similar to: medcouple-based outlier detection in R

I tried to use BATCH command to run an input file (a simple text file) which contained a few R commands. I first saw the BATCH help page using      > ?BATCH The help page mentioned the Usage as: Batch Execution of RR CMD BATCH [options] infile [outfile] The Detailed section mentioned the following: Use R CMD BATCH --help to be reminded of the usage. My input file is called batchchk, which

I need to run a set of R commands in batch mode. Can somebody please provide pointers to information on how to write R scripts to execute commands in batch mode? Thanks, Manuj Try the new Yahoo! India Homepage. Click here. http://in.yahoo.com/trynew [[alternative HTML version deleted]]

Hi, I want to plot the residuals of a least-squares regression. plot(lm(y~x), which=1) does this, but it plots the y-axis of my data on the x-axis of the residuals plot. That is, it plots the residual for each y-value in the data. Can I instead use the x-axis of my data as the x-axis of the residuals plot, showing the residual for a given x? Thanks! Jason Priem University of North

Hi List! Suppose I have the following, please: > setClass("buzz",representation(x="numeric"),S3methods=TRUE) [1] "buzz" > x <- rnorm(10) > class(x) <- "buzz" > plot.buzz <- function(x,y,...) { + plot.default(x,type="l",col="blue") + } > f <- function(x) { + return(x^2) + } >

All, I need help. I have an (actually 2) Adtran TA750's with 8 FXO ports. I get a terrible buzz on every FXO port. If I unplug the Adtran and put an analog phone on each incoming line, I have no buzz. I also have 2 Carrier Access Access Bank I's with 12 FXO ports. When I plug the same analog lines into either one of those, no noise or buzz whatsoever. I went so far as to move the TA750

Hi, I've recently set Asterisk up, 1.0.2 version. With 1 x X100P card and 1 SIP phone. I've noticed some horrible buzz/rasping type of sounds! These seem to occur when * is trying to play back some audio or sound to me? E.g. If I have an exten rule which plays one of the music on hold files when I dial 800 lets say, I get a really loud buzz for about 2 seconds and then the music plays.

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)

Hello List does anyone have an R function for the Lambert W function? I need complex arguments. [the Lamert W function W(z) satisfies W(z)*exp(W(z)) = z but I could'nt even figure out how to use uniroot() for complex z] -- Robin Hankin Uncertainty Analyst Southampton Oceanography Centre SO14 3ZH tel +44(0)23-8059-7743 initialDOTsurname at soc.soton.ac.uk (edit in obvious way; spam

H all, I have relative abundance data from >100 sites. This is from acoustic monitoring and usually the data is for 2-3 nights but in some cases my be longer like months or years for each location.. The data output from my management data base is proved by species by night for each location so data frame would look like this below. What I need to do is sum the Survey_time by Spec_Code for

I'm running a X100P connected to a POTS line and a TDMP400P w/ two FXS daughter cards. Both calling out from one of the FXS phones (internally) or calling my home number (externally) the FXO card starts to freak out. By freak out I mean I can still hear but it sounds like you are underwater, there is an annoying hiss or buzz on the line as well. If I hang up and pick up another house phone

I've got a real problem with the debian (unstable) wine 0.0.200202228-1 Whenever I try to run a windows executable - of any sort, although it's Jeskola Buzz in the example I've attached - wine cheerfully spits the dummy. I realise that the DRIVE_Init warnings are ignorable, but #warn:dosfs:DOSFS_FindUnixName 'config\system' not found in ... #warn:dosfs:DOSFS_FindUnixName

Dear R helpers   I have two series A and B as given below -   A <- c(2, 2, 1, 3, 7, 3, 3, 1, 14, 7, 31) B <- c(0.0728,0.9538,4.0140,0.0020,2.5593,0.1620,2.513,0.3798, .0033,0.2282, 0.1614)   I need to calculate the total in dataset B corresponding to the numbers in dataset A i.e. for no 1 in A, I need the total as 4.0140+0.3798 (as 1 is repeated twice) for no 2, I need the total as

For the analysis of financial data wih a large variance, what is the best way to select an outlier threshold? Listed below, is there a best method to select an outlier threshold and how does R calculate it? In R, how do you find the outlier threshold through an interquartile range? In R, how do you find the outlier threshold using the hist command? In R, how do you find the outlier threshold

I am attempting to access the in-built LDAP backend to use for authentication for an external web app. When connecting to the server, an error is returned "Strong(er) authentication is required (8) for user" Google suggests that this is due to the fact that simple authentication is not enabled on the LDAP server. This web app, however, does not support SASL. So, is it possible to

Dear R People: When I want to produce a small sample confidence interval using t.test, I get the following: > t.test(buzz$var1, conf.level=.98)$conf.int [1] 2.239337 4.260663 attr(,"conf.level") [1] 0.98 How do I keep the attr statement from printing, please? I'm sure it's something really simple. Thanks, Sincerely, Erin -- Erin Hodgess Associate Professor Department

Hello, I need to analyse a data matrix with dimensions of 30x100. Before analysing the data there is, however, a need to remove outliers from the data. I read quite a lot about outlier removal already and I think the most common technique for that seems to be Principal Component Analysis (PCA). However, I think that these technqiue is quite subjective. When is an outlier an outlier? I uploaded

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

LDAP can be use in clear text mode or with start_tls. There is still LDAPS which can also be used. Any of these should be used to authenticate users as LDAP[s] is not meant to authenticate anything, it's a DB. Kerberos should be used for authentication as it is meant for that purpose and could grant your users possibility to have SSO. More secure for admins, more simple for users... I have

hi - if I sample from a normal distribution with something like n100<-rnorm(100,0,1) and add an outlier with n100[10]<-4 then qqnorm(n100) visually shows the point 4 as an outlier and calculating the probablity of a value of 4 or bigger in 100 samples of norm(0,1) gives > 1-exp(log(pnorm(4,0,1))*100) [1] 0.003162164 If I have more than 1 sample above outlier threshold the math is a

Hi all, It has been a year or so since I have run this code to plot temporal activity. It was working now I am getting an error related to MUTATE. Error in UseMethod("mutate") : ? no applicable method for 'mutate' applied to an object of class "character" Any help/suggestions welcomed. Tnx to all the R code gurus out there. R v 4.4.0 Bat Dude The saved code I