Troubleshooting

Catalyst Analytics R: Troubleshooting and Recovery

Diagnose and recover common Catalyst Analytics R failures without losing state.

ProductCatalyst Analytics RVerified version1.2.0ComponentAccounting, Browser Demo Parity, Canonical JSON Export, Comparison, Data Intake, Dataset Validation, Derived Indicators, Indicator Registry, Package Validation, Reproducible Reports, Sensitivity, Snapshots, Source Metadata, Stress Testing, Uncertainty, WorkspacesUpdatedJuly 17, 2026Reading time18 minutes
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Catalyst Analytics R · Troubleshooting

Reproducible R data intake, metadata, validation, indicators, comparison, uncertainty, sensitivity, stress, accounting, workspaces, snapshots, reports, and export.

Audience: product users, administrators, reviewers, and integrators.

Last verified version: 1.2.0

Reading time: 18–30 minutes

Status: Published support documentation.

Purpose

This guide uses an evidence-first diagnostic sequence for Catalyst Analytics R. Preserve state before changing configuration. Determine whether the failure comes from input data, permissions, version identity, browser assets, backend health, schema compatibility, external dependencies, or a product defect.

Prerequisites

  • Exact error message and time
  • Product, backend, package, and schema versions
  • Affected route, feature, record ID, and user role
  • A safe backup or export
  • The synthetic sample for a reference test

Sample data

This article uses a fictional Resilient Community Retrofit Program. The files contain one demonstration row for every documented feature, so each capability can be tested without private or production data.

Download CSV feature examples · Download JSON workspace example

Preview

# Feature Sample action Expected result Classification
1 Data Intake read the feature-example CSV or JSON a governed R data object synthetic-demo
2 Source Metadata attach publisher, URL, license, citation, retrieval, field, and unit metadata a source-aware dataset synthetic-demo
3 Dataset Validation check required fields, types, missingness, units, and duplicates a validation report synthetic-demo
4 Indicator Registry register annual energy savings a reusable indicator definition synthetic-demo
5 Derived Indicators calculate baseline minus retrofit kWh derived values with method metadata synthetic-demo

The downloadable files include all 16 feature rows.

Procedure

  1. Stop repeated imports, submissions, migrations, or destructive retries.
  2. Record URL, feature, action, role, versions, browser/runtime, and expected result.
  3. Run the same feature row in a new synthetic workspace.
  4. If the sample fails, inspect health, logs, browser console, network response, and validation details.
  5. If the sample succeeds, compare real input schema, units, permissions, size, source, and status with the sample.
  6. Check version and schema identity before clearing caches or reinstalling.
  7. Apply the smallest reversible change.
  8. Repeat the sample and real workflow, then document the result.

Common problems

Symptom Likely cause Safe response
Package not found package is absent from the active library install reviewed source and confirm .libPaths()
Snapshot fingerprint mismatch volatile or unordered state changed canonicalize serialization and exclude runtime-only fields
Validation error metadata, type, or unit is missing complete metadata or correct schema
Browser result differs demo is conceptual rather than numerically identical use the R package for reproducible analysis

Escalation package

  • Product and version
  • Feature and component
  • Exact error text
  • Reproduction steps using synthetic data
  • Expected and actual result
  • Redacted log excerpt without secrets or personal data
  • Whether a clean sample reproduces the problem

Expected output

  • A reproducible diagnosis or bounded unresolved issue
  • Preserved user and system state
  • A documented workaround when available
  • A support-ready issue summary without private data

Verification

  • The synthetic feature succeeds after the fix.
  • The original workflow succeeds or remains safely isolated.
  • Version and health identity are consistent.
  • No duplicates, stale locks, or unintended cache artifacts remain.
  • The resolution is reflected in a support article, known issue, or release record when appropriate.

Responsible use

Statistical output requires method competence, source review, uncertainty communication, and domain interpretation; it is not automatic causal proof.

Never place credentials, API keys, private URLs, personal records, client documents, or confidential logs in a public article or issue.

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