tests/testthat/_snaps/tests.md

In DanChaltiel/crosstable: Crosstables for Descriptive Analyses

Testing everything

Code
  as.data.frame(x)
Output
      .id                    label                     variable
  1  disp    Displacement (cu.in.)                    Min / Max
  2  disp    Displacement (cu.in.)                    Med [IQR]
  3  disp    Displacement (cu.in.)                   Mean (std)
  4  disp    Displacement (cu.in.)                       N (NA)
  5    hp         Gross horsepower                    Min / Max
  6    hp         Gross horsepower                    Med [IQR]
  7    hp         Gross horsepower                   Mean (std)
  8    hp         Gross horsepower                       N (NA)
  9    am             Transmission                         auto
  10   am             Transmission                       manual
  11   am             Transmission                        Total
  12 surv Dummy survival (disp/am)                         t=70
  13 surv Dummy survival (disp/am)                        t=100
  14 surv Dummy survival (disp/am)                        t=200
  15 surv Dummy survival (disp/am)                        t=400
  16 surv Dummy survival (disp/am) Median follow up [min ; max]
  17 surv Dummy survival (disp/am)              Median survival
                straight             vshaped                NA             Total
  1             71 / 258           120 / 472         141 / 360          71 / 472
  2          95 [79;120]       304 [218;376]     196 [162;297]     196 [121;326]
  3             112 (58)           302 (116)          230 (91)         231 (124)
  4                9 (0)              15 (0)             8 (0)            32 (0)
  5             52 / 113            91 / 335          62 / 245          52 / 335
  6          93 [66;109]       180 [150;222]     123 [102;176]      123 [96;180]
  7              86 (23)            188 (65)          138 (58)          147 (69)
  8                9 (0)              15 (0)             8 (0)            32 (0)
  9   2 (8% / 18% / 22%) 9 (38% / 82% / 60%)                 8          19 (59%)
  10 7 (29% / 54% / 78%) 6 (25% / 46% / 40%)                 0          13 (41%)
  11             9 (38%)            15 (62%)                 8         32 (100%)
  12             1 (0/9)            1 (0/15)           1 (0/8)          1 (0/32)
  13           0.4 (5/4)            1 (0/15)           1 (0/8)          1 (5/27)
  14           0.2 (2/1)            1 (4/11)           1 (0/4)          1 (6/16)
  15           0.2 (0/0)             1 (2/4)           1 (0/0)           1 (2/4)
  16   258 [120.1 ; 258]   400 [275.8 ; 472] 196 [140.8 ; 360] 304 [120.1 ; 472]
  17                95.1                <NA>              <NA>              <NA>
                                                                                           effect
  1  Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 190 [120 to 261]
  2  Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 190 [120 to 261]
  3  Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 190 [120 to 261]
  4  Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 190 [120 to 261]
  5       Difference in means (Welch CI), ref='straight'\nvshaped minus straight: 102 [63 to 141]
  6       Difference in means (Welch CI), ref='straight'\nvshaped minus straight: 102 [63 to 141]
  7       Difference in means (Welch CI), ref='straight'\nvshaped minus straight: 102 [63 to 141]
  8       Difference in means (Welch CI), ref='straight'\nvshaped minus straight: 102 [63 to 141]
  9      Odds ratio [95% Wald CI], ref='vshaped vs straight'\nmanual vs auto: 0.19 [0.02 to 1.11]
  10     Odds ratio [95% Wald CI], ref='vshaped vs straight'\nmanual vs auto: 0.19 [0.02 to 1.11]
  11     Odds ratio [95% Wald CI], ref='vshaped vs straight'\nmanual vs auto: 0.19 [0.02 to 1.11]
  12                             Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42]
  13                             Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42]
  14                             Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42]
  15                             Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42]
  16                             Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42]
  17                             Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42]
                                                       test
  1              p value: 0.0002 \n(Wilcoxon rank sum test)
  2              p value: 0.0002 \n(Wilcoxon rank sum test)
  3              p value: 0.0002 \n(Wilcoxon rank sum test)
  4              p value: 0.0002 \n(Wilcoxon rank sum test)
  5            p value: <0.0001 \n(Welch Two Sample t-test)
  6            p value: <0.0001 \n(Welch Two Sample t-test)
  7            p value: <0.0001 \n(Welch Two Sample t-test)
  8            p value: <0.0001 \n(Welch Two Sample t-test)
  9  p value: 0.1049 \n(Fisher's Exact Test for Count Data)
  10 p value: 0.1049 \n(Fisher's Exact Test for Count Data)
  11 p value: 0.1049 \n(Fisher's Exact Test for Count Data)
  12                       p value: 0.0002 \n(Logrank test)
  13                       p value: 0.0002 \n(Logrank test)
  14                       p value: 0.0002 \n(Logrank test)
  15                       p value: 0.0002 \n(Logrank test)
  16                       p value: 0.0002 \n(Logrank test)
  17                       p value: 0.0002 \n(Logrank test)

Code
  ft
Output
  a flextable object.
  col_keys: `label`, `variable`, `straight`, `vshaped`, `NA`, `Total`, `effect`, `test` 
  header has 2 row(s) 
  body has 17 row(s) 
  original dataset sample: 
     .id                 label   variable    straight       vshaped            NA
  1 disp Displacement (cu.in.)  Min / Max    71 / 258     120 / 472     141 / 360
  2 disp Displacement (cu.in.)  Med [IQR] 95 [79;120] 304 [218;376] 196 [162;297]
  3 disp Displacement (cu.in.) Mean (std)    112 (58)     302 (116)      230 (91)
  4 disp Displacement (cu.in.)     N (NA)       9 (0)        15 (0)         8 (0)
  5   hp      Gross horsepower  Min / Max    52 / 113      91 / 335      62 / 245
            Total
  1      71 / 472
  2 196 [121;326]
  3     231 (124)
  4        32 (0)
  5      52 / 335
                                                                                          effect
  1 Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 190 [120 to 261]
  2 Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 190 [120 to 261]
  3 Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 190 [120 to 261]
  4 Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 190 [120 to 261]
  5      Difference in means (Welch CI), ref='straight'\nvshaped minus straight: 102 [63 to 141]
                                            test
  1   p value: 0.0002 \n(Wilcoxon rank sum test)
  2   p value: 0.0002 \n(Wilcoxon rank sum test)
  3   p value: 0.0002 \n(Wilcoxon rank sum test)
  4   p value: 0.0002 \n(Wilcoxon rank sum test)
  5 p value: <0.0001 \n(Welch Two Sample t-test)

DanChaltiel/crosstable documentation built on Jan. 23, 2025, 10:10 a.m.