search for: recurrent

Hi, I'm a new user of the R package, and I need to generate recurrence plots for a set of 56 time series data. The package tseriesChaos has the function "recurr" that gives a plot. But what I really need are the recurrence plot parameters that are calculated from each plot (like %recur, %det, trend, etc...) and that can be stored dynamically in a output file for all the 56 datasets.

...MI recurrence, you must ignore it. Which means that even patient with 4 recurrence times has only four rows. How can I do it with R ? Any suggestions will be more than welcome. Avi -- View this message in context: http://r.789695.n4.nabble.com/using-if-statment-and-loops-to-create-data-layout-of-recurrent-events-tp3040784p3040784.html Sent from the R help mailing list archive at Nabble.com.

Hi guys, My code (next 2 lines below) isn't doing what I'm expecting it to: tmp <- ifelse(uncurated$days_to_tumor_recurrence=="null","norecurrence","recurrence") curated$recurrence_status <- tmp I want the column "recurrence_status" in my output file to have values "recurrence" (if the input value had a number in the

Hello, I am an absolutely beginner with regards to R, so forgive me for my potentially very stupid questions. I have been attempting to create recurrence plots using R. The data I am using is based on a mutually exclusive and exhaustive coding scheme with over 40 individual codes which can be assigned to 6 higher order categories. When I carry out the usual rqa command, my plot is pretty much

Hi, I am wondering if there is a simple way to plot MCF(mean cumulative function) for recurrent events in R? MCF (http://www.weibull.com/hotwire/issue57/relbasics57.htm) And do you have some other recommendation in visualize recurrent events? I did some research online. Some people use ggplot2 to plot MCF, but it requires some additional coding. http://user2010.org/slides/Shentu.pdf Your...

Hi, I was reading a paper published in JCO "Prediction of risk of distant recurrence using 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study" (ICO 2010 28: 1829). The author uses a method to estimate the 9-year risk of distant recurrence as a function of continuous recurrence

Hello, I have a cohort with approx 1,200 patients at the ages of 30-65 that had their first myocardial infarction during 1992: · They were in a follow up until 2005. · About 400 of them died during this period of time (right censored) · Each one of them had up to 4 mi recurrent events. I am using the semi-parametric model in order to assess the relationship of predictors to rate of occurrence allowing for multiple events per subject. The exposure variable ("ESHKOL") is the socio-economic of the neighborhood while adjusting for additional variables such as age,...

Thanks Sanjoy. > To be pedantic, "var[i<<1]" is not an add recurrence, but "&var[i << > 1]" is an add recurrence. I'll assume that's that you meant. Yes, I meant the same. > I think that is because in C, multiplication is nsw but left shift is > not and so "i << 1" can legitimately sign-overflow but i * 2 cannot >

The enlosed patch for IndVarSimplify.cpp works even when the pointer increment is deeply nested wrt pointer initialization, but note that it needs to have loop structures preserved, as in the following: int A[3000000], B[20000], C[100], Z; volatile int I, J, K; int main() { int i, j, k, *a, *b, *c; for ( a = &A[0], i = 0; i != 300; i++ ) { I++;

I'd like to program a simulation of recurrent events to test few models in R. Is there anybody who has experience of that and could give me advice? Your help is greatly appreciated! Regards, -- Peggy Ramlau ramlau at gmx.de +493080906358 Bitte l?cheln! Fotogalerie online mit GMX ohne eigene Homepage!

----- Original Message ----- > > On Oct 31, 2013, at 1:24 PM, Hal Finkel <hfinkel at anl.gov> wrote: > > > Andy, et al., > > > > If I start with C code like this: > > > > void foo(long k, int * restrict a, int * restrict b, int * restrict > > c) { > > if (k > 0) { > > for (int i = 0; i < 2047; i++) { > > a[i] =

Hello, I am currently trying to simulate data and analyze it using the frailty option in the coxph function. I am working with recurrent event data, using counting process notation. Occasionally, (about 1 in every 100 simulations) I get the following warning: Error in coxph(Surv(start, end, censorind) ~ binary + uniform + frailty(subject, : X matrix deemed to be singular; variable 2 My data is structured as follows: I have a...

Is there a document describing the guts of SCEV anywhere? I have a simple question. When looking at a linear SCEVAddRecExpr with a constant step recurrence (that is, getStepRecurrence returns SCEVConstant), is the constant in terms of bytes or in terms of "index," in that the byte offset is calculated by taking the step and multiplying it by the data size of any memory operation its

Hello, I have a general help question that some of you might be able able to help. I would like to design a study (a two group comparison) based on reduction on events(say hospital admissions). In a previous study hospital admission rate of 140 admissions per 72 patients (over a 4 month period) has been observed. That is rate is about 1.9. In order to see the admission rate reduction of 50% over

Hi, I am wondering if anyone can explain to me if cumulative incidence (CI) is just "1 minus kaplan-Meier survival"? Under what circumstance, you should use cumulative incidence vs KM survival? If the relationship is just CI = 1-survival, then what difference it makes to use one vs. the other? And in R how I can draw a cumulative incidence plot. I know I can make a Kaplan-Meier

On Oct 31, 2013, at 1:24 PM, Hal Finkel <hfinkel at anl.gov> wrote: > Andy, et al., > > If I start with C code like this: > > void foo(long k, int * restrict a, int * restrict b, int * restrict c) { > if (k > 0) { > for (int i = 0; i < 2047; i++) { > a[i] = a[i + k] + b[i] * c[i]; > } > } > } > > Clang -O3 will produce code like

Dear All, I'm a relative novice in R, with some experience with S-plus and quite a bit in SAS. In R and S-Plus, I've primarily worked with Frank Harrell's Design and Hmisc libraries. I have R 2.3.1 for windows (XP) installed. I have a project coming up in which the outcome will be recurrent events. There will be right censoring and likely to be a good stack of 0s on the left. In searching the R archives, I came across the gcmrec package, which looks like it will estimate the models I might be interested in. My question is whether anyone is aware of work done on sample size pl...

Hi -- I have found a bug in an HPC code where llvm is vectorizing a loop on Skylake that has an obvious recurrence. I derived a small test case based on the original benchmark below: /*****************************************************************/ static void __attribute__ ((always_inline)) one( const int *restrict in, const int *const end, const unsigned shift, int *const restrict index,

I am trying to analyse recurrent failure times using survfitr from the survrec package. To do this, I need to "Create a survival recurrent object" using Survr. But, when I do this, I get an error "Error in Survr(r1d[, 1], r1d[, 5], r1d[, 6]) : data doesn't match". Here, r1d[,1] is the identifier for each...

Thanks for the feedback, Sanjoy. > SCEV is fairly conservative around PHI nodes that aren't recurrences and aren't obviously equivalent to a min-max branch-phi idiom. Is that the limitation you're running into here? Yes, that's exactly the problem. The problematic PHI nodes (%bc.resume.val and %bc.resume.val1) aren't either recurrences or related to min-max idioms. I