similar to: Nested lapply? Is this allowed?

Dear all, you can find below my solution for sliding a window. Please find below the code for the two alternatives and the benchmarks.     install.packages('caTools') require(caTools) do_sliding_for_a_window_duty_cycle <- function(DataToAnalyse,  windowSize) {   data<-DataToAnalyse   out <- numeric()   elements<- numeric()   if (length(data[,1]) >= windowSize){       for

Dear all, I have a different data sets and I am doing some calculations over time, For that every data set is split into junks based on the time stamps so one data set has like 10 timestamps. There is also the case that one data set has less than 10 timestamps. In my code I was doing the following lapply(Datasource,analysis_for_one_data_source)

Colleagues, I am trying to learn to use uniroot to solve a simple linear equation. I define the function, prove the function and a call to the function works. When I try to use uniroot to solve the equation I get an error message, Error in yfu n(x,10,20) : object 'x' not found. I hope someone can tell we how I can fix the problem

Hello I am wondering, how do I find if R has a certain funciton to do a given task. do I just type help.search("rate"). I am just trying to find a function to calculate the rate of change for a variable. I could come up with one if there isn't any allready builtin. thanks

Windows XP R 2.3.1 I have a funciton fit1<-lm(y~x+z) Is there a function that will produce a 3-dimensional plot of y,x,z? I looked at the help files, but did not find a clean answer to my question. Thanks, John John Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology Baltimore VA Medical Center 10 North Greene Street

On 06/10/2020 11:00 a.m., Sorkin, John wrote: > Colleagues, > I am trying to learn to use uniroot to solve a simple linear equation. I define the function, prove the function and a call to the function works. When I try to use uniroot to solve the equation I get an error message, > Error in yfu n(x,10,20) : object 'x' not found. > > I hope someone can tell we how I can fix

Hi, I would like to conduct a MANOVA. I know that there 's the manova() funciton and the summary.manova() function to get the appropriate summary of test statistics. I just don't manage to specify my model in the manova() call. How to specify a model with multiple responses and one explanatory factor? If I type:

Dear all, I have a question about how to set arguments in my own function. For example, I have a function that looks like this: my.f <- function(a = x1, b = x2) { x1 = equation 1 x2 = equation 2 x3 = equation 3 y = a + b } x1, x2, and x3 are temporary variables (intermediate results) calculated from other variables within the funciton. I want to use two of these three

Hi, What is the simplest way to validate a positive integer? validates_numericality_of :foo, :integer_only => true how do I add the positive part? Do I need another validation statement for pattern matching or do I have to write a validate() funciton for my model? Thanks, Peter

I don't want to re-invent the wheel, and I'm trying to code up something that does a Nelder-Mead simplex method to minimise a non-linear objective function. (I'm porting something I originally wrote in matlab, using the optimisation toolbox funciton fmins). Is there already something available to do this included in R? Do people have suggestions on the best way to do this? Thanks,

there is a data frame, like this: > df aa bb 1 a 20.27802 2 b 22.10664 3 c 21.33470 4 a 22.32898 5 b 19.73760 6 c 20.38979 .....(suppressed) what I want to do is to copy the data frame's rows into different data frames according to the levels of 'aa' column, > df.a <- df[df[,1]=='a',] ; df.b <- df[df[,1]=='b',] ; ....

Esteemed UseRs, I've got many biggish data frames which need a lot subsetting, like in this example: # example eg <- data.frame(A = rnorm(10), B = rnorm(10), C = rnorm(10), D = rnorm(10)) egsub <- eg[eg$A < 0 & eg$B < 1 & eg$C > 0, ] egsub egsub2 <- eg[eg$A > 1 & eg$B > 0, ] egsub2 # To make this clearer than 1000s of lines of extractions with [] # I

Hmmm. Not having much luck with this. I'm trying to call the DUNDILOOKUP function and assign it to a variable in an AGI script. I've tried setting with EXEC CMD and with SET VARIABLE. In both cases, it's treating DUNDILOOKUP literally, rather than calling a funciton. I've tried this: EXEC "Set" "DIALPATH=${DUNDILOOKUP(2944093|180net)}" and also: SET VARIABLE

Hi, I would like to use Sweave to document a long function. Is it possible to split the function's code into chunks such that Sweave will accept each chunk without complaining. I have tried various approaches without sucess but I feel sure that someone has done this already. Here is one attempt ============== % First, define the funciton header <<defFunHdr, eval=FALSE>>= x <-

Hello, I am trying to model an intensity function with time-varying covariates. Before, I have successfully defined a log likelihood function for a Power-Law Process (lambda(t)=alpha*beta*t^(beta-1)) with two paramters and no covariates for a repairable systems with failure times (t). This function was maximized with R optim. No problem! But now I want to include a covariate indicating a

Hello, Is there a function in R with which we could find the greatest common divisor directly? Or is there a funciton, which could help us to find the remainder of a division directly? Best wishes! Thank you! Your truly, Qing -- View this message in context: http://r.789695.n4.nabble.com/greatest-common-divisor-tp2326262p2326262.html Sent from the R help mailing list archive at

--begin inclusion -- I have a matched-case control dataset that I'm using conditional logistic regression (clogit in survival) to analyze. I'm trying to conduct k-folds cross validation on my top models but all of the packages I can find (CVbinary in DAAG, KVX) won't work with clogit models. Is there any easy way to do this in R? -end inclusion -- The clogit funciton is simply a

When I searched for branch frequency profiling on the internet, I got this link by a casual chance: http://homepages.dcc.ufmg.br/~rimsa/tools/stprof-llvm.patch. It seems it was written by Andrei Rimsa. So I downloaded and integrate these files into the llvm-2.8 building. After the building, I tried "opt -static-profile bitcnt_1.bc", and an segment fault error occured. I debugged it

There are a few instrinsic functions I would like to remove, is this possible? For example, the llvm.lifetime and llvm.dbg instrinsics? You can't simply iterate over the funciton and remove the call instructions, this causes issues. Is there a known structured way of doing this? -------------- next part -------------- An HTML attachment was scrubbed... URL:

On 22/6/2019 16:07, John Fawcett via dovecot wrote: > > You can easily view the value in a readable format with the > FROM_UNIXTIME mysql funciton > > https://dev.mysql.com/doc/refman/8.0/en/date-and-time-functions.html#function_from-unixtime > > To get remote ip > > define the rip field in your table and add it to the primary key > > add %r to the