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R Packages by Datanovia
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R PACKAGES



Datanovia, founded by Alboukadel Kassambara, is dedicated to data mining and
statistics for decision support.

Here, you will find the documentation of R packages and tools developped by
Datanovia.


GGPUBR: GGPLOT2’ BASED PUBLICATION READY PLOTS

ggplot2 by Hadley Wickham is an excellent and flexible package for elegant data
visualization in R. However the default generated plots requires some formatting
before we can send them for publication. Furthermore, to customize a ggplot, the
syntax is opaque and this raises the level of difficulty for researchers with no
advanced R programming skills.

The ‘ggpubr’ package provides some easy-to-use functions for creating and
customizing ‘ggplot2’- based publication ready plots.



Package Site Link >

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FACTOEXTRA : EXTRACT AND VISUALIZE THE RESULTS OF MULTIVARIATE DATA ANALYSES

Provides some easy-to-use functions to extract and visualize the output of
multivariate data analyses, including:

 * PCA: Principal Component Analysis,
 * CA: Correspondence Analysis
 * MCA: Multiple Correspondence Analysis
 * FAMD: Factor Analysis of Mixed Data
 * MFA: Multiple Factor Analysis
 * HMFA: Hierarchical Multiple Factor Analysis.

It contains also functions for simplifying some clustering analysis steps and
provides ‘ggplot2’ - based elegant data visualization.



Package Site Link >

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SURVMINER: DRAWING SURVIVAL CURVES USING GGPLOT2

Contains the function ggsurvplot()‘for drawing easily beautiful and
’ready-to-publish’ survival curves with the ‘number at risk’ table and
‘censoring count plot’. Other functions are also available to plot adjusted
curves for Cox model and to visually examine ‘Cox’ model assumptions.



Package Site Link >

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GGCORRPLOT: VISUALIZATION OF A CORRELATION MATRIX USING GGPLOT2

The ggcorrplot package can be used to visualize easily a correlation matrix
using ggplot2. It provides a solution for reordering the correlation matrix and
displays the significance level on the correlogram. It includes also a function
for computing a matrix of correlation p-values.



Package Site Link >

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RSTATIX: PIPE-FRIENDLY FRAMEWORK FOR BASIC STATISTICAL TESTS IN R

Provides a pipe-friendly framework to perform easily basic statistical tests in
R. The output of each test is automatically transformed into a tidy data frame
to facilitate visualization.



Package Site Link >

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FASTQCR: QUALITY CONTROL OF SEQUENCING DATA

FASTQC is the most widely used tool for evaluating the quality of high
throughput sequencing data. It produces, for each sample, an html report and a
compressed file containing the raw data.

If you have hundreds of samples, you are not going to open up each ‘HTML’ page.
You need some way of looking at these data in aggregate.

fastqcr Provides helper functions to easily parse, aggregate and analyze FastQC
reports for large numbers of samples. It provides a convenient solution for
building a ‘Multi-QC’ report, as well as, a ‘one-sample’ report with result
interpretations.



Package Site Link >

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DATARIUM: DATA BANK FOR STATISTICAL ANALYSES AND VISUALIZATION

Contains data organized by topics: categorical data, regression model, means
comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA.



Package Site Link >

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