similar to: approx function wierd result

Dear list members, I need to translate 3 lines of matlab code to R (a loop, to be specific), and I don't know what would be the results in matlab or how to do it in R-- I don't realise if they are doing to the col, vector or what. if the results are a vector or a value or a matrix :-( Anyone with matlab, can run it and give me the result? Any ideias what am I doing wrong? The code is

Hi, I'm reading part of a table from postgres, so I'm getting a data frame. how can I extract the numerica values so I can operate on them. > res <- dbGetResult(mydata) > str(res) `data.frame': 5 obs. of 8 variables: $ cyx.1: num 0.149 -0.278 0.114 0.060 0.109 $ cyx.2: num 0.158 -0.070 0.063 0.149 0.150 $ cyx.3: num 0.052 -0.350 0.114 0.126 0.238

Hello All, Let's say I have data spanning all quadrants of x-y plane. If I plot data with a certain x and y range using xlim and ylim or by using plot.formula as described in this link: http://www.mathkb.com/Uwe/Forum.aspx/statistics/5684/plotting-in-R *DF <- data.frame(x = rnorm(1000), y = rnorm(1000)) * *> str(DF)* *'data.frame': 1000 obs. of 2 variables: $ x: num -0.0265

I am getting an unexpected gap in a simple plot of monthly data series. I have created a csv file of monthly climate observations that I store on-line. When I download the csv file and plot one of the series, I get a gap even though there is data for the missing point. Here is a snippet to show the problem. ## Strange plot results link <-

Hi, I am trying to construct a logistic regression model from my data (104 patients and 25 events). I build a full model consisting of five predictors with the use of penalization by rms package (lrm, pentrace etc) because of events per variable issue. Then, I tried to approximate the full model by step-down technique predicting L from all of the componet variables using ordinary least squares

Dear all, I'm using R 2.8.1 under Windows Vista on a dual core 2,4 GhZ with 4 GB of RAM. I'm trying to reproduce a result out of "Analysis of Financial Time Series" by Ruey Tsay. In R I'm using the fGarch library. After fitting a ar(3)-garch(1,1)-model > model<-garchFit(~arma(3,0)+garch(1,1), analyse) I'm saving the results via > result<-model

The cenmle function is used to fit two sets of censored data and test if they are significantly different. I can print out the results of the analysis on the screen but can't seem to figure out how to access these results in R and assign them to new variables, e.g., assign the slope calculated with cenmle to the variable m. Any suggestions? Tom -- View this message in context:

Hi all there I am enjoying R since 2 weeks and I come to my first deadlock, il am trying to use predict.Arima in the ts package. I get a "Error in cbind(...) : cannot create a matrix from these types" -- Start R session ----------------------------------------------------- > fitdiv <- arima(data, c(2, 0, 3), xreg = y ) ; print(fitdiv) Call: arima(x = data, order = c(2, 0, 3),

nv30 seems to not support dma objects with offset, so simply extend the query_heap to cover the entire notifier, and use a offset in nv30_context_kick_notify. Signed-off-by: Maarten Lankhorst <maarten.lankhorst at canonical.com> --- src/gallium/drivers/nouveau/nouveau_buffer.c | 14 +- src/gallium/drivers/nouveau/nouveau_context.h | 5 +

Signed-off-by: Maarten Lankhorst <maarten.lankhorst at canonical.com> --- src/gallium/drivers/nouveau/nouveau_fence.c | 76 ++++++++++++------------- src/gallium/drivers/nouveau/nouveau_fence.h | 22 +++++-- src/gallium/drivers/nouveau/nouveau_screen.c | 9 +++ src/gallium/drivers/nouveau/nouveau_screen.h | 14 ++--- src/gallium/drivers/nouveau/nv30/nv30_context.c | 4 +-

On Tue, Jun 17, 2014 at 2:34 AM, Maarten Lankhorst <maarten.lankhorst at canonical.com> wrote: > nv30 seems to not support dma objects with offset, so simply extend the query_heap to cover the > entire notifier, and use a offset in nv30_context_kick_notify. It would be great if you could detail the list of transformations that were done in the commit description, as well as what the

On Fri, Sep 14, 2007 at 11:42:18PM -0700, Tanya Lattner wrote: > The 2.1 pre-release (version 1) is available for testing: > http://llvm.org/prereleases/2.1/version1/ > > [...] > > 2) Download llvm-2.1, llvm-test-2.1, and the llvm-gcc4.0 source. > Compile everything. Run "make check" and the full llvm-test suite > (make TEST=nightly report). > > Send

LLVMers, The 2.1 pre-release (version 1) is available for testing: http://llvm.org/prereleases/2.1/version1/ I'm looking for members of the LLVM community to test the 2.1 release. There are 2 ways you can help: 1) Download llvm-2.1, llvm-test-2.1, and the appropriate llvm-gcc4.0 binary. Run "make check" and the full llvm-test suite (make TEST=nightly report). 2) Download

Signed-off-by: Maarten Lankhorst <maarten.lankhorst at canonical.com> --- src/gallium/drivers/nouveau/nouveau_fence.c | 76 ++++++++++++------------- src/gallium/drivers/nouveau/nouveau_fence.h | 22 +++++-- src/gallium/drivers/nouveau/nouveau_screen.c | 9 +++ src/gallium/drivers/nouveau/nouveau_screen.h | 14 ++--- src/gallium/drivers/nouveau/nv30/nv30_context.c | 4

Hi all, I've started looking at the GlobalMerge pass, enabled by default on ARM and AArch64. I think we should reconsider that, at least for AArch64. As is, the pass just merges all globals together, in groups of 4KB (AArch64, 128B on ARM). At the time it was enabled, the general thinking was "it's almost free, it doesn't affect performance much, we might as well use it".