tests/testthat/_snaps/data-sim.md

In gavinsimpson/gratia: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'

data sim for gfam works

Code
  print(sim)
Output
  # A tibble: 400 x 12
           y index family     x0     x1     x2     x3     f     f0    f1        f2
       <dbl> <int> <chr>   <dbl>  <dbl>  <dbl>  <dbl> <dbl>  <dbl> <dbl>     <dbl>
   1  1          1 binary  0.897 0.148  0.348  0.0457 1.59  0.128  0.269 1.20     
   2  0.237      2 tweedie 0.266 0.659  0.859  0.367  1.10  0.296  0.747 0.0596   
   3  0.0156     3 normal  0.372 0.185  0.0344 0.741  0.715 0.368  0.290 0.0575   
   4  1          1 binary  0.573 0.954  0.971  0.934  1.74  0.390  1.35  0.0000172
   5  1.98       3 normal  0.908 0.898  0.745  0.673  1.75  0.114  1.20  0.432    
   6 11.1        2 tweedie 0.202 0.944  0.273  0.701  3.24  0.237  1.32  1.68     
   7  0.904      2 tweedie 0.898 0.724  0.677  0.848  1.61  0.126  0.850 0.629    
   8  0          1 binary  0.945 0.370  0.348  0.706  1.69  0.0692 0.419 1.20     
   9  0          1 binary  0.661 0.781  0.947  0.859  1.30  0.350  0.954 0.000486 
  10  1          1 binary  0.629 0.0111 0.339  0.446  1.84  0.368  0.205 1.27     
  # i 390 more rows
  # i 1 more variable: f3 <dbl>

gavinsimpson/gratia documentation built on May 4, 2024, 8:13 a.m.