Package: nipnTK 0.2.0.9000

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]

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nipnTK/json (API)
NEWS

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

Peer review:

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

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:

anthropometrydata-qualitynipnnutrition

5.45 score 5 stars 28 scripts 186 downloads 15 exports 1 dependencies

Last updated 8 days agofrom:f83b55313a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winOKOct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:ageChildrenageHeapingageRatioTestboxTextdigitPreferencefullTablegreensIndexhistNormalnational.SMARToutliersMDoutliersUVpyramid.plotqqNormalPlotsexRatioTestskewKurt

Dependencies:withr

The NiPN data quality toolkit

Rendered fromnipnTK.Rmdusingknitr::rmarkdownon Oct 29 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Goodness of fit to an expected model-based age distributionageChildren
Age-heaping analysisageHeaping
Age ratio testageRatioTest
Example dataset for age heaping functionah.ex01
Example dataset for age and sex distributions functionas.ex01
Example dataset for age and sex distributions functionas.ex02
Plot text in a coloured bounding box.boxText
Digit preference testdigitPreference
Example dataset for distributions of variables and indicesdist.ex01
Example dataset for digit preference functiondp.ex01
Example dataset for digit preference functiondp.ex02
Example dataset for digit preferencedp.ex03
Example dataset for identifying outliers using flagsflag.ex01
Example dataset for identifying outliers using flagsflag.ex02
Example dataset for identifying outliers using flagsflag.ex03
Fill out a one-dimensional table to include a specified range of valuesfullTable
Green's Index of DispersiongreensIndex
Histogram with normal curve superimposed to help with “by-eye” assessments of normality of distributionhistNormal
Add SMART flags to a stratified sample survey (e.g. MICS, DHS, national SMART)national.SMART
Mahalanobis distance to detect bivariate outliersoutliersMD
IQR to detect univariate outliersoutliersUV
Plot helper function for 'ageChildren()' functionplot.ageChildren
'plot()' helper functions for 'ageHeaping()' functionsplot.ageHeaping
'plot()' helper function for 'digitPreference()' functionplot.digitPreference
'print()' helper function for 'ageChildren()' functionprint.ageChildren
'print()' helper functions for 'ageHeaping()' functionsprint.ageHeaping
'print()' helper function for 'ageRatioTest()' functionprint.ageRatioTest
'print()' helper function for 'digitPreference()' functionprint.digitPreference
'print()' helper function for 'print.greensIndex()' functionprint.greensIndex
'print()' helper function for 'sexRatioTest()' functionprint.sexRatioTest
'print()' helper function for 'skewKurt()' functionprint.skewKurt
Pyramid plot function for creating population pyramids.pyramid.plot
Normal quantile-quantile plotqqNormalPlot
Example dataset for checking ranges and legal valuesrl.ex01
Sex Ratio TestsexRatioTest
Skew and kurtosisskewKurt
Example dataset for using scatterplots to identify outlierssp.ex01
Example dataset for using scatterplots to identify outlierssp.ex02