norvisualization: Plotcircularplot Metabolomic Study with dataset without QCSs...

In idrblab/NOREVA: R Package for Systematic Optimization of Metabolomic Data Processing

Plotcircularplot Metabolomic Study with dataset without QCSs and ISs.

Description

plot circular plot

Usage

norvisualization(data, outputfile,cutoff="100",outputtype,maxValue,
colorSet, totalAngle,bgColor, fontColor)

Arguments

data	String, the input file name
outputfile	Format string, together with cutoff value and type to generate formatted file name
cutoff	Integer, which means to filter the results, the default is 100
outputtype	Double-precision floating-point number, representing the characteristic value represented by the maximum length of the rectangle, the default is 40
maxValue	Double-precision floating-point number, representing the characteristic value represented by the maximum length of the rectangle, the default is 40
colorSet	Hexadecimal color string group, representing the four-layer color setting of the graph from the inside to the outside, the default is red (#EA4335), blue (#4285F4), yellow (#FBBC05), purple (#800080)
totalAngle	Double-precision floating-point number, representing the total angle of rotation of the drawing, in degrees, the default value is 340
bgColor	Hexadecimal color string, representing the background color of the graphic drawing, the default is white (#FFFFFF).
fontColor	Hexadecimal color string, representing the font color, the default is black (#000000).

Examples

library(NOREVA)
multi_qc_data <- PrepareInuputFiles(dataformat = 1,
rawdata = "Multiclass_with_QCS.csv")
normulticlassqcall(fileName = multi_qc_data,
assum_a="Y", assum_b="Y", assum_c="N")
norvisualization(data = "OUTPUT-NOREVA-Overall.Ranking.Data.csv",
cutoff = "100")

idrblab/NOREVA documentation built on April 17, 2025, 2:04 p.m.