qp_quant_plot: Sina plot of 5 distributions
In qcapower: Estimate Power and Required Sample Size in QCA
Description
Usage
Arguments
Details
Value
Examples
Description
Depending on the number of cases, the permuted distributions of consistency
values can differ narrowly or widely in terms of their location on the
spectrum and their shape.
Usage
1
qp_quant_plot(power_est, title = FALSE)
Arguments
power_est
Dataframe containing simulation results (see
qcapower)
title
Option for adding title to plot (default FALSE)
Details
Creates a sina plot with ggforce
Value
A sina plot using the cases to visualize the density
distribution ('gg' object).
Examples
1
2
sim_data <- qp_sina_data
qp_quant_plot(sim_data)
qcapower documentation built on March 2, 2020, 5:09 p.m.
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Description Usage Arguments Details Value Examples
Description
Depending on the number of cases, the permuted distributions of consistency values can differ narrowly or widely in terms of their location on the spectrum and their shape.
Usage
1 | qp_quant_plot(power_est, title = FALSE)
|
Arguments
power_est |
Dataframe containing simulation results (see
|
title |
Option for adding title to plot (default |
Details
Creates a sina plot with ggforce
Value
A sina plot using the cases to visualize the density distribution ('gg' object).
Examples
1 2 | sim_data <- qp_sina_data
qp_quant_plot(sim_data)
|
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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