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liver

The R package liver offers a suite of helper functions to simplify various data science techniques for non-experts. This package aims to enable individuals with only a minimal level of coding knowledge to become acquainted with these techniques in an accessible manner. Inspired by an ancient Persian idiom, we liken this process to "eating the liver of data science," suggesting a deep and intimate engagement with the field of data science. This package includes functions for tasks such as data partitioning for out-of-sample testing, calculating Mean Squared Error (MSE) to assess prediction accuracy, and data transformations (z-score and min-max). In addition to these helper functions, the 'liver' package also features several intriguing datasets valuable for multivariate analysis.

Installation

To install the latest version of this package from CRAN, do the following from the R console:

install.packages( "liver" )

Loading

library( liver )

Example for Data Analysis

To see how to use the functionality of the package for data analysis:

https://CRAN.R-project.org/package=liver/vignettes/liver-example.html

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Version

Install

install.packages('liver')

Monthly Downloads

495

Version

1.17

License

GPL (>= 2)

Maintainer

Abdolreza Mohammadi

Last Published

October 28th, 2024

Functions in liver (1.17)

churn

Churn data set
churnTel

churnTel dataset
churnCredit

Churn dataset for Credit Card Customers
find.na

find.na
advertising

advertising data set
house

house data set
corona

Corona data set
risk

Risk data set
accuracy

Average classification accuracy
bank

Bank marketing data set
housePrice

housePrice dataset
kNN

k-Nearest Neighbour Classification
conf.mat

Confusion Matrix
conf.mat.plot

Plot Confusion Matrix
marketing

marketing data set
minmax

Min-Max normalization
insurance

insurance data set
kNN.plot

Visualizing the Optimal Number of k
zscore

Z-score normalization
skewness

Skewness
skim

Skim a data frame to get useful summary statistics
adult

adult data set
liver-package

liver: "Eating the Liver of Data Science"
mse

Mean Squared Error (MSE)
mae

Mean Absolute Error (MAE)
partition

Partition the data
transform

Z-score normalization
fertilizer

Fertilizer data set
whiteWines

White wines data set
redWines

Red wines data set
cereal

Cereal data set