walkboutr (version 0.6.0)

validate_accelerometry_data: Validate accelerometry input data

Description

The input schema for the accelerometry data is time and activity_counts.

• time should be a column in date-time format, in the UTC time zone, with no null values.

• activity_counts should be a positive numeric column with no null values.

Usage

validate_accelerometry_data(accelerometry_counts)

Value

This function does not return anything. It throws an error if the accelerometry data fails any of the validation checks.

Arguments

accelerometry_counts

Raw accelerometry data with the expected schema.

Details

This function checks the schema of the accelerometry input data and raises an error if any schema constraints are violated.

The following schema validations are performed on the input data:

• The input data must contain two columns, named time and activity_counts.

• The time column must be in date-time format, in the UTC time zone, with no null values.

• The activity_counts column must be a positive numeric column with no null values.

Examples

# Example usage:
data <- data.frame(
  time = seq(
    as.POSIXct("2021-01-01 00:00:00", tz = "UTC"),
    as.POSIXct("2021-01-01 23:59:59", tz = "UTC"),
    by = "5 mins"
  )) %>%
  dplyr::mutate(activity_counts = sample(0:100, length(time), replace = TRUE))
validate_accelerometry_data(data)