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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" )

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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

660

Version

1.18

License

GPL (>= 2)

Maintainer

Abdolreza Mohammadi

Last Published

November 22nd, 2024

Functions in liver (1.18)

house

house data set
conf.mat.plot

Plot Confusion Matrix
risk

Risk data set
kNN.plot

Visualizing the Optimal Number of k
zscore

Z-score scaling of numerical variables
partition

Partition the data
find.na

find.na
liver-package

liver: "Eating the Liver of Data Science"
scaler

Feature scaling
churnTel

churnTel dataset
skewness

Skewness
mae

Mean Absolute Error (MAE)
minmax

Min-Max scaling of numerical variables
marketing

marketing data set
cereal

Cereal data set
accuracy

Average classification accuracy
churnCredit

Churn dataset for Credit Card Customers
bank

Bank marketing data set
advertising

advertising data set
insurance

insurance data set
fertilizer

Fertilizer data set
corona

Corona data set
churn

Churn data set
conf.mat

Confusion Matrix
adult

adult data set
skim

Skim a data frame to get useful summary statistics
kNN

k-Nearest Neighbour Classification
housePrice

housePrice dataset
whiteWines

White wines data set
redWines

Red wines data set
mse

Mean Squared Error (MSE)