SPM1D Analyzer v2.83

An application for One-Dimensional Statistical Parametric Mapping (SPM1D) analysis. For the statistical analysis of continuous curve data. No programming skills required! Supports both Chinese and English!

Features

• 📁 Data Import: Supports CSV/XLSX formats with automatic folder structure recognition for indicators and groups. Detects uneven data and recommends interpolation
• 📊 Data Preprocessing (Optional): Data interpolation and denoising
• 📈 Normality Test: Implements D'Agostino-Pearson K² test from spm1d
• 🔬 Multiple Analyses: Supports t-tests (one-sample, paired, independent), ANOVA (one-way, one-way repeated measures, two-way, two-way repeated measures, two-way mixed design), and simple regression
• 🌐 Bilingual Interface: Supports English and Simplified Chinese switching
• 📊 Visualization: Mean curves, SPM statistical curves, normality test plots, post-hoc test plots
• 💾 Export: One-click export to complete Excel reports
• 🚀 Standalone: Supports Windows (.exe) standalone packaging

Quick Start

Option 1: Run Standalone (No Python required)

• Windows: Download SPM1D分析软件.exe, Double-click to run

Option 2: Run from Source (Lightweight)

# Clone or download this project
git clone https://github.com/shanshanfagu/SPM1D-Analysis-Wrapper-Program

# Install dependencies
pip install -r requirements.txt

# Run the program
python "SPM1D Analyzer v2.83.py"

Workflow

Data Import → Data Preprocessing (Optional) → Normality Test → Parameters → Run Analysis → Post-hoc Test → View Charts → Export Data

Data Import

Supports Excel (.xlsx) and CSV formats:

• Single file: Contains data for all groups
• Multiple files: Organized by folders/worksheets
• Automatically detects uneven data (different sample time point counts)

Data Preprocessing (Optional)

• Data interpolation (interpolate samples to target number of time points)
• Data denoising (low-pass, high-pass, band-pass filtering)
• Files are renamed after preprocessing to indicate applied operations

Normality Test

• Automatically performs D'Agostino K² test
• Displays test results for each group
• Option to choose parametric/non-parametric methods

Parameter Settings

Analysis Type	Description
One-sample t-test	Compare with standard curve
Two-sample t-test	Compare two independent or paired samples
One-way ANOVA	Compare multiple groups
One-way Repeated Measures ANOVA	Compare multiple conditions with same subjects
Two-way ANOVA	Two-factor independent groups analysis
Two-way Repeated Measures ANOVA	Two-factor analysis with same subjects across all conditions
Two-way Mixed Design ANOVA	One between-subjects factor and one within-subjects factor
Simple Regression	Single variable trend analysis (non-parametric regression limited to ≤150 samples; use parametric method beyond that)

Data Export

One-click export to complete Excel report (.xlsx)

Sheet	Content
Summary	Analysis parameter summary
Main Effect Results	SPM curve values
Normality Results	K² curve values
Post-hoc Results	Pairwise comparison curves

Data Format Requirements

Excel File Format

Sample\Time Point	T1	T2	T3	T4	...
Subject1	1.2	1.3	1.4	1.5	...
Subject2	1.1	1.2	1.3	1.4	...
Subject3	1.3	1.4	1.5	1.6	...

• Each column represents a time point
• Each row represents a sample
• Values must be numeric
• Samples within a file can have different time point counts (uneven data). The software detects this and recommends interpolation
• The software reads data starting from the first column and the second row. The first row can be used for custom column labels

Dependencies

• PyQt5>=5.15.0
• spm1d>=0.4.3
• numpy>=1.20
• pandas>=1.3
• matplotlib>=3.5
• scipy>=1.7
• openpyxl>=3.0

Tech Stack

Python + PyQt5 + SPM1D + NumPy + SciPy + Pandas + Matplotlib

License

GPL-3.0 License

References

• spm1d Project
• spm1d Documentation