> On Oct 7, 2017, at 1:32 PM, Rolf Turner wrote:
>
> On 07/10/17 12:16, Peter Wagey wrote:
>> Hi R users,
>> I was struggling to put the results into table format. Would you mind to
>> show using following data and code how we can put the results into table? I
>> further would like to have a co
On 07/10/17 12:16, Peter Wagey wrote:
Hi R users,
I was struggling to put the results into table format. Would you mind to
show using following data and code how we can put the results into table? I
further would like to have a confidence interval for each group.
set.seed(1000)
data <- as.data
Hi Christofer,
The directory /srv/shiny-server would normally be owned by the root user.
Your options would seem to be to either (1) bring up the R session as root
(dangerous)
or (2) try copying the file to your local directory and read it from there
(if allowed).
e.g. from the Unix shell:
> cd ~
Hi again,
I hope this is the right place to post my question on running R within
Ubuntu, however if not, any pointer on right distribution list will be
helpful.
I am currently using R in Ubuntu which is hosted in Amazon - AWS.
I have a .Rdata file in AWS which I am trying to load in R. Used
foll
> On Oct 7, 2017, at 9:01 AM, Ted Beginner (RStudio) via R-help
> wrote:
>
>
> For adjusted survival curves I took the sample code from here:
> https://rpubs.com/daspringate/survival
> and adapted for my date, but ... have a QUESTION.
>
> library(survival)
> library(survminer)
> df<-read.csv
Change the columns into factors before you give them to the coxph function, e.g.
df$treatment <- factor( df$treatment )
--
Sent from my phone. Please excuse my brevity.
On October 7, 2017 5:01:19 PM GMT+01:00, "Ted Beginner (RStudio) via R-help"
wrote:
>
>For adjusted survival curves I took t
> On Oct 6, 2017, at 6:17 PM, Akram Alhadainy wrote:
>
> Hi,
> I need to write two inequalities depend on cumulative distribution (CDF) of
> beta binomial distribution where alpha and beta are unknown and need to
> find them.
> CDF of betabinomial(2,10,alpha,beta) <0.3<=CDF of
> betabinomial(3,1
For adjusted survival curves I took the sample code from here:
https://rpubs.com/daspringate/survival
and adapted for my date, but ... have a QUESTION.
library(survival)
library(survminer)
df<-read.csv("base.csv", header = TRUE, sep = ";")
head(df)
ID start stop censor sex age stage treatment
1
> On 7 Oct 2017, at 04:58 , Ted (Beginner) via R-help
> wrote:
>
>
> For adjusted survival curves I took the sample code from here:
> https://rpubs.com/daspringate/survival
> and adapted for my date, but got error.
> I would like to understand what is my mistake. Thanks!
>
> #ADAPTATION FOR
9 matches
Mail list logo