lmPvalue: univariate T-test p-values.
In LaiJiang/CIVMR: Constrained Instrumental Variables in Mendelian Randomization with Pleiotropy
Description
Usage
Arguments
Value
Examples
View source: R/CIVMR_function.R
Description
Given response $Y$ and a set of features $X$, this
function obtains univariate T-test p-values for each of the feature for selection purpose.
Usage
1
lmPvalue(Y, X)
Arguments
Y:
response variable. n \times 1.
X:
the independent features.n \times p.
Value
pvalue_list: the list of Pvalues for feature selection based on univariate T-test.
Examples
1
2
data(simulation)
p.values <- lmPvalue(simulation$X, simulation$G)
LaiJiang/CIVMR documentation built on July 16, 2020, 12:45 a.m.
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Description Usage Arguments Value Examples
View source: R/CIVMR_function.R
Description
Given response $Y$ and a set of features $X$, this function obtains univariate T-test p-values for each of the feature for selection purpose.
Usage
1 | lmPvalue(Y, X)
|
Arguments
Y: |
response variable. n \times 1. |
X: |
the independent features.n \times p. |
Value
pvalue_list: the list of Pvalues for feature selection based on univariate T-test.
Examples
1 2 | data(simulation)
p.values <- lmPvalue(simulation$X, simulation$G)
|
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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