Use Of R in Statistics Lithuania
Tomas Rudys
Additional contact information
Tomas Rudys: Statistics Lithuania
Romanian Statistical Review, 2016, vol. 64, issue 2, 119-124
Abstract:
Recently R becoming more and more popular among official statistics offices. It can be used not even for research purposes, but also for a production of official statistics. Statistics Lithuania recently started an analysis of possibilities where R can be used and could it replace some other statistical programming languages or systems. For this reason a work group was arranged. In the paper we will present overview of the current situation on implementation of R in Statistics Lithuania, some problems we are chasing with and some future plans. At the current situation R is used mainly for research purposes. Looking for- ward a short courses on basic R was prepared and at the moment we are starting to use R for data analysis, data manipulation from Oracle data bases, some reports preparation, data editing, survey estimation. On the other hand we found some problems working with big data sets, also survey sampling as there are surveys with complex sampling designs. We are also analysing the running of R on our servers in order to have possibilities to use more random access memory (RAM). Despite the problems, we are trying to use R in more fields in production of official statistics.
Keywords: R; official statistics; sampling; outlier detection (search for similar items in EconPapers)
JEL-codes: C10 C88 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A10.pdf (application/pdf)
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:rsr:journl:v:64:y:2016:i:2:p:119-124
Access Statistics for this article
More articles in Romanian Statistical Review from Romanian Statistical Review Contact information at EDIRC.
Bibliographic data for series maintained by Adrian Visoiu ().