romicsTrend: romicsTrend()

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

romicsTrend()

Description

This function extract the linear and quadratic trend pvalues and direction based on the pvalue it attributes the best fitted trend

Usage

romicsTrend(
  romics_object,
  factor = "main",
  log_factor = FALSE,
  type = "both",
  p = 0.05
)

Arguments

romics_object	has to be a romics_object created using the function romicsCreateObject() (see dedicated documentation) and has to be numeric.
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
type	indicates if linear and/or quadratic trends analysis have to be performed, has to be 'both', 'linear',or 'quadratic'.
p	indicates the minimal fitting p-value to be considered.

Details

This function allows to calculate the linear and quadratic p value and estimate the best fitting model

Value

This function returns a romics_object with new columns in the stat layer corresponding to the best fitting model, and the linear and/or quadratic p-values

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