代做Big Data、代写RStudio留学生、代做R程序语言、代写R编程

日期：2019-04-06 09:03

Analyzing EU Politics with Big Data

Summer Semester 2019

Homework 1

Due: April 11, 12h00 (via Ilias)

1. If you have not done so yet, install the following programs on your laptop:

(a) R: http://www.r-project.org/

(b) RStudio: http://www.rstudio.com

(c) The R packages quanteda and quantedaData

(d) LATEX

on Windows: https://www.tug.org/protext/

on Mac: https://tug.org/mactex/

Complete the following assignment using R Markdown in RStudio. Create a new

R Markdown document in RStudio and select “Knit PDF” to produce a PDF

output file with your write up and the code output. More information on the

syntax is available here: http://rmarkdown.rstudio.com/.

2. Using R Markdown, on one page (maximum!), draft a proposal for a quantitative text

analysis project related to the analysis of EU politics. Your proposal should contain

the following information a) a research question of the project, b) the quantity of

interest (variable) your are trying to estimate from text and its relation to the project

(independent variable? dependent variable?), c) the potential text sources and their

electronic availability, d) mentioning of a QTA method described in Grimmer and

Stewart (2013) or Slapin and Proksch (2014) that you think is best suited to estimate

the quantity of interest.

3. Use the UK House of Commons Brexit debate corpus from class. This is the debate

that took place on April 2, 2019.

(a) Subset this corpus to speeches on the withdrawal from the EU motion, but keep

all speakers.

(b) Which MPs talk about a no deal brexit, which MPs talk about a public vote?

Construct a corresponding dictionary and use the dfm() function on the subsetted

corpus and apply the dictionary option within the function. Use ?dfm() to find

out how to apply a dictionary. Summarize your analysis in a brief paragraph.