search for: boded

Hello, I am trying to figure out how to make a bode plot (a.k.a. bode diagram) in ggplot2. An example of such a diagram can be found here: http://meweb.ecn.purdue.edu/~me475/ctm/freq/bode2.GIF The example above shows the gain and phase characteristic of a linear system. In my case, I would like to compare visually several systems on the same diagram. The data in the data frame is arranged

Dear All I hope my question is relevant on this forum, else very sorry for the disturbance I want to simply plot a bode diagram of a siso model using the 'bodeplot' command in the control package fail due to error in 'issiso' evaluation... Error in if (issiso(sys)) {: then I try by myself some retro-engineering :) the problem is when I use H <- freqresp(syst, w) mag =

a) What is so difficult about the idea that this list is about R, not theory? There do exist forums about control theory (e.g. engineering.stackexchange.com) b) Using [-pi,+pi) is not "wrong"... it is numerically more precise, though it may not convey what you would prefer to convey. c) The general case with poles and zeroes is more complicated than just adding the order of your

By any chance are there any R packages that assist in producing Bode Plots and performing Bode analysis? Thanks again for any feedback and insights.

Is it possible to konfigure a passwordless authentifikation in kombination with ssh. for example: to a specific folder on a server named server1 has only user1 access. the user1 only exists on server1. server2 wants to replicate a foler from server1 to himself. the rsync process uses the rsync_user, which exists on both machines. the rsync process asks every time the job runs for the password

Something that bit me: The function relevel takes a factor, and a reference level to be promoted to the first place. If ?ref? is a character this level is promoted, if it?s a numeric the ?ref?-th level is promoted. Which turns out to be very confusing if you have factor with numeric values (e.g. when reading in a csv with some dirty numeric columns and stringsAsFactors TRUE) For example:

I hope it's not too specific in my setup... I've tried with system2 added on the first line, so: Example.R: system2('ls', timeout=5) cat('Start non-interruptable functions\n') sample_a <- sample(1:1e7) sample_b <- sample(1:2e7) matching <- match(sample_a, sample_b) cat('Finished\n') Sys.sleep(10) And in terminal/bash: R --vanilla

When trying out some variations with `[.data.frame` I noticed some (to me) odd behaviour, which I found out has nothing to do with `[.data.frame`, but rather with the way arguments are matched, when mixing named/unnamed and missing/non-missing arguments. Consider the following example: myfun <- function(x,y,z) { ? print(match.call()) ? cat('x=',if(missing(x)) 'missing'

Hi all, I found some strange behaviour, which I think is a bug. Could someone make an account for me on Bugzilla or pass on my report? The problem: When pressing Ctrl-C when a file is sourced in R, run from Terminal (macOS), sometimes the entire session is ended right away, while I just want to stop the script. This is the case when I press Ctrl-C while some functions are running that don?t

The idea is that one wants to write the line of code below in a general way which works the same whether you specify ix as one column or multiple columns but the naming entirely changes when you do this and BOD[, 1] and transform(BOD, X=..., Y=...) or other hard coding solutions still require writing multiple cases. ix <- 1:2 transform(BOD, X = BOD[ix] * seq(6)) On Tue, Jul 24, 2018 at

Hello, I append another clue I found out: The problem is definitely not caused by "__ImageBase" the problem comes with the "OFFSET". I generated another object file which crashed. The commonality: mov edx, DWORD PTR ?normalPlanschbecken@@3HA ; normalPlanschbecken lea rcx, OFFSET FLAT :??_C at _0CC@LCMJAIPO at Reading?5?$CCnormalPlanschbecken?$CC?5?$CFi@

But the main point is where arguments are mixed together: > debugonce(plot.default) > plot(x=1:10, y=, 'l') ... Browse[2]> missing(y) [1] FALSE Browse[2]> y [1] "l" Browse[2]> type [1] "p" I think that's what I fall over mostly: that named, empty arguments behave entirely different from omitting them (", ,") And I definitely agree we need

FWIW I can reproduce on macOS with R 3.5.1. A smaller example: system2("ls", timeout = 5); x <- sample(1:1E8) If I try to interrupt R while that sample call is running, R itself is closed. Best, Kevin On Fri, Sep 14, 2018 at 10:53 AM Emil Bode <emil.bode at dans.knaw.nl> wrote: > > I hope it's not too specific in my setup... > I've tried with system2

I wouldn't be surprised if JITing COFF files on Windows doesn't work so well, since the object file format assumes most symbols are dllimport or within the local 2GB module address range. I'm not familiar with the current JIT state of the art, though. On Thu, Mar 22, 2018 at 1:45 AM via llvm-dev <llvm-dev at lists.llvm.org> wrote: > Hello, > > I append another clue I

>>>>> Michael Lawrence >>>>> on Fri, 30 Nov 2018 08:24:31 -0800 writes: > Argument matching is by name first, then the still missing > arguments are filled positionally. Unnamed missing > arguments are thus left missing. Does that help? Thank you, Michael! Unfortunately, it may not help sufficiently notably once this thread will be

Hey everyone, is there a way to get the name of all symbols that are stored ("stored" is not the right term - is it?) in my current ExecutionSession? I know by now that you can use "lookup" to get symbols, but this requires knowing those names. Mhh... I guess that is my shortest so far question xD Thank you in advance for any help! Kind greetings Björn Als GmbH eingetragen

Hi Bjoern, Did you see my previous reply? There's no way to do this currently. ORC assumes you know all the symbols, > since you added the modules defining them. > For testing / debugging you can dump the modules to stderr using > ExecutionSession::dump, but that's about it. > Do you want the symbols for diagnostic purposes, or some other reason? Regards, Lang. On Mon, Aug

I am porting some MATLAB functions over to R and hopefully into a package, so I am curious if nargin and nargout work with R functions. Here is kind of an example of where I need to head in order to port "control-1.0.11" from Octave over to R. The Octave "control-1.0.11" package has the capability to produce bode plots of transfer functions. I hope to post this package once

Emil et al., On Mon, Jun 11, 2018 at 1:08 AM, Emil Bode <emil.bode at dans.knaw.nl> wrote: > I don't think there's much wrong with is.na(as_date(Inf, > origin='1970-01-01'))==FALSE, as there still is some "non-NA-ness" about > the value (as difftime shows), but that the output when printing is > confusing. The way cat is treating it is clearer: it

Note the inconsistency in the names in these two examples. X.Time in the first case and Time.1 in the second case. > transform(BOD, X = BOD[1:2] * seq(6)) Time demand X.Time X.demand 1 1 8.3 1 8.3 2 2 10.3 4 20.6 3 3 19.0 9 57.0 4 4 16.0 16 64.0 5 5 15.6 25 78.0 6 7 19.8 42 118.8 >