The object returned by this function can be passed to
owsa to do a one-way sensitivity analysis on each
parameter of interest.
create_dsa_twoway(
parameters,
effectiveness = NULL,
strategies,
cost = NULL,
currency = "$",
other_outcome = NULL
)parameter values associated with effectiveness and outcomes. The table must have two columns, one for each parameter. The parameter names must be the column names.
| param1 name | param2 name |
| param1 val1 | param2 val1 |
| param1 val2 | param2 val2 |
| ... | ... |
data frames containing data for costs,
effectiveness or another outcome (user-defined), respectively.
Each simulation should be a row of the data frame, and each strategy should be a column.
Naming the columns of the data frames is not necessary, as they will be renamed with
the strategies vector.
vector with the names of the strategies. Due to requirements in
certain uses of this vector, this function uses make.names to modify
strategy names as necessary. It is strongly suggested that you follow the rules
in the make.names help page, to avoid unexpected errors.
data frames containing data for costs,
effectiveness or another outcome (user-defined), respectively.
Each simulation should be a row of the data frame, and each strategy should be a column.
Naming the columns of the data frames is not necessary, as they will be renamed with
the strategies vector.
symbol for the currency being used (ex. "$", "<U+00A3>")
data frames containing data for costs,
effectiveness or another outcome (user-defined), respectively.
Each simulation should be a row of the data frame, and each strategy should be a column.
Naming the columns of the data frames is not necessary, as they will be renamed with
the strategies vector.
a class dsa_twoway object that can be passed to the twsa function
to visualize the two-way sensitivity analysis contained in the object.