Hi Bert,

I am sorry to bother you on weekend.

I am still struggling on defining a correct function.

I first defined the function RFS (see below), then run it by provide the two 
argument.

m52.2cluster <-RFS(inputfile =allinfo_m52, N=2 )

I do not get error message, but no figure displays on screen. I do not know 
what is going on.

Can you help me a little more on this issue?

Thank you,

Ding

# function to generate RFS
RFS <- function( inputfile, N ) {
  cluster<- survfit(Surv(RFS_days2, OV_Had_a_Recurrence_CODE) ~ clusters,
                               data = inputfile)

         if( N==2) {palette <- c("red", "black")
                           legend.labs <- c("Cluster1", "Cluster2")
                            }

  else if(N==3) {palette <- c("red", "black", "green")
                      legend.labs <- c("Cluster1", "Cluster2", "Cluster3")
                            }

                 else {palette <- c("red", "black","green", "blue")
                           legend.labs <- c("Cluster1", "Cluster2", "Cluster3", 
"Cluster4")
                          }

  ggsurvplot(cluster, data = inputfile, risk.table = F,
             palette = palette,
             ylim=c(0,1),ggtheme = theme_bw(),xlab="Relapse Free Suvival 
(Days)",
             main = "Survival curve",pval = TRUE,font.x =  16,font.y = 16,
             font.tickslab = 14,font.legend =c(14,"plain","black"),
             legend = "bottom",
             legend.title = "Tree Cluster",
             legend.labs = legend.labs,
             lty=1, lwd=3)
                                }

From: Bert Gunter [mailto:bgunter.4...@gmail.com]
Sent: Sunday, January 14, 2018 9:50 AM
To: Ding, Yuan Chun <ycd...@coh.org>
Subject: Re: [R] consolidate three function into one

I have not looked at your code *at all*, so I am not sure what exactly you mean 
by "consolidate."
Is this what you are after?

f1 <- function(...) { code 1}
f2 <- function(...) { code 2}
f3 <- function(...) { code 3}
## can be "consolidated as":
f <- function( someargs, ...){
if( expr(someargs)) f1(...)
else if(expr2(someargs)) f2(...)
else f3(...)
}
The "..." argument to f can soak up any named additional arguments you wish to 
pass to f1, f2, or f3.
My apologies if this is offbase or too vague, and feel free to ignore in that 
case. I don't have the patience to go trough your code in detail. Others may 
and give you what you want.
Cheers,
Bert



Bert Gunter

"The trouble with having an open mind is that people keep coming along and 
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Sun, Jan 14, 2018 at 9:17 AM, Ding, Yuan Chun 
<ycd...@coh.org<mailto:ycd...@coh.org>> wrote:
HI R users,

I construct dendrogram tree and cut the tree into different clusters, then 
generate survival curves by the following three functions. All variables are 
included in an inputfile.

Can you help me to consolidate the following three function into one functions? 
 I thought about using if  else function, but not sure how to do it.

Thank you,

Ding

# function to generate RFS
RFS2cluster <- function( inputfile ) {
  cluster2<- survfit(Surv(RFS_days, OV_Had_a_Recurrence_CODE) ~ clusters,
                               data = inputfile)

  ggsurvplot(cluster2, data = inputfile, risk.table = F,
             palette = c("red", "black"),
             ylim=c(0,1),
             ggtheme = theme_bw(),
             xlab="Relapse Free Suvival (Days)",
             main = "Survival curve",
             pval = TRUE,
             font.x =  16,
             font.y = 16,
             font.tickslab = 14,
             font.legend =c(14,"plain","black"),
             legend = "bottom",
             legend.title = "Tree Cluster",
             legend.labs = c("Cluster1", "Cluster2"), lty=1, lwd=3)
}

RFS3cluster <- function( inputfile ) {
  cluster3<- survfit(Surv(RFS_days, OV_Had_a_Recurrence_CODE) ~ clusters,
                     data = inputfile)

  ggsurvplot(cluster3, data = inputfile, risk.table = F,
             palette = c("red", "black", "green"),
             ylim=c(0,1),
             ggtheme = theme_bw(),
             xlab="Relapse Free Suvival (Days)",
             main = "Survival curve",
             pval = TRUE,
             font.x =  16,
             font.y = 16,
             font.tickslab = 14,
             font.legend =c(14,"plain","black"),
             legend = "bottom",
             legend.title = "Tree Cluster",
             legend.labs = c("Cluster1", "Cluster2", "Cluster3"), lty=1, lwd=3)
}

RFS4cluster <- function( inputfile ) {
  cluster4<- survfit(Surv(RFS_days, OV_Had_a_Recurrence_CODE) ~ clusters,
                     data = inputfile)

  ggsurvplot(cluster4, data = inputfile, risk.table = F,
             palette = c("red", "black", "green", "blue"),
             ylim=c(0,1),
             ggtheme = theme_bw(),
             xlab="Relapse Free Suvival (Days)",
             main = "Survival curve",
             pval = TRUE,
             font.x =  16,
             font.y = 16,
             font.tickslab = 14,
             font.legend =c(14,"plain","black"),
             legend = "bottom",
             legend.title = "Tree Cluster",
             legend.labs = c("Cluster1", "Cluster2", "Cluster3", "Cluster4"), 
lty=1, lwd=3)
}

-----Original Message-----
From: R-help 
[mailto:r-help-boun...@r-project.org<mailto:r-help-boun...@r-project.org>] On 
Behalf Of imane hajar
Sent: Friday, January 12, 2018 7:42 AM
To: r-help@r-project.org<mailto:r-help@r-project.org>
Subject: [R] Help with packages (methods, stats, stats4)

[Attention: This email came from an external source. Do not open attachments or 
click on links from unknown senders or unexpected emails.]





hello,
Can you please give me a hand with this problem,well i can't install these
packages:
- stats
- methods
- stats4

when i tried the following command :  *library(help = "stats") * , it gave me 
this output (*see picture*), so i contacted the Maintainer of the package at 
(*r-c...@r-project.org<mailto:r-c...@r-project.org> 
<r-c...@r-project.org<mailto:r-c...@r-project.org>>*) but he said that i write 
to the wrong place.

(i want to install those packages in order to use the "DVstats" package)

(i have the latest version of R (3.4.3 ) and Rstudio(1.2.240) )

thank you
Regards


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