For Researchers & Academia

Statistical Analysis for Researchers.
Citable. Reproducible. R Code Included.

Every report includes the 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

Open-Source

R Statistical Packages

Same input

Same output

APA + BibTeX

Citation Formats

PDF Export

Report Export

Why Researchers Choose MCP Analytics

Built for academic rigor

Every report is designed to show its method for 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

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 implementations
Not simplified versions
Assumption diagnostics included
Effect sizes and confidence intervals

Research Methods Library

Methods used in academic research

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.

Interactive Visualizations

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

AI Interpretation

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

R Code Block

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

Methodology Description

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

Citation Block

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

Use Cases

How researchers use MCP Analytics

From thesis defense to peer review response.

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

See the pricing page for current plans.

View pricing

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.

Where can I find pricing?

See the pricing page for current plans. You can also start with the free CSV analyzer to try the platform.

Can I use this for my thesis?

Yes. 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.

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Statistical Analysis for Researchers.Citable. Reproducible. R Code Included.