Create Smaller Structure Based on Larger Structure Indices
조회 수: 2 (최근 30일)
이전 댓글 표시
I have a large dataset with many fields all correlated by time(each row is correlated). I'd like to separate individual datasets based off known times (indices).
Let's say I have CoreData as the structure, and time, counts, direction as fields, each a 2000x1 double of random numbers:
CoreData.time, CoreData.counts, CoreData.direction, etc.
I know that, since my data is correlated row-by-row, the first dataset is comprised of the rows 5-50 in CoreData, with identical fields.
Ideally, I'd like something like:
FirstDataset(all fields, rows 5-50)=CoreData(all fields, rows 5-50);
Is there an elegant solution? Right now I have all my datasets created with empty arrays, but I'd rather not brute force a for loop with each individual field specified in eval statements.
댓글 수: 0
답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Structures에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!