similar to: Is there an equivalent of "echo"

I've been tweaking code for several days on and off in R, cut and pasting in from a text editor (I just leave them open all the time). I think I got something that was usable but then a powersurge tripped the fuses and unfortunately the machine I was working on doesn't have a UPS. Does R hold the command data in cache some place? I've purposefully not opened R since the crash so

I might be missing something really obvious, but is there an easy way to locate all non-unique values in a data frame? Example mydata <- numeric() mydata$id <- 0:8 mydata$unique <- c(1:5, 1:4) mydata$result <- c(1:3, 1:3, 1:3) > mydata $id [1] 0 1 2 3 4 5 6 7 8 $unique [1] 1 2 3 4 5 1 2 3 4 $result [1] 1 2 3 1 2 3 1 2 3 What I want to to be able to get some form of data output

I have some data which is censored and I want to determine the median. Its actually cost data for a cohort of patients, many of whom are still on treatment and so are censored. I can do the same sort of analysis for a survival curve and get the median survival... ...but can I just use the survival curve functions to plot an X axis that is $ rather than date? If not is there some other way to

I'm hoping I'm missing some (probably fundamental basic process) which might make my life easier! Lets assume I have a 3 column table summarizing results from a trial from three arms (Arm A, B and C). For each arm there will be a number of pieces of information to report. The simplest example might be to compare this to the demographic comparisons often seen in clinical traisl where you

I have a dataset which for the sake of simplicity has two endpoints. We would like to test if two different end-points have the same eventual meaning. To try and take an example that people might understand better: Lets assume we had a group of subjects who all received a treatment. The could stop treatment for any reason (side effects, treatment stops working etc). Getting that data is very

Before I go and do this another way - can I check if anyone has a way of looping through data in odfWeave (or possibly sweave) to do a repeating analysis on subsets of data? For simplicity lets use mtcars dataset in R to explain. Dataset looks like this: > mtcars mpg cyl disp hp drat wt ... Mazda RX4 21.0 6 160 110 3.90 2.62 ... Mazda RX4 Wag 21.0 6 160 110 3.90

I may be doing this wrong! but I have a function which I have simplified a lot below. I want to pass some 'field names' of a data-frame to the function for it to then do some manipulation of. Here's my code: #build a simple dataset mydataset = data.frame (

This may be a really obvious question but I just can't figure out how to do it. I have a small dataset that I am trying to compare to some controls. It is essential that the controls are matched on Cancer Stage (a numerical factor between 1 and 4), and then ideally on Age (integer), Gender (factor), Performance Status(factor). I'm using matchit to try and do this, but it seems to give

I tried to post this a few times last week and it seems to have got stuck somehow so I'm trying from a different email in the hope that works. If somehow this has appeared on the list 20 tiems and I never saw any of them I apologize ;-) I'm basically an R-newbie. But I am VERY computer literate. But this has me stumped... All the examples for using the rmeta package to create a

Thanks Ivan and Calum I continue to appreciate your support. Calum, I entered the code snippet you provided, and it returns 'file missing'. Looking at this, while the object 'full_filename' exists, what is happening is that the path from getwd() is being appended to the title of the article, but without the '/' between the end of the path name (here 'TEST' and

help(read_docx) says that the function only imports one docx file. In > order to read multiple files, use a for loop or the lapply function. > I told you people will suggest better ways to loop!! > > docx_summary(read_docx("Now they want us to charge our electric cars > from litter bins.docx")) should work. > Ivan thanks for spotting my fail! Since the OP is new to

Hi, I'm sure this should be simple but I can't figure it out! I want to get the median survival calculated by the survfit function and use the value rather than just be able to print it. Something like this: library(survival) data(lung) lung.byPS = survfit(Surv (time, status) ~ ph.ecog, data=lung) # lung.byPS Call: survfit(formula = Surv(time, status) ~ ph.ecog, data = lung) 1

Sorry this may well be defined as Off Topic. I apologize in advance. I am interested in performing what I think would be a probabilistic sensitivity simulation. I've done some crude ones before in excel but I'm wondering if R can help me do it more effectively? I have a set of theoretical variables for simplicity lets use (what I think) is an easier example: I have a peg and a hole

On Thu, 1 Jun 2017, POLWART, Calum (COUNTY DURHAM AND DARLINGTON NHS FOUNDATION TRUST) via R-help wrote: > Before I go and do this another way - can I check if anyone has a way of > looping through data in odfWeave (or possibly sweave) to do a repeating > analysis on subsets of data? > > For simplicity lets use mtcars dataset in R to explain. Dataset looks like this: >

full_filename <- paste(filepath, filename,sep="/") On Sat, Dec 30, 2023 at 1:45?PM Andy <phaedrusv at gmail.com> wrote: > Thanks Ivan and Calum > > I continue to appreciate your support. > > Calum, I entered the code snippet you provided, and it returns 'file > missing'. Looking at this, while the object 'full_filename' exists, what > is

Hi Eric Thanks for that. That seems to fix one problem (the lack of a separator), but introduces a new one when I complete the function Calum proposed:Error in docx_summary() : argument "x" is missing, with no default The whole code so far looks like this: # Load libraries library(tcltk) library(tidyverse) library(officer) filepath <- setwd(tk_choose.dir()) filename <-

Admit it, Rolf. Haven't you wondered if S, in a more private way, is sexier than R? OK, kidding aside, we have talked this to death. Just FYI, the conversation was stimulating for some of us and I have continued on my own and located functions I see as useful in the stringi and stringr packages to make my silly version ever less silly! LOL! -----Original Message----- From: Rolf Turner

On Sat, 28 Sep 2024 10:26:31 +0100 CALUM POLWART <polc1410 at gmail.com> wrote: > Avi > > I fear this was all a huge social experiment. > > Testing if a post titled "sexy way" would increase engagement... <SNIP> I conjecture that this conjecture was tongue-in-cheek. Be that as it were ??, let me assure everyone that such was not my intention. The usage

"Or use <<- assignment I think. (I usually return, but return can only return one object and I think you want two or more" You can return any number of objects by putting them in a list and returning the list. Use of "<<-" is rarely a good idea in R. -- Bert On Fri, Aug 9, 2024 at 1:53?AM CALUM POLWART <polc1410 at gmail.com> wrote: > > OK. The fact

OK. The fact it's in a function is making things clearer. Are you trying to update the values of an object from within the function, and have them available outside the function. I don't speak functional programming articulately enough but basically v <- 1 funA <- function() { v <- v+1 } funA() cat (v) # 1 You either return the v from the function so funB <- function() {