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#!/usr/bin/env Rscript
#
# @license Apache-2.0
#
# Copyright (c) 2018 The Stdlib Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Set the precision to 16 digits:
options( digits = 16 );
#' Generate test fixtures.
#'
#' @examples
#' main();
main <- function() {
#' Get the script filepath.
#'
#' @return The absolute path of this script
#'
#' @examples
#' filepath <- get_script_path();
get_script_path <- function() {
args <- commandArgs( trailingOnly = FALSE );
needle <- "--file=";
match <- grep( needle, args );
if ( length( match ) > 0 ) {
# Rscript:
filepath <- sub( needle, "", args[match] );
} else {
ls_vars <- ls( sys.frames()[[1]] )
if ( "fileName" %in% ls_vars ) {
# Source'd via RStudio:
filepath <- sys.frames()[[1]]$fileName; # nolint
} else {
# Source'd via R console:
filepath <- sys.frames()[[1]]$ofile;
}
}
return( normalizePath( filepath ) );
}
#' Convert a data structure to JSON.
#'
#' @param x A data structure to convert
#' @return JSON blob
#'
#' @examples
#' x <- seq( -6.5, 25, 0.5 );
#' json <- to_json( x );
to_json <- function( x ) {
return( jsonlite::toJSON( x, digits = 16, auto_unbox = TRUE ) );
}
#' Generate an output absolute filepath based on the script directory.
#'
#' @param name An output filename
#' @return An absolute filepath
#'
#' @examples
#' filepath <- get_filepath( "data.json" );
get_filepath <- function( name ) {
return( paste( source_dir, "/", name, sep = "" ) );
}
# Get the directory of this script:
source_dir <- dirname( get_script_path() );
# Generate test fixture data:
rho <- 0.5;
x <- rnorm( 200 );
y <- rnorm( 200, 0.0, sqrt( 1.0 - rho*rho ) ) + rho*x;
out <- cor.test( x, y, method = "pearson" );
# Convert fixture data to JSON:
twosided <- list(
x = x,
y = y,
statistic = out$statistic,
pValue = out$p.value,
ci = out$conf.int
);
twosided <- to_json( twosided );
# Write the data to file...
filepath <- get_filepath( "twosided.json" );
write( twosided, filepath );
# Generate test fixture data:
x <- rnorm( 200 );
y <- rnorm( 200 ) - 0.5*x;
out <- cor.test( x, y, method = "pearson", alternative = "less" );
less <- list(
x = x,
y = y,
statistic = out$statistic,
pValue = out$p.value,
ci = out$conf.int
);
less <- to_json( less );
# Write the data to file...
filepath <- get_filepath( "less.json" );
write( less, filepath );
# Generate test fixture data:
x <- rnorm( 200 );
y <- rnorm( 200 ) - 0.1*x;
out <- cor.test( x, y, method = "pearson", alternative = "greater" );
greater <- list(
x = x,
y = y,
statistic = out$statistic,
pValue = out$p.value,
ci = out$conf.int
);
greater <- to_json( greater );
# Write the data to file...
filepath <- get_filepath( "greater.json" );
write( greater, filepath );
}
main();
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