tri.surv: Survival Analysis of Triplets

Description Usage Arguments Details Value See Also Examples

View source: R/tri.surv.R

Description

Generate plots describing expression and survival comparison for train/test sample groups of a triplet (or triplets).

Usage

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tri.surv(tri, exp.sur, train, test, index = 1)

Arguments

tri

a character string dataframe (or matrix) specifying triplets in which the first column is modulator,the second is effector,the third is target.

exp.sur

a dataframe specifying expression and survival information.Its rownames are sample names.Its colnames are factor names in triplets and survival tag (see example data in details).

train

a character string vector specifying train sample names.

test

a character string vector specifying test sample names.

index

a numeric vector (default 1) reprsenting rowindex of triplets analyed.

Details

Note:All the arguments without default value must be assigned.

For the output,a triplet corresponds 6 plots,3 for train samples and 3 for test samples.For train sameples,one plot is to show expression of triplet,another is to show risk scores,the other is comparison of survivorship curve between highrisk and lowrisk sameples.

Value

A dataframe whose rows represent different triplets while columns represent 15 kinds of information on the triplet. The columns are:

See Also

coxph,Surv,survdiff

Examples

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#a triplet
tri.surv(tri=datatests[["tri_bs"]],exp.sur=datatests[["exp_sur"]],
         train=datatests[["train"]],test=datatests[["test"]])
#two triplets(or more)
tri.surv(tri=datatests[["tri_bs"]],exp.sur=datatests[["exp_sur"]],
         train=datatests[["train"]],test=datatests[["test"]],
		 index=c(1,2))

LncMod documentation built on May 30, 2017, 12:35 a.m.