CompFlow: Compflow

In HHayman/FlowR: Carries out a selected workflow

Compflow

Description

Compflow

Usage

CompFlow(Data, ICCModel = NULL, ICCType = NULL, ICCUnit = NULL, Density = "No")

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.
Palette	Use 'Greyscale' if a greyscale plot is wanted. Otherwise, red/blue is the default palette.

Value

CompFlow returns a scatter plot, a Bland-Altman plot and an accompanying ICC.

Author(s)

Hayman, [e-mail] This function takes in data for two sets of measurements and produces a comparison.

Examples

CutFlow(Subdirectory = "CutFlowData", TrainingData = "Glasgow", CutPointStatus = "CSS", CutPointTime = "CSS_2017", minprop = 0.1, Variables = c("GD_PercPositiveCellsinHealthyStroma", "GD_PercPositiveCellsinHealthyEpithelium", "GD_PercPositiveCellsinHealthyTissue", "GD_PercPositiveCellsinTumourStroma", "GD_PercPositiveCellsinTumourEpithelium", "GD_PercPositiveCellsinTumourTissue", "CD8_PercPositiveCellsinHealthyStroma", "CD8_PercPositiveCellsinHealthyEpithelium", "CD8_PercPositiveCellsinHealthyTissue", "CD8_PercPositiveCellsinTumourStroma", "CD8_PercPositiveCellsinTumourEpithelium", "CD8_PercPositiveCellsinTumourTissue"))

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