@tdhock as I mentioned in our meeting yesterday, I have this topics and questions for my thesis. Could you assist me, kindly let me know what you think about either and which one is best suitable
TOPICS:
Comparative Benchmarking and Performance Testing of R packages using atime.
Performance Evaluation of R Packages for Data Analysis using atime
Development and Evaluation of a Comprehensive Benchmarking Framework for R Packages using atime
Comparative Study of Memory and Time Management in R Packages Using atime
QUESTIONS: I will be choose three out of these for my thesis
How do popular data manipulation packages (e.g., dplyr, data.table, pandas) perform in terms of execution time and memory usage?
What optimization techniques can be applied to improve performance, and how effective are they?
How do results from a time-based benchmarking inform package selection for data-intensive ta- How can atime be utilized to create a robust benchmarking framework for R packages?
What are the key performance metrics to consider when evaluating R package efficiency?
How does the proposed framework compare to existing benchmarking methods?
How do package dependencies affect the performance of R packages, and what are the implications for ecosystem-wide efficiency?
Can atime-based benchmarking identify bottlenecks and areas for optimization in package dependencies?
How can the findings inform package development and maintenance practices to improve overall R ecosystem performance?
@tdhock as I mentioned in our meeting yesterday, I have this topics and questions for my thesis. Could you assist me, kindly let me know what you think about either and which one is best suitable
TOPICS:
QUESTIONS: I will be choose three out of these for my thesis
You can also recommend something also.