plot_ridgeline_ratios_ez <- function(out, varnames = c(names_d_ratio_to_avg, names_d_subgroups_ratio_to_avg), maxratio = 5) { #' @param ratio.to.us.d.bysite named ...

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geom_histogram(aes(y = after_stat(density)), position = "identity", bins = 10, alpha = 0.25, color="black") + ...

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Learn how to choose and create scatter plots, biplots, scree plots, and loadings plots for PCA results in R, using packages like ggplot2, factoextra, and ggbiplot.

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