similar to: Problem Accessing Samba Server via Windows

I am debbuging my Kubuntu Linux to Windows XP Professional Service Pack 1 and 2 connection using Andrew Tridgell's excellent diagnosis.txt. The test fails on test 5 which should return a list of available shares from the server. From the XP command prompt: net view \\kinda System error 5 has occurred. Access is denied. I can't see why this error should be happening. Bother users have

Hi, I am still new to R and have, in spite of searching all over, found no "understandable" documentation for how to join two (or more) frequency tables. Why would I want to do that and what do I mean by "joining" ? Let me try to explain: I have a diagnosis form that allows registration of up to three diagnosis codes on animals with birth defects, like this: father.id

I am using procmail with deliver as recommended on the wiki to send mail snagged by SpamAssassin straight to a spam folder. It seemed to be working fine, but now I'm finding messages like this: Sep 17 12:13:47 hosty deliver(whoey): write() failed with mbox file /var/mail/whoey: File too large I don't think this is a setrlimit problem -- the host operating system is OpenBSD 4.0. My

Hello I have the problem that I want to transform a dataframe as generated by diagnosis <- rep(diagnosis[1:3], 3) marker <- gl(3,3) values <- rnorm(9) dataframe <- cbind(diagnosis, marker, values) dataframe <- dataframe[c(1:5, 7:9), ] into a matrix where levels(diagnosis) is indicating the rows of the matrix, levels(marker) the columns and values are the actual content of the

hello i have a mixed effect model which gives slope and intercept terms for 6 groups (diagnosis (3 levels) by risk group(2 levels)). the fixed part of the model is -- brain volume ~ Diagnosis + Risk Group + (Risk Group * age : Diagnosis) - 1 thus allowing risk group age/slope terms to vary within diagnosis and omitting a nonsignificant diagnosis by risk group intercept (age was centered)

Dear Rexperts, Given, aar <-function(command) { switch(command, {scrn = cat("scrn :Screening","\n")} {dx = cat("dx :Diagnosis","\n")} {df = cat("df :Don't Forget","\n")} ) } I want to be able to do: aar("dx") # function does cat("dx :Diagnosis","\n")

There used to be messages on this list around the time of a new release, letting people know what was happening, but that isn't happening this time. What list should the following question be directed to, if not this one? My auto-download program snagged a copy of the 5.1-RELEASE install ISO yesterday morning, but no release announcement was made. The directories exist on most, if not all

Dear all, I would like to know how to run an analysis of covariance in R. For example, I have a data frame ("data") consisting of two second-degree categorical variables ("diagnosis" and "gender"), one continous independent variable ("age") and one continous dependent variable ("response"). I ran a simple anova to see the effects of diagnosis

Dear R people Could you please help. Basically, there are two variables in my data set. Each patient ('id') may have one or more diseases ('diagnosis'). It looks like id diagnosis 1 ah 2 ah 2 ihd 2 im 3 ah 3 stroke 4 ah 4 ihd 4 angina 5 ihd .............. Q: How to make three data sets: 1. Patients with ah and ihd 2. Patients with ah but no ihd 3. Patients with ihd but no

Hi all, I am reading the MASS book but it doesn't give examples about the diagnosis and model checking for rlm... My data is highly non-Gaussian so I am using rlm instead of lm. My questions are: 0. Are goodness-of-fit and model-checking using rlm completely the same as usual regression? 1. Please give me some pointers about how to do goodness-of-fit and residual diagnosis for

I'm puzzled by the following problem, which appears when attempting to run an analysis on part of a dataset: If I try: csubset <- dat$Diagnosis==0 cont <- lme(fixed=cform, random = ~1|StudyName, data=dat,subset=csubset,na.action=na.omit) Then I get: Error in eval(expr, envir, enclos) : Object "csubset" not found But if I do

Hi All: Could anyone point me to a package that can calculate stratified kappa? My design is like this, 4 raters, 30 types of diagnosis scores, 20 patients. Each rater will rate each patient for each type of diagnosis score. The rater's value is nominal. I know I can measure the agreement between raters for each type of diagnosis score, e.g., calculate out 30 kappa values. My problem is I

Fellow server-builders out there, this is for you. :) I was trying to build a cheap JBOD type storage solution running CentOS. Ended up snagging a Supermicro SC826TQ-R800LPB 2U case (12 drives slots) and a Supermicro X7DBE-O motherboard. Unfortunately, without thinking I snagged a 3ware 9650SE-12ML SATA RAID card which is a full height card and thus does not fit in my case. I have a few

I just tried with no mountpoint information, and I get the same results, icecast is still not accepting 'SOURCE hackme' as the first header, it only wants the password (verified by telneting in). So, how to I recompile libshout2 into the ices2beta? It doesn't want to take the command-line param, or the in.so.conf file setting (or the LIBDIR evn variable)... Or, can someone give me a

I've run into an unpleasant oddity involving the interaction of environments and generic functions. I want to check my diagnosis, and see if there is a good way to avoid the problem. Problem: A library defines "foo" <- function(object) 1 setMethod("foo", c("matrix"), function(object) 30) After loading the library foo(0) is 1 foo(matrix()) is 30 foo is a

Big thanks. newXMLNode works great. Wonder why it is not included in the documentation. There is newXMLDoc and newXMLNamespace, but no mention of newXMLNode. Stephen From: Ben Tupper [mailto:btupper at bigelow.org] Sent: Wednesday, March 21, 2018 6:18 PM To: Bond, Stephen Cc: r-help Subject: Re: [R] how to add a child to a child in XML Hi, XML doesn't use the `$` to access child nodes.

However, trying this on Linux Mint gave package ?installr? is not available (for R version 3.4.2) Has the package not been updated yet? JN Try the installr package. It was designed for this purpose. On Fri, Nov 10, 2017 at 11:49 AM, Bond, Stephen <Stephen.Bond at cibc.com> wrote: > Is there a utility which will allow me to upgrade my R version and update all packages from the old

Hi R-users Is there any functions in R that can implement "expert systems"? The aim of an expert system is to produce a probable diagnosis for a patient with certain symptoms. In the classical expert system a mumber of "experts" are asked to make "statements" on the probabilities for different diseases when a combination of systems would appear. One typical

Hi list, I'm new to R and I'm currently using ROCR package. Data in input look like this: DIAGNOSIS SCORE 1 0.387945 1 0.50405 1 0.435667 1 0.358057 1 0.583512 1 0.387945 1 0.531795 1 0.527148 0 0.526397 0 0.372935 1 0.861097 And I run the following simple code: d <- read.table("inputFile", header=TRUE); pred <- prediction(d$SCORE, d$DIAGNOSIS); perf <- performance(

Just following your the Diagnosis Article located at (http://samba.org/samba/docs/DIAGNOSIS.html):- At Test 3, there is nothing mentioned if the test prompts for a password:- mercury# smbclient -L mercury added interface ip=203.220.30.98 bcast=203.220.30.103 nmask=255.255.255.248 added interface ip=192.168.10.122 bcast=192.168.10.255 nmask=255.255.255.0 Password: When I press ENTER, it then