compute_quantiles_obs_df

Description

returns a dataframe of quantiles of concentrations and deltaQTcs

Usage

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

Arguments

Name	Description
`data`	a dataframe of QTc Dataset
`xdata_col`	an unquoted column name of concentration measurements
`ydata_col`	an unquoted column name of deltaQTc measurements
`conf_int`	confidence 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

Returns

a tibble of conc, deltaQTC quantiles

Examples

data <- preprocess(data)

 compute_quantiles_obs_df(data, CONC, deltaQTCF)

# A tibble: 10 × 11
   decile   xdata  meany    SD     N    SE  low_y high_y  med_y low_p_y high_p_y
   <fct>    <dbl>  <dbl> <dbl> <int> <dbl>  <dbl>  <dbl>  <dbl>   <dbl>    <dbl>
 1 [0,1.5…   0    -7.71   9.84   329 0.542  -8.61 -6.82  -7.07    -24.2     7.72
 2 (1.55,…   3.87 -7.36   9.76    34 1.67  -10.2  -4.53  -8.68    -21.3     7.77
 3 (4.9,1…   8.11 -8.78  11.2     35 1.89  -12.0  -5.58  -8.42    -30.7     7.11
 4 (10.4,…  13.3  -2.96  11.0     35 1.87   -6.12  0.190 -1.47    -22.2    14.3
 5 (18.1,…  23.5  -6.90  12.1     35 2.04  -10.3  -3.45  -6.61    -31.6    14.6
 6 (27.2,…  34    -4.66  11.5     35 1.95   -7.95 -1.37  -0.855   -23.0    11.6
 7 (40.4,…  49.4  -4.83   9.63    35 1.63   -7.59 -2.08  -4.33    -18.9    11.4
 8 (56.9,…  66.5  -2.32   7.60    35 1.28   -4.49 -0.143 -1.65    -16.9    11.5
 9 (73.9,…  87.5  -2.67   8.68    35 1.47   -5.15 -0.190 -1.98    -20.2    13.3
10 (108,3… 153    -0.245  9.16    35 1.55   -2.86  2.37   1.96    -15.0    19.0