%0 Journal Article %1 noauthororeditor %A Turegun, Mehmet %D 2019 %J International Journal of Trend in Scientific Research and Development %K Cholesky Education Eigen R data decomposition matrix multivariate normal of random simulation variance-covariance %N 4 %P 1126-1132 %R https://doi.org/10.31142/ijtsrd23987 %T Simulating Multivariate Random Normal Data using Statistical Computing Platform R %U https://www.ijtsrd.com/humanities-and-the-arts/education/23987/simulating-multivariate-random-normal-data-using-statistical-computing-platform-r/mehmet-turegun %V 3 %X Many faculty members, as well as students, in the area of educational research methodology, sometimes have a need for generating data to use for simulation and computation purposes, demonstration of multivariate analysis techniques, or construction of student projects or assignments. As a great teaching tool, using simulated data helps us understand the intricacies of statistical concepts and techniques. The process of generating multivariate normal data is a nontrivial process and practical guides without dense mathematics are limited in the literature Nissen and Saft, 2014 . Hence, the purpose of this paper is to offer researchers a practical guide for and a quick access to generating multivariate random data with a given mean and variance covariance structure. A detailed outline of simulating multivariate normal data with a given mean and variance covariance matrix using Eigen or spectral and Cholesky decompositions is presented and implemented in statistical computing platform R version 3.4.4 R Core Team, 2018 . Mehmet Turegun ""Simulating Multivariate Random Normal Data using Statistical Computing Platform R"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23987.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/23987/simulating-multivariate-random-normal-data-using-statistical-computing-platform-r/mehmet-turegun

@article{noauthororeditor, abstract = {Many faculty members, as well as students, in the area of educational research methodology, sometimes have a need for generating data to use for simulation and computation purposes, demonstration of multivariate analysis techniques, or construction of student projects or assignments. As a great teaching tool, using simulated data helps us understand the intricacies of statistical concepts and techniques. The process of generating multivariate normal data is a nontrivial process and practical guides without dense mathematics are limited in the literature Nissen and Saft, 2014 . Hence, the purpose of this paper is to offer researchers a practical guide for and a quick access to generating multivariate random data with a given mean and variance covariance structure. A detailed outline of simulating multivariate normal data with a given mean and variance covariance matrix using Eigen or spectral and Cholesky decompositions is presented and implemented in statistical computing platform R version 3.4.4 R Core Team, 2018 . Mehmet Turegun ""Simulating Multivariate Random Normal Data using Statistical Computing Platform R"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23987.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/23987/simulating-multivariate-random-normal-data-using-statistical-computing-platform-r/mehmet-turegun }, added-at = {2019-07-06T13:12:17.000+0200}, author = {Turegun, Mehmet}, biburl = {https://www.bibsonomy.org/bibtex/25c953dcbef121af4c55df16d291da52e/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd23987}, interhash = {23e8b70f2fdebbacb10cd2ee32035977}, intrahash = {5c953dcbef121af4c55df16d291da52e}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Cholesky Education Eigen R data decomposition matrix multivariate normal of random simulation variance-covariance}, language = {English}, month = {june}, number = 4, pages = {1126-1132}, timestamp = {2019-07-06T13:12:17.000+0200}, title = {Simulating Multivariate Random Normal Data using Statistical Computing Platform R }, url = {https://www.ijtsrd.com/humanities-and-the-arts/education/23987/simulating-multivariate-random-normal-data-using-statistical-computing-platform-r/mehmet-turegun}, volume = 3, year = 2019 }