Sample simulated data for Emax exposure-response models with covariates and placebo
d_sim_placebo.RdSample simulated data for Emax exposure-response models with covariates and placebo
Format
A data frame with columns:
- id
Subject identifier
- dose
Nominal dose, units not specified
- exp_1
Exposure value on metric 1, units and metric not specified
- exp_2
Exposure value on metric 2, units and metric not specified
- 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
Details
This simulated dataset is entirely synthetic. It is a generic data set that can be used to illustrate Emax modeling with placebo data. 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. Data from two exposure metrics are included.
You can find the data generating code in the package source code,
under data-raw/d_sim_placebo.R.
Examples
d_sim_placebo
#> # A tibble: 400 × 11
#> id dose exp_1 exp_2 rsp_1 rsp_2 cnt_a cnt_b cnt_c bin_d bin_e
#> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 0 0 0 6.49 0 3.06 6.50 5.93 0 1
#> 2 2 0 0 0 7.81 0 5.72 3.84 5.60 0 1
#> 3 3 0 0 0 7.26 0 4.31 3.68 8.16 0 0
#> 4 4 0 0 0 7.45 0 4.03 2.86 9.38 1 1
#> 5 5 0 0 0 6.33 0 2.46 3.36 8.29 0 1
#> 6 6 0 0 0 7.13 0 4.87 8.90 7.06 0 0
#> 7 7 0 0 0 6.07 0 2.87 4.85 0.989 0 1
#> 8 8 0 0 0 5.47 1 1.07 5.34 3.34 1 1
#> 9 9 0 0 0 7.12 0 3.94 5.68 4.01 1 1
#> 10 10 0 0 0 8.21 1 7.46 8.16 6.92 1 1
#> # ℹ 390 more rows