inst/examples/boxplot-example.r

In forestploter: Create Flexible Forest Plot

library(grid)

# Function to calculate Box plot values
box_func <- function(x){
  iqr <- IQR(x)
  q3 <- quantile(x, probs = c(0.25, 0.5, 0.75), names = FALSE)
  c("min" = q3[1] - 1.5*iqr, "q1" = q3[1], "med" = q3[2],
    "q3" = q3[3], "max" = q3[3] + 1.5*iqr)
}
# Prepare data
val <- split(ToothGrowth$len, list(ToothGrowth$supp, ToothGrowth$dose))
val <- lapply(val, box_func)

dat <- do.call(rbind, val)
dat <- data.frame(Dose = row.names(dat),
                  dat, row.names = NULL)

dat$Box <- paste(rep(" ", 20), collapse = " ")

# Draw single group box plot
tm <- forest_theme(ci_Theight = 0.2)

p <- forest(dat[,c(1, 7)],
            est = dat$med,
            lower = dat$min,
            upper = dat$max,
            # sizes = sizes,
            fn_ci = make_boxplot,
            ci_column = 2,
            lowhinge = dat$q1,
            uphinge = dat$q3,
            hinge_height = 0.2,
            index_args = c("lowhinge", "uphinge"),
            gp_box = gpar(fill = "black", alpha = 0.4),
            theme = tm
)
p

# Multiple group
# Prepare data
dat_oj <- dat[c(1, 3, 5),]
dat_vc <- dat[c(2, 4, 6), ]

dat <- data.frame(Dose = c(0.5, 1, 2))
dat$Box <- paste(rep(" ", 20), collapse = " ")

# Draw plot
tm <- forest_theme(ci_Theight = 0.2,
                   ci_pch = 3)

p <- forest(dat,
            est = list(dat_oj$med, dat_vc$med),
            lower = list(dat_oj$min, dat_vc$min),
            upper = list(dat_oj$max, dat_vc$max),
            fn_ci = make_boxplot,
            ci_column = 2,
            lowhinge = list(dat_oj$q1, dat_vc$q1),
            uphinge = list(dat_oj$q3, dat_vc$q3),
            hinge_height = 0.2,
            index_args = c("lowhinge", "uphinge"),
            theme = tm
)

p