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129,651 to 129,660 of 130,364 Results
outliers.rda
May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
R Data - 269 B - MD5: 0cdeb300f6b059adc518b88b77800f9b
See README.txt
README.txt
May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
Plain Text - 3.6 KB - MD5: ab2a41d2a0eff3a476d9fb07311cd805
Documentation
sop_data.rda
May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
R Data - 911.6 MB - MD5: acefcf93dd48f460e23430e2189f6360
See README.txt
Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’
May 23, 2017 - TROLLing
Nordrum, Maria, 2017, "Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’", https://doi.org/10.18710/TZYDNQ, DataverseNO, V1, UNF:6:IIcqQd/NhX1Ce83PxjZP5A== [fileUNF]
This dataset contains the database and statistical code used for a term paper in HIF-3082 Quantitative Methods in Linguistics, spring 2017. It includes two datasets (I and II). Dataset I is used for a synchronic analysis of the verb cluster putat’ ‘mix up, mess up, confuse, tangl...
Database_TermPaper.tab
May 23, 2017 - Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’
Tabular Data - 43.7 KB - 1 Variables, 1793 Observations - UNF:6:Q5aGFj7k75vu0BwcfEGf3w==
Database used in the study.
Dataset1.tab
May 23, 2017 - Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’
Tabular Data - 194 B - 1 Variables, 7 Observations - UNF:6:FhQFE+F2AcZQTllrOYBNHA==
Frequency distribution of the semantic categories in Dataset I: 1800-1849 (relative frequency).
Dataset2.tab
May 23, 2017 - Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’
Tabular Data - 193 B - 1 Variables, 7 Observations - UNF:6:SwYcmqP5d/72X7X2WutRMw==
Frequency distribution of the semantic categories in Dataset II: 1950-2016 (relative frequency).
R_code.txt
May 23, 2017 - Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’
Plain Text - 1.7 KB - MD5: 13519a779034b6af289e76c1effa8ae6
README.txt
May 23, 2017 - Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’
Plain Text - 1.0 KB - MD5: 5286298a9aff1edfee42cbce637897ae
Replication Data for: "The loss of Latin OV: Steps towards an analysis"
May 17, 2017 - TROLLing
Danckaert, Lieven, 2017, "Replication Data for: "The loss of Latin OV: Steps towards an analysis"", https://doi.org/10.18710/VWDJ1Y, DataverseNO, V1
In this paper I offer a first attempt to analyse the loss of OV word orders in Latin/Romance. Assuming Yang's (2000, 2002) variational acquisition model of language change, I suggest that the eventual decline of the OV grammar can be traced back to an independent change in the gr...
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