This function uses the MICE methodology to impute missing values.
impute(df, m = 5, iters = 5, seed = 0, quiet = FALSE)
Dataframe. Dataframe to transform
Integer. Number of multiple imputations
Integer. Number of iterations
Integer. Set a seed for reproducibility
Boolean. Keep quiet? (or print replacements)
Other Data Wrangling: balance_data
,
calibrate
, categ_reducer
,
cleanText
, date_feats
,
dateformat
, formatNum
,
formatTime
, holidays
,
left
, normalize
,
numericalonly
, ohse
,
one_hot_encoding_commas
,
rbind_full
, removenacols
,
removenarows
, replaceall
,
right
, textFeats
,
textTokenizer
, vector2text
,
year_month
, year_week
Other Machine Learning: ROC
,
clusterKmeans
, conf_mat
,
export_results
, gain_lift
,
h2o_automl
, h2o_predict_API
,
h2o_predict_MOJO
,
h2o_predict_binary
,
h2o_predict_model
,
h2o_selectmodel
, iter_seeds
,
model_metrics
, mplot_conf
,
mplot_cuts_error
, mplot_cuts
,
mplot_density
, mplot_full
,
mplot_gain
, mplot_importance
,
mplot_lineal
, mplot_metrics
,
mplot_response
, mplot_roc
,
mplot_splits
, msplit