similar to: New package cNORM: Continuous norming

Hi, gfortran trunk and 9-branch now have an option to automatically generate C prototypes for old-style F77 procedures. I just did for a in *.f; do gfortran -fsyntax-only -fc-prototypes-external $a > ${a%.f}.h; done in the src/modules/lapack directory. This generates header files which contain prototypes like int ilaenv_ (int *ispec, char *name, char *opts, int *n1, int *n2, int *n3,

Fellow R-helpers, Suppose we create a histogram as follows (although it could be any vector with zeroes in it): R> lenh <- hist(iris$Sepal.Length, br=seq(4, 8, 0.05)) R> lenh$counts [1] 0 0 0 0 0 1 0 3 0 1 0 4 0 2 0 5 0 6 0 10 0 9 0 4 0 [26] 1 0 6 0 7 0 6 0 8 0 7 0 3 0 6 0 6 0 4 0 9 0 7 0 5 [51] 0 2 0 8 0 3 0 4 0 1 0 1 0 3

Dear list, What on earth is spec.pgram() normalized too? If you would like to skip my proof as to why it's not normed too the mean squared or sum squared amplitude of the discrete function a[], feel free too skip the rest of the message. If it is, but you know why it's not exact in spec.pgram() when it should be, skip the rest of this message. The issue I refer herein refers only too a

Recently our sysadm accidentally powercycled our server (RedHat8) after 198 days of uptime, and upon boot it insisted on checking one partition (/dev/sda7) in our RAID. When it was done, the files were in the state of August 23 last year, with anything newer either gone or invisible. I guess something went wrong with journaling data. What can I do to restore the current state (except restore from

I've installed Samba using smit. Everything installed just fine. I've configured my smb.conf file nicely. Whenever i try to start nmbd it looks like it starts but when i do a ps -ef i can't find it. Whenever I try to start "smbd", I get the following error: exec(): 0509-036 Cannot load program ./smbd because of the following errors: 0509-130 Symbol resolution

On Sat, May 04, 2019 at 06:42:47PM +0200, Thomas K?nig wrote: > > > - figure out Fortran2003 specification for C/Fortran interoperability > > -- this _sounds_ like the right solution, but I don't think many > > understand how to use it and what is implied (in particular, will > > it require making changes to LAPACK itself?) > > That would actually be fairly

Hey eveyone! I hope someone can help wiht this question. I have a matirux of all zeros and ones and I would like to indentify all unique patterns in the rows andthe number of times the pattern occurs. I changed all zeros to NA tried to use prelim.norm to identify all patterns of missing data in the rows. I got the message Warning message: NAs introduced by coercion Any ideas of how

dear list members, there seems to be a problem with the prelim.norm function (package norm) as number of items in the dataset increases. the output of prelim.norm() is a list with different summary statistics, one of them is the missingness indicator matrix "r". it lists all patterns of missing data and a count of how often each pattern occured in the dataset. as the number of items and

I am conducting a simulation study generating multivariate normal data, deleting observations to create a data set with missing values and then using multiple imputation via da.norm in Schafer's norm package. >From da.norm, I get the following error message: "Error: NA/NaN/Inf in foreign function call (arg 2)" The frequency of the error message seems to depend on the ratio of n

Hello all I'm running da.norm function in R for climate data rngseed(1234567) theta1=da.norm(mydata, thetahat, steps=1000,showits=T) param1=getparam.norm(mydata,theta1) As I understand the 1000 steps represent the markov chain values. Is there a way to plot them? Something like plot(1:1000, param1$mu[]). I just can't find a way to extract them out of my theta1. Thank you, Andrey.

Hello and apologies if this is a stupid question (just rejoined the list): Has anything changed with the norm() function with the latest update of the Matrix library? My old code seems not to be working properly even for very simple tests of the norm function. I get too many "No direct or inherited method for function "norm" for this call" messages. I am using windows, R

Hello, i need some help concerning the library norm. i habe to impute some missing values using the em algorithm. The help offered for the library doesn't really help me, maybe somebody already worked on em algorithm or multiple imputation. some fictive Data x1 x2 50 60 24 . 26 20 87 . 21 . Problem: Em Algorithm in R calculating the missings in x2. Thanks in advance. -- View this

Dear All, Thanks a lot for this quick help. I've managed to solve the issue. The problem was that I haven't installed the readline-devel and ncurse-devel packages. It compiled nicely Cheers, Antonio ---

Hi all Just wondering whether one can undertake Lp norm estimation (a type of regression analysis) in R? i.e. argmin S ( | y(i) - x(i)b | ^p ) where: * S is the summation over observation i= 1,2,...,n * y is a vector of n observations * x is an n by p matrix of explanatory variables * b is a p by 1 vector of beta coefficients and * p is a constant to be estimated such that

Hi! I want o calc the norm of a complex number ( |c| where c is complex). Does the function abs() this ? Thanks, -- Frank G. Zoellner AG Angewandte Informatik Technische Fakult"at Universit"at Bielefeld phone: +49(0)521-106-2951 fax: +49(0)521-106-2992 email: fzoellne at techfak.uni-bielefeld.de

> From: Christoph Lehmann > > Hi > > in matlab I defined a function (double gamma, parameters at > the end of > this mail) as > h(i)=((t/d1)^a1)*exp(-(t-d1)/b1)-c*((t/d2)^a2)*exp(-(t-d2)/b2); > h=h/norm(h); > > I do know that norm() in matlab is equal to: > > sqrt(sum(x^2)) > in R > so in R I do it like: > > #function (double

Hi everyone, I'm trying to use prelim.norm with a "big" matrix (36 columns by 10000 or so rows). I found that prelim.norm has a built-in limit of 30 columns, but I'd still really like to use it for my data. Does anyone know of a different way to do the same thing? Or, would it be easier to try to modify the source code? Thanks! Josh

Hello everyone, I am looking into time series data compression at the moment. The idea is to fit a curve on a time series of n points so that the maximum deviation on any of the points is not greater than a given threshold. In other words, none of the values that the curve takes at the points where the time series is defined, should be "further away" than a certain threshold from the

Dear all, Is anybody knows simple method for creation norm tables for psychological tests for several groups distinguished by sex and age? best regards, Krzysztof

Dear all, I have been implementing some bootstrap-related methods, and came across this theoretically undesirable behaviour in the computation of bootstrap quantiles. The manual says: ?Interpolation on the normal quantile scale is used when a non-integer order statistic is required.? Theoretically, when R=999 and (R+1)*alpha is integer, then, the calculations of the 95% CI should never contain