Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.radphyschem.2013.04.026
DC Field | Value | |
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dc.title | Analysis of synchrotron radiation induced X-ray emission spectra with R environment | |
dc.contributor.author | Banas, K. | |
dc.contributor.author | Banas, A.M. | |
dc.contributor.author | Gajda, M. | |
dc.contributor.author | Kwiatek, W.M. | |
dc.contributor.author | Pawlicki, B. | |
dc.contributor.author | Breese, M.B.H. | |
dc.date.accessioned | 2014-12-12T07:47:15Z | |
dc.date.available | 2014-12-12T07:47:15Z | |
dc.date.issued | 2013-12 | |
dc.identifier.citation | Banas, K., Banas, A.M., Gajda, M., Kwiatek, W.M., Pawlicki, B., Breese, M.B.H. (2013-12). Analysis of synchrotron radiation induced X-ray emission spectra with R environment. Radiation Physics and Chemistry 93 : 82-86. ScholarBank@NUS Repository. https://doi.org/10.1016/j.radphyschem.2013.04.026 | |
dc.identifier.issn | 0969806X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/116226 | |
dc.description.abstract | Life sciences have seen a huge increase in the amount and complexity of data being collected with every experiment. Scientists today are faced with increasingly difficult task to extract vital information from the vast amount of numbers. Software used for this purpose should be sufficiently powerful and flexible to handle large and complex data sets. On the other hand it should allow the user to exactly follow what is being calculated, black-box type of software should be avoided. R platform (R Development Core Team, 2011), open-source environment for statistical analysis nicely fits these requirements. With its rapidly expanding user community it is quickly becoming the most important tool in statistical analysis of data in broad range of applications. The most important feature of R is the package system, allowing users to address specific problems with dedicated package and even for more advanced users to contribute software for their own fields. In this paper multivariate analysis and data treatment of spectral data by using R environment is presented. © 2013 Elsevier Ltd. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.radphyschem.2013.04.026 | |
dc.source | Scopus | |
dc.subject | Multivariate analysis | |
dc.subject | R platform | |
dc.subject | Synchrotron radiation | |
dc.subject | XRF | |
dc.type | Article | |
dc.contributor.department | SINGAPORE SYNCHROTRON LIGHT SOURCE | |
dc.contributor.department | PHYSICS | |
dc.description.doi | 10.1016/j.radphyschem.2013.04.026 | |
dc.description.sourcetitle | Radiation Physics and Chemistry | |
dc.description.volume | 93 | |
dc.description.page | 82-86 | |
dc.description.coden | RPCHD | |
dc.identifier.isiut | 000326910900016 | |
Appears in Collections: | Staff Publications |
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