For a streamlined approach, this function combines multiple other
expstudy-package functions to generate multiple analyses simultaneously.
All grouping combinations will be generated from variables passed as
<dynamic-dots>, then analytics will be created for each.
Resulting output can have the typical metrics via add_metrics(), or
proportions via add_proportions(). Default parameters are used for each
function, however, you can pass additional parameters in a list to the
corresponding function element via the output_args argument.
Furthermore, you can choose to have the results return unformatted (for further calculations or analysis) or formatted (for presentation purposes).
This function was meant to provide quick results for routine analysis. Any
additional in-depth analyses should make use of individual expstudy
functions instead.
Arguments
- expstudy
an
expstudy()- ...
variables to generate grouped analyses. All combinations of variables provided will be generated and used as groups in results.
- output
type of result to output (i.e., with metrics or proportions). If omitted, both will be generated and returned in a list.
- output_args
additional arguments to pass to
add_metrics()andadd_proportions(). If omitted, default parameters will be used for both functions.- output_format
resulting output format. If omitted, both will be generated and returned as a list.
Value
a (potentially nested) list with resulting analysis according to arguments passed to the function.
Examples
es <- expstudy(
data = mortexp,
actuals = ACTUAL_DEATHS,
expecteds = EXPECTED_DEATHS,
exposures = EXPOSURE,
variances = VARIANCE_DEATHS
)
# Quickly generate multiple analyses by simply declaring variables of
# interest within an experience study.
es %>%
compile_results(
GENDER,
SMOKING_STATUS,
UNDERWRITING_CLASS
)
#> $UNFORMATTED
#> $UNFORMATTED$METRICS
#> $UNFORMATTED$METRICS$AGGREGATE
#> # A tibble: 1 × 7
#> ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS ACTUAL_TO_EXPECTED
#> * <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 349 252. 14264. 252. 1.38
#> # ℹ 2 more variables: ACTUAL_TO_EXPOSED <dbl>, EXPECTED_TO_EXPOSED <dbl>
#>
#> $UNFORMATTED$METRICS$`BY GENDER`
#> # A tibble: 2 × 8
#> GENDER ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 FEMALE 134 107. 6098. 107.
#> 2 MALE 215 145. 8166. 145.
#> # ℹ 3 more variables: ACTUAL_TO_EXPECTED <dbl>, ACTUAL_TO_EXPOSED <dbl>,
#> # EXPECTED_TO_EXPOSED <dbl>
#>
#> $UNFORMATTED$METRICS$`BY SMOKING_STATUS`
#> # A tibble: 2 × 8
#> SMOKING_STATUS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 NON-SMOKER 241 179. 9956. 178.
#> 2 SMOKER 108 73.4 4309. 73.3
#> # ℹ 3 more variables: ACTUAL_TO_EXPECTED <dbl>, ACTUAL_TO_EXPOSED <dbl>,
#> # EXPECTED_TO_EXPOSED <dbl>
#>
#> $UNFORMATTED$METRICS$`BY UNDERWRITING_CLASS`
#> # A tibble: 3 × 8
#> UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 PREFERRED 36 25.7 1579. 25.7
#> 2 SELECT 80 63.0 3534. 62.8
#> 3 STANDARD 233 163. 9151. 163.
#> # ℹ 3 more variables: ACTUAL_TO_EXPECTED <dbl>, ACTUAL_TO_EXPOSED <dbl>,
#> # EXPECTED_TO_EXPOSED <dbl>
#>
#> $UNFORMATTED$METRICS$`BY GENDER AND SMOKING_STATUS`
#> # A tibble: 4 × 9
#> GENDER SMOKING_STATUS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 FEMALE NON-SMOKER 95 76.3 4294. 76.2
#> 2 FEMALE SMOKER 39 30.9 1804. 30.8
#> 3 MALE NON-SMOKER 146 102. 5662. 102.
#> 4 MALE SMOKER 69 42.5 2504. 42.5
#> # ℹ 3 more variables: ACTUAL_TO_EXPECTED <dbl>, ACTUAL_TO_EXPOSED <dbl>,
#> # EXPECTED_TO_EXPOSED <dbl>
#>
#> $UNFORMATTED$METRICS$`BY GENDER AND UNDERWRITING_CLASS`
#> # A tibble: 6 × 9
#> GENDER UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE
#> * <fct> <fct> <dbl> <dbl> <dbl>
#> 1 FEMALE PREFERRED 12 10.6 626.
