Learn R Programming

lares (version 4.7)

impute: Impute Missing Values (using MICE)

Description

This function uses the MICE methodology to impute missing values.

Usage

impute(df, m = 5, iters = 5, seed = 0, quiet = FALSE)

Arguments

df

Dataframe. Dataframe to transform

m

Integer. Number of multiple imputations

iters

Integer. Number of iterations

seed

Integer. Set a seed for reproducibility

quiet

Boolean. Keep quiet? (or print replacements)

See Also

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