Comments (3)
The solutions are
1: Create a separate S3 method for PopMiss
, i.e. PopMiss.Date
and populate the missing values as default origin
(e.g. 1960-01-01
)
2: Change the PopMiss.data.frame
and PopMiss.data.table
to deal with the date
variable replacement separately.
from dataman.
Fixed as in v0.4.2 by using the same method for factor
.
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y <- as.Date(c("02/27/92", "02/27/92", "01/14/92", "02/28/92", "02/01/92"),"%m/%d/%y")
y[3] <- NA
PopMiss(y,na.treatment="replace",as.Date(15103, origin="1970-01-01"))
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