similar to: How do I subtract sequential values ?

Hi Everyone, I would like to do sequential subtractions within a group so that I know the time between separate observations for a group of individuals. My data: data <- structure(list(group = c("IND1", "IND1", "IND2", "IND2", "IND2", "IND3", "IND4", "IND5", "IND6", "IND6"), date_obs =

Hi R-Masters I need use a sequential approach in serie of cases, but may data is not normal. If data is normal distribution is very easy create analysis using likelihood ratio like of Wald test. But in my case I need use a non-parametric test (Mann-Whitney). I was use: RSiteSearch("sequential rank test") but not solve my problem. Do you know routine or package implement

(Yes, today is the "John has an idea day") So, in my now fairly extensive coding of extension priority lists, I'm getting very bored of re-numbering my priority lists every time I add something at the top of the list. If I have a 7 step priority list, and I need to add something in at priority 2, then I have to re-number five other priorities, and if my Dial statement is

Instead of using sequential integers for IDs for my objects I was wondering if I could easily make it so that my IDs where longer auto- generated random strings/integers. So instead of: http://www.mydomain.com/user/view/1 Would be: http://www.mydomain.com/user/view/d81096b87a7c5565f On top of that... is there big benefits for security reasons to use non-sequential numbers? Is it worth

I need to split a given matrix in a sequential order. Let my matrix is : > dat <- cbind(sample(c(100,200), 10, T), sample(c(50,100, 150, 180), 10, > T), sample(seq(20, 200, by=20), 10, T)); dat [,1] [,2] [,3] [1,] 200 100 80 [2,] 100 180 80 [3,] 200 150 180 [4,] 200 50 140 [5,] 100 150 60 [6,] 100 50 60 [7,] 100 100 100 [8,] 200 150 100 [9,]

> On Jun 30, 2016, at 4:14 PM, Renato Golin via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > > On 30 Jun 2016 10:20 p.m., "Robinson, Paul" <paul.robinson at sony.com <mailto:paul.robinson at sony.com>> wrote: > > We've since stopped creating the tags, and gotten used to not having > > them. We do the 'rev-list --count' trick

I am reading some data into R from an Excel spreadsheet using read.csv. Some of the original data that comes into column 1 from the spreadsheet is text that says NA. The NA stands for north america. As it comes in, R converts the NA over to <NA>. What is the cleanest way to change the <NA> values to something else. In other words, get rid of the brackets ? Maybe convert <NA>

My unit's firmware: library 05.03, tape d22h, shows the device as set to random mode. But mtx -f /dev/st0 status gives an error that google says the device is in sequential mode. dmesg|grep -i hp does reflect CentOS thinks the device is a sequential unit. I've tried this with Fedora 8, too, and both show the same, so it is either an issue with CentOS/Fedora RPMs, or the version of

Hi, For example, given two 2x2 matrices m1 and m2. I would like to add/subtract element by element > m1 [,1] [,2] [1,] NA NA [2,] 1 2 > m2 [,1] [,2] [1,] 1 NA [2,] NA 2 > m1 + m2 [,1] [,2] [1,] NA NA [2,] NA 4 How can I ignore the NA, and get this ? Hope the solution can be extended to subtract and modulo also. [,1] [,2]

Hello Everyone,   I’m a SAS user who has recently become interested in sequential clinical trials designs. I’ve discovered that the SAS based approaches for these designs are either too costly or are “experimental.” So now I’m looking for alternative software. Two programs that seem promising are SPLUS Seqtrial and R.   I recently obtained a 30 day trial for the SPLUS Seqtrial add-on and have

Hi, I have a dataframe wf existing of a header with different labels and beneath the values of those labels : wf: label1 label2 ... 0,45 0,21 0,10 0,45 .... .... I have a list fl <- c("label2","label3",..) Isn't possible to use the list elements in the list in order to subtract values from the dataframe? like : wf$fl[[1]] When I do in R I get :NULL

You can use these flags as described in the manual page to optimize access patterns, and to get better behaviour with the page cache in some scenarios. For my testing I used the cachedel and cachestats utilities written by Julius Plenz (https://github.com/Feh/nocache). I started with a 32 GB file of random data on a machine with about 32 GB of RAM. At the beginning of the test I evicted the

On Thu, Jun 30, 2016 at 9:16 AM, James Y Knight via lldb-dev < lldb-dev at lists.llvm.org> wrote: > I don't think we should do any of that. It's too complicated -- and I > don't see the reason to even do it. > > There's a need for the "llvm-project" repository -- that's been discussed > plenty -- but where does the need for a separate

Hello, I have data on the maturity of two morphs of fish. I want to test whether their maturity is evolving differently or not on a temporal scale (month). The maturity variable (independent variable) is continuous and the morph and month variables (dependant variables) are categorical. Because the data show variance heterogeneity, I modeled it with the function gls: kg1 =

Dear R-help I am using R version 2.6.2. I am trying to subtract specific values from a larger data frame. I feel this should be straightforward, but I am struggling. I have a dataframe "Bk" as follows: DateTime cumPrecip 01/01/2008 00:00 348 01/01/2008 01:00 348 01/01/2008 02:00 348 01/01/2008 03:00 347 01/01/2008 04:00 348 01/01/2008 05:00 348 01/01/2008 06:00 349

I am trying to determine the optimal filesystem for accessing large numbers of files (25,000+) in a single directory. I have read that ext3fs uses a sequential search algorithm and wanted to verify that this was still indeed the case since this article was published a year ago. http://bulmalug.net/body.phtml?nIdNoticia=1154 <http://bulmalug.net/body.phtml?nIdNoticia=1154&nIdPage=7>

Hello everyone, I need to do a sample size calculation. The study two arms and two endpoints. The two arms are two different cancer drugs and the two endpoints reflect efficacy (based on progression free survival) and toxicity. Until now, I have been trying to understand this in terms of a one-arm design, where the acceptable rate of efficacy might be 0.40, the unacceptable rate of efficacy

I am trying to code the following excel formula in R. a b c Result Formula 1 10 0.1 #N/A IF(B2<20,NA(),C2+IF(ISERROR(D1),0,D1)) 2 20 0.2 0.2 IF(B3<20,NA(),C3+IF(ISERROR(D2),0,D2)) 3 30 0.3 0.5 IF(B4<20,NA(),C4+IF(ISERROR(D3),0,D3)) 4 40

Hello, I'm wondering if there are any packages/functions that can perform conditional sequential gaussian simulation. I'm following an article written by Grunwald, Reddy, Prenger and Fisher 2007. Modeling of the spatial variability of biogeochemical soil properties in a freshwater ecosystem. Ecological Modelling 201: 521 - 535, and would like to explore this methodology.

On 30 Jun 2016 10:20 p.m., "Robinson, Paul" <paul.robinson at sony.com> wrote: > We've since stopped creating the tags, and gotten used to not having > them. We do the 'rev-list --count' trick which mainly gets recorded as > one component of the version number, and it has been working for us. Does that work for sub modules inside the umbrella project? How