Exam-2017- with solutions PDF

Title Exam-2017- with solutions
Author Na Ba
Course Data analysis and visualization in R
Institution Technische Universität München
Pages 17
File Size 289.5 KB
File Type PDF
Total Downloads 223
Total Views 292

Summary

Data Analysis and Visualization in R - Writ-ten examination05 April 20171 IdentificationMatriculation number: Last name, first name: Bachelor or Master:2 PreambleNo document nor electronic device is allowed. Answer directly on the sheet. For multiple choice questions, there can be 1 or multiple corr...


Description

Data Analysis and Visualization in R - Written examination 05 April 2017

1

Identification Matriculation number: Last name, first name: Bachelor or Master:

2

Preamble No document nor electronic device is allowed. Answer directly on the sheet. For multiple choice questions, there can be 1 or multiple correct answers. Here are some R help exerts of a few commands:

2.1

dcast {data.table} dcast(data, formula, fun.aggregate = NULL, sep = “_“, . . . , margins = NULL, subset = NULL, fill = NULL, drop = TRUE, value.var = guess(data), verbose = getOption(”datatable.verbose“)) • data: A data.table • formula: a formula of the form LHS ~ RHS to cast. • fun.aggregate: Should the data be aggregated before casting? If the formula doesn’t identify a single observation for each cell, then aggregation defaults to length with a message. • sep: character vector of length 1, indicating the separating character in variable names generated during casting. Default is _ for backwards compatibility. • . . . : any other arguments that may be passed to the aggregating function. • subset: specified if casting should be done on a subset of the data. Ex: subset = .(col1...


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