tests/testthat/_snaps/describe_distribution.md

In easystats/datawizard: Easy Data Wrangling and Statistical Transformations

describe_distribution - factor

Code
  describe_distribution(factor(substring("statistics", 1:10, 1:10)))
Output
  Mean | SD |  Range | Skewness | Kurtosis |  n | n_Missing
  ---------------------------------------------------------
       |    | [a, t] |    -0.77 |    -0.13 | 10 |         0

describe_distribution - character

Code
  describe_distribution(as.character(ToothGrowth$supp))
Output
  Mean | SD |    Range | Skewness | Kurtosis |  n | n_Missing
  -----------------------------------------------------------
       |    | [VC, OJ] |        0 |    -2.07 | 60 |         0

describe_distribution - grouped df

Code
  out
Output
  Species    |     Variable | Mean |   SD |  IQR |        Range | Skewness
  ------------------------------------------------------------------------
  setosa     | Petal.Length | 1.46 | 0.17 | 0.20 | [1.00, 1.90] |     0.11
  setosa     |  Petal.Width | 0.25 | 0.11 | 0.10 | [0.10, 0.60] |     1.25
  versicolor | Petal.Length | 4.26 | 0.47 | 0.60 | [3.00, 5.10] |    -0.61
  versicolor |  Petal.Width | 1.33 | 0.20 | 0.30 | [1.00, 1.80] |    -0.03
  virginica  | Petal.Length | 5.55 | 0.55 | 0.80 | [4.50, 6.90] |     0.55
  virginica  |  Petal.Width | 2.03 | 0.27 | 0.50 | [1.40, 2.50] |    -0.13

  Species    | Kurtosis |  n | n_Missing
  --------------------------------------
  setosa     |     1.02 | 50 |         0
  setosa     |     1.72 | 50 |         0
  versicolor |     0.05 | 50 |         0
  versicolor |    -0.41 | 50 |         0
  virginica  |    -0.15 | 50 |         0
  virginica  |    -0.60 | 50 |         0

describe_distribution - grouped df and multiple groups

Code
  describe_distribution(x)
Output
  grp1 | grp2 | Variable |  Mean |    SD |   IQR |          Range | Skewness
  --------------------------------------------------------------------------
  a    |    a |   values | 10.00 |  6.48 | 12.00 |  [1.00, 19.00] |     0.00
  b    |    a |   values | 13.86 | 10.92 | 21.00 |  [1.00, 28.00] |     0.23
  c    |    a |   values | 20.50 |  5.61 | 10.50 | [13.00, 28.00] |     0.00
  a    |    b |   values | 11.00 |  6.48 | 12.00 |  [2.00, 20.00] |     0.00
  b    |    b |   values | 15.50 | 11.81 | 22.50 |  [2.00, 29.00] |     0.00
  c    |    b |   values | 20.00 |  6.48 | 12.00 | [11.00, 29.00] |     0.00
  a    |    c |   values | 10.50 |  5.61 | 10.50 |  [3.00, 18.00] |     0.00
  b    |    c |   values | 17.14 | 10.92 | 21.00 |  [3.00, 30.00] |    -0.23
  c    |    c |   values | 21.00 |  6.48 | 12.00 | [12.00, 30.00] |     0.00

  grp1 | Kurtosis | n | n_Missing
  -------------------------------
  a    |    -1.20 | 7 |         0
  b    |    -2.14 | 7 |         0
  c    |    -1.20 | 6 |         0
  a    |    -1.20 | 7 |         0
  b    |    -2.76 | 6 |         0
  c    |    -1.20 | 7 |         0
  a    |    -1.20 | 6 |         0
  b    |    -2.14 | 7 |         0
  c    |    -1.20 | 7 |         0

describe_distribution formatting

Code
  format(x)
Output
  Mean |   SD |  IQR |        Range |  Quartiles | Skewness | Kurtosis |   n | n_Missing
  --------------------------------------------------------------------------------------
  3.06 | 0.44 | 0.52 | [2.00, 4.40] | 2.80, 3.30 |     0.32 |     0.23 | 150 |         0

easystats/datawizard documentation built on April 17, 2025, 5:32 a.m.