similar to: Drawing sample

Let say, I have a matrix with 8 rows and 6 columns:  >  df1  <- matrix(NA, 8, 4)  > df1       [,1] [,2] [,3] [,4]  [1,]   NA   NA   NA   NA  [2,]   NA   NA   NA   NA  [3,]   NA   NA   NA   NA  [4,]   NA   NA   NA   NA  [5,]   NA   NA   NA   NA  [6,]   NA   NA   NA   NA  [7,]   NA   NA   NA   NA  [8,]   NA   NA   NA   NA  Now I want to get **all possible** ways to fetch 6 cells at a

Type of tx_ready callback got changed to int to faciliate error condition, but the ARM serial drivers were not modified thus breaking the compilation. Reported-by: Julien Grall <julien.grall@linaro.org> Signed-off-by: Tomasz Wroblewski <tomasz.wroblewski@citrix.com> --- xen/drivers/char/exynos4210-uart.c | 2 +- xen/drivers/char/omap-uart.c | 2 +-

Hello, I am stuck with selecting the right rows from a data frame. I think the problem is rather how to select them then how to implement the R code. Consider the following data frame: df <- data.frame(ID = c(1,2,3,4,5,6,7,8,9,10), value = c(34,12,23,25,34,42,48,29,30,27)) What I want to achieve is to select 7 rows (values) so that the mean value of those rows are closest to the value of 35

Hi, I am building a regression tree (method=anova) by using rpart package and as a final result I get the final leaves characterized by different means and standard deviations for the dependent variable. However, differently from the classification tree for categorical variables I cannot find a way to assign each observation to a leaf, i.e. I can find no frame whcih contains the observation id

Dear lmer users, The experiment includes 15 groups of (3 males and 1 female). The female is characterized by its quality Q1 and Q2. Each male of a group is characterized by the number of MatingAttempts (with Poisson distribution). I want to examine if male mating attempts depend on female quality. I can see from graphic exploration that the within-group heterogeneity of male attempts increases

Good afternoon all - While making a steady progress in learning R after Matlab I encountered a problem which seems to require some extra help to move over. Basically I want to merge a data from biological statistical dataset with annotation data extracted from another dataset using an 'id' crossreference and write it to report file. The first part goes absolutely fine, I have merged both

Under the right circumstances, xenconsoled will corrupt its internal list of domains causing a SEGV. This is usually characterized by a rapid number of creations/destructions. The attached patch fixes this. Regards, Anthony Liguori _______________________________________________ Xen-devel mailing list Xen-devel@lists.xensource.com http://lists.xensource.com/xen-devel

What's the current best wisdom on how to construct confidence bounds on something like a normal probability plot? I recall having read a suggestion to Monte Carlo something like 201 simulated lines with the same number of points, then sort the order statistics, and plot the 6th and 196th of these. [I use 201 not 200 because quantile(1:201, c(0.025, 0.975)) = 6 and 196 while

Dear useRs! I would like to list all possible samples of size n form a population of size N. Obviously, N must be small (up to 20??) for this to be possible. For example, let say that N = 3 and n = 2. Therefore, we can say we have units 1, 2 and 3. I believe all possible samples are : {1,2},{2,3} and {1,3}. I would like to emphasize that I am not looking for the number of different

Hi, I would like to draw 10 uniformly distributed sample points from a circle with redius one and centered at (0,0). Is there any R function to do that?   Thanks, [[alternative HTML version deleted]]

I am generating images via lattice from Frank Harrell's RMS package. These images are characterized by coloured lines and grey-scale confidence intervals. I need to port them to Openoffice/etc, and have tried both png and jpeg (at high quality), but in neither format can I subsequently see the the grey scale confidence intervals. Other than moving to LaTex, does anyone have other

On 28/11/2014 12:13, Vince Hsu wrote: > The voltage value are calculated by the hardware characterized > result. > > Signed-off-by: Vince Hsu <vinceh at nvidia.com> > --- > > Resend this patch with the fuse change and proper patch prefix > per Thierry's request. Since the voltage table really is per-chipset, it would be insane to add that to the DT. If it was not

Hi, there: I have a dataset with 50 states and for each state, I have its associated mean estimate (for some parameters) and the lower and upper bound of the 95% CI. The data look like below: state ami_mean ami_low ami_up 1 MS -0.58630 -0.90720 -0.29580 2 KY -0.48100 -0.75990 -0.19470 3 FL -0.47900 -0.62930 -0.32130 I would like to have a plot the 95% CI (characterized by

On 09/06/2017 05:48 AM, Serkan ?oban wrote: > Hi, > > Just do some ingestion tests to 40 node 16+4EC 19PB single volume. > 100 clients are writing each has 5 threads total 500 threads. > With 3.10.5 each server has 800MB/s network traffic, cluster total is 32GB/s > With 3.12.0 each server has 200MB/s network traffic, cluster total is 8GB/s > I did not change any volume

Hi all - I''ve applied (to trunk) Bob Cotton''s patch which supports shared behaviours (link to tracker below). I''m still toying w/ names, so please be aware that until this is released w/ 0.9 it should be considered experimental and there will NOT be translation support for it. It will definitely be included in some form - just the names (specifically

I need to find a computationally simple process for the movement of interest rates. In this simplified model, an interest rate can have 3--5 possible values, and its movement is characterized by a matrix of transition probabilities (ie, it is a Markov process). I would like to estimate this process from a given set of data. For example, let the interest rate time series be: 7 3 8 2 5 9 6

Hi, I am using the rcs() function in the Design library to model non-linearity that is not well characterized by an otherwise mechanistic function. I am able to make the model 'available' to others through the excellent nomogram() function and the set of tables that it can create. However, I would like to present the model in an 'expanded' format-- probably what rcspline.restate()

Hi, i am working on a problem where i need to compute the products of all possible combinations of size m of the elements of a vector. I know that this can be achieved using the function combn(), e.g.: > vector <- 1:6 > combn(x = vector, m = 3, FUN = function(y) prod(y)) In my case the vector has 2000 elements and i need to compute the values specified above for m = 32. Using combn() i

the proposed architecture (chris) doesn't seem to attack the phase ordering problem. through having independent instruction selection, instruction scheduling, and register allocation phases faciliate a modular design, but i believe the phase-coupled code generator generator high quality code on many architectures. espeically in the embedded system like a media/dsp processors with very limited

I've created a .Rd file (below), then converted that to .sgml using R CMD Rdconv --type=Ssgm combn.Rd > combn.sgml The output (shown below) is missing some of the sections: arguments seealso examples If instead I convert to .d (below), the same sections are missing, and the "note" section is included but without the necessary newline.