search for: onset

Hi, How can I get the '2+' into superscript in the following title: '[Ca2+]i onsets' I tried the command below, but it doesn't work. What am I missing? hist(X, main=expression(([Ca*]i^2+) 'onsets'), xlab = 'sec') -- View this message in context: http://r.789695.n4.nabble.com/superscript-characters-in-title-with-tp3006981p3006981.html Sent from th...

Happy New Year, r-helpers! I am using lowess to smooth a scatter plot, xx<-lowess(xinput,f=.04) #defaults for other args followed by turnpoints(xx$y) #defaults for other args I plot the smoothed result as well as turnpoints (using yy$tppos) on top of raw data plot. Result is exactly as expected, graphically. For another purpose, I calcuate the difference between turnpoints (representing

In increasing the computation time and bit rate with VBR: Has anyone considered implementing the standard audiological recognition technique of using the duration of zero energy (voice onset timing) to identify the presence of voiceless sounds? I would like a means of determining whether or not a given window will be full of voiced speech or not. Matt -- The swallow may fly south with the sun or the house martin or the plover may seek warmer climes in winter yet these are not strange...

...least for > some examples below. > Ditto the following, for the case where there are multiple time-varying (irreversible) binary covariates, here slicing as coarsely as possible. # # Create dataset for survival analysis with time-dependent covariate # Gill-Anderson model # x <- data.frame(onset=c(46, 32, 53, 76, 64, 43), case=c(1,1,1,0,0,0), ooph=c(NA, 30, 38, 50, NA, NA), ocp=c(1,1,0,0,1,0), parity=c(2,0,1,3,3,2), age.preg=c(28,NA,27,20,22,23)) make.dep <- function(onset, case, time.dep, covs=NULL) { if...

I have three time series, x, y, and z, and I want to analyse the relations between them. However, they have vastly different resolutions. I am writing to ask for advice on how to handle this situation in R. x is a stimulus, and y and z are responses. x is a rectangular pulse 4 sec long. Its onset and offset are known with sub-millisecond precision. The onset varies irregularly -- it doesn't fall on neat 1/2 sec or sec boundaries for example. y is a sampled continuous waveform. It is highly noisy, and it is actually well represented by samples 1/2 sec apart or so. z is a very short pul...

I'm trying to get HOBOware Pro (http://www.onsetcomp.com/products/software/), a tool that interfaces with a USB based datalogger, to work under Wine. I have installed it, and it fails with the message: Code: Error occurred during initialization of VM Could not reserve enough space for object heap This seems to be fairly common among Java ap...

...can I change the position of the ylab, after enlarging the margins with par(mar=...)? Here is the relevant code snippet ---- par(mar=c(5.1,5.1,4.1,2.1)) plot(c(1979,2003),c(40,50),ylim=c(1,73),lab=c(20,10,1),pch=21,col='blue',bg='blue',axes=FALSE,xlab="Years",ylab="Onset/Withdrawl Date",font.lab=2) box() axis(1,las=2) axis(2,las=2,labels=c('JAN','FEB','MAR','APR','MAY','JUN','JUL','AUG','SEP','OCT','NOV','DEC','JAN'),at=seq(from=1,to=73,by=6)) axis(3,labels=...

...indicates the progression of a certain age-related disease. At a certain point in time, a population was sampled; and I have measurements for the age of each individual, and their disease stage. (Disease stage is an ordered factor, none<A<B<C<D.) I hypothesize that the rate of disease-onset depends on age, but that (once the disease has started) its rate of progression depends on the current disease stage and not on age. I would like to plot the data in a sensible way, to let me see if this hypothesis is reasonable, and to let me explore possible functional forms for the two rates....

I am writing to get a better handle on a warning I am getting from a coxph analysis I am doing. I am analysing age of onset of dementia *after* the onset of parkinson disease. My data looks like: age.park age.dem age.death censor x1 x2 x3 x4 1 76 87 88 0 16 33 E3 E3 2 75 84 84 0 33 36 E3 E3 3 77 81 81 1 NA NA <NA> <NA> 4...

