File: test-printing.R

package info (click to toggle)
r-cran-parameters 0.24.2-2
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 3,852 kB
  • sloc: sh: 16; makefile: 2
file content (130 lines) | stat: -rw-r--r-- 4,346 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
skip_on_cran()
skip_if_not_installed("withr")
skip_if(getRversion() < "4.0.0")

withr::with_options(
  list(parameters_interaction = "*", easystats_table_width = Inf),
  {
    # Splitting model components ----
    test_that("print model with multiple components", {
      skip_if_not_installed("glmmTMB")
      data("Salamanders", package = "glmmTMB")
      model <- glmmTMB::glmmTMB(count ~ spp + mined + (1 | site),
        ziformula = ~ spp + mined,
        family = glmmTMB::nbinom2(),
        data = Salamanders
      )
      out <- model_parameters(model, exponentiate = TRUE)
      expect_snapshot(print(out))
      expect_snapshot(print(out, split_component = FALSE))
    })

    # Adding model summaries -----
    test_that("adding model summaries", {
      # summary doesn't show the R2 if performance is not installed so the
      # snapshot breaks between R CMD check "classic" and "strict"
      skip_if_not_installed("performance")
      model <- lm(Sepal.Length ~ Species * Petal.Length, data = iris)
      out <- model_parameters(model, include_info = TRUE)
      expect_snapshot(print(out))
    })

    # Group parameters ------
    test_that("grouped parameters", {
      mtcars$cyl <- as.factor(mtcars$cyl)
      mtcars$gear <- as.factor(mtcars$gear)
      model <- lm(mpg ~ hp + gear * vs + cyl + drat, data = mtcars)

      # don't select "Intercept" parameter
      out <- model_parameters(model, drop = "^\\(Intercept")
      expect_snapshot(
        print(out, groups = list(
          Engine = c("cyl6", "cyl8", "vs", "hp"),
          Interactions = c("gear4:vs", "gear5:vs"),
          Controls = c(2, 3, 7)
        ))
      )
      expect_snapshot(
        print(out,
          sep = "  ",
          groups = list(
            Engine = c("cyl6", "cyl8", "vs", "hp"),
            Interactions = c("gear4:vs", "gear5:vs"),
            Controls = c(2, 3, 7)
          )
        )
      )
    })


    # Digits ------
    test_that("digits and ci_digits", {
      mtcars$cyl <- as.factor(mtcars$cyl)
      mtcars$gear <- as.factor(mtcars$gear)
      model <- lm(mpg ~ hp + gear + vs + cyl + drat, data = mtcars)
      expect_snapshot(model_parameters(model, digits = 4))
      expect_snapshot(model_parameters(model, digits = 4, ci_digits = 1))
      out <- model_parameters(model)
      expect_snapshot(print(out, digits = 4))
      expect_snapshot(print(out, digits = 4, ci_digits = 1))
    })


    # Table templates ------
    test_that("select pattern", {
      mtcars$cyl <- as.factor(mtcars$cyl)
      mtcars$gear <- as.factor(mtcars$gear)
      model <- lm(mpg ~ hp + gear * vs + cyl + drat, data = mtcars)

      # don't select "Intercept" parameter
      out <- model_parameters(model, drop = "^\\(Intercept")
      expect_snapshot(
        print(out, groups = list(
          Engine = c("cyl6", "cyl8", "vs", "hp"),
          Interactions = c("gear4:vs", "gear5:vs"),
          Controls = c(2, 3, 7)
        ))
      )
      expect_snapshot(print(out, select = "{coef} ({se})"))
      expect_snapshot(print(out, select = "{coef}{stars}|[{ci}]"))
      expect_snapshot(
        print(out, groups = list(
          Engine = c("cyl6", "cyl8", "vs", "hp"),
          Interactions = c("gear4:vs", "gear5:vs"),
          Controls = c(2, 3, 7)
        ), select = "{coef}{stars}|[{ci}]")
      )
      expect_snapshot(
        print(out,
          sep = "  ",
          groups = list(
            Engine = c("cyl6", "cyl8", "vs", "hp"),
            Interactions = c("gear4:vs", "gear5:vs"),
            Controls = c(2, 3, 7)
          ),
          select = "{coef}{stars}|[{ci}]"
        )
      )
    })
  }
)

withr::with_options(
  list(parameters_warning_exponentiate = TRUE),
  test_that("no more message about interpretation of log-resoponse", {
    data(mtcars)
    m <- lm(log(mpg) ~ gear, data = mtcars)
    out <- model_parameters(m, exponentiate = TRUE)
    expect_snapshot(print(out))
  })
)

withr::with_options(
  list(parameters_warning_exponentiate = TRUE),
  test_that("no fail for mgcv-binomial", {
    skip_if_not_installed("mgcv")
    m <- mgcv::gam(vs ~ s(mpg), data = mtcars, family = "binomial")
    out <- model_parameters(m)
    expect_snapshot(print(out))
  })
)