
Compute Grouped Mean SD
compute_grouped_mean_sd.RdComputes the mean and standard deviation of the dependent variable data in DV_col grouped by time and dose.
Usage
compute_grouped_mean_sd(
data,
dv_col,
ntime_col,
dose_col,
group_col = NULL,
reference_dose = NULL,
conf_int = 0.95
)Arguments
- data
A data frame containing C-QT analysis dataset
- dv_col
An unquoted column name for dependent variable
- ntime_col
An unquoted column name for the Time group
- dose_col
An unquoted column name for dose group
- group_col
An unquoted column of optional grouping column
- reference_dose
Reference dose value for comparison calculations
- conf_int
Numeric confidence interval level (default: 0.9)
Value
A tibble with mean, SD, SE, and confidence intervals for the dependent variable, grouped by time and dose
Examples
data_proc <- preprocess(cqtkit_data_verapamil)
data_proc <- dplyr::mutate(data_proc, DOSEF = as.factor(DOSEF))
compute_grouped_mean_sd(
data_proc, deltaQTCF, NTLD, DOSE, reference_dose = 0
)
#> # A tibble: 30 × 17
#> # Groups: time [15]
#> time dose mean_dv sd geo_mean_dv geo_sd_dv n se ci_low ci_high
#> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <int> <dbl> <dbl> <dbl>
#> 1 0.5 0 -8.28 6.43 NA NA 22 1.37 -11.1 -5.43
#> 2 0.5 120 -5.86 6.25 NA NA 21 1.36 -8.71 -3.02
#> 3 1 0 -5.43 7.06 NA NA 22 1.50 -8.55 -2.30
#> 4 1 120 -0.271 8.11 NA NA 21 1.77 -3.96 3.42
#> 5 1.5 0 -5.42 6.77 NA NA 22 1.44 -8.42 -2.41
#> 6 1.5 120 -4.20 8.35 NA NA 21 1.82 -8.00 -0.402
#> 7 2 0 -2.28 5.23 NA NA 22 1.11 -4.60 0.0352
#> 8 2 120 1.52 8.61 NA NA 21 1.88 -2.40 5.43
#> 9 2.5 0 -4.07 9.70 NA NA 22 2.07 -8.37 0.234
#> 10 2.5 120 1.01 10.4 NA NA 21 2.28 -3.74 5.76
#> # ℹ 20 more rows
#> # ℹ 7 more variables: group <chr>, mean_delta_dv <dbl>, geomean_delta_dv <int>,
#> # delta_sd <dbl>, delta_se <dbl>, ci_low_delta <dbl>, ci_up_delta <dbl>