View source: R/imputeCensored.R
impute | R Documentation |
Impute value for multiply censored data.
impute(x, imputeOption = "mid")
x |
vector of type survival::Surv |
imputeOption |
imputation method [default= "mid"], valid impute options are "lower", "upper", "mid", "norm", "lnorm" |
The imputeOption values of "lower"
, "upper"
and "mid"
impute the lower limit, upper limit, and midpoint between the lower and upper
limit. In the context of typical water quality data, these options would be
equivalent to zero, detection limit and 1/2 detection limit substitution.
Options for substituting the normal ["norm"
] or lognormal
["lnorm"
] expectation can also be used.
vector where x is transformed into a simple numeric variable
makeSurvDF
, unSurvDF
, unSurv
, imputeDF
, imputeDF
,
## Not run:
x <- dataCensored[1:20,"tdp"]
x.lower <- impute(x,'lower')
x.mid <- impute(x,'mid')
x.upper <- impute(x,'upper')
x.norm <- impute(x,'norm')
x.lnorm <- impute(x,'lnorm')
## End(Not run)
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