Indira Gandhi National Tribal University, Amarkantak

Prof. Ram Dayal Munda Central Library

Online Public Access Catalogue

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Statistical analysis in simple steps using R / by Kiran Pandya, Prashant Joshi, Smruti Bulsari.

By: Contributor(s): Material type: TextTextPublisher: New Delhi, India : Sage Publications India Pvt., Ltd., 2018Description: pages cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789352807109 (print (pb))
Subject(s): DDC classification:
  • 519.50285/536 23 PAN
LOC classification:
  • QA276.4 .P36 2018
Contents:
Introduction -- Data management in R -- Describing data graphically -- Descriptive statistics -- Parametric tests -- Analysis of variance -- Two-way analysis of variance -- Analysis of covariance -- Correlation analysis -- Linear regression analysis -- Nonparametric tests -- Principal components and factor analysis -- Logistic regression -- Cluster analysis -- Multidimensional scaling -- Introduction to time series analysis -- Volatility analysis.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books Prof. Ram Dayal Munda Central Library General Stacks Statistics 519.50285/536 PAN (Browse shelf(Opens below)) Available 74529
Books Books Prof. Ram Dayal Munda Central Library General Stacks Statistics 519.50285/536 PAN (Browse shelf(Opens below)) Available 74530
Books Books Prof. Ram Dayal Munda Central Library General Stacks Statistics 519.50285/536 PAN (Browse shelf(Opens below)) Available 74531
Books Books Prof. Ram Dayal Munda Central Library General Stacks Statistics 519.50285/536 PAN (Browse shelf(Opens below)) Available 74532
Books Books Prof. Ram Dayal Munda Central Library General Stacks Statistics 519.50285/536 PAN (Browse shelf(Opens below)) Available 79563

Includes bibliographical references and index.

Introduction -- Data management in R -- Describing data graphically -- Descriptive statistics -- Parametric tests -- Analysis of variance -- Two-way analysis of variance -- Analysis of covariance -- Correlation analysis -- Linear regression analysis -- Nonparametric tests -- Principal components and factor analysis -- Logistic regression -- Cluster analysis -- Multidimensional scaling -- Introduction to time series analysis -- Volatility analysis.

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