tests/testthat/_snaps/partial-derivatives.md

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

partial derivatives works with factor by

Code
  pd
Output
  # A tibble: 200 x 11
     .smooth    .focal .by   .fs   .partial_deriv    .se .crit .lower_ci .upper_ci
     <chr>      <chr>  <chr> <chr>          <dbl>  <dbl> <dbl>     <dbl>     <dbl>
   1 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   2 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   3 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   4 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   5 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   6 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   7 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   8 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   9 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
  10 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
  # i 190 more rows
  # i 2 more variables: x1 <dbl>, z1 <fct>

partial derivatives works with selected factor by

Code
  pd
Output
  # A tibble: 100 x 11
     .smooth    .focal .by   .fs   .partial_deriv    .se .crit .lower_ci .upper_ci
     <chr>      <chr>  <chr> <chr>          <dbl>  <dbl> <dbl>     <dbl>     <dbl>
   1 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   2 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   3 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   4 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   5 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   6 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   7 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   8 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
   9 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
  10 te(x1,x2)~ x1     z1    <NA>         -0.0225 0.0254  1.96   -0.0723    0.0274
  # i 90 more rows
  # i 2 more variables: x1 <dbl>, z1 <fct>

partial derivatives throws error with incorrect focal

Code
  partial_derivatives(m_partial_deriv, focal = rep("x1", 1L))
Output

Message
  ! Ignoring univariate smooths & those involving random effects.
Output

Condition
  Error in `partial_derivatives()`:
  ! `focal` must have same length as number of chosen smooths
  i The relevant smooths are: te(x1,x2):z1A and te(x1,x2):z1B
  i The supplied `focal` should be length: 2
  x Your supplied `focal` was length: 1

gratia documentation built on Feb. 7, 2026, 9:06 a.m.