Introduction to R

Prof. Dr. Ulrich Fritsche

Course

Announcements

Dear participants,

the mentioned link to the very concise intro to regular expressions is: https://www.youtube.com/watch?v=NvHjYOilOf8.

This video lecture (about 25 min) is recommended before we turn to the regular expression implementation in R.

Kind regards

Ulrich Fritsche

Announcement created on: 28/10/2017 11:19

Dear participants,

I uploaded the datasets beer.csv, cars.csv, chicago.rds, stopwords_de.txt together with two "clean" R code files for exercises 1 and 2 teached yesterday to dropbox. I will also upload new exercise pdfs for exercises 3 to 5 in the next days. At the end of the course I will also make available to you all R Markdown files which underly the html/ pdf files used for presentation.

Furthermore, I received some temporary passwords for those of you which are not enrolled as students at University Hamburg.

Have a nice weekend!

Kind regards

Ulrich Fritsche

Announcement created on: 28/10/2017 10:34

Dear participants,

I will upload material for the course over the course of today here: https://www.dropbox.com/sh/cp4eb85pze3mwrs/AACdRFQusZcGYJR-TGR-mPtra?dl=0.

Materials for the next come will be uploaded in the next days.

Please make sure that you either have access to the computers in the computer lab (WISO faculty login) or bring a laptop with R / RStudio installed to the course (make sure to have Internet access via eduroam or RRZ Uni Hamburg).

Kind regards

Ulrich Fritsche

Announcement created on: 26/10/2017 10:23

Description

COURSE CONCEPT

We introduce basic concepts of programming, data structuring and statistical analysis in R. We will furthermore show how to perform simple regression analysis using Wooldridge’s introductory text book examples. Topics include:

  • Nuts and Bolts
  • Getting data in R
  • Vectorized operations
  • Managing data frames
  • Control structures
  • Functions
  • Looping functions
  • Regular expressions
  • Simple regressions and plots

INTRODUCTORY LITERATURE (FREE)

  • https://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R-Intro.pdf
  • https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf
  • Peng, Roger: R Programming for data science, https://leanpub.com/rprogramming
  • Heiss, Florian: Using R for Introductory Econometrics, http://www.urfie.net/

General Data

  • Abbreviation
    20-Introduction to R
  • Semester
    winter semester 17/18
  • Target Groups
  • Course Type
  • Course Language
  • Departments
    Faculty of Economics and Social Sciences

Place and Time

Date
  • Place
    Von Melle Park 9 Raum A514
  • Time
    at 27/10/2017 from 09:00 to 17:00
Date
  • Place
    Von Melle Park 9 Raum A514
  • Time
    at 03/11/2017 from 09:00 to 17:00

Recognition Modalities

  • Number of Semester Hours
    1
  • Amount of Credit Points
    2
  • Creditable as
    • WiSo doctoral program: WiSo methods for Economics
    • WiSo doctoral program: WiSo methods for Social Economics
    • WiSo doctoral program: WiSo methods for Social Siences

Registration Modalities

  • Type of Place Allocation
    Manual Place Allocation (after the registration deadline)
  • Information about Registration
  • Max. Number of Participants
    30