similar to: Logistic regression : dicrepancies between glm and nls ?

Hi I migrated from Linux to Mac, but I don't this has anything to do with it, but I am not sure. I am writing a small logger package, in which I have a file aaa.R: ,---- | .logData <- new.env() | assign("loggingThreshold", 10, envir = .logData) | assign("logToFile", FALSE, envir = .logData) | assign("logFileName", NULL, envir = .logData) | |

Hi All, I am attempting to work with some data from loggers. I have read in a .csv exported from MS Access that already has my dates and times (in 24 clock format), (with StringsAsFactors=FALSE). > head(tdata) LogData date time 1 77.16 2008/04/24 02:00 2 61.78 2008/04/24 04:00 3 75.44 2008/04/24 06:00 4 89.43 2008/04/24

Hi List! May I tap into your combined common sense ? I have a legacy logging app that needs to be modernized. At the moment, Data is going to be stored in 5 tables, one table is going to contain more than 200 million and 2 others about 60 million rows. Mysql will be used, unless someone sees a major advantage in using something else (at the moment data is stored in a raw positioned file format,

We recently installed a 24 disk SATA array with an LSI controller attached to a box running Solaris X86 10 Release 4. The drives were set up in one big pool with raidz, and it worked great for about a month. On the 4th, we had the system kernel panic and crash, and it''s now behaving very badly. Here''s what diagnostic data I''ve been able to collect so far: In the

Hi all, I am trying to setup the SMS of Asterisk. I have a Siemens SMS enable fixed phone which connects to my Asterisk through PSTN. Currently, I can use my fixed phone to edit and send messages to the Asterisk. However, I cannot make my Asterisk to send messages to the fixed phone. The SMS command displays TX and RX records, hang for a while and then stops with non-zero exits. I read

Hi, i'm trying to relay local post from Postfix to Dovecot-lda. It's running on opensuse11.3-64bit with postfix V2.7.1 and dovecot V2.01. sending local message like: echo foo | /usr/sbin/sendmail -f root root gets no logdata in dovecot.err, -.info,-.debug. but the postfix-logfile tells: Sep 11 10:56:12 server postfix/cleanup[3027]: 94027A65BC: message-id=<20100911085612.94027A65BC at

Andreas, can you explain "magic folder"? The only thing I tried was creating named FIFO .dovecot.sieve.log, and starting mailx user at my.domain.com < .dovecot.sieve.log which need to be done for each user of my domain, and better wrapped in some script which will make it started after each sievec run. -- Regards, Sergey. On Fri, Feb 2, 2018 at 7:23 PM, A. Schulze <sca at

R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =

Hi, I have two tables: > iso continent code code3 codenum country 1 EU AD AND 20 Andorra, Principality of 2 AS AE ARE 784 United Arab Emirates 3 AS AF AFG 4 Afghanistan, Islamic Republic of 4 NA AG ATG 28 Antigua and Barbuda 5 NA AI AIA 660

Hi, I'm really new to R so I aoplogise if this is a stupid question. I'm trying to import data from a .txt file into R using the read.table command, the headers for the data columns are already in the text file so I add Header = True after the file location. The problem is I keep getting the error message *unused argument(s) (Header = True)*, does anyone know why? The format of the text

Hi! I have some questions about MARS model's coefficient of determination. I use the MARS method in my master's thesis and I have noticed some problems with the MARS model's R^2. You can see the following example that the MARS model's R^2 is too big when i have used mars() -function for MARS model building, and when I have made MARS-model using a linear regression, it

Let's say I have a variable, day, which is saved as a factor with 7 levels, and I use it in a logistic regression model. I ran the model using the car package in R and printed out the results. mod1 = glm(factor(status1) ~ factor(day), data=mydat, family=binomial(link="logit")) print(summary(mod1)) The result I get is: Coefficients: Estimate Std. Error z value

I am wondering how to interpret the parameter estimates that lm() reports in this sort of situation: y = round(rnorm(n=24,mean=5,sd=2),2) A = gl(3,2,24,labels=c("one","two","three")) B = gl(4,6,24,labels=c("i","ii","iii","iv")) # Make both observations for A=1, B=4 missing y[19] = NA y[20] = NA data.frame(y,A,B) nonadd = lm(y ~

Dear all, Currently I am trying to integrate a function which depends on four variables, two of which are given, one is given in the integrate function, so there is one variable to integrate on. The code is as follows: Pmatrix = function(th) { P = matrix(nrow=6, ncol=6, data=0) P[1,1] = P[2,1]=P[3,2]=P[4,3]=P[5,4]=P[6,5]= exp(-th) P[,6] = 1-exp(-th) return(P)} lim.verd =

Hello, I am new to R and have tried to search similar questions but could not find exactly what I am looking for, but I apologize if the question was already asked. I have 10 different treatments and want to know whether they affect the sex ratios of insect emergence. After running the glms I got this table: Df Deviance Resid. Df Resid. Dev F Pr(>F) NULL

I have a data set for different time intervals. The data has three comment lines before data for each time interval. For each time interval there are 500 data points. I want to change the dataset such that I have the following format: t1 t2 t3 ................ 0.00208 0.00417 0.00625 ................. a1 a2 a3 ...................

For a long string in an axis title, or main title the postscript device breaks apart the long strings into smaller strings. For example, > postscript('linebreaktest.eps') > plot(1,xlab='aReallyLongStringToSeeHowItBreaks',ylab='aReallyLongStringToSeeHowItBreaks') > for(i in c(.6,1,1.4))text(i,i,'aReallyLongStringToSeeHowItBreaks') > dev.off() produces

On Tue, Jan 29, 2013 at 3:59 PM, Murali, Sriram <sriram.murali at intel.com> wrote: > Our benchmark results show that the compilation time performance improved by > ~0.5%. That's fairly small; what was the standard deviation, confidence interval, etc? -- Sean Silva

The compilation time is measured for different benchmarks while compiling a .bc file into a shared object. The improvement across the range of benchmarks is listed in following table. If the reason behind the need for other performance metrics is to identify possible measurement errors, then I think this table would be of some help. However, we do not have the standard deviation and confidence

I apologize if this has already been covered, I did a half-hearted search of the mail archives but couldn't find anything, although I did find a couple of posts elsewhere of people having similar trouble with ppmtolss16. I'm having a few build problems on redhat 8.0, the first failure in the build is a fatal error from findpatch.pl early in the build. Bumbling through that problem there