| Name : R-dataprep
| |
| Version : 0.1.5
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.10.1
| Date : 2024-06-08 06:48:11
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| Group : Development/Libraries/Other
| Source RPM : R-dataprep-0.1.5-lp154.10.1.src.rpm
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| Size : 3.12 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Efficient and Flexible Data Preprocessing Tools
|
Description :
Efficiently and flexibly preprocess data using a set of data filtering,
deletion, and interpolation tools. These data preprocessing methods are
developed based on the principles of completeness, accuracy, threshold
method, and linear interpolation and through the setting of constraint
conditions, time completion & recovery, and fast & efficient
calculation and grouping. Key preprocessing steps include deletions of
variables and observations, outlier removal, and missing values (NA)
interpolation, which are dependent on the incomplete and dispersed
degrees of raw data. They clean data more accurately, keep more
samples, and add no outliers after interpolation, compared with
ordinary methods. Auto-identification of consecutive NA via run-length
based grouping is used in observation deletion, outlier removal, and NA
interpolation; thus, new outliers are not generated in interpolation.
Conditional extremum is proposed to realize point-by-point weighed
outlier removal that saves non-outliers from being removed. Plus, time
series interpolation with values to refer to within short periods
further ensures reliable interpolation. These methods are based on and
improved from the reference: Liang, C.-S., Wu, H., Li, H.-Y., Zhang,
Q., Li, Z. & He, K.-B. (2020) < doi:10.1016/j.scitotenv.2020.140923>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
