Convert coverage predictions to a data.frame

Converts the 3D draws array of an imugap_predict object into a long-format data.frame containing iteration, chain, target metadata, and a coverage column.

Usage

# S3 method for class 'imugap_predict'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

Arguments

x

an imugap_predict object returned by [predict()].

row.names

NULL or a character vector giving the row names for the data frame.

optional

logical. If TRUE, setting row names and converting column names is optional.

...

additional arguments (currently ignored).

Value

A data.table with columns iteration, chain, the target metadata columns, and coverage.

Examples

# Load example prediction object
data("predict_sim", package = "imuGAP")

# Convert predictions to a data.frame/data.table
df <- as.data.frame(predict_sim)
head(df)
#>    iteration chain obs_c_id loc_id   age cohort  dose weight loc_c_id obs_id
#>        <int> <int>    <int> <char> <int>  <num> <num>  <num>    <int>  <int>
#> 1:         1     1        1  State     1     30     1      1        1      1
#> 2:         2     1        1  State     1     30     1      1        1      1
#> 3:         3     1        1  State     1     30     1      1        1      1
#> 4:         4     1        1  State     1     30     1      1        1      1
#> 5:         5     1        1  State     1     30     1      1        1      1
#> 6:         6     1        1  State     1     30     1      1        1      1
#>    coverage
#>       <num>
#> 1:        0
#> 2:        0
#> 3:        0
#> 4:        0
#> 5:        0
#> 6:        0