knitr::opts_chunk$set(collapse = TRUE, comment = "#>", fig.width = 5, fig.height = 4.5, fig.align = "center")
library(ggords) require(vegan) require(ggplot2) data(Spes) data(Envs)
# Hellinger-transform the species dataset Spe.hel <- decostand(Spes, "hellinger") Spe.w <- hclust(dist(scale(Spes)), "ward.D") gr <- cutree(Spe.w , k=4) grl <- factor(gr)
Spe.rda <- rda(Spe.hel, Envs) #head(summary(Spe.rda))
ggrda(Spe.rda)
ggrda(Spe.rda, group = grl)
ggrda(Spe.rda, group = grl, spacol = "white") + theme_dark()
# library(ggthemr)#https://github.com/cttobin/ggthemr # chalk_theme <- ggthemr('chalk', set_theme = FALSE) # fd_theme <- ggthemr('flat dark', set_theme = FALSE) # p <- ggrda(Spe.rda, group = grl, spacol = "white") # p + chalk_theme$theme # p + fd_theme$theme
ggrda(Spe.rda, group = grl, spearrow = NULL)
ggrda(Spe.rda, group = grl, spearrow = NULL) + scale_color_manual(name = "Groups",values = c("red2", "purple1", "grey20","cyan")) + scale_shape_manual(name = "Groups",values = c(8,15,16,17))
ggrda(Spe.rda, group = grl, spearrow = NULL, ellipse = TRUE) + scale_colour_hue(l = 70, c = 300)
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