var33 {abn} | R Documentation |
simulated dataset from a DAG comprising of 33 variables
Description
250 observations simulated from a DAG with 17 binary variables and 16 continuous. A DAG of this data features in the vignette. Note that the conditional dependence relations given are those in the population and may differ in the realization of 250 observations.
Usage
var33
Format
A data frame with a mixture of discrete variables each of which is set as a factor and continuous variables. Joint distribution structure used to generate the data.
- v1
Binary, independent.
- v2
Gaussian, conditionally dependent upon v1.
- v3
Binary, independent.
- v4
Binary, conditionally dependent upon v3.
- v5
Gaussian, conditionally dependent upon v6.
- v6
Binary, conditionally dependent upon v4 and v7.
- v7
Gaussian, conditionally dependent upon v8.
- v8
Gaussian, conditionally dependent upon v9.
- v9
Binary, conditionally dependent upon v10.
- v10
Binary, independent.
- v11
Binary, conditionally dependent upon v10, v12 and v19.
- v12
Binary, independent.
- v13
Gaussian, independent.
- v14
Gaussian, conditionally dependent upon v13.
- v15
Binary, conditionally dependent upon v14 and v21.
- v16
Gaussian, independent.
- v17
Gaussian, conditionally dependent upon v16 and v20.
- v18
Binary, conditionally dependent upon v20.
- v19
Binary, conditionally dependent upon v20.
- v20
Binary, independent.
- v21
Binary, conditionally dependent upon v20.
- v22
Gaussian, conditionally dependent upon v21.
- v23
Gaussian, conditionally dependent upon v21.
- v24
Gaussian, conditionally dependent upon v23.
- v25
Gaussian, conditionally dependent upon v23 and v26.
- v26
Binary, conditionally dependent upon v20.
- v27
Binary, independent.
- v28
Binary, conditionally dependent upon v27, v29 and v31.
- v29
Gaussian, independent.
- v30
Gaussian, conditionally dependent upon v29.
- v31
Gaussian, independent.
- v32
Binary, conditionally dependent upon v21, v29 and v31.
- v33
Gaussian, conditionally dependent upon v31.
Examples
## Constructing the DAG of the dataset:
dag33 <- matrix(0, 33, 33)
dag33[2,1] <- 1
dag33[4,3] <- 1
dag33[6,4] <- 1; dag33[6,7] <- 1
dag33[5,6] <- 1
dag33[7,8] <- 1
dag33[8,9] <- 1
dag33[9,10] <- 1
dag33[11,10] <- 1; dag33[11,12] <- 1; dag33[11,19] <- 1;
dag33[14,13] <- 1
dag33[17,16] <- 1; dag33[17,20] <- 1
dag33[15,14] <- 1; dag33[15,21] <- 1
dag33[18,20] <- 1
dag33[19,20] <- 1
dag33[21,20] <- 1
dag33[22,21] <- 1
dag33[23,21] <- 1
dag33[24,23] <- 1
dag33[25,23] <- 1; dag33[25,26] <- 1
dag33[26,20] <- 1
dag33[33,31] <- 1
dag33[33,31] <- 1
dag33[32,21] <- 1; dag33[32,31] <- 1; dag33[32,29] <- 1
dag33[30,29] <- 1
dag33[28,27] <- 1; dag33[28,29] <- 1; dag33[28,31] <- 1