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Скачать с ютуб Draw Normal, Left & Right Skewed Distributions (2 Examples) | ggplot2 Density Plot | tidyr Package в хорошем качестве

Draw Normal, Left & Right Skewed Distributions (2 Examples) | ggplot2 Density Plot | tidyr Package 2 года назад


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Draw Normal, Left & Right Skewed Distributions (2 Examples) | ggplot2 Density Plot | tidyr Package

How to plot normal, left, and right skewed densities in the R programming language. More details: https://statisticsglobe.com/draw-norm... R code of this video: set.seed(35486) # Create random distributions data <- data.frame(x1 = rbeta(1000, 10, 2), x2 = rbeta(1000, 5, 2), x3 = rnorm(1000), x4 = rbeta(1000, 2, 5), x5 = rbeta(1000, 2, 10)) plot(density(data$x1), col = 2, # Overlay all columns as densities xlim = c(- 3, 3), ylim = c(0, 5)) lines(density(data$x2), col = 3) lines(density(data$x3), col = 4) lines(density(data$x4), col = 5) lines(density(data$x5), col = 6) legend("topleft", # Add legend to plot legend = c("x1 = rbeta(1000, 10, 2)", "x2 = rbeta(1000, 5, 2)", "x3 = rnorm(1000)", "x4 = rbeta(1000, 2, 5)", "x5 = rbeta(1000, 2, 10)"), col = 2:6, lty = 1, cex = 0.8) install.packages("tidyr") # Install & load tidyr library("tidyr") data_long <- data %>% # Convert wide to long data pivot_longer(colnames(data)) %>% as.data.frame() install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2 package ggplot(data_long, # Draw all densities in ggplot2 plot aes(value, fill = name)) + geom_density(alpha = 0.25) Follow me on Social Media: Facebook – Statistics Globe Page:   / statisticsglobecom   Facebook – R Programming Group for Discussions & Questions:   / statisticsglobe   Facebook – Python Programming Group for Discussions & Questions:   / statisticsglobepython   LinkedIn – Statistics Globe Page:   / statisticsglobe   LinkedIn – R Programming Group for Discussions & Questions:   / 12555223   LinkedIn – Python Programming Group for Discussions & Questions:   / 12673534   Twitter:   / joachimschork   Music by bensound.com

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