mf.LOCFbyWideData: Simply do LOCF.
In mrmtshmp/ExploratoryDataAnalysis: Make plots for explanatory data analyses
Description
Simply do LOCF.
Usage
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mf.LOCFbyWideData(
paper = ADS.measurement,
ink = ADS.measurement,
mold = df.miss.measurement,
val.Visit
)
Arguments
paper
<object; input> A data frame.
ink
<object; input> A data frame. Typically, same with paper. The columns for visits should be names "vis.INDICATOR-OF-VISITS".
mold
<object; input> A data frame. Missing is 1, otherwise 0. The columns for visits should be names "miss.INDICATOR-OF-VISITS".
val.Visit
<object; proccessing> A numeric vector. Indicators for Visits.
mrmtshmp/ExploratoryDataAnalysis documentation built on Oct. 6, 2020, 8 a.m.
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Description
Simply do LOCF.
Usage
1 2 3 4 5 6 | mf.LOCFbyWideData(
paper = ADS.measurement,
ink = ADS.measurement,
mold = df.miss.measurement,
val.Visit
)
|
Arguments
paper |
<object; input> A data frame. |
ink |
<object; input> A data frame. Typically, same with paper. The columns for visits should be names "vis.INDICATOR-OF-VISITS". |
mold |
<object; input> A data frame. Missing is 1, otherwise 0. The columns for visits should be names "miss.INDICATOR-OF-VISITS". |
val.Visit |
<object; proccessing> A numeric vector. Indicators for Visits. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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