What Are The Two Main Colors Used In Ggplot

Box plot in ggplot2 with geom_boxplot

If you take a information frame containing a numerical variable you can use geom_boxplot to create a box plot in ggplot2, passing the variable to aes.

              # install.packages("ggplot2") library(ggplot2)  # Data set.seed(iii) y <- rnorm(500) df <- data.frame(y)  # Basic box plot ggplot(df, aes(y = y)) +    geom_boxplot()            

Alternatively y'all can set 10 = "". This volition remove the values of the X centrality and make the box plot thinner.

              # install.packages("ggplot2") library(ggplot2)  # Data set up.seed(3) y <- rnorm(500) df <- information.frame(y)  # Basic box plot ggplot(df, aes(x = "", y = y)) +    geom_boxplot()            

Adding error bars (whiskers) with stat_boxplot

The default box plot in ggplot doesn't add the fault bar lines, merely y'all can add them with stat_boxplot, setting geom = "errorbar". Note that you tin can modify its width with width.

              # install.packages("ggplot2") library(ggplot2)  # Data set.seed(3) y <- rnorm(500) df <- information.frame(y)  # Basic box plot ggplot(df, aes(y = y)) +    stat_boxplot(geom = "errorbar",                width = 0.15) +    geom_boxplot()            

Horizontal box plot

There are 2 primary means to change the orientation of a box plot in ggplot2: changing the aes variable or using coord_flip as in the examples below.

Choice 1: changing the argument.

              # install.packages("ggplot2") library(ggplot2)  # Data fix.seed(3) y <- rnorm(500) df <- information.frame(y)  # Horizontal box plot ggplot(df, aes(x = y)) +    stat_boxplot(geom = "errorbar",                width = 0.15) +    geom_boxplot()            

Choice 2: using coord_flip .

              # install.packages("ggplot2") library(ggplot2)  # Data ready.seed(3) y <- rnorm(500) df <- information.frame(y)  # Horizontal box plot ggplot(df, aes(y = y)) +    stat_boxplot(geom = "errorbar",                width = 0.15) +    geom_boxplot() +   coord_flip()            

Box plot customization

The ggplot box plots can be customized making use of the arguments of stat_boxplot and geom_boxplot. In the following examples we are changing the colors and line types of the plots, highlighting the corresponding arguments.

Colors customization

              # install.packages("ggplot2") library(ggplot2)  # Data set up.seed(3) y <- rnorm(500) df <- information.frame(y)  # Box plot customization ggplot(df, aes(y = y)) +    stat_boxplot(geom = "errorbar",                width = 0.15,                colour = 1) +  # Mistake bar color   geom_boxplot(fill = 2,           # Box colour                alpha = 0.5,        # Transparency                colour = 1,          # Border color                outlier.colour = 2) # Outlier colour            

Lines customization

              # install.packages("ggplot2") library(ggplot2)  # Data set.seed(3) y <- rnorm(500) df <- data.frame(y)  # Box plot lines customization ggplot(df, aes(y = y)) +    stat_boxplot(geom = "errorbar",                width = 0.xv,                linetype = two, # Line type                lwd = 0.v) +  # Line width   geom_boxplot(linetype = 2, # Line type                lwd = 0.5)    # Line width            

Source: https://r-charts.com/distribution/box-plot-ggplot2/

Posted by: jacksonmulaked.blogspot.com

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