#> 2 FEMALE SELECT 30 28.4 1602.
#> 3 FEMALE STANDARD 92 68.2 3870.
#> 4 MALE PREFERRED 24 15.1 953.
#> 5 MALE SELECT 50 34.6 1932.
#> 6 MALE STANDARD 141 95.2 5281.
#> # ℹ 4 more variables: VARIANCE_DEATHS <dbl>, ACTUAL_TO_EXPECTED <dbl>,
#> # ACTUAL_TO_EXPOSED <dbl>, EXPECTED_TO_EXPOSED <dbl>
#>
#> $UNFORMATTED$METRICS$`BY SMOKING_STATUS AND UNDERWRITING_CLASS`
#> # A tibble: 6 × 9
#> SMOKING_STATUS UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE
#> * <fct> <fct> <dbl> <dbl> <dbl>
#> 1 NON-SMOKER PREFERRED 26 18.4 1134.
#> 2 NON-SMOKER SELECT 54 44.9 2453.
#> 3 NON-SMOKER STANDARD 161 115. 6368.
#> 4 SMOKER PREFERRED 10 7.34 445.
#> 5 SMOKER SELECT 26 18.1 1081.
#> 6 SMOKER STANDARD 72 48.0 2782.
#> # ℹ 4 more variables: VARIANCE_DEATHS <dbl>, ACTUAL_TO_EXPECTED <dbl>,
#> # ACTUAL_TO_EXPOSED <dbl>, EXPECTED_TO_EXPOSED <dbl>
#>
#> $UNFORMATTED$METRICS$`BY GENDER, SMOKING_STATUS, AND UNDERWRITING_CLASS`
#> # A tibble: 12 × 10
#> GENDER SMOKING_STATUS UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS
#> * <fct> <fct> <fct> <dbl> <dbl>
#> 1 FEMALE NON-SMOKER PREFERRED 9 7.74
#> 2 FEMALE NON-SMOKER SELECT 22 20.7
#> 3 FEMALE NON-SMOKER STANDARD 64 47.9
#> 4 FEMALE SMOKER PREFERRED 3 2.86
#> 5 FEMALE SMOKER SELECT 8 7.68
#> 6 FEMALE SMOKER STANDARD 28 20.3
#> 7 MALE NON-SMOKER PREFERRED 17 10.7
#> 8 MALE NON-SMOKER SELECT 32 24.2
#> 9 MALE NON-SMOKER STANDARD 97 67.6
#> 10 MALE SMOKER PREFERRED 7 4.48
#> 11 MALE SMOKER SELECT 18 10.4
#> 12 MALE SMOKER STANDARD 44 27.6
#> # ℹ 5 more variables: EXPOSURE <dbl>, VARIANCE_DEATHS <dbl>,
#> # ACTUAL_TO_EXPECTED <dbl>, ACTUAL_TO_EXPOSED <dbl>,
#> # EXPECTED_TO_EXPOSED <dbl>
#>
#>
#> $UNFORMATTED$PROPORTIONS
#> $UNFORMATTED$PROPORTIONS$AGGREGATE
#> # A tibble: 1 × 8
#> ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS PROP_ACTUAL_DEATHS
#> * <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 349 252. 14264. 252. 1
#> # ℹ 3 more variables: PROP_EXPECTED_DEATHS <dbl>, PROP_EXPOSURE <dbl>,
#> # PROP_VARIANCE_DEATHS <dbl>
#>
#> $UNFORMATTED$PROPORTIONS$`BY GENDER`
#> # A tibble: 2 × 9
#> GENDER ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 FEMALE 134 107. 6098. 107.
#> 2 MALE 215 145. 8166. 145.
#> # ℹ 4 more variables: PROP_ACTUAL_DEATHS <dbl>, PROP_EXPECTED_DEATHS <dbl>,
#> # PROP_EXPOSURE <dbl>, PROP_VARIANCE_DEATHS <dbl>
#>
#> $UNFORMATTED$PROPORTIONS$`BY SMOKING_STATUS`
#> # A tibble: 2 × 9
#> SMOKING_STATUS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 NON-SMOKER 241 179. 9956. 178.
#> 2 SMOKER 108 73.4 4309. 73.3
#> # ℹ 4 more variables: PROP_ACTUAL_DEATHS <dbl>, PROP_EXPECTED_DEATHS <dbl>,
#> # PROP_EXPOSURE <dbl>, PROP_VARIANCE_DEATHS <dbl>
#>
#> $UNFORMATTED$PROPORTIONS$`BY UNDERWRITING_CLASS`
#> # A tibble: 3 × 9
#> UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 PREFERRED 36 25.7 1579. 25.7
#> 2 SELECT 80 63.0 3534. 62.8
#> 3 STANDARD 233 163. 9151. 163.
