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Research methods
General
Quantitative methods setup and materials
1) Organization, types of arguments, concepts vs. theories
Concepts and Measures
Building a database
Analytical description
Causality
Quantitative Methods - Introduction
QM - Descriptive Statistics
QM - Data Transformation with dplyr
QM - Visualisation
QM - Statistical Inference
QM - Linear Regression
Mixed methods
Home
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Research methods
Home
Courses
Faculty of Social Science
Institute of Political Studies
Department of Political Studies
Research methods
QM - Data Transformation with dplyr
dplyr
dplyr
Click
dplyr.R
link to view the file.
◄ Video - Data Transformation with dplyr
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Oznámení
DataCamp Invitation Link
YouTube Tutorial - R and R Studio Setup
R Environment Download
R Studio Download
Tidyverse
Refresher
Groups
Concepts and measures
Charts
Charts - The Economist
Video indicators
Building a database
Tidy Data
ISI WOS
Video HW2
Tables
Charts
HW III. Descriptive report
Pres
Plots
HW 4: Theories and hypotheses
Presentation - Introduction
Video - Introduction
Presentation - Descriptive Statistics
Video - Descriptive Statistics
Presentation - Data Transformation with dplyr
Video - Data Transformation with dplyr
Presentation - Data Visualisation with ggplot2
Video - Data Visualisation with ggplot2
ggplot2
ChiSq
Video - Statistical Inference and Chi Test
Presentation - Statistical Inference and Chi Test
Linear Models
Presentation - Linear Regression
Video - Linear Regression
Datacamp
Gerring
Gerring2
Presentation
Final task
Class recordings
Residuals
Residuals II
Presentation - Data Visualisation with ggplot2 ►