Colleagues, (R 2.10 on all platforms) I have a lengthy script (18000 lines) that runs within a graphical interface. The script consists of 100's of function followed by a single command that calls these functions (execution depends on a number of environment variables passed to the script). As a result, nothing is executed until the final line of code is read. It takes 15-20

...://www.dropbox.com/s/d96itird8ms42yx/dataframe.Rdata?dl=0> sapply(levels(df0$bmi0),function (x){ #####SURVIVAL CURVE dfx=filter(df0,bmi0==x) surv2=Surv(dfx$bmi,dfx$MetS) km2=survfit(surv2~dfx$apoe4)##start.time=20,type='kaplan') plot(km2,lty=2:1,xlim=c(20,41),xlab='BMI at onset',main=x,mark.time = F) legend('bottomleft',c('E4','no-E4'),lty=2:1) cox=list(coxph(surv2~relevel(dfx$apoe4,ref='no-E4'))) }) sapply(levels(df0$bmi0),function (x){ #####CUMULATIVE HAZARDs dfx=filter(df0,bmi0==x) surv2=Surv(dfx$bmi,dfx$MetS) km2=survf...

...ual's ODBC driver. I have all my data in Filemaker 8.5, but it is automatically exported into PostgreSQL for analysis as Filemaker's ODBC and JDBC access is awful, slow and has a tendency to crash. I have disability data where for each patient there is a survival time in years from disease onset to a particular disease stage, namely unilateral support, bilateral support, wheelchair use, and death. Valid values may include NULL (patient hasn't reached that stage), 0 (for example, patient needed support immediately at disease onset), and any positive integer. When I query the database m...

On Fri, Nov 14, 2008 at 5:11 AM, Hans J. Koch <hjk at linutronix.de> wrote: >> I don't think anything currently in Ogg can do this. The closest I can >> think of is CMML's clip concept, but you'd still have to parse the entire >> stream to find them all. > > That's nearly useless for DVD-like applications. I don't know. Wouldn't it work if

Hi guys, just wanted to ask, on the onset of our page, we generate several div''s. What we noticed on an intermittent connection is that several divs don''t get to generate all the div''s sometimes so we had to reload our page. Would you have any technique on how we can do this? thanks bing -- Posted via http...

...sical linear regression model." i'd like to test/assess deviations from stability in the Poisson model. is there a way to modify the strucchange package to suit my purposes, or should i use be using another package, or is this a tough nut to crack? :) my application is detecting the onset of a flu outbreak as new daily data trickles in from each morning from local hospitals. seems to me like the same sort of inferential goal that strucchange refers to as "monitoring of structural change." thank you in advance. cheers, alexis

...sked before ... appologies in advance This - which comes out very nicely - better than the commercial stuff. plotmeans (cdpy~Dodefordpy, Data = Dataset, connect = False, minbar = 1, mean.labels = FALSE, col = "blue", barwidth = 1.5, barcol = "red", ci.label = FALSE, xlab="Onset", pch = 15, par(las =2)). Only one snag I want to order the X axis by the way it is sorted in the data not by the n size group categories. The data are sorted by the Dodefordpy categories - not mumeric - confering to the way I'd like the x axis. Hence how do I order the x axis not by n...

...ly) > survfit(surv.results$cox) Call: survfit.coxph(object = surv.results$cox) n events median 0.95LCL 0.95UCL 136 96 6 6 8 # # predict a curve for a patient: (these are the answers I really want to extract) # > survfit(surv.results$cox, newdata=data.frame(onset=50, ic.duration=10, simple.msa=c('MSA','Not MSA'), autoimmune=F, carcinoma=F)) Call: survfit.coxph(object = surv.results$cox, newdata = data.frame(onset = 50, ic.duration = 10, simple.msa = c("MSA", "Not MSA"), autoimmune = F, carcinoma = F)) n ev...

Jean-Marc Valin wrote: > The noise suppressor will only attempt to remove stationary noise, > such as thermal noise, fans, ... The AGC can indeed do strange > things in these cases, but it's been improved in svn (compared to > 1.2beta1). OK, then the problem is that I misunderstood the feature. I assumed that dynamic squelch was part of it, but it's really something more

I am following a document teaching how to use regression and right at the onset I get an R error. I understand that variables "conc" and "signal" should have the same length but I am using the what R manual suggests to drop the error and it is not cooperating. What gives? The manual says that the default is na.ombit by the way, not that it's additi...

...me that I could use strsplit as well..). It may be irrelevant, but the 'date' variable is a Date class object. I've tried first converting this to a character object but didn't get anywhere. Further, I'll use the dates later with difftime to figure the subjects' age at the onset of their condition, so I'd like to avoid converting between classes too much. Any advice would be greatly appreciated. Here is the code to build the sample data and the working for loop as well: > dum <- data.frame( + id = c(2,2,2,3,4,4,4,4,5,5), + x = sample(15:30,length(id)),...