MFSubj: Subject components of mitigated fraction
In MF: Mitigated Fraction

Description Usage Arguments Details Value Author(s) References Examples

Estimates the subject components of the mitigated fraction.

1	MFSubj(formula, data, compare = c("con", "vac"))

`formula`	Formula of the form `y ~ x`, where y is a continuous response and x is a factor with two levels
`data`	Data frame
`compare`	Text vector stating the factor levels - `compare[1]` is the control or reference group to which `compare[2]` is compared

The mitigated fraction is an estimator that quantifies an intervention's effect on reducing the severity of a condition. Since its units are on the probability scale, it is often a good idea to accompany it with an estimator on the original scale of measurement.

The subject components are the individual contributions of the treated subjects to MF, which is the average of the subject components.

a mfcomponents-class data object

David Siev david.siev@aphis.usda.gov

Siev D. (2005). An estimator of intervention effect on disease severity. Journal of Modern Applied Statistical Methods. 4:500–508

x <- MFSubj(lesion ~ group, calflung)
x

#  MF = 0.44 comparing vac to con
#
#  MF Subject Components
#
#    mf.j freq    min.y   max.y
#    1.00    6 0.000030 0.00970
#    0.84    1 0.012500 0.01250
#    0.76    3 0.016650 0.02030
#    0.68    6 0.023250 0.03190
#    0.04    1 0.132100 0.13210
#   -0.04    3 0.144575 0.16325
#   -0.20    2 0.210000 0.21925
#   -0.36    1 0.292000 0.29200
#   -0.52    1 0.356500 0.35650
#   -0.84    1 0.461500 0.46150


mean(x$subj[,'mf.j'])

# [1] 0.44