#> # ℹ 4 more variables: PROP_ACTUAL_DEATHS <dbl>, PROP_EXPECTED_DEATHS <dbl>,
#> # PROP_EXPOSURE <dbl>, PROP_VARIANCE_DEATHS <dbl>
#>
#> $UNFORMATTED$PROPORTIONS$`BY GENDER AND SMOKING_STATUS`
#> # A tibble: 4 × 10
#> GENDER SMOKING_STATUS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 FEMALE NON-SMOKER 95 76.3 4294. 76.2
#> 2 FEMALE SMOKER 39 30.9 1804. 30.8
#> 3 MALE NON-SMOKER 146 102. 5662. 102.
#> 4 MALE SMOKER 69 42.5 2504. 42.5
#> # ℹ 4 more variables: PROP_ACTUAL_DEATHS <dbl>, PROP_EXPECTED_DEATHS <dbl>,
#> # PROP_EXPOSURE <dbl>, PROP_VARIANCE_DEATHS <dbl>
#>
#> $UNFORMATTED$PROPORTIONS$`BY GENDER AND UNDERWRITING_CLASS`
#> # A tibble: 6 × 10
#> GENDER UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE
#> * <fct> <fct> <dbl> <dbl> <dbl>
#> 1 FEMALE PREFERRED 12 10.6 626.
#> 2 FEMALE SELECT 30 28.4 1602.
#> 3 FEMALE STANDARD 92 68.2 3870.
#> 4 MALE PREFERRED 24 15.1 953.
#> 5 MALE SELECT 50 34.6 1932.
#> 6 MALE STANDARD 141 95.2 5281.
#> # ℹ 5 more variables: VARIANCE_DEATHS <dbl>, PROP_ACTUAL_DEATHS <dbl>,
#> # PROP_EXPECTED_DEATHS <dbl>, PROP_EXPOSURE <dbl>, PROP_VARIANCE_DEATHS <dbl>
#>
#> $UNFORMATTED$PROPORTIONS$`BY SMOKING_STATUS AND UNDERWRITING_CLASS`
#> # A tibble: 6 × 10
#> SMOKING_STATUS UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE
#> * <fct> <fct> <dbl> <dbl> <dbl>
#> 1 NON-SMOKER PREFERRED 26 18.4 1134.
#> 2 NON-SMOKER SELECT 54 44.9 2453.
#> 3 NON-SMOKER STANDARD 161 115. 6368.
#> 4 SMOKER PREFERRED 10 7.34 445.
#> 5 SMOKER SELECT 26 18.1 1081.
#> 6 SMOKER STANDARD 72 48.0 2782.
#> # ℹ 5 more variables: VARIANCE_DEATHS <dbl>, PROP_ACTUAL_DEATHS <dbl>,
#> # PROP_EXPECTED_DEATHS <dbl>, PROP_EXPOSURE <dbl>, PROP_VARIANCE_DEATHS <dbl>
#>
#> $UNFORMATTED$PROPORTIONS$`BY GENDER, SMOKING_STATUS, AND UNDERWRITING_CLASS`
#> # A tibble: 12 × 11
#> GENDER SMOKING_STATUS UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS
#> * <fct> <fct> <fct> <dbl> <dbl>
#> 1 FEMALE NON-SMOKER PREFERRED 9 7.74
#> 2 FEMALE NON-SMOKER SELECT 22 20.7
#> 3 FEMALE NON-SMOKER STANDARD 64 47.9
#> 4 FEMALE SMOKER PREFERRED 3 2.86
#> 5 FEMALE SMOKER SELECT 8 7.68
#> 6 FEMALE SMOKER STANDARD 28 20.3
#> 7 MALE NON-SMOKER PREFERRED 17 10.7
#> 8 MALE NON-SMOKER SELECT 32 24.2
#> 9 MALE NON-SMOKER STANDARD 97 67.6
#> 10 MALE SMOKER PREFERRED 7 4.48
#> 11 MALE SMOKER SELECT 18 10.4
#> 12 MALE SMOKER STANDARD 44 27.6
#> # ℹ 6 more variables: EXPOSURE <dbl>, VARIANCE_DEATHS <dbl>,
#> # PROP_ACTUAL_DEATHS <dbl>, PROP_EXPECTED_DEATHS <dbl>, PROP_EXPOSURE <dbl>,
#> # PROP_VARIANCE_DEATHS <dbl>
#>
#>
#>
#> $FORMATTED
#> $FORMATTED$METRICS
#> $FORMATTED$METRICS$AGGREGATE
#> # A tibble: 1 × 7
#> ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS ACTUAL_TO_EXPECTED
#> * <chr> <chr> <chr> <chr> <chr>
#> 1 349.00 252.12 14,264.29 251.66 138.43%
#> # ℹ 2 more variables: ACTUAL_TO_EXPOSED <chr>, EXPECTED_TO_EXPOSED <chr>
#>
#> $FORMATTED$METRICS$`BY GENDER`
#> # A tibble: 2 × 8
#> GENDER ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <chr> <chr> <chr> <chr>
#> 1 FEMALE 134.00 107.18 6,098.01 106.99
#> 2 MALE 215.00 144.93 8,166.29 144.67
#> # ℹ 3 more variables: ACTUAL_TO_EXPECTED <chr>, ACTUAL_TO_EXPOSED <chr>,
#> # EXPECTED_TO_EXPOSED <chr>
#>
#> $FORMATTED$METRICS$`BY SMOKING_STATUS`
#> # A tibble: 2 × 8
#> SMOKING_STATUS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <chr> <chr> <chr> <chr>
#> 1 NON-SMOKER 241.00 178.72 9,955.55 178.39
#> 2 SMOKER 108.00 73.40 4,308.74 73.27
#> # ℹ 3 more variables: ACTUAL_TO_EXPECTED <chr>, ACTUAL_TO_EXPOSED <chr>,
#> # EXPECTED_TO_EXPOSED <chr>
#>
#> $FORMATTED$METRICS$`BY UNDERWRITING_CLASS`
#> # A tibble: 3 × 8
#> UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <chr> <chr> <chr> <chr>
#> 1 PREFERRED 36.00 25.74 1,579.12 25.70
#> 2 SELECT 80.00 62.95 3,534.39 62.84
#> 3 STANDARD 233.00 163.43 9,150.78 163.12
#> # ℹ 3 more variables: ACTUAL_TO_EXPECTED <chr>, ACTUAL_TO_EXPOSED <chr>,
#> # EXPECTED_TO_EXPOSED <chr>
#>
#> $FORMATTED$METRICS$`BY GENDER AND SMOKING_STATUS`
#> # A tibble: 4 × 9
#> GENDER SMOKING_STATUS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <fct> <chr> <chr> <chr> <chr>
#> 1 FEMALE NON-SMOKER 95.00 76.32 4,293.55 76.18
#> 2 FEMALE SMOKER 39.00 30.87 1,804.46 30.82
#> 3 MALE NON-SMOKER 146.00 102.40 5,662.01 102.22
#> 4 MALE SMOKER 69.00 42.53 2,504.28 42.45
#> # ℹ 3 more variables: ACTUAL_TO_EXPECTED <chr>, ACTUAL_TO_EXPOSED <chr>,
#> # EXPECTED_TO_EXPOSED <chr>
#>
#> $FORMATTED$METRICS$`BY GENDER AND UNDERWRITING_CLASS`
#> # A tibble: 6 × 9
#> GENDER UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE
#> * <fct> <fct> <chr> <chr> <chr>
#> 1 FEMALE PREFERRED 12.00 10.60 626.27
#> 2 FEMALE SELECT 30.00 28.38 1,601.94
#> 3 FEMALE STANDARD 92.00 68.20 3,869.80
#> 4 MALE PREFERRED 24.00 15.14 952.86
#> 5 MALE SELECT 50.00 34.57 1,932.45
#> 6 MALE STANDARD 141.00 95.23 5,280.98
#> # ℹ 4 more variables: VARIANCE_DEATHS <chr>, ACTUAL_TO_EXPECTED <chr>,
#> # ACTUAL_TO_EXPOSED <chr>, EXPECTED_TO_EXPOSED <chr>
#>
#> $FORMATTED$METRICS$`BY SMOKING_STATUS AND UNDERWRITING_CLASS`
#> # A tibble: 6 × 9
#> SMOKING_STATUS UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE
#> * <fct> <fct> <chr> <chr> <chr>
#> 1 NON-SMOKER PREFERRED 26.00 18.40 1,134.17
#> 2 NON-SMOKER SELECT 54.00 44.87 2,452.96
