Closed StephTs closed 2 years ago
Hi. I use the example data to show the operation.
library(microeco)
data(dataset)
t1 <- trans_beta$new(dataset = dataset, measure = "bray", group = "Group")
t1$cal_ordination(ordination = "PCoA")
View(t1$res_ordination$scores)
The PCo1, PCo2 and ... in t1$res_ordination$scores
may be the scores you need. So you can directly access the t1$res_ordination$scores
to extract them.
That's great, thank you so much - works perfectly!
Hello,
Thank you very much for this amazing package!
I'm interested in doing Spearman's correlation on the PCoA coordinates but I'm not sure how to extract the scores - Is there a way of doing it? I'm sorry if this is obvious, I'm a bioinformatics newbie.
My current code is: `A3 <- trans_beta$new(dataset = A_dataset, group = "Treatment", measure = "bray")
A3$cal_ordination(ordination = "PCoA")
A3$plot_ordination(plot_color = "Treatment", plot_shape = "Location", plot_type = c("point", "ellipse"))`
Thank you!