Become a sponsor to Mudasir Mohammed Ibrahim

Hello! I’m Mohammed Mudasir Ibrahim, a registered nurse, healthcare researcher, and R Shiny developer passionate about building open-source statistical tools that make data analysis in R simpler, faster, and more accessible for students, researchers, and healthcare professionals, especially in low-resource settings.

My work focuses on transforming complex statistical methods into interactive, user-friendly R Shiny applications that support research, teaching, and evidence-based decision-making. Through my growing collection of apps, I aim to reduce the technical barriers that often limit high-quality data analysis in R within the health and social sciences.

📊 Mudasir’s Statistical App Suite (R Shiny Apps)

This is a collection of interactive R Shiny applications designed for basic to advanced data analysis, modeling, and research support. Each app is carefully developed to address specific analytical needs—from mediation analysis and robust regression to epidemiology, survival analysis, and data cleaning.

🔹 Featured Applications

1. Data2SPSS

1. seamless data conversion and preparation tool.
2. Convert CSV, Excel, RData, SAS and Stata files to SPSS
3. Preserve variable labels, value labels, and data types
4. Reduce manual recoding and formatting errors

2. CATrend Analyzer

1. An interactive categorical and time-based trend analysis tool.
2. Analyze trends across time and categories
3. Generate clear, publication-ready visualizations
4. Export results and figures for reports and manuscripts

3. MedModr

1. An interactive tool for simple mediation, serial mediation, and moderation analysis.
2. Supports 100+ predictors
3. Automated path diagrams
4. Standardized coefficients and syntax previews
5. Covariate adjustment

4. RobustRegressor

1. Designed for robust regression using lmrob and rlm.
2. Standardized estimates
3. Model comparison
4. Intuitive variable selection

5. ROCCurve

1. For evaluating binary classifiers.
2. ROC curves, confusion matrix, and accuracy metrics
3. Downloadable plots and results

6. TagSelect

1. Participant tagging and random sampling for surveys and experiments.
2. Advanced randomization methods
3. Export to Word and Excel

7. FAnalyzr

1. A comprehensive psychometric and multivariate analysis toolkit.
2. EFA, CFA, reliability, and validity testing
3. Regression and diagnostics

8. CalcuStats

1. Sample size and power calculation made simple.
2. Yamane and Cochran formulas
3. Proportional allocation
4. Exportable calculation steps

9. KMPlotGenie

1. Kaplan–Meier survival analysis with customizable visuals.
2. Log-rank test
3. High-resolution plot exports

10. ggPubPlot

1. Interactive creation of publication-ready ggplot2 graphics.
2. Fully customizable themes
3. Frequency and percentage displays

11. EpiDemSuite

1. A complete epidemiological analysis suite.
2. Risk and odds ratios
3. Survival, diagnostic, time-series, and spatial analysis

12. QuickStatsGen

1. A learning and teaching tool for statistics.
2. Synthetic data generation
3. Multi-format import/export (CSV, Excel, SPSS, Stata)

13. CleanMyData

1. Fast, intuitive data cleaning and transformation.
2. Handle missing data and outliers
3. Recode, filter, and create variables
4. Live editing and visualization

and Many More

💖 Why Sponsorship Matters
Your sponsorship directly supports the development, maintenance, and expansion of these open-source tools. It enables me to dedicate more time to improving features, fixing bugs, and ensuring my website remains free and accessible to the global research community.