R Programming: Using R For Agriculture Data Analytics

سرفصل های دوره

Master Agriculture Data Analysis with R: Tune In Now for Live Coding Exercises!

1. R Programming The first skills you need to become a master in R Programming

1. R Programming Install R and Rstudio.html

2. R Programming Create a new project in RStudio

3. R programming Generate reports, notebooks, pdf, html and word document form R

2. R Programming The basics

1. R Programming Master the Basics of R

2.1 chap1.pdf

2. R Programming All the basic codes you need.html

3. R programing Beginning PRATICE.html

3. R Programing Descriptive Statistics on Agricultural Experimental Data

1. R Programming Let's understand together the data we will use for this module

2.1 chap2.pdf

2. R Programming Compute group means

3. R programming Compute other group statistics

4. R Programming Statistics Test.html

5. R Programming Lets understand this second data

6. R programming Summarize agricultural data using dplyr package

7. R Programing Statistics Test Two Summarize data.html

4. R Programming Simple Correlation [Response of winter wheat to saflufenacil]

1. R Programming View the data and the metadata for the study in R

2.1 chap3.pdf

2. R Programming Simple Correlation [Response of winter wheat to saflufenacil]

3. Simple correlation practice in R.html

5. R Programming Compare yields with Student t-test !

1. R programing One-sample t-test in R

2.1 chap4.pdf

2. R Programming Two-sample t-Test in R

3. R Programming Paired t-Test in R

4. R Programming Student t-test practice. write your own code R code.html

6. R Programming Analyse of Variance (ANOVA)

1. R programming One-Way Analysis of Variance in R

2. R Programming Analyse of Variance in R.html

3. R Programming Multi-Factor ANOVA in R

4. R Programming Multi-Factor ANOVA in R.html

7. R Programming Linear Regression in R

1. R Programming Linear Regression in agriculture using R

2. R programming Linear regression.html

3. R Programming Multilinear regression in agriculture using R

4. Multilinear regression using R.html

8. R Programming Analysis of Covariance using R

1. R Programming Mechanical Weed Control analysis using R

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تولید کننده: Udemy-Training