[R] boxplot with x-axis time

Dear R-users, I want to plot boxplots of a single variable collected a few times during almost one year and I would like the x-axis to recognize the date-class of the variable. I found some topics in the archive but: - some questions were poorly posed (http://r.789695.n4.nabble.com/Boxplot-with

Re: [R] curve fitting an exponential function

Giuseppe - Giuseppe Calamita PhD at CNR-IMAA Italian National Council of Research - Institute of Methodologies for Environmental Analysis, Tito Scalo -Potenza ITALY -- View this message in context: http://r.789695.n4.nabble.com/curve-fitting-an-exponential-function-tp4644765p4645439.html Sent from

Re: [R] problem in lodging package

you need to specify both the package containing the function and then the function E.G. pckg:function(parameters) hope this helps - Giuseppe Calamita PhD at CNR-IMAA Italian National Council of Research - Institute of Methodologies for Environmental Analysis, Tito Scalo -Potenza ITALY

Re: [R] Please help

Dear Jun I think you should consider to submit your question to R-SIG (special interest group) about spatial data http://r-sig-geo.2731867.n2.nabble.com/ This will improve the probability you get some help. Cheers Giuseppe Calamita - Giuseppe Calamita PhD at CNR-IMAA Italian National

Re: [R] svm with GRASS GIS

Hi Ethienne, we (me and Gab) would like to thank you ! Finally we got what we were looking for but we did it without use the "raster" packagebut we are going to try also with it to see if it allow to have faster computation or data manipulation, If you're interested we can show you the code we

Re: [R] svm with GRASS GIS

Dear Ethienne, thanks a lot for your help. We finally manage to perform the svm classification in this way: library(spgrass6) ; G <- gmeta6() TL_training_2006_id.raw<-readRAST6("TL_training_2006_id") # classes training area B1_B2_B3_train.raw<-readRAST6(c("AST_L1B_2008_05_2009_area_giusta_1_t

Re: [R] svm with GRASS GIS

Dear Etienne, I'm a colleauge of Gabriele and I'm more into R (but he is more into GRASS). I'll try to explain you what we didi so far 1) Our ASTER images, (B1, B2 and B3) have 8363134 pixels; we made a subset in order to have training data sets: that is, for each band (B1,B2 and B3) 916 pixels w