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R Syntax - 7.8 KB - MD5: 926a8793e4f58770693ada60df5d813e
This R script performs a comprehensive evaluation of various imputation methods for handling missing data in a dataset. It begins by loading the required libraries and reading the original dataset, followed by generating missing values under the MCAR (Missing Completely at Random...
Tabular Data - 36.4 KB - 26 Variables, 163 Observations - UNF:6:rso2lyyTiolCSW5qccc8lw==
Cleaned data for four decades of publication in SCOPUS (1980-2020).
Plain Text - 1.5 KB - MD5: 9c26b5353e3d86de75099be6a97332ac
Description for dataset on kriging research publications in SCOPUS (1980-2020)
Tabular Data - 5.7 MB - 26 Variables, 3515 Observations - UNF:6:GPAcpOLYeaGz3tjGg7tCuA==
Pre-analysed data on kriging related publications using POP by Harzing.
Tabular Data - 8.0 KB - 44 Variables, 32 Observations - UNF:6:oGD+979oe12A8VhguCx2xg==
Comma Separated Values - 96.7 KB - MD5: e813eed6549a55c902559b439fdaa21a
Comma Separated Values - 88.8 KB - MD5: eb025e519ce7e970878b67222edc4ee2
MPEG-4 Video - 614.8 MB - MD5: da5acfc5c81228887693013d5a9606ff
MPEG-4 Video - 639.2 MB - MD5: 8ffb313ffed053e3889cfe44e2bd8e42
Tabular Data - 2.6 KB - 19 Variables, 34 Observations - UNF:6:U0kf7MUNqZ4Pix2ybFr8Rg==
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