An Introduction to R Programming Language

Introduction R is a free, open-source programming language and software environment for statistical computing, bioinformatics, visualization and general computing. R provides a wide variety of statistical and graphical techniques, and is highly extensible. The latest version of R can be obtained from https://cran.r-project.org/bin/windows/base/.    R R for Windows (32/64 bit)    RStudio RStudio    Manual An Introduction to R      Ref Card R Reference Card      New York Times New York Times    Nature Article Nature Article   Slides The Slides may be accessed from Slides.

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Statistics: The Art & Science of Learning from Data

1 Introduction 1.1 Statistics 1.2 Variable 1.3 Measurement 1.4 Measurement Scales 2 Exploring Data with Graphs & Numerical Summaries 2.1 Graphs 2.2 Numerical Summaries 3 Descriptive Statistics 4 Correlation Analysis 5 An Introduction to Linear Models 5.1 Regression Analysis 5.2 Analysis of Variance (ANOVA) 5.3 Analysis of Covariance (ANCOVA) 6 An Introduction to R addClassKlippyTo("pre.r, pre.python"); addKlippy('left', 'top', 'auto', '1', 'Copy code', 'Copied!

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Design & Analysis of Field Experiments using R

Introduction Regression Analysis Simple Linear Regression Example Example Example Multiple Linear Regression Example Polynomial Regression Analysis Example Analysis of Variance (ANOVA) Example Example Analysis of Covariance (ANCOVA) Example Same intercepts but different slopes Different intercepts and different slopes Correlation Analysis Simple Correlation Analysis Example Partial Correlation Analysis Example Multiple Correlation Analysis Example Completely Randomized Design (CRD) Example Randomized Complete Block Design (RCBD) Example Latin Square Design Example Factorial Experiment under RCBD Stability Analysis Individual Analysis of Variance for each Location Combined Analysis of Variance Additive Main Effects and Multiplicative Interaction (AMMI) Analysis Additive Main Effects and Multiplicative Interaction (AMMI) Biplot Analysis Genotype plus Genotypes by Environment (GGE) Interaction Biplot Analysis Introduction R is a free, open-source programming language and software environment for statistical computing, bioinformatics, visualization and general computing.

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Training Course on Capacity Building of NARS Scientists in Advance Analytical Techniques

Introduction Regression Analysis Simple Linear Regression Example Example Example Multiple Linear Regression Example Polynomial Regression Analysis Example Analysis of Variance (ANOVA) Example Example Analysis of Covariance (ANCOVA) Example Same intercepts but different slopes Different intercepts and different slopes Correlation Analysis Simple Correlation Analysis Example Partial Correlation Analysis Example Multiple Correlation Analysis Example Completely Randomized Design (CRD) Example Randomized Complete Block Design (RCBD) Example Latin Square Design Example Factorial Experiment under RCBD Stability Analysis Individual Analysis of Variance for each Location Combined Analysis of Variance Additive Main Effects and Multiplicative Interaction (AMMI) Analysis Additive Main Effects and Multiplicative Interaction (AMMI) Biplot Analysis Genotype plus Genotypes by Environment (GGE) Interaction Biplot Analysis Introduction R is a free, open-source programming language and software environment for statistical computing, bioinformatics, visualization and general computing.

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Recent papers

  • Ali, E. A. and Ghafar, A. and Angeles-Hernandez, J. C. and Yaseen, M. and Gauci, C. G. and Beveridge, I. and Baxendell, S. and Jabbar, A. (2025) Global prevalence of Eimeria species in goats: a systematic review and meta-analysis. Front. Vet. Sci., 11, 2024. Abstract  pdf
  • Yaseen, M., Dilber, M. A., and Asghar, Z. (2024) PakPC: 'shiny' App to Analyze Pakistan's Population Census Data. The Comprehensive R Archive Network (CRAN). Abstract  pdf
  • Yaseen, M. and Eskridge, K. M. (2024) StabilityApp: Stability Analysis App for GEI in Multi-Environment Trials. The Comprehensive R Archive Network (CRAN). Abstract  pdf
  • Hitt, B., Bilder, C., Tebbs, J., McMahan, C., and Yaseen, M. (2024) PooledTesting: A Shiny App for Pooled Testing. Abstract  pdf
  • Yaseen, M. and Dilber, M. A. (2023) PakPC2023: Pakistan Population Census 2023. The Comprehensive R Archive Network (CRAN). Abstract  pdf
  • Khalid, U. and Yaseen, M. (2023) Social Protection for Persons with Disabilities in Pakistan: Current Scenario and Contribution of BISP. Ahi Evran Akademi, 4(1), 75-93. Abstract  pdf
  • Yaseen, M., Kashif, M., Nazish, H. T., Munir, R., Iqbal, J., Usman, M., and Rabbani, G. (2022) Effect of Rain-Fed Conditions on Yield of Mash Bean Genepool by Using Augmented Design. Journal of Statistical Theory and Applications. Abstract DOI
  • Al-Bouwarthan, M., AlMulla, A. A., and Yaseen, M. (2022) The impact of heat on kidney health: A PRISMA-compliant bibliometric analysis. Medicine, 101(36), e30328. Abstract DOI

Recent and upcoming seminars

  • Sampling Design & Analysis with Applications. (19 August 2022) More info...
  • Statistics: The Art & Science of Learning from Data. (21 July 2022) More info...
  • In-Service Eight Weeks Mandatory Pre-Promotion Training Research Officer (BS-17) to Senior Research Officer (BS-18) 1st Session. (29 January 2021) More info...
  • In-Service Eight Weeks Mandatory Pre-Promotion Training Research Officer (BS-17) to Senior Research Officer (BS-18) 1st Session. (22 January 2021) More info...
  • In-Service Eight Weeks Mandatory Pre-Promotion Training Research Officer (BS-17) to Senior Research Officer (BS-18) 1st Session. (19 January 2021) More info...
  • Training Course on Capacity Building of NARS Scientists in Advance Analytical Techniques. (27 October 2020) More info...
  • Training Course on Capacity Building of NARS Scientists in Advance Analytical Techniques. (25 November 2019) More info...
  • Econometrics using STATA. (29 July 2019) More info...