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AnalysisLin  

Exploratory Data Analysis
View on CRAN: Click here


Download and install AnalysisLin package within the R console
Install from CRAN:
install.packages("AnalysisLin")

Install from Github:
library("remotes")
install_github("cran/AnalysisLin")

Install by package version:
library("remotes")
install_version("AnalysisLin", "0.1.2")



Attach the package and use:
library("AnalysisLin")
Maintained by
Zhiwei Lin
[Scholar Profile | Author Map]
First Published: 2024-01-27
Latest Update: 2024-01-30
Description:
A quick and effective data exploration toolkit. It provides essential features, including a descriptive statistics table for a quick overview of your dataset, interactive distribution plots to visualize variable patterns, Principal Component Analysis for dimensionality reduction and feature analysis, missing value imputation methods, and correlation analysis.
How to cite:
Zhiwei Lin (2024). AnalysisLin: Exploratory Data Analysis. R package version 0.1.2, https://cran.r-project.org/web/packages/AnalysisLin. Accessed 21 Feb. 2025.
Previous versions and publish date:
0.1.0 (2024-01-27 13:50), 0.1.1 (2024-01-30 00:30)
Other packages that cited AnalysisLin R package
View AnalysisLin citation profile
Other R packages that AnalysisLin depends, imports, suggests or enhances
Complete documentation for AnalysisLin
Functions, R codes and Examples using the AnalysisLin R package
Some associated functions: bar_plot . corr_cluster . corr_matrix . dens_plot . desc_stat . hist_plot . impute_missing . missing_values_plot . pca . pie_plot . qq_plot . 
Some associated R codes: corr_cluster.R . corr_matrix.R . desc_stat.R . dist_plot.R . missing_impute.R . missing_plot.R . pca.R .  Full AnalysisLin package functions and examples
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