groupcount1D: Generate histogram count for an integer-valued vector.
In NestedCategBayesImpute: Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Generate histogram count for an integer-valued vector.
Usage
1
groupcount1D(g, n)
Arguments
g
An integer-valued input vector. The max value in g is n.
n
The max value in g.
Details
This is implemented as an utility function for 1D histgram count. For efficiency, it does not check if the maximum value in the input vector exceeds the maximum value specified.
Value
The count values.
Author(s)
Quanli Wang
Examples
1
2
3
n <- 20
g <- sample.int(n,1000, replace = TRUE)
counts <- groupcount1D(g,n)
NestedCategBayesImpute documentation built on May 2, 2019, 3:26 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Generate histogram count for an integer-valued vector.
Usage
1 | groupcount1D(g, n)
|
Arguments
g |
An integer-valued input vector. The max value in g is n. |
n |
The max value in g. |
Details
This is implemented as an utility function for 1D histgram count. For efficiency, it does not check if the maximum value in the input vector exceeds the maximum value specified.
Value
The count values.
Author(s)
Quanli Wang
Examples
1 2 3 | n <- 20
g <- sample.int(n,1000, replace = TRUE)
counts <- groupcount1D(g,n)
|
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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