Digit preference is the observation that the final number in a measurement
occurs with a greater frequency that is expected by chance. This can occur
because of rounding, the practice of increasing or decreasing the value in a
measurement to the nearest whole or half unit, or because data are made up.
The digitPreference() function assesses the level by which digit
preference exists in a given dataset using a digit preference score (DPS).
digitPreference(x, digits = 1, values = 0:9)
| x | Numeric vector |
|---|---|
| digits | Number of decimal places in |
| values | A vector of possible values for the final digit (default = 0:9) |
A list of class "digitPreference" with:
| Variable | Description |
| dps | Digit Preference Score (DPS) |
| tab | Table of final digit counts |
| pct | Table of proportions (\%) of final digit counts |
DPS definition from:
Kari Kuulasmaa K, Hense HW, Tolonen H (for the WHO MONICA Project), Quality Assessment of Data on Blood Pressure in the WHO MONICA Project, WHO MONICA Project e-publications No. 9, WHO, Geneva, May 1998 available from https://www.thl.fi/publications/monica/bp/bpqa.htm
# Digit preference test applied to anthropometric data from a single state # from a DHS survey in a West African country svy <- dp.ex01 digitPreference(svy$wt, digits = 1)#> #> Digit Preference Score #> #> data: svy$wt #> Digit Preference Score (DPS) = 11.86 (Good) #>