quicksummary: Quick Formatted Summary of Machine Learning Data

In JobNmadu/Dyn4cast: Dynamic Modeling and Machine Learning Environment

Quick Formatted Summary of Machine Learning Data

Description

There is increasing need to make user-friendly and production ready Tables for machine learning data. This function is a simplified quick summary and the output is a formatted table. This is very handy for those who do not have the time to write codes for user-friendly summaries.

Usage

quicksummary(x, Type, Cut, Up, Down, ci = 0.95)

Arguments

x	The data to be summarised. Only numeric data is allowed.
Type	The type of data to be summarised. There are two options here 1 or 2, 1 = Continuous and 2 = Likert-type
Cut	The cut-off point for Likert-type data
Up	The top Likert-type scale, for example, Agree, Constraints etc which would appear in the remark column.
Down	The lower Likert-type scale, for example, Disagree, ⁠Not a Constraint⁠ etc which would appear in the remark column.
ci	Confidence interval which is defaults to 0.95.

Value

The function returns formatted tables of the Quick summary

Summary

List of two data.frames

Examples

library(tidyverse)
# Likert-type data
Up <- "Constraint"
Down <- "Not a constraint"
quicksummary(x = Quicksummary, Type = 2, Cut = 2.60, Up = Up, Down = Down)

# Continuous data
x <- select(linearsystems, 1:6)
quicksummary(x = x, Type = 1)

JobNmadu/Dyn4cast documentation built on June 15, 2025, 9:28 a.m.