scatter_plotly: volcano plotly

In wolski/prolfqua: Proteomics Label Free Quantification

volcano plotly

Description

volcano plotly

Usage

scatter_plotly(
  .data,
  dx = "diff.protein",
  dy = "diff.site",
  contrast = "condition",
  proteinID = "protein_Id",
  color = "modelName",
  palette = NULL,
  title_size = 25,
  group = "BB"
)

Arguments

.data	data frame
proteinID	column with protein ids
effect	effect size x-axis
significance	significance
xintercept	vertical abline at x
yintercept	horizontal abline at y

Examples

data <- data.frame(diff.protein = c(-1,0,1,2,8), diff.site = c(0.01,1, 0.01, 0.005,0),
condition = rep("A",5), protein_Id = LETTERS[1:5], modelName = c("A","A","B","A","A"))

dataB <- data.frame(diff.protein = c(-1,0,1,2,8), diff.site = c(0.01,1, 0.01, 0.005,0),
condition = rep("B",5), protein_Id = LETTERS[1:5],modelName = c("A","A","B","B","B"))
data <- dplyr::bind_rows(data, dataB)
bc <- scatter_plotly(data, palette = c(A = "black" , B = "red"))
bc[[1]]
bc[[2]]
bc |> plotly::subplot()

wolski/prolfqua documentation built on June 8, 2025, 5:19 a.m.