model_matrix: Construct Design Matrix
In ZIprop: Permutations Tests and Performance Indicator for Zero-Inflated Proportions Response
Description
Usage
Arguments
Value
Examples
Description
Creates a design matrix
by expanding factors to a set of dummy variables.
Usage
1
model_matrix(DT, ColNameFactor, other_class)
Arguments
DT
a data table contains the factors and the response.
ColNameFactor
a char vector with the name of the selected factor.
other_class
a char vector with the name of other classes than numeric (factor or char).
Value
return the value.
Examples
1
2
3
4
5
6
library(data.table)
data(example_data)
m = model_matrix (example_data,
colnames(example_data)[-c(1:3)],
other_class = colnames(example_data)[14:23])
print(m)
ZIprop documentation built on June 9, 2021, 5:09 p.m.
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Description Usage Arguments Value Examples
Description
Creates a design matrix by expanding factors to a set of dummy variables.
Usage
1 | model_matrix(DT, ColNameFactor, other_class)
|
Arguments
DT |
a data table contains the factors and the response. |
ColNameFactor |
a char vector with the name of the selected factor. |
other_class |
a char vector with the name of other classes than numeric (factor or char). |
Value
return the value.
Examples
1 2 3 4 5 6 | library(data.table)
data(example_data)
m = model_matrix (example_data,
colnames(example_data)[-c(1:3)],
other_class = colnames(example_data)[14:23])
print(m)
|
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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