View source: R/highlight_miami.R
| highlight_miami | R Documentation | 
Make highlight data.frame for miami plot
highlight_miami(
  data,
  highlight,
  highlight_col,
  highlight_color = "green",
  logged_p = "logged_p",
  rel_pos = "rel_pos"
)
| data | A data.frame object. Required. | 
| highlight | A vector of SNPs or gene names you would like to highlight. Defaults to NULL. If you specify this, you must also specify highlight_col so that we know where to find the items. | 
| highlight_col | The column where the values you provide in
 | 
| highlight_color | The color that you would like the highlighted SNPs or genes to be. Defaults to "green." | 
| logged_p | The name of the column containing your logged p-value
information. Defaults to "logged_p," assuming data preparation with
 | 
| rel_pos | The name of the column containing the positon of each
SNP/probe relative to all other SNPs/probes in the genome. Defaults to
"rel_pos," assuming data preparation with  | 
A data.frame with three columns: relative position, logged p-value, and highlight color.
Julie White
https://github.com/juliedwhite/miamiplot
 ## Not run: 
 # You can provide a list of SNP / gene names
 upper_highlight <- highlight_miami(data = plot_data$upper,
                                     highlight = c(rs1, rs2, rs3, ..., rsN),
                                     highlight_col = "rsid")
 # Or an object containing those names.
 upper_highlight <- highlight_miami(data = plot_data$upper,
                                     highlight = snps_of_interest,
                                     highlight_col = "rsid")
 # When highlighting, the items in 'highlight' must all come from a single
 # column. Specifying multiple columns in highlight_col will return an error.
 highlight_miami(data = df, split_by = "study", split_at = "A",
                 highlight = snps_of_interest,
                 highlight_col = c("rsid", "gene"))
 
## End(Not run)
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