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Understanding Matrices,Matrices in r programming,Matrices in R Programmig complete tutorial,R

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Understanding Matrices,Matrices in r programming,Matrices in R Programmig complete tutorial,R
Explore everything from the basics of R programming language, data analysis, and data visualization to advanced topics like machine learning, statistical analysis, and building interactive dashboards with Shiny. Learn how to use powerful libraries like ggplot2, dplyr, and Tidyverse to manipulate and visualize data effectively.
Exercises for Students
Basic Vector Creation
1. Create a numeric vector of your five favorite numbers.
2. Create a character vector with the names of your three favorite fruits.
3. Create a logical vector indicating if a number is greater than 10 for the vector \((5, 12, 18, 7)\).
Access and Modify Elements
4. Access the second and fourth elements of the vector \((3, 8, 15, 22, 9)\).
5. Replace the third element of \((10, 20, 30, 40, 50)\) with \(35\).
6. Filter elements greater than 25 from the vector \((10, 25, 30, 40)\).
Vectorized Operations
7. Add two vectors: \((2, 4, 6, 8)\) and \((1, 3, 5, 7)\).
8. Find the product of the elements of the vector \((3, 6, 9)\).
9. Calculate the mean of the vector \((20, 25, 30, 35, 40)\).
10. Compare elements of two vectors: \((10, 15, 20)\) and \((12, 15, 18)\). Which elements of the first vector are greater?
Challenge Exercise
1. Create a numeric vector for monthly expenses of a family: \(2000, 2500, 1800, 2200, 2700, 3000\).
2. Calculate the total expense over six months.
3. Identify months where expenses exceeded \(2500\).
4. Reduce expenses by \(10\%\) in all months and print the updated values.
💻 What you’ll learn:
- Writing your first script in R
- Manipulating data with dplyr
- Creating stunning visualizations with ggplot2
- Performing statistical analysis
- Building real-world projects in R
Whether you’re looking to start a career in data science, advance your skills in machine learning, or simply explore the power of R for your projects, this series has got you covered.
✨ Why choose this tutorial?
- Free and easy-to-follow lessons
- Hands-on coding examples
- Step-by-step guidance for projects
Sponsored by Udgam Welfare Foundation
🔔 Don’t forget to subscribe and hit the bell icon for more tutorials on R Programming, Data Science, and beyond! 🚀
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Explore everything from the basics of R programming language, data analysis, and data visualization to advanced topics like machine learning, statistical analysis, and building interactive dashboards with Shiny. Learn how to use powerful libraries like ggplot2, dplyr, and Tidyverse to manipulate and visualize data effectively.
Exercises for Students
Basic Vector Creation
1. Create a numeric vector of your five favorite numbers.
2. Create a character vector with the names of your three favorite fruits.
3. Create a logical vector indicating if a number is greater than 10 for the vector \((5, 12, 18, 7)\).
Access and Modify Elements
4. Access the second and fourth elements of the vector \((3, 8, 15, 22, 9)\).
5. Replace the third element of \((10, 20, 30, 40, 50)\) with \(35\).
6. Filter elements greater than 25 from the vector \((10, 25, 30, 40)\).
Vectorized Operations
7. Add two vectors: \((2, 4, 6, 8)\) and \((1, 3, 5, 7)\).
8. Find the product of the elements of the vector \((3, 6, 9)\).
9. Calculate the mean of the vector \((20, 25, 30, 35, 40)\).
10. Compare elements of two vectors: \((10, 15, 20)\) and \((12, 15, 18)\). Which elements of the first vector are greater?
Challenge Exercise
1. Create a numeric vector for monthly expenses of a family: \(2000, 2500, 1800, 2200, 2700, 3000\).
2. Calculate the total expense over six months.
3. Identify months where expenses exceeded \(2500\).
4. Reduce expenses by \(10\%\) in all months and print the updated values.
💻 What you’ll learn:
- Writing your first script in R
- Manipulating data with dplyr
- Creating stunning visualizations with ggplot2
- Performing statistical analysis
- Building real-world projects in R
Whether you’re looking to start a career in data science, advance your skills in machine learning, or simply explore the power of R for your projects, this series has got you covered.
✨ Why choose this tutorial?
- Free and easy-to-follow lessons
- Hands-on coding examples
- Step-by-step guidance for projects
Sponsored by Udgam Welfare Foundation
🔔 Don’t forget to subscribe and hit the bell icon for more tutorials on R Programming, Data Science, and beyond! 🚀
Understanding Matrices,Matrices in r programming,Matrices in R Programmig complete tutorial,R Programming Tutorial,r programming,work with Matrices and matrices in r, r programming,Matrices in r,Matrices in r programming,data structures in r,vector in r programming,r programming tutorial,r programming language,r programming Matrices,r programming - Matrices,how to create Matrices in r,r Matrices,how to subset Matrices in r programming,what is vector in r programming,vector concept in r programming
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