R colors choose
Hi,
I do not know how set the colors parameter to reproduce the following picture. (I know I should use R package :wordcloud tool)
picture url: 
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winter_li •
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Hello winter_li!
We believe that this post does not fit the main topic of this site.
Not a bioinformatics question.
For this reason we have closed your question. This allows us to keep the site focused on the topics that the community can help with.
If you disagree please tell us why in a reply below, we'll be happy to talk about it.
Cheers!
P.S. Not a tutorial & nobody but you can see your picture because it's only a local file.
Please edit your question and include links to where you found it, and what you have tried, e.g. R-code
Hi,
This is a bioinformatics question about R package usage. You can check my picture and will find this picture is to represent the relationship between gene names and the number of variants from genes.
So hope you open my question, Thank you!
Btw.: This looks like a very bad visualization, why would you want to reproduce it?
I find this picture from a paper published at PNAs. bad? how to set colors parameters to become good??
That it's published (even in PNAS) doesn't mean it's a good visualization for the given purpose, certainly this view is subjective, but: I consider it a bad visualization because it doesn't seem to convey more information intuitively than a simple top 7 table of genes and score values, rather less. There are lot of unreadable labels, only the largest 7-10 or so are readable. It is not clear how the names are arranged. Is there some semantic relationship, what would it be? What variable does the color convey? Now it looks like all parameters correlate with the same variable: color, centrality (position), font size seem to correlate with some score, e.g. nr of SNP's? What does the layout of the nodes convey about the structure of term relations?
Possibly, if you could link the article, it would become more obvious. If it was a really good visualization the questions would be obvious from just looking at it.