similar to: Robust fitting

Good evening, I am Marta Colombo, student at Milan's Politecnico. Thank you very much for your kindness, this mailing list is really useful. I am using the function kde2d for two-dimensional kernel density estimation and I'd like to know something more about this kind of density estimator. In particular I'd like to know: what bandwidth is used ? Thank you in advance for your attention

Good morning, I am Marta Colombo,student at Politecnico,Milan. I am studying local regression models and I am using loess function. My problem is that when I have a loess object I don't know how to display the fitted surface; in fact, while in S when you have a loess object you can see it writing plot(object), in R this dosen't work. Also I'd like to know if there is something like the

Hi! I am Marta Colombo, student in Mathematical Engineering at "Politecnico di Milano". For my master degree thesis I have to analyze some categorical data. My dataset is composed by 327 individuals and 16 variables. I am using Fisher exact test to test independence on IxJ contingency tables, but I have a problem with one variable. R gives me this error message: FEXACT error 7.

Good evening, I am Marta Colombo, student of the "Politecnico" in Milan and I'm looking for some help.I'd like to know how I can see R-Squared using loess because in the output there are only: number of observations equivalent number of parameters residual standard error and even looking at the summary I wasn't able to find it. Thank you very much for the attention, Marta

Hi Every Body, I don't know why some regression functions have no related prediction function. For example lowess, loess, lokerns, lpridge, lpepa, and ksmooth. What could help? Is there any global or wrapper function so that can help? Regards, Amir Safari --------------------------------- [[alternative HTML version deleted]]

Good evening, I am Marta Colombo, student at Milan's Politecnico. Thank you very much for your kindness, this mailing list is really useful. I am using the function kde2d for two-dimensional kernel density estimation and I'd like to know something more about this kind of density estimator. In particular I'd like to know: what bandwidth is used ? Thank you in advance for your attention

Hello, I want to do regression or missing value imputation by knn. I searched r-help mailing list. This question was asked in 2005. ksmooth and loess were recommended. But my case is different. I have many predictors (p>20) and I really want try knn with a given k. ksmooth and loess use band width to define neighborhood size. This contrasts to knn's variable band width via fixing a

Hi all, I am looking for a command for doing 2D filtering (rectangular or Gaussian) in R... I have looked at ksmooth, filter and convolve but they seem to be 1D... Any thoughts? Thanks a lot! [[alternative HTML version deleted]]

Apologies in advance if my comments don't help, in which case, no need to respond, but I noted in ?ksmooth: "bandwidth the bandwidth. The kernels are scaled so that their quartiles (viewed as probability densities) are at ? 0.25*bandwidth." So, could this be a source of the discrepancies you cited? Given that ?ksmooth explicitly says: "Note: This function was implemented for

Hi all, I am doing a projection pursuit regression using the ppr() function from modreg. I would also like to use predict.ppr(). However, I cannot find any information about it in the help files. There is a link to predict.ppr in the index for modreg, but that link is to the help for ppr(). Has predict.ppr() not been implemented? If not, does anyone have a suggestion as to how to implement

Hello, I need an information: is it possible to call the statistical R_project funtions from a C or Fortran application? In the r_exts.pdf manual I found that is possible to interface R-project with compiled C/Fortran routines, but I didn't found anything about the opposite situation. Thanks in advance Giovanni Colombo CESI spa - Funzione Informatica e Automazione Via Rubattino 54 - 20134

Hi all, is there any Italian developer that can be interested in a LLVM social event/meetup in Italy? Best, --- Marco Bambini http://creolabs.com http://twitter.com/sqlabs

Dear R Users, Before running ksmooth( ), a suitable bandwidth selection is needed. I use some functions for this task and receive these results for my data: width.SJ(y,nb=100,method="ste") : 40.25 bcv(y,nb=100) : 40.53 ucv(y) : 41.26 bandwidth.nrd(y) : 45.43 After implementing the function ksmooth(x,y, bandwidth= each of abovementioned bandwidths), I have some NAs

Hi there, I'm using the lattice package to create an xy plot of abundance vs. depth for 5 stages of barnacle larvae from 5 species. Each panel of the plot represents a different stage, while different loess smoothers within each panel should represent different species. However, I would like depth to be on the y-axis and abundance to be on the x-axis, because this is more intuitive as an

Carlos, mi intencion es entender el codigo: https://github.com/woobe/blenditbayes/blob/master/2013-06-street-level-crime/analysis.R Para luego hacer mi trabajo, algo similar a esto, pero adaptado a mi región. Si te fijas en las lineas 141-161, esta esto: ## Convert the base map into a ggplot object ## All added Cartesian coordinates to enable more geom options later on map.ggmap <-

Para este ejemplo especifico: Deseo saber si tmp genera un objecto ggplot > tmp <- ggplot(mtcars, aes(x = hp, y=mpg)) + geom_point() El objecto o variable tmp, devuelve una lista y un gráfico, la clase dice ser ggplot, >class(tmp) [1] "gg" "ggplot" > typeof(tmp) [1] "list" El 30 de enero de 2014, 13:00, daniel

Dear Sir, Madam, or to whom this may concern, my name is Jan Failenschmid and I am a Ph.D. student at Tilburg University. For my project I have been looking into different types of kernel regression estimators and corresponding R functions. While comparing different functions I noticed that stats::ksmooth returned different estimates for the same bandwidth as other kernel regression estimators

Hi has anyone succeeded in installing R on DEC alpha OSF 4.0 with gcc/g77 ? The PLATFORMS file mentions successful installtion on OSF 3.2 using cc. Here is the output I get when trying to compile: ld -shared -o eda.so line.o smooth.o ld: Warning: Unresolved: floor ceil rsort __exc_add_pc_range_table __exc_add_gp_range __exc_remove_pc_range_table __exc_remove_gp_range make[4]: Leaving

Hello, I am a newbie in R, I just did my first function, which works!!! And I would like to know, if I can create a directory in the library with my functions, in a way, which I could call that like we call the packages ? Can anyone help me? Thanks in advance Marta ><((((?>`?.??.???`?.?.???`?...?><((((?>`?.??.???`?.?.???`?...?><((((?>

Daniel, Disculpa si no entiendo, pero, entonces un objecto ggplot en en realidad una función y no un gráfico El 30 de enero de 2014, 11:09, Marta Garcia <marta000garcia@gmail.com>escribió: > Sí, devuelve Error: No layers in plot, no le he agregado capas > por eso el error, la funcion me dice que es un gráfico > > > El 30 de enero de 2014, 10:31, José María Mateos