search for: lineair

...f$result <- c names(df) <- c("A","B", "result") Although I can make a graph of the data: require(lattice) wireframe(result~A*B, data=df) I can't get a model to fit this 3D data. I have tried the lm function, but its easy to see that this a non lineair data set. The use of poly also isn't a solution. I tried to use nls, but there seems to be an error? mod <- nls(result~A:B, df, start = list (A=0, B=0)) Error in qr.qty(QR, resid) : 'qr' and 'y' must have the same number of rows Is there a way to fit this data? Tha...

Dear R specialists, I'm working with time series and want to investigate the relationship between two time series by correlation analysis or by fitting a gen. lineair model to the plot of x(timeserie1) and y(timeserie2). Lin1 <- data.frame( Nr = c(1:lengte), NDII = window(ts.mNDII,c(1998,10),c(2003,11)), InvERC = window(Inv.ERC,c(1998,10),c(2003,11)) ) summary(glm(NDII ~ InvERC, data=Lin1, family=gaussian(link ="identity...

Hello, I'm using MySQL realtime Call Queues (table /queues/ and table /queue_members/). I would like to ring the members of the call queue in a certain order. Therefore I use ring strategy /lineair /and I put the members into the table /queue_members/ in the order in which they have to be rang. So I have the queue : | name | musicclass | announce | context | timeout | monitor_type | monitor_format | queue_youarenext | queue_thereare | queue_callswaiting | queue_holdtime | queu...

I really should have just said that it will require some testing to make sure the FLAC API can handle writing the same file from multiple threads. It may not turn out to be complicated at all. The FLAC decoder has its own code for writing PCM files already. Tweaking this to support multi-threaded writes would not be too difficult. It's simply a matter of building the PCM file,

...re for curvature To: r-help at r-project.org Message-ID: <13853341.post at talk.nabble.com> Content-Type: text/plain; charset=us-ascii You mean non-linearity? You can use a lack of fit test by using: anova(lm(y ~ x+factor(x), data)) The F-value of factor(x) is the lack of fit test, and when lineair, the p value should be <0.05 when using 0.95% significance. Bart Wensui Liu wrote: > > in statistics, is there a measure for curvature? how to detect and > quantify the curvature between 2 variales instead of using > visualization? > thank you so much! > > _____________...