CutFlow: CutFlow

In HHayman/FlowR: Carries out a selected workflow

CutFlow

Description

CutFlow

Usage

CutFlow(
  Subdirectory,
  TrainingData,
  CutPointStatus,
  CutPointTime,
  minprop = 0.1,
  Variables,
  Greyscale = FALSE
)

Arguments

Subdirectory	A subdirectory of your working directory, in which you store your dataset CSV files. Required.
TrainingData	The name of your training dataset, which is used to generate cutpoints. Required.
CutPointStatus	The survival status you wish to use to define your cutpoints. Required.
CutPointTime	The time variable you wish to use to define your cutpoints. Required.
minprop	The minimum proportion of cases to be included in a group. Default is 0.1 if none is provided.
Variables	A list of all variables you wish to be included. Names must match and be identical across datasets. Required.
Greyscale	Use 'TRUE' if a greyscale plot is wanted. Otherwise, red/blue is the default palette.

Value

CutFlow returns a folder with subdirectories, containing your input datasets, the otput of cutpoint generation and coded versions of your datasets.

Author(s)

Hayman, [e-mail] This function takes in a dataset(s), produces cut points using the maximally selected rank statistic and recodes your datasets.

Examples

CutFlow(Subdirectory = "CutFlowData", TrainingData = "Glasgow", CutPointStatus = "CSS", CutPointTime = "CSS_2017", minprop = 0.1, Greyscale = TRUE, Variables = c( "GD_PercPositiveCellsinHealthyTissue", "GD_PercPositiveCellsinTumourTissue",  "CD8_PercPositiveCellsinHealthyTissue", "CD8_PercPositiveCellsinTumourTissue"))

HHayman/FlowR documentation built on April 13, 2022, 11:31 p.m.