returns a dataframe of quantiles of concentrations and deltaQTcs

returns a dataframe of quantiles of concentrations and deltaQTcs

compute_quantiles_obs_df(
  data,
  xdata_col,
  ydata_col,
  conf_int = 0.9,
  nbins = 10,
  type = 2
)

Arguments

data

A data frame containing C-QT analysis dataset

xdata_col

An unquoted column name for concentration measurements

ydata_col

An unquoted column name for deltaQTc measurements

conf_int

Numeric confidence interval level (default: 0.9)

nbins

Integer number of bins to break independent variable into - OR - a user specified vector for non-uniform binning

type

Algorithm for quantile. Default (2), is SAS quantile algorithm

Value

a tibble of conc, deltaQTC quantiles

Examples

data_proc <- preprocess(cqtkit_data_verapamil)

compute_quantiles_obs_df(data_proc, CONC, deltaQTCF)
#> Warning: Your xdata quantiles had duplicates. Filtering for x values > 0
#> # A tibble: 10 × 11
#>    decile  xdata mean_dv    sd     n    se ci_low ci_high med_y low_p_y high_p_y
#>    <fct>   <dbl>   <dbl> <dbl> <int> <dbl>  <dbl>   <dbl> <dbl>   <dbl>    <dbl>
#>  1 [0,1.…   0     -7.67   9.83   329 0.542  -8.56  -6.77  -7.08   -24.2     7.71
#>  2 (1.55…   3.87  -7.43   9.79    34 1.68  -10.3   -4.59  -8.76   -22.0     7.67
#>  3 (4.9,…   8.11  -8.91  11.3     35 1.92  -12.2   -5.67  -8.40   -31.9     6.99
#>  4 (10.4…  13.3   -3.06  11.1     35 1.88   -6.23   0.121 -1.40   -22.8    14.4 
#>  5 (18.1…  23.5   -7.02  12.2     35 2.06  -10.5   -3.54  -7.20   -31.8    14.6 
#>  6 (27.2…  34     -4.70  11.6     35 1.96   -8.01  -1.38  -1.02   -22.9    11.6 
#>  7 (40.4…  49.4   -4.91   9.75    35 1.65   -7.70  -2.13  -4.33   -18.8    11.5 
#>  8 (56.9…  66.5   -2.40   7.79    35 1.32   -4.62  -0.172 -1.76   -18.0    11.5 
#>  9 (73.9…  87.5   -2.77   8.94    35 1.51   -5.33  -0.216 -2.14   -21.2    13.2 
#> 10 (108,… 153     -0.343  9.25    35 1.56   -2.99   2.30   2.00   -16.1    18.9