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Type: Package
Title: Visualizing the SD using a Quadratic Curve
Version: 0.1.0
Maintainer: Siddhanta Phuyal <siddhantaphuyal7159@gmail.com>
Description: Given a dataset, the user is invited to utilize the Empirical Cumulative Distribution Function (ECDF) to guess interactively the mean and the mean deviation. Thereafter, using the quadratic curve the user can guess the Root Mean Squared Deviation (RMSD) and visualize the standard deviation (SD). For details, see Sarkar and Rashid (2019)<doi:10.3126/njs.v3i0.25574>, Have You Seen the Standard Deviaton?, Nepalese Journal of Statistics, Vol. 3, 1-10.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.2
Imports: shiny, ggplot2
NeedsCompilation: no
Packaged: 2022-11-16 00:17:42 UTC; siddh
Author: Siddhanta Phuyal [aut, cre], Mamunur Rashid [aut], Jyotirmoy Sarkar [aut]
Repository: CRAN
Date/Publication: 2022-11-16 14:40:13 UTC

data1: the namespace variable.

Description

the namespace variable that stores data provided by the user.

Usage

data1

Format

An object of class numeric of length 5.


Visualizing the SD using a Quadratic Curve

Description

Given a dataset, the user is invited to utilize the Empirical Cumulative Distribution Function (ECDF) to guess interactively the mean and the mean deviation. Thereafter, using the quadratic curve the user can guess the Root Mean Sqaured Deviation (RMSD) and visualize the Standard Deviation (SD). For details, see Sarkar and Rashid (2019), Have You Seen the Standard Deviaiton?, Nepalese Journal of Statistics, Vol. 3, 1-10

Usage

runApp(data)

Arguments

data

a data vector, ideally of a moderate size (say, 10), to be provided by the user. Adventurous users may increase the size.

Value

An interactive shiny application.

Examples


   data <- c(12,13,15,17,20,21,23)
   runApp(data)
   #end of example
    

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.