prob_categories: Probability for certain degree of saturation
In gridsampler: A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies
Description
Usage
Arguments
See Also
Examples
Description
Calculate probability for getting certain proportion of categories with at
least m constructs
Usage
1
prob_categories(r, m, min.prop = 1)
Arguments
r
A dataframe. The result returned from sim_n_persons_x_times.
m
minimal number of constructs in each category
min.prop
Proportion of categores to contain at least m constructs.
See Also
Other Utilities: calc_probabilities,
expected_frequencies
Examples
1
2
r <- sim_n_persons_x_times(dexp(1:30, rate = .05), n = 50, a = 5:7, times = 100, progress = "none")
prob_categories(r, 4, min.prop = .9)
gridsampler documentation built on May 2, 2019, 5:36 a.m.
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Description Usage Arguments See Also Examples
Description
Calculate probability for getting certain proportion of categories with at least m constructs
Usage
1 | prob_categories(r, m, min.prop = 1)
|
Arguments
r |
A dataframe. The result returned from |
m |
minimal number of constructs in each category |
min.prop |
Proportion of categores to contain at least m constructs. |
See Also
Other Utilities: calc_probabilities,
expected_frequencies
Examples
1 2 | r <- sim_n_persons_x_times(dexp(1:30, rate = .05), n = 50, a = 5:7, times = 100, progress = "none")
prob_categories(r, 4, min.prop = .9)
|
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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