Man pages for funModeling
Exploratory Data Analysis and Data Preparation Tool-Box

auto_groupingReduce cardinality in categorical variable by automatic...
categ_analysisProfiling analysis of categorical vs. target variable
compare_dfCompare two data frames by keys
concatenate_n_varsConcatenate 'N' variables
convert_df_to_categoricConvert every column in a data frame to character
coord_plotCoordinate plot
correlation_tableGet correlation against target variable
cross_plotCross-plotting input variable vs. target variable
data_countryPeople with flu data
data_golfPlay golf
data_integrityData integrity
data_integrity_modelCheck data integrity model
desc_groupsProfiling categorical variable
desc_groups_rankProfiling categorical variable (rank)
df_statusGet a summary for the given data frame (o vector).
discretize_dfDiscretize a data frame
discretize_get_binsGet the data frame thresholds for discretization
discretize_rgrVariable discretization by gain ratio maximization
entropy_2Computes the entropy between two variables
equal_freqEqual frequency binning
export_plotExport plot to jpeg file
fibonacciFibonacci series
freqFrequency table for categorical variables
funModeling-packagefunModeling: Exploratory data analysis, data preparation and...
gain_liftGenerates lift and cumulative gain performance table and plot
gain_ratioGain ratio
get_sampleSampling training and test data
hampel_outlierHampel Outlier Threshold
heart_diseaseHeart Disease Data
infor_magicComputes several information theory metrics between two...
information_gainInformation gain
metadata_modelsMetadata models data integrity
plotarCorrelation plots
plot_numPlotting numerical data
prep_outliersOutliers Data Preparation
profiling_numProfiling numerical data
range01Transform a variable into the [0-1] range
statusGet a summary for the given data frame (o vector).
tukey_outlierTukey Outlier Threshold
var_rank_infoImportance variable ranking based on information theory
v_compareCompare two vectors
funModeling documentation built on July 1, 2020, 5:40 p.m.