How to make the plots that are all the same color different?

[Watakushi]

Dear community

I would like to change the plots that are all the same color different.

But I prefer the default color scheme.

So I wouldn't like to specify the colors of the plot.

How can I make plots be different colors and have a default color scheme?

x=read.csv("watakushi.csv",header=T,row.names=1)

library("vegan")

nmds=metaMDS(x,distance="bray")

nmds_xy=data.frame(nmds$points)

library("tidyverse")

ggplot(nmds_xy,aes(MDS1,MDS2))

+geom_point(size=3)

nmds_xy
           MDS1         MDS2
21N -0.34087362  0.101920607
21A -0.14167136 -0.001546407
21F  0.28444552  0.223030000
22H  0.26523581 -0.069376792
22N -0.14969636 -0.045022657
22F  0.08256002 -0.209004752

watakushi.csv↓

ggplot↓

[williaml]

Have a look:

Colour related aesthetics: colour, fill, and alpha — aes_colour_fill_alpha • ggplot2 (tidyverse.org)

11 Colour scales and legends | ggplot2 (ggplot2-book.org)

[Watakushi]

Thank you for your quick reply and kindness.

I'll look over them.

Can I ask you one more question?

How do I specify row name to change the plot color?

Do I have to convert watakushi.csv into some data frame?

[williaml]

Are there categories that you are using to colour the points? Are you hoping to colour using one of the other continuous variables?

@Watakushi

Do I have to convert watakushi.csv into some data frame?

Can you provide a reproducible example instead of a screenshot?

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…