R Under development (unstable) (2023-11-16 r85542 ucrt) -- "Unsuffered Consequences" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library("R.utils") Loading required package: R.oo Loading required package: R.methodsS3 R.methodsS3 v1.8.2 (2022-06-13 22:00:14 UTC) successfully loaded. See ?R.methodsS3 for help. R.oo v1.25.0 (2022-06-12 02:20:02 UTC) successfully loaded. See ?R.oo for help. Attaching package: 'R.oo' The following object is masked from 'package:R.methodsS3': throw The following objects are masked from 'package:methods': getClasses, getMethods The following objects are masked from 'package:base': attach, detach, load, save R.utils v2.12.3 successfully loaded. See ?R.utils for help. Attaching package: 'R.utils' The following object is masked from 'package:utils': timestamp The following objects are masked from 'package:base': cat, commandArgs, getOption, isOpen, nullfile, parse, warnings > > # All predefined types > print(colClasses("-?cdfilnrzDP")) [1] "NULL" "NA" "character" "double" "factor" "integer" [7] "logical" "numeric" "raw" "complex" "Date" "POSIXct" > ## [1] "NULL" "NA" "character" "double" > ## [5] "factor" "integer" "logical" "numeric" > ## [9] "raw" "complex" "Date" "POSIXct" > > # A string in column 1, integers in column 4 and 5, rest skipped > print(colClasses("c--ii----")) [1] "character" "NULL" "NULL" "integer" "integer" "NULL" [7] "NULL" "NULL" "NULL" > ## [1] "character" "NULL" "NULL" "integer" > ## [5] "integer" "NULL" "NULL" "NULL" > ## [9] "NULL" > > # Repeats and custom column classes > c1 <- colClasses("3c{MyClass}3{foo}") > print(c1) [1] "character" "character" "character" "MyClass" "foo" "foo" [7] "foo" > ## [1] "character" "character" "character" "MyClass" > ## [5] "foo" "foo" "foo" > > # Passing repeats and class names using sprintf() syntax > c2 <- colClasses("%dc{%s}%d{foo}", 3, "MyClass", 3) > stopifnot(identical(c1, c2)) > > # Repeats of a vector of column classes > c3 <- colClasses("3{MyClass,c}") > print(c3) [1] "MyClass" "character" "MyClass" "character" "MyClass" "character" > ## [1] "MyClass" "character" "MyClass" "character" > ## [4] "MyClass" "character" > > # Large number repeats > c4 <- colClasses("321{MyClass,c,i,d}") > c5 <- rep(c("MyClass", "character", "integer", "double"), times=321) > stopifnot(identical(c4, c5)) > > proc.time() user system elapsed 0.23 0.07 0.29