Package index

Declaring derivations

Functions that define Nix derivations that run R or Python code, or compile Quarto or R Markdown documents.

rxp_jl()

Create a Nix expression running a Julia function

rxp_jl_file()

Creates a Nix expression that reads in a file (or folder of data) using Julia.

rxp_py()

Create a Nix expression running a Python function

rxp_py_file()

Creates a Nix expression that reads in a file (or folder of data) using Python.

rxp_qmd()

Render a Quarto document as a Nix derivation

rxp_r()

Create a Nix expression running an R function

rxp_r_file()

Creates a Nix expression that reads in a file (or folder of data) using R.

rxp_rmd()

Render an R Markdown document as a Nix derivation

Building the pipeline

Functions to generate and build the Nix pipeline

rxp_make()

Build pipeline using Nix

rxp_populate()

Generate Nix Pipeline Code

Project utilities

Functions for initializing projects, copying outputs, reading derivations, and inspecting build artifacts.

print(<rxp_derivation>)

Print method for derivation objects

rxp_copy()

Copy derivations from the Nix store to current working directory

rxp_gc()

Garbage Collect Rixpress Build Artifacts and Logs

rxp_init()

Initialize rixpress project

rxp_inspect()

Inspect the build result of a pipeline.

rxp_list_logs()

List all available build logs

rxp_load()

Load output of a derivation

rxp_read()

Read output of a derivation

rxp_trace()

Trace lineage of derivations

Archive import/export

Functions for importing and exporting Nix store paths using archive files.

rxp_export_artifacts()

Export Nix store paths to an archive

rxp_import_artifacts()

Import Nix store paths from an archive

DAG and CI tools

Tools for generating DAGs and preparing pipelines for rendering or deployment in CI environments.

rxp_dag_for_ci()

Export DAG of pipeline and prepare it for rendering on CI

rxp_ga()

Run a pipeline on GitHub Actions

rxp_write_dag()

Generate a DAG from a list of derivations

R ↔︎ Python interop

Functions to move data and objects between R and Python runtimes.

rxp_py2r()

Transfer Python object into an R session.

rxp_r2py()

Transfer R object into a Python session.

Visualization

Functions for visualizing pipeline DAGs using different backends.

rxp_ggdag()

Create a Directed Acyclic Graph (DAG) representing the pipeline using ggplot2

rxp_visnetwork()

Create a Directed Acyclic Graph (DAG) representing the pipeline using visNetwork

Python import manipulation

Utilities to adjust Python import statements to match project or environment conventions.

add_import()

Add an import statement to Python files in the _rixpress folder matching a Nix environment name

adjust_import()

Adjust Python import statements