For Researchers & Academia

Publication-Ready Analysis.
R Code and Citations Included.

Every report includes the validated R script, a complete methodology description, assumption checks, and citation-ready references. Reviewers can verify. Colleagues can reproduce.

Try Free — No Signup See the R Code Output
ANOVA ANCOVA ICC Cox PH Mann-Whitney Kruskal-Wallis Mixed Effects PCA Survival Holm-Bonferroni
Peer-Reviewed
R Statistical Packages
100%
Reproducible
APA + BibTeX
Citation Formats
PDF Export
Publication Ready
Why Researchers Choose MCP Analytics

Built for academic rigor

Every report is designed to meet the standards of peer review, not just run a test.

Citable Methodology

Every report includes everything a reviewer needs:

  • R packages and versions used
  • Statistical test and its assumptions
  • Which assumptions were checked and how
  • Plain-English methodology for your Methods section
  • APA and BibTeX citation format

Reproducibility Statement

Every report comes with a reproducibility guarantee: running the same data through the same module produces identical results. The R code is provided — reviewers can run it independently.

  • Same input, same output — every time
  • Complete R script included
  • Package versions pinned
  • Reviewers can verify independently

Research-Grade Methods

ICC for inter-rater reliability. ANCOVA for treatment effects with covariates. Cox proportional hazards for survival analysis. Holm-Bonferroni for multiple comparison correction.

  • Full validated implementations
  • Not simplified versions
  • Assumption diagnostics included
  • Effect sizes and confidence intervals
Research Methods Library

Validated methods for every research design

From reliability studies to survival analysis — the statistical methods academic research actually uses.

Reliability & Agreement

Inter-Rater & Measurement Reliability

ICC Inter-rater Reliability Cronbach's Alpha
Treatment Effects

Causal & Quasi-Experimental Methods

ANCOVA Difference-in-Differences Propensity Score Matching
Survival Analysis

Time-to-Event Modeling

Cox Proportional Hazards Kaplan-Meier Log-Rank Test
Hypothesis Testing

Parametric & Non-Parametric Tests

ANOVA t-test Mann-Whitney Kruskal-Wallis Chi-Square
Multiple Comparisons

Family-Wise Error Rate Control

Holm-Bonferroni Bonferroni Correction Tukey HSD
Multivariate

Dimensionality Reduction & Clustering

PCA Factor Analysis K-Means DBSCAN
Regression

Linear & Regularized Models

Linear Logistic Ridge Lasso Elastic Net
Time Series

Temporal & Longitudinal Analysis

ARIMA Trend Analysis Decomposition
What's in Every Report

Five components, every time

Every report follows the same structure — designed for transparency, reproducibility, and direct use in academic papers.

1

Interactive Visualizations

Plotly charts: hover for values, zoom, pan. Not static images — real interactive data exploration.

2

AI Interpretation

Plain-English explanation of what the results mean, significance levels, and effect sizes.

3

R Code Block

The exact script, copy-to-clipboard, with package versions. Run it yourself to verify.

4

Methodology Description

Test name, assumptions, what it proves, limitations. Ready for your Methods section.

5

Citation Block

APA and BibTeX format, ready to paste into your paper or .bib file.

Comparison

MCP Analytics vs SPSS vs Manual R

Same validated statistics. Different experience getting there.

MCP Analytics SPSS Manual R
Cost From $1.30/report $99/mo Free (your time)
Setup time 0 — upload CSV Install + learn UI Write code
Reproducible Same result every run Menu-dependent Code-dependent
R code provided Yes, every report No You write it
AI insights Automatic No No
Citation format Auto-generated No You format it
Interactive charts Yes (Plotly) Static You build them
Publication PDF One-click Manual export Manual formatting
Use Cases

How researchers use MCP Analytics

From thesis defense to peer review response — these are the workflows we see most.

Thesis & Dissertation

Run your analysis, get the R code, paste the methodology into your Methods section. Your advisor can verify the exact script that produced your results.

ancova anova icc regression pca

Multi-Study Meta-Analysis

Run ICC, ANOVA, and regression across multiple datasets. Search semantically across all past analyses to find related findings.

icc holm_bonferroni correlation pca

Grant Proposals

Include reproducible preliminary results with full methodology. The PDF export is formatted for appendices.

cox_ph ancova arima ridge

Peer Review Response

Reviewer asks "what test did you use?" — send them the R code, the methodology description, and the reproducibility statement.

r_code methodology citations pdf_export
Pricing for Researchers

Academic pricing, no expiration

Reports never expire. Run them when you need them, cite them months later.

Academic Bundles

Pay-per-report

$19 for 10 reports
$29 for 20 · $39 for 30
  • Sonnet AI interpretation
  • All research modules
  • R code export
  • API access
  • Reports never expire
View Academic Plans
Academic Pro

Unlimited for labs

$199/month
200 reports included
  • Best for labs and research groups
  • Sonnet AI interpretation
  • Priority processing
  • All modules and connectors
  • Cancel anytime
View Subscriptions
FAQ

Common questions from researchers

What citation format is provided?
Every report includes citations in both APA 7th edition and BibTeX formats. The citation references the specific R packages and versions used, the statistical method applied, and the MCP Analytics platform. You can copy-paste directly into your paper or .bib file.
Can I reproduce the results independently?
Yes. Every report includes the complete R script that produced the results. You can run this script in any R environment (RStudio, command line, etc.) with the same data and get identical output. The script lists all required packages and versions.
What R packages are used?
Each module uses peer-reviewed CRAN packages appropriate to the method. Examples: irr for ICC, car for ANCOVA, survival for Cox PH, stats for t-tests and ANOVA, glmnet for regularized regression, and plotly for visualizations. The exact packages and versions are listed in every report.
Is there a student discount?
Academic bundles are already discounted compared to business pricing. 10 reports for $19, 20 for $29, or 30 for $39 — reports never expire. You can also start with the free CSV analyzer to try the platform before purchasing.
Can I use this for my thesis?
Absolutely. The methodology descriptions are written for Methods sections. The R code provides full transparency for advisors and reviewers. The citation format lets you reference the tool properly. Many graduate students use MCP Analytics to run and document their thesis analysis.

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Upload your CSV, describe your analysis, get a publication-ready report with R code and citations.

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