compute_grouped_mean_sd

Description

computes a 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

Name	Description
`data`	a dataframe containing QT dataset
`dv_col`	an unquoted column name of dependent variable
`ntime_col`	an unquoted column name of the Time group
`dose_col`	an unquoted column name dose group
`group_col`	an unquoted column of optional grouping column
`reference_dose`	an optional DOSE of reference measurements
`conf_int`	confidence interval default 0.95

Returns

a dataframe of the dv averaged over the grouped time and dose

Examples

data <- preprocess(data)
 data <- dplyr::mutate(data, DOSEF = as.factor(DOSEF))

 compute_grouped_mean_sd(
   data, deltaQTCF, NTLD, DOSE, reference_dose = 0
 )

# A tibble: 30 × 17
# Groups:   time [15]
    time  dose meanDV  sdDV geomeanDV geosdDV     n  seDV CI_low   CI_up group
   <dbl> <dbl>  <dbl> <dbl> <lgl>     <lgl>   <int> <dbl>  <dbl>   <dbl> <chr>
 1   0.5     0 -8.28   6.43 NA        NA         22  1.37 -11.1  -5.42   0
 2   0.5   120 -5.74   6.13 NA        NA         21  1.34  -8.53 -2.95   120
 3   1       0 -5.45   7.04 NA        NA         22  1.50  -8.57 -2.33   0
 4   1     120 -0.219  7.96 NA        NA         21  1.74  -3.84  3.41   120
 5   1.5     0 -5.46   6.77 NA        NA         22  1.44  -8.46 -2.46   0
 6   1.5   120 -4.08   8.27 NA        NA         21  1.80  -7.84 -0.320  120
 7   2       0 -2.39   5.21 NA        NA         22  1.11  -4.70 -0.0797 0
 8   2     120  1.56   8.43 NA        NA         21  1.84  -2.28  5.40   120
 9   2.5     0 -4.09   9.71 NA        NA         22  2.07  -8.40  0.215  0
10   2.5   120  0.936 10.2  NA        NA         21  2.23  -3.72  5.59   120
# ℹ 20 more rows
# ℹ 6 more variables: mean_delta_DV <dbl>, geomean_delta_DV <int>,
#   delta_SD <dbl>, delta_SE <dbl>, CI_low_delta <dbl>, CI_up_delta <dbl>