Interpreting Experimental Data
Interpreting Experimental Data is a scholarly methodological process that involves systematically analyzing and explicating empirical observations to discern underlying patterns, relationships, or principles in accordance with the theoretical framework and experimental design of a study.
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Martin A. Fischler, Robert C. Bolles · Communications of the ACM · 1981 · 25.5K citations · Full text
Least-Squares Means: The<i>R</i>Package<b>lsmeans</b>
Russell V. Lenth · Journal of Statistical Software · 2016 · 5.6K citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
40 h-index
261 publications
16.2K citations
University of California, Berkeley
Berkeley, United States
27 h-index
84 publications
5.7K citations
University of Cambridge
Cambridge, United Kingdom
24 h-index
66 publications
5.2K citations
University of Oxford
Oxford, United Kingdom
23 h-index
91 publications
8.8K citations
Massachusetts Institute of Technology
Cambridge, United States
23 h-index
90 publications
3.7K citations
University of Washington
Seattle, United States
22 h-index
56 publications
3.3K citations
University College London
London, United Kingdom
21 h-index
74 publications
5.4K citations
Stanford University
Stanford, United States
21 h-index
79 publications
4.3K citations
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PRL · 38 publications · 3.9K citations
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Repository · 43 publications · 3.4K citations
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