Statistical analyses of several clinical analytes described in ANALYTES.

ANALYTES_STATS

Format

A list of data.frame objects with names "timewise" (trained vs. SED comparisons) and "MvF" (male vs. female comparisons).

Details

See vignette("ANALYTES_STATS") for details.

Examples

head(ANALYTES_STATS$timewise) # trained vs. SED comparisons
#> # A tibble: 6 × 16
#>   response contrast sex    ratio    SE    df  null statistic_type statistic
#>   <chr>    <fct>    <fct>  <dbl> <dbl> <dbl> <dbl> <chr>              <dbl>
#> 1 Glucagon 1W / SED Female 0.920 0.199    49     1 t.ratio           -0.387
#> 2 Glucagon 2W / SED Female 0.891 0.202    49     1 t.ratio           -0.510
#> 3 Glucagon 4W / SED Female 0.487 0.105    49     1 t.ratio           -3.33 
#> 4 Glucagon 8W / SED Female 0.640 0.138    49     1 t.ratio           -2.07 
#> 5 Glucagon 1W / SED Male   0.887 0.192    49     1 t.ratio           -0.554
#> 6 Glucagon 2W / SED Male   0.799 0.173    49     1 t.ratio           -1.04 
#> # ℹ 7 more variables: p.value <dbl>, signif <ord>, model_type <chr>,
#> #   obs_removed <chr>, formula <chr>, family <chr>, weights <chr>
head(ANALYTES_STATS$MvF) # male vs. female comparisons
#> # A tibble: 6 × 16
#>   response contrast  timepoint ratio     SE    df  null statistic_type statistic
#>   <chr>    <fct>     <fct>     <dbl>  <dbl> <dbl> <dbl> <chr>              <dbl>
#> 1 Glucagon Male / F… SED       0.336 0.0725    49     1 t.ratio            -5.05
#> 2 Glucagon Male / F… 1W        0.324 0.0700    49     1 t.ratio            -5.22
#> 3 Glucagon Male / F… 2W        0.301 0.0683    49     1 t.ratio            -5.30
#> 4 Glucagon Male / F… 4W        0.644 0.139     49     1 t.ratio            -2.04
#> 5 Glucagon Male / F… 8W        0.630 0.136     49     1 t.ratio            -2.14
#> 6 Glucose  Male / F… SED       1.28  0.0727    50     1 t.ratio             4.35
#> # ℹ 7 more variables: p.value <dbl>, signif <ord>, model_type <chr>,
#> #   obs_removed <chr>, formula <chr>, family <chr>, weights <chr>