FI_train | R Documentation |
Larger simulated dataset drawn from the same distribution as FI_test and FI_true and used to train the imputation algorithm. 5% of the values are missing. Used with TrainFastImputation.
data(FI_train)
A data frame with 9 variables and 10000 observations.
user_id_1
Sequential user ids
bounded_below_2
Multivariate normal, transformed using exp(x)
unbounded_3
Multivariate normal
unbounded_4
Multivariate normal
bounded_above_5
Multivariate normal, transformed using -exp(x)
bounded_above_and_below_6
Multivariate normal, transformed using pnorm(x)
unbounded_7
Multivariate normal
unbounded_8
Multivariate normal
categorical_9
"A" if the first of three multivariate normal draws is greatest; "B" if the second is greatest; "C" if the third is greatest
Stephen R. Haptonstahl srh@haptonstahl.org
All columns start as multivariate normal draws. Columns 2, 5, and 6 are transformed. Column 9 is the result of three multivariate normal columns being interpreted as one-hot encoding of a three-valued categorical variable.
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