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actiquantiles

actiquantiles maps physical activity values to NHANES-based quantiles. The package exposes an acti_-prefixed wrapper around mapnhanespa::map_nhanes_pa_quantiles() so the public API can stay stable while new mapping backends are added later.

Core entry points:

• acti_map_nhanes() for participant-level quantile mapping
• mapnhanespa::nhanes_pa_quantile() for a single value lookup
• mapnhanespa::nhanes_pa_age_category() for age binning

Installation

You can install actiquantiles from GitHub with:

# install.packages("remotes")
remotes::install_github("jhuwit/actiquantiles")

The package depends on mapnhanespa, which provides the NHANES mapping tables and lookup logic.

Quick Start

example_data <- data.frame(
  id = c("A", "B"),
  age = c(25, 62),
  sex = c("Female", "Male"),
  measure = c("mims", "ssl_steps"),
  value = c(15000, 7500)
)

mapped <- acti_map_nhanes(example_data)
mapped
#>   id age    sex   measure value acti_pa_quantile
#> 1  A  25 Female      mims 15000        0.5349443
#> 2  B  62   Male ssl_steps  7500        0.3527381

The wrapper keeps the input columns and adds acti_pa_quantile:

head(mapped)
#>   id age    sex   measure value acti_pa_quantile
#> 1  A  25 Female      mims 15000        0.5349443
#> 2  B  62   Male ssl_steps  7500        0.3527381

For a single value, use the scalar helper from mapnhanespa directly:

mapnhanespa::nhanes_pa_quantile(
  value = 15000,
  age = 25,
  sex = "Female",
  measure = "mims"
)
#> [1] 0.5349443

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.