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Post a reply: New version of R package 'zscorer' available

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Ernest and I have been working on the zscorer package for the R Language for Data Analysis and Graphics. v0.3.1 of the zscorer package calculates and adds nutritional anthropometry z-scores to survey data:

  • Weight-for-length (wfl) z-scores for children with lengths between 45 and 110 cm
  • Weight-for-height (wfh) z-scores for children with heights between 65 and 120 cm
  • Length-for-age (lfa) z-scores for children aged less than 24 months
  • Height-for-age (hfa) z-scores for children aged between 24 and 228 months
  • Weight-for-age (wfa) z-scores for children aged between zero and 120 months
  • Body mass index-for-age (bfa) z-scores for children aged between zero and 228 months
  • MUAC-for-age (mfa) z-scores for children aged between 3 and 228 months
  • Triceps skinfold-for-age (tsa) z-scores for children aged between 3 and 60 months
  • Sub-scapular skinfold-for-age (ssa) z-scores for children aged between 3 and 60 months
  • Head circumference-for-age (hca) z-scores for children aged between zero and 60 months

The z-scores are calculated using the WHO Child Growth Standards for children aged between zero and 60 months or the WHO Growth References for school-aged children and adolescents.

New in this version is that MUAC-for-age (mfa) z-scores for children aged between 60 and 228 months are calculated using the new MUAC-for-age growth reference developed by Mramba et al. (2017) using data from the USA and Africa:

Mramba L, Ngari M, Mwangome M, Muchai L, Bauni E, Walker AS, et al. A growth reference for mid upper arm circumference for age among school age children and adolescents, and validation for mortality: growth curve construction and longitudinal cohort study. BMJ. 2017

This reference has been validated with African school-age children and adolescents.

The zscorer comes packaged with the WHO Growth References data and the new MUAC-for-age reference data.

The package contains a Shiny app that provides a web interface to the package's functions. You can see an example of this functionality here.

The package can be downloaded and installed in R in the usual manner. The package website is here.

A manual is inlcuded in the package and is available here.

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