This page is running a macro package for R hosted on a Shiny server. For weight, length, and body mass index, it calculates Z-scores and percentiles by pooling the WHO standard (0-5y) and reference (5-19y) data. For more detailed output (e.g. biologically implausible value flags, head circumference, and skin fold thickness), you should use the original, age-specific WHO macros igrowup (0-5y) and who2007 (5-19y).
The sample.csv file shows the expected variable names and formats. Column order is immaterial, and additional columns are permitted. For assistance, please consult our step-by-step guide: Creating .csv spreadsheets . The identifier variable id must be unique for each observation. The LMS algorithm is based on exact age in months (agemons). The variable sex may be coded as M/F or m/f or 1/2 (1 = male); height is in cm, and weight is in kg. For 0-23 months, height refers to recumbent length (standing height + 0.7cm). For children ≥ 24 months, height refers to standing height (recumbent length - 0.7cm). Weight and BMI Z scores outside of the range [-3, 3] are calculated in units of SD23, the distance between Z=2 and Z=3 (or in the lower tail of the distribution, Z = -2 and Z = -3).
A spreadsheet with comma separated variables (.csv) may be created using the 'Save As' .csv option in Excel and uploaded using the sidebar on the left. Once results are displayed, download them by clicking the <Download> button, which will typically save them to your Download folder with 'out_' prepended to the original dataset name.