### MYaseen208

Thoughts on statistics, Research, R, Python, LaTex, and other distractions.

# Subject ▸ Research

## 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.

## 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!

## 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.

## 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.

## An Introduction to Statistics using SPSS

Introduction Statistics Variable Measurement Measurement Scales Descriptive Statistics Example Reference Boxwhisker Diagram Example Reference Scatter Plot Example Reference Regression Analysis Simple Linear Regression Example Reference Multiple Linear Regression Example Reference Polynomial Regression Analysis Example Reference Analysis of Variance (ANOVA) Example Reference Example Reference Analysis of Covariance (ANCOVA) Example Reference Same Slopes but different Intercepts Different Intercepts and different Slopes Factorial Experiments Example Reference Introduction alt text

## Emerging Technologies in Research: Google Apps and SPSS

Introduction Statistics Variable Measurement Measurement Scales Descriptive Statistics Example Boxwhisker Diagram Example Regression Analysis Simple Linear Regression Example Exercise Exercise Multiple Linear Regression Example Polynomial Regression Analysis Example Analysis of Variance (ANOVA) Example Exercise 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 Introduction alt text

## An introduction to R for Agricultural Research

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 Introduction R is a free, open-source programming language and software environment for statistical computing, bioinformatics, visualization and general computing.