Introduction to R

Prof. Dr. Ulrich Fritsche

Veranstaltung

Mitteilungen

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

Mitteilung erstellt am: 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

Mitteilung erstellt am: 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

Mitteilung erstellt am: 26.10.2017 10:23

Beschreibung

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/

Allgemeine Angaben

  • Kurzbezeichnung
    20-Introduction to R
  • Semester
    Wintersemester 17/18
  • Zielgruppen
  • Veranstaltungsart
  • Veranstaltungssprache
  • Einrichtungen
    Fakultät für Wirtschafts- und Sozialwissenschaften

Ort und Zeit

Termin
  • Ort
    Von Melle Park 9 Raum A514
  • Zeit
    am 27.10.2017 von 09:00 bis 17:00
Termin
  • Ort
    Von Melle Park 9 Raum A514
  • Zeit
    am 03.11.2017 von 09:00 bis 17:00

Anrechnungsmodalitäten

  • Anzahl SWS
    1
  • Anzahl Leistungspunkte
    2
  • Anrechenbar als
    • WiSo Promotionsstudiengang: WiSo Methoden für Sozialwissenschaften
    • WiSo Promotionsstudiengang: WiSo Methoden für Sozialökonomie
    • WiSo Promotionsstudiengang: WiSo Methoden für Volkswirtschaftslehre

Anmeldemodalitäten

  • Art der Platzvergabe
    Manuelle Platzvergabe (nach Ende der Anmeldefrist)
  • Anmeldeinformation
  • Max. Anzahl Teilnehmer
    30