Exploratory Data Analysis and Data Preparation Tool-Box

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Documentation for package ‘funModeling’ version 1.9.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

funModeling-package	funModeling: Exploratory data analysis, data preparation and model performance
auto_grouping	Reduce cardinality in categorical variable by automatic grouping
categ_analysis	Profiling analysis of categorical vs. target variable
compare_df	Compare two data frames by keys
concatenate_n_vars	Concatenate 'N' variables
convert_df_to_categoric	Convert every column in a data frame to character
coord_plot	Coordinate plot
correlation_table	Get correlation against target variable
cross_plot	Cross-plotting input variable vs. target variable
data_country	People with flu data
data_golf	Play golf
data_integrity	Data integrity
data_integrity_model	Check data integrity model
desc_groups	Profiling categorical variable
desc_groups_rank	Profiling categorical variable (rank)
df_status	Get a summary for the given data frame (o vector).
discretize_df	Discretize a data frame
discretize_get_bins	Get the data frame thresholds for discretization
discretize_rgr	Variable discretization by gain ratio maximization
entropy_2	Computes the entropy between two variables
equal_freq	Equal frequency binning
export_plot	Export plot to jpeg file
fibonacci	Fibonacci series
freq	Frequency table for categorical variables
funModeling	funModeling: Exploratory data analysis, data preparation and model performance
gain_lift	Generates lift and cumulative gain performance table and plot
gain_ratio	Gain ratio
get_sample	Sampling training and test data
hampel_outlier	Hampel Outlier Threshold
heart_disease	Heart Disease Data
information_gain	Information gain
infor_magic	Computes several information theory metrics between two vectors
metadata_models	Metadata models data integrity
plotar	Correlation plots
plot_num	Plotting numerical data
prep_outliers	Outliers Data Preparation
profiling_num	Profiling numerical data
range01	Transform a variable into the [0-1] range
status	Get a summary for the given data frame (o vector).
tukey_outlier	Tukey Outlier Threshold
var_rank_info	Importance variable ranking based on information theory
v_compare	Compare two vectors