EconPapers    
Economics at your fingertips  
 

Samples, Random Variables—Histograms and Density Distribution in R

Carsten Dormann ()
Additional contact information
Carsten Dormann: University of Freiburg, Biometry and Environmental System Analysis

Chapter Chapter 2 in Environmental Data Analysis, 2020, pp 13-27 from Springer

Abstract: Abstract At the end of this chapter $$\ldots $$ … $$\ldots $$ … it should be clear to you that data collection should be planned in advance and you should know what an ideal data sheet looks like. $$\ldots $$ … you will be able to read data into R. $$\ldots $$ … you will have the skills to transform raw data in R into a histogram. $$\ldots $$ … you will be able to calculate the sample statistics we learned in Chap. 1 in R. $$\ldots $$ … you will have finally done something practical!

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-55020-2_2

Ordering information: This item can be ordered from
http://www.springer.com/9783030550202

DOI: 10.1007/978-3-030-55020-2_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-02-09
Handle: RePEc:spr:sprchp:978-3-030-55020-2_2