boxplot_tbl.RdMake a simple boxplot plotting tbl
boxplot_tbl(x, index = 2)a matrix or data.frame
summarisation index, "1" for rows or "2" (default) for columns.
A tibble
data(cpop_data_binary, package = 'CPOP')
## Loading example matrix
x1 = cpop_data_binary$x1
set.seed(1)
boxplot_tbl(x = x1, index = 1)
#> # A tibble: 100 × 6
#> object means medians q1 q3 n_na
#> <fct> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 001 0.959 0.897 0.332 1.64 0
#> 2 002 0.724 0.725 0.0824 1.47 0
#> 3 003 1.14 1.15 0.747 1.69 0
#> 4 004 0.953 0.882 0.171 1.35 0
#> 5 005 0.908 0.761 -0.0496 1.61 0
#> 6 006 1.15 1.21 0.538 1.54 0
#> 7 007 0.671 0.644 -0.0426 1.44 0
#> 8 008 1.30 1.38 0.455 2.05 0
#> 9 009 0.772 0.800 0.146 1.22 0
#> 10 010 0.902 0.848 0.162 1.46 0
#> # … with 90 more rows
boxplot_tbl(x = x1, index = 2)
#> # A tibble: 20 × 6
#> object means medians q1 q3 n_na
#> <fct> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 X01 0.938 0.921 0.244 1.56 0
#> 2 X02 1.03 0.999 0.248 1.73 0
#> 3 X03 0.817 0.807 0.0848 1.50 0
#> 4 X04 1.20 1.19 0.515 1.93 0
#> 5 X05 1.03 1.11 0.423 1.64 0
#> 6 X06 0.978 1.00 0.303 1.66 0
#> 7 X07 0.965 0.985 0.318 1.76 0
#> 8 X08 1.01 0.880 0.340 1.71 0
#> 9 X09 1.10 1.03 0.481 1.78 0
#> 10 X10 0.897 0.784 0.303 1.40 0
#> 11 X11 1.09 0.995 0.411 1.85 0
#> 12 X12 1.04 0.925 0.385 1.71 0
#> 13 X13 0.980 0.975 0.259 1.69 0
#> 14 X14 0.959 0.978 0.175 1.60 0
#> 15 X15 1.01 1.00 0.505 1.56 0
#> 16 X16 1.03 1.08 0.405 1.62 0
#> 17 X17 0.920 0.922 0.196 1.61 0
#> 18 X18 1.02 0.912 0.428 1.72 0
#> 19 X19 0.890 0.996 0.246 1.42 0
#> 20 X20 1.07 0.948 0.510 1.77 0