search for: tablecurv

Hi, exist in R or any other program for linux that estimate the best fit for data using severals functions? Somethink like tablecurve Thanks Ronaldo -- Um menino-prodigio e uma crianca cujos pais tem muita imaginacao. -- Jean Costeau -- |> // | \\ [***********************************] | ( ?? ?? ) [Ronaldo Reis J??nior ] |> V [UFV/DBA-Entomologia ] | / \ [365...

...s. How do I make it? | * * * * -> I need plot an ajusted | * * line in this points. | * * | * | * * | * * |* * * * |_________________________ Exist an abline like function for ajust others formulas? Exist in R anything like Tablecurve 2d? Thanks Ronaldo -- Majority, n.: That quality that distinguishes a crime from a law. -- | //|\\ [*****************************][*******************] || ( ? ? ) [Ronaldo Reis J?nior ][PentiumIII-600 ] | V [ESALQ/USP-Entomologia, CP-09 ][HD: 30 + 10 Gb ] || / l \...

...st which an applicant would have to pass in order to qualify for the topic: 1. Describe each of the following terms as they relate to statistical regression: categorical, periodic, modular, continuous, bimodal, log-normal, logistic, Gompertz, and nonlinear. 2. Explain which parts of http://bit.ly/tablecurve were adopted in SigmaPlot and which weren't. 3. Use the 'outliers' package to improve a regression fit maintaining the correct extrapolation confidence intervals as are between those with and without outlier exclusions in proportion to the confidence that the outliers were reasonably...

...lognormal. I found a website that explains how to fit univariate distribution functions based on cumulative probabilities, including a lognormal example, in Matlab: http://www.mathworks.com/products/statistics/demos.html?file=/products/demos/shipping/stats/cdffitdemo.html and other programs like TableCurve 2D seem to do this too. There must be a straightforward method in R which I have overlooked. Any suggestion on how can I estimate these parameters in R or helpful references are very much appreciated. (not sure if it helps but) here is an example of my type of data: treat.1 <- c(21.67, 21.67...