SIPlibrary3json: JSON SIPLibrary 3.0 Generator

In probability-management/RSIPlibrary: Creates Excel and Json SIPLibrary Files

Description

Takes a data.frame and an optional data.frame containing metadata and coverts it to a .json format PM.org 3.0 Standard Library readable by ChanceCalc and any .json library reader.

Usage

SIPlibrary3json(
  DATAFRAME,
  filename,
  author,
  METADF = NULL,
  seeds = "generate",
  bounds = c(0, 1),
  boundedness = "u",
  term_saved = 5
)

Arguments

DATAFRAME	Data.frame containing data or SIPs.
filename	Character, ending in ".json"
author	Character.
METADF	Data.frame with named rows of same length as DATAFRAME.
seeds	Optional data.frame input for the HDR seeds. Default is "generate", which calls the HDRSeeds function to generate statistically independent seeds.
bounds	Passed to metalog function, numeric vector specifying lower or upper bounds, none required if the distribution is unbounded.
boundedness	Passed to metalog function, character string specifying unbounded, semi-bounded upper, semi-bounded lower or bounded; accepts values u, su, sl and b (default: 'u').
term_saved	Passed to metalog function, a value between 3 and 16 for the number of terms desired for all SIPs. Default is 5.

Value

Completion notification, file output to WD

Examples

testdf <- data.frame(SIP_1 = rnorm(5000),
SIP_2 = rnorm(5000),
SIP_3 = rnorm(5000),
SIP_4 = rnorm(5000),
SIP_5 = rnorm(5000))

testmeta <- sapply(testdf, FUN = summary)

SIPlibrary3json(testdf, "finaltesting.xlsx", "Aaron Brown", testmeta)

probability-management/RSIPlibrary documentation built on June 2, 2021, 10:19 p.m.