JS.uni_em: A complete table for univariable survival analysis

Description Usage Arguments Value Examples

View source: R/JSuni_em.R

Description

JS.uni_em output the table with general multivariable survival analysis result with Number of total patients, Number of Events, Estimated Median, HR (95% Confidence Interval),P value. This function only change the format of the output table.

Usage

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JS.uni_em(Data, Event, Stime, Svar, groupn, Cat = F)

Arguments

Event

The status indicator, normally 0=alive, 1=dead

Stime

This is the follow up time

Svar

A vector of group

groupn

A text vector of the the group name for output

Cat

logical, indicating whether or not Svar is a categorical varaible

D

A data.frame in which to interpret the variables

Value

A dataframe of coxph output including Number of total patients, Number of Events, HRs (95% Confidence Intervals), P values,

Examples

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JS.uni_em(D = D ,"pd_censor", "pd_surv" , "tr_group", "Treatment" , Cat = T)

rtf output
rtf<-RTF("Table_survival.doc",width = 8.5, height = 11, font.size = 10, omi = c(1,1,1,1))
addHeader(rtf,title="Table , Survival Analysis  ")
addTable(rtf,isup_m.surv, font.size = 10, row.names = F, NA.string="-", col.widths = c(rep(0.6, 3), 2, rep(0.6, 3) ) )
done(rtf))

Rmarkdown output
save(isup_m.surv, file='myfile.Rda')

Then open at markdown file
library(knitr)
load("H:/Projects/myfile.Rda")
"```{r, echo=FALSE,results = 'asis'}"
load("H:/Projects/p_Smith, Mitchell/Rituxan/Rituxan/T_BMI.Rdata")
knitr::kable(isup_m.surv, format = "markdown")

SophiaJia/Jsurvformat1.2 documentation built on May 10, 2017, 2:33 p.m.