Create Boxplot with Previously Calculated Statisitics in R (2 Examples)

base_list <- list(stats = matrix(11:15, ncol = 1),  # Create list with stats
                  n = 5)
base_list
# $stats
#      [,1]
# [1,]   11
# [2,]   12
# [3,]   13
# [4,]   14
# [5,]   15
# 
# $n
# [1] 5

base_list <- list(stats = matrix(11:15, ncol = 1), # Create list with stats n = 5) base_list # $stats # [,1] # [1,] 11 # [2,] 12 # [3,] 13 # [4,] 14 # [5,] 15 # # $n # [1] 5

bxp(base_list)                                      # Base R boxplot with precomputed values

bxp(base_list) # Base R boxplot with precomputed values

install.packages("ggplot2")                         # Install & load ggplot2
library("ggplot2")

install.packages("ggplot2") # Install & load ggplot2 library("ggplot2")

ggplot_data <- data.frame(x = "x",                  # Create data frame with stats
                          ymin = 11,
                          lower = 12,
                          middle = 13,
                          upper = 14,
                          ymax = 15)
ggplot_data
#   x ymin lower middle upper ymax
# 1 x   11    12     13    14   15

ggplot_data <- data.frame(x = "x", # Create data frame with stats ymin = 11, lower = 12, middle = 13, upper = 14, ymax = 15) ggplot_data # x ymin lower middle upper ymax # 1 x 11 12 13 14 15

ggplot(ggplot_data,                                 # ggplot2 boxplot with precomputed values
       aes(x = x,
           ymin = ymin,
           lower = lower,
           middle = middle,
           upper = upper,
           ymax = ymax)) +
  geom_boxplot(stat = "identity")

ggplot(ggplot_data, # ggplot2 boxplot with precomputed values aes(x = x, ymin = ymin, lower = lower, middle = middle, upper = upper, ymax = ymax)) + geom_boxplot(stat = "identity")