eval.factors: eval.factors

Description Usage Arguments Value Author(s) See Also

View source: R/ShedsHT.R

Description

Assigns distributions for each relevant exposure factor for each theoretical persons to be modeled in SHEDS.HT.

Usage

1
eval.factors(r, q, ef)

Arguments

r

Vector of row numbers, equivalent to the number of theoretical people in the model sample. This input is created internally by the add.factors function.

q

User-specified list of desired quantiles to be included in the output.

ef

Distributional parameters for the exposure factors; an output of the exp.factors function and an input argument to the add.factors function

Value

z A data frame specifying the form of the distribution and relevant parameters for each combination of exposure factor and individual person. The parameters include:

form

The form of the distribution for each exposure factor (i.e., point, triangle).

par1-par4

The parameters associated with the distributional form specified in form.

lower.trun

the lower limit of values to be included in the distribution.

upper.trun

The upper limit of values to be included in the distribution.

resamp

Logical field where: yes=resample, no=stack at truncation bounds.

q

The quantiles of the distribution corresponding to those specified by the user in the q input.

p

The probabilities associated with the quantiles.

v

The values associated with the quantiles.

Author(s)

Krisin Isaacs, Graham Glen

See Also

add.factors, exp.factors


HumanExposure/SHEDSDevel documentation built on Oct. 30, 2019, 6:49 p.m.