So for this talk we are going to go through several simple data analysis examples (e.g. t-test) from start to finish. This means for, e.g., a t-test we’ll want to first import the data, graph it to ...

Quantitative Example: Sensors and monitors collect data on pollution levels, showing past trends and the impact of specific pollutants. Qualitative Example: Residents' observations reveal how ...

Random factor analysis may also refer to a random effects model, which is used to decipher whether the outlying data is caused by an underlying trend or just simply random occurring events and ...

Optimization Tips: Use data.table for faster data manipulation. Profile code with profvis to identify bottlenecks. Conclusion Combining R and Linux creates a powerful environment for statistical ...

Researchers at China Pharmaceutical University have developed GseaVis, a user-friendly R package that significantly enhances ...

Longitudinal panel data examples are used to illustrate estimation methods for individual growth curve models. These examples constitute one of the basic multilevel analysis settings, and they are ...

For example, modeling the state damaged/not damaged of cells after treated with a certain chemical; and modeling the number of insects caught by a certain kind of trap. These types of situations can ...

Quantitative analysis can be a powerful tool, especially in modern markets where data is abundant and computational tools are advanced, enabling a more precise examination of the financial ...