I am trying to plot a text table like below in R but with no luck. Any idea how this could be done? I want table with highlighted cells according to text Example, Cell highlight in green if text is a2, and blue if text is b2, half green and half yellow if text is a2/f1. In the following example ID is the sample ID and Column name is the name of the segment of the genome. Column values are the segment designation. Here is an example of what I am aiming at (Figure 5 of the manuscript) https://www.tandfonline.com/doi/pdf/10.1038/emi.2017.60.
table1
ID AA AB AC AD AE
1 a2 a2 b1 c1 a2
2 b1 a2 a2/f1 c1 a2
3 b1 b1 a2/f1 c1 a2
data<-read.table("mydata", header=TRUE)
do not know how to go any further. Ill appreciate any help.
2 answers
Like RamRS is already telling you, it is not something R is useful for. However, it is possible with package crayon. The following example is taken from this blog.
library(crayon)
cat(green(
'I am a green line ' %+%
blue$underline$bold('with a blue substring') %+%
yellow$italic(' that becomes yellow and italicised!\n')
))
It works in the linux R console, but not on windows.
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Please expand on how this question is related to bioinformatics. If this is not bioinformatics, please ask Stack Overflow.
You're looking for something like Excel's Conditional Formatting. R is a data processing language, unless you use visualization libraries (markdown or HTML libraries), adding colors to text is not something R is particularly useful for. You might benefit from using HTML and javascript/jQuery to get this done.
Added some information about the example data.
This question is not about bioinformatics...
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Since it is a biological dataset I think Biostars community suits it the best. This particular problem aims at visualizing a viral gene segment from different samples and understand its origin. There are all sort of biological datasets and this might be a new one for the community. Here is an example of what I am aiming at (Figure 5 of the manuscript) https://www.tandfonline.com/doi/pdf/10.1038/emi.2017.60.
Please edit your question and mention the paper and the figure so it is evident you're dealing with biological data. I'll reopen your question now.