Sample simulated data for Emax exposure-response models with covariates.

Sample simulated data for Emax exposure-response models with covariates.

Usage

emax_df

Format

A data frame with columns:

id

Identifier column

dose

Nominal dose, units not specified

exp_1

Exposure value, units and metric not specified

exp_2

Exposure value, units and metric not specified, but different from exp_1

rsp_1

Continuous response value (units not specified)

rsp_2

Binary response value (group labels not specified)

cnt_a

Continuous valued covariate

cnt_b

Continuous valued covariate

cnt_c

Continuous valued covariate

bin_d

Binary valued covariate

bin_e

Binary valued covariate

cat_f

Categorical covariate

Details

This simulated dataset is entirely synthetic. It is a generic data set that can be used to illustrate Emax modeling. It contains variables corresponding to dose and exposure, and includes both a continuous response variable and a binary response variable. Three continuous valued covariates are included, along with two binary covariates.

You can find the data generating code in the package source code, under R/data.R

Examples

emax_df
#> # A tibble: 400 × 12
#>       id  dose  exp_1  exp_2 rsp_1 rsp_2 cnt_a cnt_b cnt_c bin_d bin_e cat_f
#>    <int> <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <fct>
#>  1     1   200 12332. 13004. 15.7      1  3.85  5.89  4.31     1     1 grp 1
#>  2     2   300 18232. 17244. 15.3      1  4.78  7.25  3.73     1     1 grp 1
#>  3     3     0     0      0   5.65     0  1.22  9.24  2.41     1     1 grp 1
#>  4     4   200  9394.  8839. 12.5      0  2.68  7.14  3.76     1     1 grp 2
#>  5     5   200  7088.  9827. 13.2      1  4.27  5.57  9.05     0     1 grp 2
#>  6     6   300 30402. 28483. 16.8      1  6.09  6.08  4.62     0     1 grp 1
#>  7     7   300 21679. 17137. 17.4      1  7.5   8.1   2.08     0     1 grp 3
#>  8     8   100 15506. 13377. 15.9      0  3.65  6.89  3.56     0     1 grp 1
#>  9     9     0     0      0   7.3      0  4.84  3.77  7.44     0     1 grp 2
#> 10    10   200  5331.  5251. 12.8      1  4.45  3.42  1.66     1     0 grp 3
#> # ℹ 390 more rows