| tell {sensitivity} | R Documentation |
tell is used to tell a sensitivity analysis object the results
of the simulations. It is used when the model is not given when
parametring the sensitivity analysis (whith the model=NULL
argument). For example, it is the case when the model is external to
R.
tell(sa, y = NULL)
sa |
the sensitivity analysis object |
y |
the response |
sa is an object returned by a sensitivity analysis function,
such as srcpcc, morris,
sobol,...
y should be a numeric vector.
tell doesn't return anything. It does the sensitivity
analysis, and stores all the results in the variable sa.
# Example of the FAST method
# (one should note the call with model = NULL)
sa <- fast(model = NULL, factors = 8, n = 1000)
# at this stage, only the design of experiment (sa$x) was generated
# the response is computed "manually":
y <- sobol.fun(sa$x) # at this place could be a
# call to an external code
# then, the sensitivity analysis:
tell(sa, y)
print(sa)
# Remark : because the model is a simple R function,
# this example is equivalent to :
## Not run: sa <- fast(model = sobol.fun, factors = 8, n = 1000)