Statistical Methods Lab ( R Language) PCCBL308 Semester 3 KTU BTech CB and CU 2024 Scheme - Dr Binu V P
About Me - Dr Binu V P
Statistical Methods Lab ( R Language) PCCBL308 Course Details and Syllabus
Experiments
1.Familiarization of R environment and R Studio. Installing and using packages.
2.Practice basic R input/output commands and create simple R programs using variables/mathematical operations.
3.Learn Control Statements
4.Write R programs using functions ( Functions, Recursive Functions)
5.Learn to use Data Structures in R
6. Plotting in R
7.Measures of central tendancy, variability and correlation/covariance in R(range, variance, standard deviation, covariance/correlation)
8.Probability Distributions
9.Data Manipulation using R
- Built in Datasets in R
- Exploration and visualization of the builtin iris dataset in R
- Plotting Multiple Graphs in R
- Exploring Visulaization using ggplot2 package
- Data Analysis and Visualization of Student Marks from a CSV File and Writing Results into a CSV file Using R
- Reading an Excel File, Performing Data Analysis and Visualization, and Writing Results to an Excel File in R
- Analysis and Visualization of the Built-in Air Quality Dataset Using R
- Analysis and Visualization of Data - Assignment-13
10.Hypothesis Testing Using R
11.Regression in R
- Introduction to Regression
- Linear Regression in R
- Linear Regression using Built in cars dataset in R
- Multiple Regression in R
- Multiple Regression using built in mtcars dataset in R
- Logistic Regression in R
- Logistic Regression using built-in R dataset
- Regression Analysis Using a CSV Dataset Downloaded from Kaggle in R
- Regression in R using sample data-Assignment-15
- Regression Using Real-World Datasets in R- Assignment-16
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