sim_unimodal: Simulate different unimodal distributions.
In jagonzalb/SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating
Description
Usage
Arguments
Details
Value
Description
Simulate different unimodal, skewed distributions based
on different mean and variance parameters.
Usage
1
sim_unimodal(n, x_mean, x_var, N_item, seed = NULL, name = NULL)
Arguments
n
Size of the simulated distribution
x_mean
Mean
x_var
Variance
N_item
Number of items simulated
seed
(Optional) Set a random seed
name
(Optional) Sample based on the names given by
Keats & Lord (1962).
Options are: "GANA", "MACAA", "TQS8", "WM8", "WMI".
Details
All the inner working of this procedure can be seen
in Keats & Lord (1962).
Value
Simulated values
jagonzalb/SNSequate documentation built on May 18, 2019, 9:07 a.m.
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Description Usage Arguments Details Value
Description
Simulate different unimodal, skewed distributions based on different mean and variance parameters.
Usage
1 | sim_unimodal(n, x_mean, x_var, N_item, seed = NULL, name = NULL)
|
Arguments
n |
Size of the simulated distribution |
x_mean |
Mean |
x_var |
Variance |
N_item |
Number of items simulated |
seed |
(Optional) Set a random seed |
name |
(Optional) Sample based on the names given by Keats & Lord (1962). Options are: "GANA", "MACAA", "TQS8", "WM8", "WMI". |
Details
All the inner working of this procedure can be seen in Keats & Lord (1962).
Value
Simulated values
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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