• Applied Methods in Statistics
  • Practical Information
    • Lecture and Exercise Plan
    • Reference Books
  • Getting Started
    • Exercise 1: Create New Project
    • Exercise 2: Importing data in R
      • Import txt or csv
      • Import Microsoft Excel spreadsheet
      • Load rdata, rda or rds
      • Reading data from clipboard (“pasting” copied data into an R object)
    • Exercise 3: Exporting data to a file
    • Exercise 4: Data Structure in R
      • Vector
      • Matrix
      • Array
      • List
      • Data Frame
    • Exercise 5: Exploring the data
      • Structure of an R-object
      • Accessing elements from R-objects
      • View Data in RStudio
      • Summary of data
      • Dimension of data
      • Lets Practice
    • Exercise 6: Subsets of data and logical operators
      • Logical vector and index vector
      • Subsetting data frame
      • Exercise
    • Exercise 7: Graphics
      • Spice up the plot
  • Regression Analysis
    • Least Sqaures App
    • Dataset: birth
      • Overview of data
      • Linear Regression
      • Regression with categories
    • Dataset: bodydata
      • Training Samples
      • Fitting Model
      • Understanding the fitted Model
      • Multiple Linear Regression and Prediction
      • Extra on R-squared
    • Dataset: mtcars
      • Ex-1: Model Fitting
      • Ex-2: Indicator variable
      • Ex-3: Comparing models - Partial F-test
      • Ex-4: Influential measurements
      • Ex-5: Model selection
      • Ex-6: Model validation
  • Analysis of variance
    • Chlorine levels in cities
    • Data from the NSR education test
    • Barley Data
  • Multivariate Analysis (PCA)
    • Track and Field data
  • Multivariate Analysis (PCR, PLS)
    • Prediction of cow milk percentage
  • Discrimination and classification
    • Iris Dataset
  • Generalized Linear Model
    • Species Data
    • Taxonomy Data
  • Random Effect Model
    • Litter sizes
  • Mixed Effect Model
    • Exercises and Diet
  • Exam Questions
    • Exam 2017
      • Exercise 1
      • Exercise 2
      • Exercise 3
      • Exercise 4
      • Appendix to exam STAT340
  • Lecturer:
    • Thore Egeland
  • Assistent Teachers:
    • Raju Rimal

Applied Methods in Statistics

Reference Books

See: Practical Information | Lecture and Exercise Plan