tests/testthat/_snaps/vis-cor.md

In tierneyn/visdat: Preliminary Visualisation of Data

vis_cor sends an error when used with the wrong data

Code
  vis_cor(iris)
Error <rlang_error>
  Data input can only contain numeric values
  Please subset the data to the numeric values you would like.
  `dplyr::select(<data>, where(is.numeric))`
  Can be helpful here!

vis_cor fails when an object of the wrong class is provided

Code
  vis_cor(AirPassengers)
Error <rlang_error>
  `vis_dat()` requires a <data.frame>
  the object I see has class(es):
  <ts>

data_vis_cor gets the data properly

Code
  the_vis_cor_data
Output
  # A tibble: 36 x 3
     row_1   row_2     value
     <chr>   <chr>     <dbl>
   1 Ozone   Ozone    1     
   2 Ozone   Solar.R  0.348 
   3 Ozone   Wind    -0.602 
   4 Ozone   Temp     0.698 
   5 Ozone   Month    0.165 
   6 Ozone   Day     -0.0132
   7 Solar.R Ozone    0.348 
   8 Solar.R Solar.R  1     
   9 Solar.R Wind    -0.0568
  10 Solar.R Temp     0.276 
  # i 26 more rows

data_vis_cor gets the data properly for groups

Code
  the_vis_cor_data_month
Output
  # A tibble: 125 x 4
  # Groups:   Month [5]
     Month row_1   row_2     value
     <int> <chr>   <chr>     <dbl>
   1     5 Ozone   Ozone    1     
   2     5 Ozone   Solar.R  0.243 
   3     5 Ozone   Wind    -0.374 
   4     5 Ozone   Temp     0.554 
   5     5 Ozone   Day      0.302 
   6     5 Solar.R Ozone    0.243 
   7     5 Solar.R Solar.R  1     
   8     5 Solar.R Wind    -0.227 
   9     5 Solar.R Temp     0.455 
  10     5 Solar.R Day     -0.0644
  # i 115 more rows

tierneyn/visdat documentation built on June 29, 2023, 9:40 p.m.