CWTS_2020: CWTS Leiden's University Ranking 2020 for all scientific...
In nda: Generalized Network-Based Dimensionality Reduction and Analysis
CWTS_2020 R Documentation
CWTS Leiden's University Ranking 2020 for all scientific fields, within the period of 2016-2019. 1176 observations (i.e., universities), and 42 variables (i.e., indicators).
Description
Sample datasets for Generalized Network-based Dimensionality Reduction and Analysis (GNDA)
CWTS Leiden's 2020 dataset, where the data frame has 1176 observations of 42 variables.
Usage
data("CWTS_2020")
Format
A data frame with 1176 observations of 42 variables.
Source
CWTS Leiden Ranking 2020: https://www.leidenranking.com/ranking/2020/list
Examples
data(CWTS_2020)
nda documentation built on Oct. 14, 2024, 5:10 p.m.
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| CWTS_2020 | R Documentation |
CWTS Leiden's University Ranking 2020 for all scientific fields, within the period of 2016-2019. 1176 observations (i.e., universities), and 42 variables (i.e., indicators).
Description
Sample datasets for Generalized Network-based Dimensionality Reduction and Analysis (GNDA)
CWTS Leiden's 2020 dataset, where the data frame has 1176 observations of 42 variables.
Usage
data("CWTS_2020")Format
A data frame with 1176 observations of 42 variables.
Source
CWTS Leiden Ranking 2020: https://www.leidenranking.com/ranking/2020/list
Examples
data(CWTS_2020)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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