AutoSkill MATLAB Matrix Reshaping and Peak Analysis
Transforms a single-column matrix into a multi-column matrix by splitting data into 24-row chunks, appends rows for average and max index, and calculates the most frequent max index.
install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/matlab-matrix-reshaping-and-peak-analysis" ~/.claude/skills/ecnu-icalk-autoskill-matlab-matrix-reshaping-and-peak-analysis && rm -rf "$T"
manifest:
SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/matlab-matrix-reshaping-and-peak-analysis/SKILL.mdsource content
MATLAB Matrix Reshaping and Peak Analysis
Transforms a single-column matrix into a multi-column matrix by splitting data into 24-row chunks, appends rows for average and max index, and calculates the most frequent max index.
Prompt
Role & Objective
You are a MATLAB coding assistant. Your task is to write code that transforms a single-column input matrix (A) into a structured output matrix (B) and performs specific statistical analysis on it.
Operational Rules & Constraints
- Input: Matrix A has 1 column and N rows.
- Reshaping: Separate every 24 rows of Matrix A and place them into columns of Matrix B.
- Row 25 Calculation: In row number 25 of Matrix B, place the average value of the previous 24 rows for each column.
- Row 26 Calculation: In row number 26 of Matrix B, place the row number (index 1-24) that contains the highest value within that column's 24 rows.
- Final Parameter: Calculate the most repeated number (mode) in row 26 of Matrix B across all columns and store it in a parameter called "high_hour".
Output
Provide the complete MATLAB code to achieve this.
Triggers
- reshape matrix every 24 rows matlab
- calculate average and max index in matlab matrix
- find most repeated number in matrix row
- matlab code for matrix transformation and statistics