Generate Multivariate Random Data in R (Example) | Simulate Variables | mvrnorm() Function of MASS скачать в хорошем качестве

Generate Multivariate Random Data in R (Example) | Simulate Variables | mvrnorm() Function of MASS

How to simulate multivariate random variables in the R programming language. More details: https://statisticsglobe.com/generate-... R code of this video: set.seed(354627) # Set random seed x1 ＜- rnorm(1000) # Create random data x2 ＜- rpois(1000, 2) + 0.5 * x1 x3 ＜- runif(1000) + 0.2 * x1 - 0.7 * x2 data1 ＜- data.frame(x1, x2, x3) head(data1) # Head of random data cor(data1) # Correlation matrix of random data install.packages("MASS") # Install MASS package library("MASS") # Load MASS package data2 ＜- mvrnorm(n = 1000, # Create random data mu = c(0.5, 0, 10), Sigma = matrix(c(1, 0.2, 0.3, 0.2, 1, 0.6, 0.3, 0.6, 1), nrow = 3)) head(data2) # Head of random data cor(data2) # Correlation matrix of random data Follow me on Social Media: Facebook – Statistics Globe Page:   / statisticsglobecom   Facebook – Group for Discussions & Questions:   / statisticsglobe   LinkedIn – Statistics Globe Page:   / statisticsglobe   LinkedIn – Group for Discussions & Questions:   / 12555223   Twitter:   / joachimschork   Music by bensound.com