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Lesley Kimmel <lesley.j.kimmel at gmail.com> writes: > So I probably shouldn't have said "arbitrary" script. What I really > want to do is to present a terms of service notice (/etc/issue). But I > also want to get the user to actually confirm (by typing 'y') that > they accept. If they try to exit or type anything other than 'y' they > will be

One is an integer and the other is not. Try for (i in 1:5) print( identical( i, as.integer(1) ) ) --- Date: Fri, 12 Dec 2003 14:47:07 -0800 From: John Welsh <jwelsh at skcc.org> To: 'R-help at lists.R-project.org' <R-help at stat.math.ethz.ch> Subject: [R] Basic question on function "identical" > for(i in c(1:5)) + { + print(identical(i,1)) + } [1]

Hello, Parano?ac? Maybe... When encoding my files in FLAC, and using the Verify option, I do a final test with Cool Edit Pro v2.0, which used a flac.flt file created by James Chapman for Flac v 1.1.2. The problem is that, when decoding a Flac file with the Josh Coalson soft, I obtain the same file, in content in size than the original WAV file, but when opening the FLAC file in Cool Edit (using

Gert, Thank you for the feedback. Can you give any further direction on where to get more information on what you are describing? On Wed, Feb 17, 2016 at 3:17 PM, Gert Doering <gert at greenie.muc.de> wrote: > Hi, > > On Wed, Feb 17, 2016 at 12:59:57PM -0600, Lesley Kimmel wrote: > > I would like to implement an arbitrary script to be executed when logging > > on via

Hello, Different how? When displaying the wave in Cool Edit (it's to say, the FLAC file itself is opened and decoded through the Chapman filter), the audio wave result shows little differences : changes in frequencies at a given time, lower or higher; not many changes, but changes! I attribute this to the filter, because when decoding with your soft, already used for encoding, no problem

Hi Dean, Applies thanks! Out of curiosity, which part of mvm are you using? I guess the GC? Nicolas Dean Calver wrote: > Hello, > > Here's a tiny patch to the VMKIT tools makefile, that allows you to > build VMKIT without both Java and CLI. I'm working on a new bytecode > front end so wanted a 'clean' mvm without building to two existing > front ends.

Hello, I'm new in this R world and I don't know much about statistics, but now I have to analize some data and I've got some first queries yet: I have 5 sets of area mesures and each set has 5 repetitions. My first step is to check data looking for outliers. I've used the outliers package. I have to use the cochran test and the grubbs test in case I find any outlier. The problem

> for(i in c(1:5)) + { + print(identical(i,1)) + } [1] FALSE [1] FALSE [1] FALSE [1] FALSE [1] FALSE Why don't I get: [1] TRUE [1] FALSE [1] FALSE [1] FALSE [1] FALSE John Welsh Associate Professor Sidney Kimmel Cancer Center 10835 Altman Row San Diego, CA 92121 (858) 450-5990 ex.282 jwelsh at skcc.org

I have a statistical question. The data sets I am working with are right-skewed so I have been plotting the log transformations of my data. I am using a Grubbs Test to detect outliers in the data, but I get different outcomes depending on whether I run the test on the original data or the log(data). Here is one of the problematic sets: fgf2p50=c(1.563,2.161,2.529,2.726,2.442,5.047)

Hi! I'm trying to implement an outlier test once/row in a large dataframe. Ideally, I'd do this then add the Pvalue results and the number flagged as an outlier as two new separate columns to the dataframe. Grubbs outlier test requires a vector and I'm confused how to make each row of my dataframe a vector, followed by doing a Grubbs test for each row containing the vector of numbers

I would like to implement an arbitrary script to be executed when logging on via SSH. This is supposedly possible using the ForceCommand option to sshd. However, as soon as I implement any script, even as simple as echoing a string, clients can no longer connect to the server. Clients report only that the connection was dropped by the server. The server, in debug mode, shows: Feb 17 16:14:01

Dear All, I have small samples of data (between 6 and 15) for numerious time series points. I am assuming the data for each time point is normally distributed. The problem is that the data arrvies sporadically and I would like to detect the number of outliers after I have six data points for any time period. Essentially, I would like to detect the number of outliers when I have 6 data points then