singleVariableTrend: singleVariableTrend()

In PNNL-Comp-Mass-Spec/RomicsProcessor: omics-oriented package for reproducible and sharable data processing pipelines

singleVariableTrend()

Description

This function plots the best fitted trend and a dotplot of the analytes intensities.

Usage

singleVariableTrend(
  romics_object,
  variable = "variable",
  factor = "main",
  log_factor = FALSE,
  title = "auto"
)

Arguments

romics_object	has to be a romics_object created using the function romicsCreateObject() (see dedicated documentation) and has to be numeric.
variable	has to be a character vector. Romics will try to find an exact match or a partial match of the variable in the analytes names (colnames(romics_object$data))
factor	has to be a factor contained in the romics_object created, the list of factor can be extracted using the function romicsFactorNames() (see dedicated documentation)
log_factor	Boolean, indicate if the factor needs to be log transformed (TRUE), or not (FALSE). By default the factor is not transformed
title	this has to be a character vector, either "auto" (in this case the rowname containing the variable will be displayed as title) or a title of your choice.

Details

this function enables to calculate and extract the linear or quardratic trend p values and the best fitted trend (e.g. linear_increasing, linear_decreasing, quadratic_concave,quadratic_convex)

Value

This function returns a list

Author(s)

Geremy Clair and Feng Song

PNNL-Comp-Mass-Spec/RomicsProcessor documentation built on March 18, 2023, 5:14 a.m.