uid

The goal of uid is to streamline the processing of temperature data exported from UID devices. It provides functions for cleaning, outlier detection, downsampling, and diagnostic plotting, assuming a structured directory layout for raw and processed data.

Installation

You can install the development version of uid like so:

devtools::install_github("matiasandina/uid")

Directory Structure

The package assumes the following directory layout:

temperature/
├── raw_data/   # Place raw UID .CSV files here
└── data/       # Cleaned, downsampled outputs will be written here

Example

library(uid)

# Process all raw UID CSVs from a directory
process_all_uid_files(
  raw_export_dir = "temperature/raw_data",
  output_dir = "temperature/data"
)

This will:

• Group files by shared base name (e.g. handling _1_of_n format)
• Remove temperature outliers
• Downsample by 1-minute intervals (by default)
• Save cleaned data and diagnostic plots

---

You can also use lower-level functions for more custom workflows:

df <- read_raw_uid_csv("path/to/file.csv")
df_flagged <- flag_temperature_outliers(df, threshold = 1)
df_clean <- df_flagged |> dplyr::filter(!outlier_global)
df_downsampled <- downsample_temperature(df_clean)

Roadmap

Planned features include:

Activity calculation from raw signal Interpolation of gaps Detection & Duration analysis for threshold crossing events - [ ] Example Data & Tests - [ ] Docs - [ ] Package Logo :)