Package: nipnTK 0.2.2.9000

Ernest Guevarra

nipnTK: National Information Platforms for Nutrition Anthropometric Data Toolkit

An implementation of the National Information Platforms for Nutrition or NiPN's analytic methods for assessing quality of anthropometric datasets that include measurements of weight, height or length, middle upper arm circumference, sex and age. The focus is on anthropometric status but many of the presented methods could be applied to other variables.

Authors:Mark Myatt [aut], Ernest Guevarra [aut, cre]

nipnTK_0.2.2.9000.tar.gz
nipnTK_0.2.2.9000.zip(r-4.7)nipnTK_0.2.2.9000.zip(r-4.6)nipnTK_0.2.2.9000.zip(r-4.5)
nipnTK_0.2.2.9000.tgz(r-4.6-any)nipnTK_0.2.2.9000.tgz(r-4.5-any)
nipnTK_0.2.2.9000.tar.gz(r-4.7-any)nipnTK_0.2.2.9000.tar.gz(r-4.6-any)
nipnTK_0.2.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
nipnTK/json (API)

# Install 'nipnTK' in R:

install.packages('nipnTK', repos = c('https://nutriverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nutriverse/nipntk/issues

Pkgdown/docs site:https://nutriverse.io

Datasets:

ah.ex01 - Example dataset for age heaping function
as.ex01 - Example dataset for age and sex distributions function
as.ex02 - Example dataset for age and sex distributions function
dist.ex01 - Example dataset for distributions of variables and indices
dp.ex01 - Example dataset for digit preference function
dp.ex02 - Example dataset for digit preference function
dp.ex03 - Example dataset for digit preference
flag.ex01 - Example dataset for identifying outliers using flags
flag.ex02 - Example dataset for identifying outliers using flags
flag.ex03 - Example dataset for identifying outliers using flags
rl.ex01 - Example dataset for checking ranges and legal values
sp.ex01 - Example dataset for using scatterplots to identify outliers
sp.ex02 - Example dataset for using scatterplots to identify outliers

On CRAN:

anthropometry data-quality nipn nutrition

4.81 score 5 stars 26 scripts 429 downloads 15 exports 1 dependencies

Last updated from:742b86c468. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	242
source / vignettes	OK	187
linux-release-x86_64	OK	200
macos-release-arm64	OK	136
macos-oldrel-arm64	OK	140
windows-devel	OK	286
windows-release	OK	275
windows-oldrel	OK	265
wasm-release	OK	163

Exports:ageChildren ageHeaping ageRatioTest boxText digitPreference fullTable greensIndex histNormal national.SMART outliersMD outliersUV pyramid.plot qqNormalPlot sexRatioTest skewKurt

Dependencies:withr

The NiPN data quality toolkit

Introduction

Rendered fromnipnTK.Rmdusingknitr::rmarkdown

Last update: 2020-04-10
Started: 2020-04-10

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Goodness of fit to an expected model-based age distribution	ageChildren
Age-heaping analysis	ageHeaping
Age ratio test	ageRatioTest
Example dataset for age heaping function	ah.ex01
Example dataset for age and sex distributions function	as.ex01
Example dataset for age and sex distributions function	as.ex02
Plot text in a coloured bounding box.	boxText
Digit preference test	digitPreference
Example dataset for distributions of variables and indices	dist.ex01
Example dataset for digit preference function	dp.ex01
Example dataset for digit preference function	dp.ex02
Example dataset for digit preference	dp.ex03
Example dataset for identifying outliers using flags	flag.ex01
Example dataset for identifying outliers using flags	flag.ex02
Example dataset for identifying outliers using flags	flag.ex03
Fill out a one-dimensional table to include a specified range of values	fullTable
Green's Index of Dispersion	greensIndex
Histogram with normal curve superimposed to help with “by-eye” assessments of normality of distribution	histNormal
Add SMART flags to a stratified sample survey (e.g. MICS, DHS, national SMART)	national.SMART
Mahalanobis distance to detect bivariate outliers	outliersMD
IQR to detect univariate outliers	outliersUV
Plot helper function for 'ageChildren()' function	plot.ageChildren
'plot()' helper functions for 'ageHeaping()' functions	plot.ageHeaping
'plot()' helper function for 'digitPreference()' function	plot.digitPreference
'print()' helper function for 'ageChildren()' function	print.ageChildren
'print()' helper functions for 'ageHeaping()' functions	print.ageHeaping
'print()' helper function for 'ageRatioTest()' function	print.ageRatioTest
'print()' helper function for 'digitPreference()' function	print.digitPreference
'print()' helper function for 'print.greensIndex()' function	print.greensIndex
'print()' helper function for 'sexRatioTest()' function	print.sexRatioTest
'print()' helper function for 'skewKurt()' function	print.skewKurt
Pyramid plot function for creating population pyramids.	pyramid.plot
Normal quantile-quantile plot	qqNormalPlot
Example dataset for checking ranges and legal values	rl.ex01
Sex Ratio Test	sexRatioTest
Skew and kurtosis	skewKurt
Example dataset for using scatterplots to identify outliers	sp.ex01
Example dataset for using scatterplots to identify outliers	sp.ex02