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Web application for the simulation of experimental data

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Web application for the simulation of experimental data. / Bernabeu, Pablo.
2020, Web application for the simulation of experimental data.

Research output: Other contribution

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@misc{f8154df0e3c64b5180252696ae82311d,
title = "Web application for the simulation of experimental data",
abstract = "This web application is suitable for educational and research purposes in experimental and quantitative sciences. It allows the creation of varied data sets with specified structures, such as between-group or within-participant variables, that can be categorical or continuous. These features can be selected along the different tabs. In the penultimate tab, a custom summary of the current data set can be constructed. In the last tab, the list of parameters and the data set can be downloaded.",
keywords = "data science, statistics, R",
author = "Pablo Bernabeu",
year = "2020",
language = "English",
type = "Other",

}

RIS

TY - GEN

T1 - Web application for the simulation of experimental data

AU - Bernabeu, Pablo

PY - 2020

Y1 - 2020

N2 - This web application is suitable for educational and research purposes in experimental and quantitative sciences. It allows the creation of varied data sets with specified structures, such as between-group or within-participant variables, that can be categorical or continuous. These features can be selected along the different tabs. In the penultimate tab, a custom summary of the current data set can be constructed. In the last tab, the list of parameters and the data set can be downloaded.

AB - This web application is suitable for educational and research purposes in experimental and quantitative sciences. It allows the creation of varied data sets with specified structures, such as between-group or within-participant variables, that can be categorical or continuous. These features can be selected along the different tabs. In the penultimate tab, a custom summary of the current data set can be constructed. In the last tab, the list of parameters and the data set can be downloaded.

KW - data science

KW - statistics

KW - R

M3 - Other contribution

ER -