Description Usage Arguments Value
Calculate Multiple R-Squared Effect Sizes of an Amelia Object (Multiple Imputation)
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data |
A data frame with missing data, e.g. <my.data.frame> |
num.imp |
A number representing how many imputations the embeded Amelia function will create, e.g. <20> |
dv.list |
A list of characters to be treated as dependent variables in the Amelia object , e.g. <c("dv1")>, (this package currently only supports a single DV) |
num.dv |
A number representing how many dependent variables are in your desired model, e.g. <1>, (currently restircted to 1, but it is included for future version in which multivariate regression will be supported) |
iv.list |
A list of characters to be treated as independent variables in the Amelia object, e.g. <c("iv1","iv2","iv3"), (must match names of variables from the data.frame in the 'data' argument of this function) |
num.iv |
A number representing how many independent variables in your desired model, e.g. <3> |
num.obs |
A number representing how many observations are in the data set, e.g. <420>, (must match the number of rows in the data.frame in the 'data' argument of this function) |
idvars |
A list of characters to be treated as id variables by the embedded Amelia function, e.g. <c("id","year") |
emburn |
A list of numbers representing the minimum and maximum nubmer of iterations the embedded Amelia function should use until convergence is reached by the EM algorithm, e.g. c(5,50) |
Spits out a number that represents the Multiple R-Squared effect size of your imputed data set.
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