prepDatForPredict: Exclude rows with missing data on predictor variables
In BMSC: Bayesian Model Selection under Constraints
Description
Usage
Arguments
Details
Value
View source: R/method_predict.R
Description
Rows with missing values on predictor variables are excluded.
An unused column for the dependent variable is added to avoid errors.
Usage
1
prepDatForPredict(formula, newdata)
Arguments
formula
Model formula
newdata
data.frame containing all variables that appear in the model
Details
A column of ones for the dependent variable is added. Otherwise
model.matrix tries to take it from the formula's
environment, which is the original data. This usually results in an error due
to unequal variable length. This column is however not used.
Value
Object of class na.exclude
BMSC documentation built on Aug. 2, 2019, 5:05 p.m.
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Description Usage Arguments Details Value
View source: R/method_predict.R
Description
Rows with missing values on predictor variables are excluded. An unused column for the dependent variable is added to avoid errors.
Usage
1 | prepDatForPredict(formula, newdata)
|
Arguments
formula |
Model formula |
newdata |
data.frame containing all variables that appear in the model |
Details
A column of ones for the dependent variable is added. Otherwise
model.matrix tries to take it from the formula's
environment, which is the original data. This usually results in an error due
to unequal variable length. This column is however not used.
Value
Object of class na.exclude
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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