compareROC: Produce time dependent KM-ROC curves

In shijianasdf/BasicBioinformaticsAnalysisFromZhongShan: Launch Usual Clinical tool for Kind Yield

Description

compareROC can help produce a time dependent KM curve,such as 1-year,3-year or 5-year KM curves.

Usage

compareROC(data, i.values, merge.i.values, timecutoff, roc.type, color,
  output.name, return.plot)

Arguments

data	a data frame with survival data like time and status
i.values	c("PNI1","NIHrisk").colnames of markers
merge.i.values	list(merge1 = i.values).a list of merge markers selection
timecutoff	c(1-365,3-365,5-365).cut-off for time series
roc.type	c("ggplot","pROC")[1].ggplot recommanded
color	brewer.pal(12, "Set3")[c(1,3,4)].curve colors
output.name	part of PDF output name

Author(s)

Weibin Huang<[e-mail]>

Examples

data(fat)
# markers=c("BMI","Waist","WHR","belly fat thickness") #marker colnames
# status =  "outcomes" #survival status
# merge.markers = list(c("BMI","Waist"))# the markers list that you want to merge as a co-prognostic factor
# return.plot = T # if T，return plot;if F，return data
# roc.type = c("ggplot","pROC")[1] # ggplot style is recommanded
# title="this is a title" # plot title
# color = brewer.pal(12, "Set3")[1:5] #curve colors.The lenght of colors must >= the number of curves.
# output.name = "ROC of something" # part of PDF name
compareROC2(data=fat,
            markers,
            status,
            merge.markers=NULL,
            return.plot=T,
            roc.type,
            title,
            color,
            output.name="test1")

shijianasdf/BasicBioinformaticsAnalysisFromZhongShan documentation built on Jan. 3, 2020, 10:08 p.m.