pretty_pca_plot: Pretty PCA Plot

In nibortolum/brunisol: Useful functions for the subawesome Brunii morphotype

Description

This function takes a PCA object and a dates vector. The dates are processed and split in day, months, and years. The pca is then plotted and points are connected through time, to see the evolution of the lake communities.

Usage

pretty_pca_plot(obj, dates, type = "default", ...)

Arguments

obj	A PCA object computed with prcomp or princomp
dates	a vector of dates
type	'default' or 'ggplot' to decide which kind of graph you want to do
...	optional parameters to be passed to the plot function

Value

a beautiful plot

Examples

year <- c(rep(2014,12), rep(2015, 12), rep(2016, 12))
month <- rep(1:12, 3)
day <- sample(1:28, 36, replace = TRUE)
my_date <- paste(year, month, day, sep="-")


data <- matrix(ncol = 10,
               nrow = 36,
               data = rnorm(360))

data.pca <- prcomp(data)
pretty_pca_plot(data.pca, my_date, main = "test plot")

nibortolum/brunisol documentation built on Nov. 4, 2019, 10:14 p.m.