#> 3 NON-SMOKER STANDARD 161.00 115.45 6,368.42
#> 4 SMOKER PREFERRED 10.00 7.34 444.95
#> 5 SMOKER SELECT 26.00 18.08 1,081.44
#> 6 SMOKER STANDARD 72.00 47.97 2,782.35
#> # ℹ 4 more variables: VARIANCE_DEATHS <chr>, ACTUAL_TO_EXPECTED <chr>,
#> # ACTUAL_TO_EXPOSED <chr>, EXPECTED_TO_EXPOSED <chr>
#>
#> $FORMATTED$METRICS$`BY GENDER, SMOKING_STATUS, AND UNDERWRITING_CLASS`
#> # A tibble: 12 × 10
#> GENDER SMOKING_STATUS UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS
#> * <fct> <fct> <fct> <chr> <chr>
#> 1 FEMALE NON-SMOKER PREFERRED 9.00 7.74
#> 2 FEMALE NON-SMOKER SELECT 22.00 20.70
#> 3 FEMALE NON-SMOKER STANDARD 64.00 47.88
#> 4 FEMALE SMOKER PREFERRED 3.00 2.86
#> 5 FEMALE SMOKER SELECT 8.00 7.68
#> 6 FEMALE SMOKER STANDARD 28.00 20.33
#> 7 MALE NON-SMOKER PREFERRED 17.00 10.66
#> 8 MALE NON-SMOKER SELECT 32.00 24.17
#> 9 MALE NON-SMOKER STANDARD 97.00 67.58
#> 10 MALE SMOKER PREFERRED 7.00 4.48
#> 11 MALE SMOKER SELECT 18.00 10.40
#> 12 MALE SMOKER STANDARD 44.00 27.65
#> # ℹ 5 more variables: EXPOSURE <chr>, VARIANCE_DEATHS <chr>,
#> # ACTUAL_TO_EXPECTED <chr>, ACTUAL_TO_EXPOSED <chr>,
#> # EXPECTED_TO_EXPOSED <chr>
#>
#>
#> $FORMATTED$PROPORTIONS
#> $FORMATTED$PROPORTIONS$AGGREGATE
#> # A tibble: 1 × 8
#> ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS PROP_ACTUAL_DEATHS
#> * <chr> <chr> <chr> <chr> <chr>
#> 1 349.00 252.12 14,264.29 251.66 100%
#> # ℹ 3 more variables: PROP_EXPECTED_DEATHS <chr>, PROP_EXPOSURE <chr>,
#> # PROP_VARIANCE_DEATHS <chr>
#>
#> $FORMATTED$PROPORTIONS$`BY GENDER`
#> # A tibble: 2 × 9
#> GENDER ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <chr> <chr> <chr> <chr>
#> 1 FEMALE 134.00 107.18 6,098.01 106.99
#> 2 MALE 215.00 144.93 8,166.29 144.67
#> # ℹ 4 more variables: PROP_ACTUAL_DEATHS <chr>, PROP_EXPECTED_DEATHS <chr>,
#> # PROP_EXPOSURE <chr>, PROP_VARIANCE_DEATHS <chr>
#>
#> $FORMATTED$PROPORTIONS$`BY SMOKING_STATUS`
#> # A tibble: 2 × 9
#> SMOKING_STATUS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <chr> <chr> <chr> <chr>
#> 1 NON-SMOKER 241.00 178.72 9,955.55 178.39
#> 2 SMOKER 108.00 73.40 4,308.74 73.27
#> # ℹ 4 more variables: PROP_ACTUAL_DEATHS <chr>, PROP_EXPECTED_DEATHS <chr>,
#> # PROP_EXPOSURE <chr>, PROP_VARIANCE_DEATHS <chr>
#>
#> $FORMATTED$PROPORTIONS$`BY UNDERWRITING_CLASS`
#> # A tibble: 3 × 9
#> UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <chr> <chr> <chr> <chr>
#> 1 PREFERRED 36.00 25.74 1,579.12 25.70
#> 2 SELECT 80.00 62.95 3,534.39 62.84
#> 3 STANDARD 233.00 163.43 9,150.78 163.12
#> # ℹ 4 more variables: PROP_ACTUAL_DEATHS <chr>, PROP_EXPECTED_DEATHS <chr>,
#> # PROP_EXPOSURE <chr>, PROP_VARIANCE_DEATHS <chr>
