National Information Platforms for Nutrition Anthropometric Data Toolkit
Add SMART flags to a stratified sample survey (e.g. MICS, DHS, nationa...
print() helper function for digitPreference() function
print() helper function for print.greensIndex() function
print() helper function for sexRatioTest() function
print() helper function for skewKurt() function
Pyramid plot function for creating population pyramids.
Normal quantile-quantile plot
Sex Ratio Test
Skew and kurtosis
Goodness of fit to an expected model-based age distribution
Age-heaping analysis
Age ratio test
Plot text in a coloured bounding box.
Digit preference test
Fill out a one-dimensional table to include a specified range of value...
Green's Index of Dispersion
Histogram with normal curve superimposed to help with “by-eye” assessm...
NiPN data quality toolkit
Mahalanobis distance to detect bivariate outliers
IQR to detect univariate outliers
Plot helper function for ageChildren() function
plot() helper functions for ageHeaping() functions
plot() helper function for digitPreference() function
print() helper function for ageChildren() function
print() helper functions for ageHeaping() functions
print() helper function for ageRatioTest() function
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.
Useful links