Udemy - R Programming - Using R For Agriculture Data Analytics

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1. R Programming The first skills you need to become a master in R Programming
• 1. R Programming Install R and Rstudio.html (3.6 KB)
• 2. R Programming Create a new project in RStudio.mp4 (23.6 MB)
• 3. R programming Generate reports, notebooks, pdf, html and word document form R.mp4 (61.8 MB)
2. R Programming The basics
• 1. R Programming Master the Basics of R.mp4 (164.8 MB)
• 2. R Programming All the basic codes you need.html (3.6 KB)
• 2.1 chap1.pdf (171.7 KB)
• 3. R programing Beginning PRATICE.html (0.2 KB)
3. R Programing Descriptive Statistics on Agricultural Experimental Data
• 1. R Programming Let's understand together the data we will use for this module.mp4 (49.5 MB)
• 2. R Programming Compute group means.mp4 (55.3 MB)
• 2.1 chap2.pdf (209.3 KB)
• 3. R programming Compute other group statistics.mp4 (57.6 MB)
• 4. R Programming Statistics Test.html (0.2 KB)
• 5. R Programming Let's understand this second data.mp4 (51.7 MB)
• 6. R programming Summarize agricultural data using dplyr package.mp4 (104.8 MB)
• 7. R Programing Statistics Test Two Summarize data.html (0.2 KB)
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.mp4 (45.5 MB)
• 2. R Programming Simple Correlation [Response of winter wheat to saflufenacil].mp4 (32.6 MB)
• 2.1 chap3.pdf (183.0 KB)
• 3. Simple correlation practice in R.html (0.2 KB)
5. R Programming Compare yields with Student t-test !
• 1. R programing One-sample t-test in R.mp4 (36.9 MB)
• 2. R Programming Two-sample t-Test in R.mp4 (47.8 MB)
• 2.1 chap4.pdf (158.7 KB)
• 3. R Programming Paired t-Test in R.mp4 (32.2 MB)
• 4. R Programming Student t-test practice. write your own code R code.html (0.2 KB)
6. R Programming Analyse of Variance (ANOVA)
• 1. R programming One-Way Analysis of Variance in R.mp4 (120.6 MB)
• 2. R Programming Analyse of Variance in R.html (0.2 KB)
• 3. R Programming Multi-Factor ANOVA in R.mp4 (34.5 MB)
• 4. R Programming Multi-Factor ANOVA in R.html (0.2 KB)
7. R Programming Linear Regression in R
• 1. R Programming Linear Regression in agriculture using R.mp4 (59.5 MB)
• 2. R programming Linear regression.html (0.2 KB)
• 3. R Programming Multilinear regression in agriculture using R.mp4 (36.1 MB)
• 4. Multilinear regression using R.html (0.2 KB)
8. R Programming Analysis of Covariance using R
• 1. R Programming Mechanical Weed Control analysis using R.mp4 (50.7 MB)
• Bonus Resources.txt (0.4 KB)