dataTOY: Artificial data set
In multilevLCA: Estimates and Plots Single-Level and Multilevel Latent Class Models
dataTOY R Documentation
Artificial data set
Description
Artificial multilevel data set.
Usage
data("dataTOY")
Format
A data frame with 3000 observations on the following 13 variables.
id_highHigh-level id
Y_1Indicator n.1
Y_2Indicator n.2
Y_3Indicator n.3
Y_4Indicator n.4
Y_5Indicator n.5
Y_6Indicator n.6
Y_7Indicator n.7
Y_8Indicator n.8
Y_9Indicator n.9
Y_10Indicator n.10
Z_lowContinuous low-level covariate
Z_highContinuous high-level covariate
References
Di Mari, Bakk, Z., R., Oser, J., & Kuha, J. (2023). A two-step estimator for multilevel latent class analysis with covariates. Under review. Available from https://arxiv.org/abs/2303.06091.
multilevLCA documentation built on Oct. 13, 2024, 1:06 a.m.
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| dataTOY | R Documentation |
Artificial data set
Description
Artificial multilevel data set.
Usage
data("dataTOY")Format
A data frame with 3000 observations on the following 13 variables.
id_highHigh-level id
Y_1Indicator n.1
Y_2Indicator n.2
Y_3Indicator n.3
Y_4Indicator n.4
Y_5Indicator n.5
Y_6Indicator n.6
Y_7Indicator n.7
Y_8Indicator n.8
Y_9Indicator n.9
Y_10Indicator n.10
Z_lowContinuous low-level covariate
Z_highContinuous high-level covariate
References
Di Mari, Bakk, Z., R., Oser, J., & Kuha, J. (2023). A two-step estimator for multilevel latent class analysis with covariates. Under review. Available from https://arxiv.org/abs/2303.06091.
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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