#>
#> $FORMATTED$PROPORTIONS$`BY GENDER AND SMOKING_STATUS`
#> # A tibble: 4 × 10
#> GENDER SMOKING_STATUS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE VARIANCE_DEATHS
#> * <fct> <fct> <chr> <chr> <chr> <chr>
#> 1 FEMALE NON-SMOKER 95.00 76.32 4,293.55 76.18
#> 2 FEMALE SMOKER 39.00 30.87 1,804.46 30.82
#> 3 MALE NON-SMOKER 146.00 102.40 5,662.01 102.22
#> 4 MALE SMOKER 69.00 42.53 2,504.28 42.45
#> # ℹ 4 more variables: PROP_ACTUAL_DEATHS <chr>, PROP_EXPECTED_DEATHS <chr>,
#> # PROP_EXPOSURE <chr>, PROP_VARIANCE_DEATHS <chr>
#>
#> $FORMATTED$PROPORTIONS$`BY GENDER AND UNDERWRITING_CLASS`
#> # A tibble: 6 × 10
#> GENDER UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE
#> * <fct> <fct> <chr> <chr> <chr>
#> 1 FEMALE PREFERRED 12.00 10.60 626.27
#> 2 FEMALE SELECT 30.00 28.38 1,601.94
#> 3 FEMALE STANDARD 92.00 68.20 3,869.80
#> 4 MALE PREFERRED 24.00 15.14 952.86
#> 5 MALE SELECT 50.00 34.57 1,932.45
#> 6 MALE STANDARD 141.00 95.23 5,280.98
#> # ℹ 5 more variables: VARIANCE_DEATHS <chr>, PROP_ACTUAL_DEATHS <chr>,
#> # PROP_EXPECTED_DEATHS <chr>, PROP_EXPOSURE <chr>, PROP_VARIANCE_DEATHS <chr>
#>
#> $FORMATTED$PROPORTIONS$`BY SMOKING_STATUS AND UNDERWRITING_CLASS`
#> # A tibble: 6 × 10
#> SMOKING_STATUS UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS EXPOSURE
#> * <fct> <fct> <chr> <chr> <chr>
#> 1 NON-SMOKER PREFERRED 26.00 18.40 1,134.17
#> 2 NON-SMOKER SELECT 54.00 44.87 2,452.96
#> 3 NON-SMOKER STANDARD 161.00 115.45 6,368.42
#> 4 SMOKER PREFERRED 10.00 7.34 444.95
#> 5 SMOKER SELECT 26.00 18.08 1,081.44
#> 6 SMOKER STANDARD 72.00 47.97 2,782.35
#> # ℹ 5 more variables: VARIANCE_DEATHS <chr>, PROP_ACTUAL_DEATHS <chr>,
#> # PROP_EXPECTED_DEATHS <chr>, PROP_EXPOSURE <chr>, PROP_VARIANCE_DEATHS <chr>
#>
#> $FORMATTED$PROPORTIONS$`BY GENDER, SMOKING_STATUS, AND UNDERWRITING_CLASS`
#> # A tibble: 12 × 11
#> GENDER SMOKING_STATUS UNDERWRITING_CLASS ACTUAL_DEATHS EXPECTED_DEATHS
#> * <fct> <fct> <fct> <chr> <chr>
#> 1 FEMALE NON-SMOKER PREFERRED 9.00 7.74
#> 2 FEMALE NON-SMOKER SELECT 22.00 20.70
#> 3 FEMALE NON-SMOKER STANDARD 64.00 47.88
#> 4 FEMALE SMOKER PREFERRED 3.00 2.86
#> 5 FEMALE SMOKER SELECT 8.00 7.68
#> 6 FEMALE SMOKER STANDARD 28.00 20.33
#> 7 MALE NON-SMOKER PREFERRED 17.00 10.66
#> 8 MALE NON-SMOKER SELECT 32.00 24.17
#> 9 MALE NON-SMOKER STANDARD 97.00 67.58
#> 10 MALE SMOKER PREFERRED 7.00 4.48
#> 11 MALE SMOKER SELECT 18.00 10.40
#> 12 MALE SMOKER STANDARD 44.00 27.65
#> # ℹ 6 more variables: EXPOSURE <chr>, VARIANCE_DEATHS <chr>,
#> # PROP_ACTUAL_DEATHS <chr>, PROP_EXPECTED_DEATHS <chr>, PROP_EXPOSURE <chr>,
#> # PROP_VARIANCE_DEATHS <chr>
#>
#>
#>