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

Usage

emax_df

Format

A data frame with columns:

dose: Nominal dose, units not specified
exposure_1: Exposure value, units and metric not specified
exposure_2: Exposure value, units and metric not specified, but different from exposure_1
response_1: Continuous response value (units not specified)
response_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

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 × 10
#>     dose exposure_1 exposure_2 response_1 response_2 cnt_a cnt_b cnt_c bin_d
#>    <dbl>      <dbl>      <dbl>      <dbl>      <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1     0          0          0       6.49          0  3.06  6.50 5.93      0
#>  2     0          0          0       7.81          0  5.72  3.84 5.60      0
#>  3     0          0          0       7.26          0  4.31  3.68 8.16      0
#>  4     0          0          0       7.45          0  4.03  2.86 9.38      1
#>  5     0          0          0       6.33          0  2.46  3.36 8.29      0
#>  6     0          0          0       7.13          0  4.87  8.90 7.06      0
#>  7     0          0          0       6.07          0  2.87  4.85 0.989     0
#>  8     0          0          0       5.47          1  1.07  5.34 3.34      1
#>  9     0          0          0       7.12          0  3.94  5.68 4.01      1
#> 10     0          0          0       8.21          1  7.46  8.16 6.92      1
#> # ℹ 390 more rows
#> # ℹ 1 more variable: bin_e <dbl>