pcLollipop: Create Lollipop Plots of Principal Component Loadings
In hmumme/bmi585hmumme: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Examples
Description
Create Lollipop Plots of Principal Component Loadings
Usage
1
pcLollipop(x)
Arguments
x
numerical dataframe, or tibble
Value
plotting object for lollipop plots of principal components of x
Examples
1
2
x = data.frame(data = matrix(c(4,5,2,10,2,8,4,5,6), ncol = 3))
plot = pcLollipop(x)
hmumme/bmi585hmumme documentation built on Dec. 20, 2021, 4:46 p.m.
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Description Usage Arguments Value Examples
Description
Create Lollipop Plots of Principal Component Loadings
Usage
1 | pcLollipop(x)
|
Arguments
x |
numerical dataframe, or tibble |
Value
plotting object for lollipop plots of principal components of x
Examples
1 2 | x = data.frame(data = matrix(c(4,5,2,10,2,8,4,5,6), ncol = 3))
plot = pcLollipop(x)
|
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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