA
## 3 Large Towns 117599.
## 4 Medium Towns 36899.
## 5 Not BUA NA
## 6 Other Small BUAs NA
## 7 Outer london BUA NA
## 8 Small Towns 10393.