tests/testthat/_snaps/selecting_variables.md

In correlation: Methods for Correlation Analysis

selecting specific variables works

Code
  list(df1, df2, df3, df4)
Output
  [[1]]
  # Correlation Matrix (pearson-method)

  Parameter1 | Parameter2 |    r |       95% CI | t(30) |         p
  -----------------------------------------------------------------
  cyl        |         hp | 0.83 | [0.68, 0.92] |  8.23 | < .001***
  wt         |         hp | 0.66 | [0.40, 0.82] |  4.80 | < .001***

  p-value adjustment method: Holm (1979)
  Observations: 32

  [[2]]
  # Correlation Matrix (pearson-method)

  Group | Parameter1 | Parameter2 |    r |       95% CI |    t | df |         p
  -----------------------------------------------------------------------------
  0     |        cyl |         hp | 0.85 | [0.64, 0.94] | 6.53 | 17 | < .001***
  0     |         wt |         hp | 0.68 | [0.33, 0.87] | 3.82 | 17 | 0.001**  
  1     |        cyl |         hp | 0.90 | [0.69, 0.97] | 6.87 | 11 | < .001***
  1     |         wt |         hp | 0.81 | [0.48, 0.94] | 4.66 | 11 | < .001***

  p-value adjustment method: Holm (1979)
  Observations: 13-19

  [[3]]
  # Correlation Matrix (pearson-method)

  Parameter1 | Parameter2 |    r |       95% CI | t(30) |         p
  -----------------------------------------------------------------
  wt         |         hp | 0.66 | [0.40, 0.82] |  4.80 | < .001***

  p-value adjustment method: Holm (1979)
  Observations: 32

  [[4]]
  # Correlation Matrix (pearson-method)

  Parameter1 | Parameter2 |    r |       95% CI | t(30) |         p
  -----------------------------------------------------------------
  wt         |         hp | 0.66 | [0.40, 0.82] |  4.80 | < .001***

  p-value adjustment method: Holm (1979)
  Observations: 32

correlation documentation built on April 4, 2025, 1:11 a.m.