PRACTICALS' GUIDES (in English)

Practical 1.   [ September 4, 2018 ]
Descriptive statistics, data management and diagrams with MS Excel

Guide: the first two-three practicals at webpage http://www.eau.ee/~ktanel/VL_0413/praktikumid.php (no need to solve all exercises, just read and try to do something if seems interesting and/or unknown)

Practical 2&3.   [ September 11 & 18, 2018 ]
Introduction to R. Descriptive statistics and diagrams in R. Comparison of two groups in R

Guides: DK_prax21.pdf , DK_prax22_eng.R

The last is the R script; save it and open straight in R (Fail -> Open Script ...)
Perform the commands step by step and add the comments if wanted, add the commands to perform asked analyses. Save the script

Dataset: studentsR_eng.xls

R module Rcmdr. Descriptive statistics, diagrams and comparison of two groups

Guides: DK_prax3_eng.pdf
Datasets: studentsR_eng.xls

For help: Rcmdr_mooduli_install.pdf
http://socserv.socsci.mcmaster.ca/jfox/Misc/Rcmdr/Getting-Started-with-the-Rcmdr.pdf

Practical 4.   [ September 25, 2018 ]
Relationships between variables (frequency tables, correlation and regression analysis in R)

Guide: DK_prax4_eng.pdf
Dataset: studentsR_eng.xls

Additional optional material. Correlation and regression analysis with MS Excel: look at the 5th and 6th practical guide at
http://www.eau.ee/~ktanel/VL_0413/praktikumid.php

Practical 5.   [ October 2, 2018 ]
Analysis of variance. Tests and linear models in R

Guide: DK_prax5_eng.pdf
Datasets: studentsR.xls , kala.xls

Practical 6.   [ October 9, 2018 ]
Mixed models in R

Guide: DK_prax6_eng.pdf
Datasets: saagikus.rda , vasikas.xls

Practicals 7.   [ October 16, 2018 ]
Logistic regression, odds ratio, ROC-curve

Guide: DK_prax7_eng.R (this is commented R-script, which covers 2/3 of the todays exercises; instead of or additionally to this file you may follow also the Estonian version of todays practical guide, Estonian version is illustrated and has some analyses more)
Dataset: puud.rda

Practicals 8.   [ October 23, 2018 ]
Cluster analysis, principal components analysis

DK_prax8_eng.R
Dataset: puud.rda