hesim (version 0.5.5)

as.data.table.tparams_transprobs: Coerce to data.table

Description

Creates a data.table that combines the transition probability matrices and ID variables from a tparams_transprobs object. This is often useful for debugging.

Usage

# S3 method for tparams_transprobs
as.data.table(x, ..., prefix = "prob_", sep = "_", long = FALSE)

Value

The output always contains columns for the ID variables and the transition probabilities, but the form depends on on the long argument. If FALSE, then a data.table with one row for each transition probability matrix is returned; otherwise, the data.table contains one row for each transition and columns from (the state being transitioned from) and to (the state being transitioned to) are added.

Arguments

x

A tparams_transprobs object.

...

Currently unused.

prefix, sep

Arguments passed to tpmatrix_names() for naming the transition probability columns. The states argument is based on the column names (i.e., names of the second dimension) of the $value element of x; if NULL, then states are named s1, ..., sh where h is the number of states. Only used if long = FALSE.

long

If TRUE, then output is returned in a longer format with one row for each transition; if FALSE, then each row contains an entire flattened transition probability matrix.

See Also

tparams_transprobs()

Examples

# Create tparams_transprobs object
hesim_dat <- hesim_data(strategies = data.frame(strategy_id = 1:2),
                        patients = data.frame(patient_id = 1:3))
input_data <- expand(hesim_dat, by = c("strategies", "patients"))    
tpmat_id <- tpmatrix_id(input_data, n_samples = 2)      
p_12 <- runif(nrow(tpmat_id), .6, .7) + 
  .05 * (tpmat_id$strategy_id == 2)
tpmat <- tpmatrix(
  C, p_12,
  0, 1
)
tprobs <- tparams_transprobs(tpmat, tpmat_id)

# Convert to data.table in "wide" format
as.data.table(tprobs)
as.data.table(tprobs, prefix = "")
as.data.table(tprobs, prefix = "", sep = ".")

# Convert to data.table in "long: format
as.data.table(tprobs, long = TRUE)