It´s R-script to improve aesthetic plotting of princals function of Gifi package.

Use SAS, R and STATA to analyse clustered data.

勉強用

March 2024

Quick Introduction to PCA from a mathematical approach

This research provides findings ironed out in aspects of social implications of COVID-19 in Italy where we observe the varying impact of measures on men and women as well as the education levels. Similarly to the Existing Literature (Quintiliani et al., 2022; Stampini et al., 2021), we conducted our work and found that there are substantial disparities in the attitudes of people towards the prioritization of economic activity or public health concerns in different demographics groups. In our findings, populations of females and low educational level tended to put public health over economy in compared to male and high educational level cases which denotes the importance of sociodemographic factors in shaping the attitudes toward the pandemic response (Quintiliani et al., 2022; Stampini et al., 2021). Additionally, our findings were in line with previous studies (Mariani et al., 2020; Druică et al., 2020), showing the complicated reflection of psychological factors and pandemic attitudes suggesting that the exploration of individual strategies and social support systems hold as strong elements in the understanding of reactions to crisis (Mariani et al., 2020; Druică et al., 2020).