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#| label = "getLibs" library(tidyverse) library(broom) library(knitr)
#| label = "{{DataName}}.pc" {{DataName}}.pc = {{DataName}} |> select(where(is.numeric)) |> prcomp(center=TRUE, scale=FALSE)
#| label = "GetVariances" {{DataName}}.pc |> tidy(matrix = "pcs") |> kable(caption="Principal Component contributions for the {{DataName}} data.")
#| label = "ScreePlot{{DataName}}.pc", #| fig.cap = "Scree plot for the principal components analysis of the #| {{DataName}} data." {{DataName}}.pc |> plot()
#| label = "getLoadings" {{DataName}}.pc$rotation |> kable(caption="Principal Component Loadings for the {{DataName}} data.")
#| label = "biplot{{DataName}}.pc", #| fig.cap = "Biplot for the {{DataName}} data." {{DataName}}.pc |> biplot()
#| label = "augment{{DataName}}.pc" {{DataName}}.pc.fit = {{DataName}}.pc |> augment({{DataName}})
#| label = "scatter{{DataName}}.pc", #| fig.cap = "Scatter plot of the first and second principle component #| scores." {{DataName}}.pc.fit |> ggplot(aes(x=.fittedPC1, y=.fittedPC2)) + geom_point(size = 1.5)
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