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funModeling (version 1.9.4)

Exploratory Data Analysis and Data Preparation Tool-Box

Description

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book () are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

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Version

Install

install.packages('funModeling')

Monthly Downloads

1,622

Version

1.9.4

License

GPL-2

Maintainer

Pablo Casas

Last Published

June 15th, 2020

Functions in funModeling (1.9.4)

data_country

People with flu data
correlation_table

Get correlation against target variable
categ_analysis

Profiling analysis of categorical vs. target variable
convert_df_to_categoric

Convert every column in a data frame to character
coord_plot

Coordinate plot
auto_grouping

Reduce cardinality in categorical variable by automatic grouping
cross_plot

Cross-plotting input variable vs. target variable
compare_df

Compare two data frames by keys
discretize_get_bins

Get the data frame thresholds for discretization
data_golf

Play golf
discretize_rgr

Variable discretization by gain ratio maximization
concatenate_n_vars

Concatenate 'N' variables
get_sample

Sampling training and test data
data_integrity_model

Check data integrity model
gain_ratio

Gain ratio
data_integrity

Data integrity
gain_lift

Generates lift and cumulative gain performance table and plot
range01

Transform a variable into the [0-1] range
entropy_2

Computes the entropy between two variables
status

Get a summary for the given data frame (o vector).
hampel_outlier

Hampel Outlier Threshold
information_gain

Information gain
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
metadata_models

Metadata models data integrity
v_compare

Compare two vectors
tukey_outlier

Tukey Outlier Threshold
infor_magic

Computes several information theory metrics between two vectors
heart_disease

Heart Disease Data
plot_num

Plotting numerical data
plotar

Correlation plots
prep_outliers

Outliers Data Preparation
equal_freq

Equal frequency binning
fibonacci

Fibonacci series
export_plot

Export plot to jpeg file
profiling_num

Profiling numerical data
freq

Frequency table for categorical variables
funModeling-package

funModeling: Exploratory data analysis, data preparation and model performance
var_rank_info

Importance variable ranking based on information theory