Analyse plausible values in surveys
Repeats an analysis for each of a set of 'plausible values' in a data
set, returning a list suitable for MIcombine
. That is, the data
set contains some sets of columns where each set are multiple
imputations of the same variable. With
rewrite=TRUE
, the action
is rewritten to reference each
plausible value in turn; with coderewrite=FALSE a new data set is
constructed for each plausible value, which is slower but more general.
withPV(mapping, data, action, rewrite=TRUE, ...) ## Default S3 method: withPV(mapping, data, action, rewrite=TRUE,...)
mapping |
A formula or list of formulas describing each variable in the analysis that has plausible values. The left-hand side of the formula is the name to use in the analysis; the right-hand side gives the names in the dataset. |
data |
A data frame. Methods for |
action |
With |
rewrite |
Rewrite |
... |
For methods |
A list of the results returned by each evaluation of action
, with the call as an attribute.
I would be interested in seeing naturally-occurring examples where
rewrite=TRUE
does not work
data(pisamaths) models<-withPV(list(maths~PV1MATH+PV2MATH+PV3MATH+PV4MATH+PV5MATH), data=pisamaths, action= quote(lm(maths~ ST04Q01*(PCGIRLS+SMRATIO)+MATHEFF+OPENPS, data=.DATA)), rewrite=FALSE ) summary(MIcombine(models)) ## equivalently models2<-withPV(list(maths~PV1MATH+PV2MATH+PV3MATH+PV4MATH+PV5MATH), data=pisamaths, action=quote( lm(maths~ST04Q01*(PCGIRLS+SMRATIO)+MATHEFF+OPENPS)), rewrite=TRUE) summary(MIcombine(models2))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.