Description Usage Arguments Details Value References See Also Examples

Calculate the variance partitioning coefficient

1 2 3 4 |

`object` |
An object created by |

For partially nested studies, the VPC is calculated for the treatment group.

a `data.frame`

with class `plcp_VPC`

containing the
percentage of variance per level and time point. The column
`between_clusters`

is also the intraclass correlation for level three,
i.e. the correlation between two subjects belonging to the same cluster at
a specific time point. With random slopes in the model the variances per time point
will be a quadratic function of time. `tot_var`

is the
percentage increase or decrease in total variance relative to baseline variance.

The `plot`

method returns a `ggplot2::ggplot`

object.

Goldstein, H., Browne, W., & Rasbash, J. (2002).
Partitioning variation in multilevel models.
*Understanding Statistics: Statistical Issues in Psychology, Education,
and the Social Sciences, 1*(4), 223-231.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
paras <- study_parameters(n1 = 11,
n2 = 10,
n3 = 3,
T_end = 10,
icc_pre_subject = 0.5,
icc_pre_cluster = 0,
icc_slope = 0.05,
var_ratio = 0.03)
res <- get_VPC(paras)
res
# Plot
plot(res)
``` |

rpsychologist/powerlmm documentation built on Aug. 17, 2018, 7:57 a.m.

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