Introduction to R
Prof. Dr. Ulrich FritscheVeranstaltung
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
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
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
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
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Kurzbezeichnung20-Introduction to R
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SemesterWintersemester 17/18
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Zielgruppen
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Veranstaltungsart–
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Veranstaltungssprache–
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EinrichtungenFakultät für Wirtschafts- und Sozialwissenschaften
Ort und Zeit
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OrtVon Melle Park 9 Raum A514
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Zeitam 27.10.2017 von 09:00 bis 17:00
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OrtVon Melle Park 9 Raum A514
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Zeitam 03.11.2017 von 09:00 bis 17:00
Anrechnungsmodalitäten
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Anzahl SWS1
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Anzahl Leistungspunkte2
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Anrechenbar als
- WiSo Promotionsstudiengang: WiSo Methoden für Sozialwissenschaften
- WiSo Promotionsstudiengang: WiSo Methoden für Sozialökonomie
- WiSo Promotionsstudiengang: WiSo Methoden für Volkswirtschaftslehre
Anmeldemodalitäten
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Art der PlatzvergabeManuelle Platzvergabe (nach Ende der Anmeldefrist)
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Anmeldeinformation–
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Max. Anzahl Teilnehmer30