search for: mappi

Hi, Do you know whether it is possible to use wildcards in download.file()? For example: url = "ftp://abc.com/*.*" # to download all the files in the ftp folder download.file(url,destfile=...) # does not work, any solutions? Thanks! JIng

Second problem is output: when I switch layout to russian I get the follo= wing=20 error: #fixme:keyboard:X11DRV_KEYBOARD_DetectLayout Your keyboard layout was not= =20 #found! #Using closest match instead (Russian keyboard layout) for scancode mappi= ng. #Please define your layout in windows/x11drv/keyboard.c and submit them #to us for inclusion into future Wine releases. But where's this file located? Third problem is that programs incorrectly read names of folders with rus= sian=20 letters (pervert encoding, so '=E4=C9=D3=D4=D2=C9=C...

I try to call a helper define inside the *application_helper.rb* but I obtain an error. Is it possible ? There is an other way ? Thanks

Hy everyone, I am new in R so I will pose a simple question that I cannot find out reading tutorials. I would like to install the R-package "FunctSNP" by file.zip because it?s in the archive (http://ftp.sunet.se/pub/lang/CRAN/src/contrib/Archive/FunctSNP/) but It doesn?t work, I think some problem concernings library. Could someone show me how to do? Thanks LT

Hi, I am trying to predict the habitat suitability of lobster with GAMs. I need to produce a map in ArcGis of the predicted densities. I did some search and the function predict.gam seems to do the job. Is this the right way to do it? when you apply the function you get the predicted values (different from your input data points) but I do not understand what is the procedure with the spatial

Hi, I want to save a plot in the windows device as png and the default resolution is 72dpi. Is it possible to increase the default resolution to for example 300 dpi? I have thought of using function png(..., res=300), but the problem is that the figure produced this way looks different than the one shown in the windows device. One notable difference is the missing of some ticks in the x

Hi all! I think I remember there have discussion on this topic on this mailinglist a while ago. But the archives don''t find anything. Did anyone here set up a configuration with shorewall and heartbeat or vrrpd or ucarp? What would you prefer? Any experiences with failover times, setup problems etc? Good documentation on this? Thanks, Christian -- you don''t need eyes to see

Hi, I have a list p with different size dataframes and length of over 8000. I'm trying to calculate correlations between the rows of dataframes of this list and columns of another dataset (type data.frame also) so that first column is correlated with all the rows in the list dataframe. Some information from another dataset is also included to the final output (all.corrs). This worked a

...he outgoing task's kmaps are removed and the incoming task's kmaps are restored. - Adding new interfaces k[un]map_local*() which are not disabling preemption and can be called from any context (except NMI). Contrary to kmap() which provides preemptible and "persistant" mappings, these interfaces are meant to replace the temporary mappings provided by kmap_atomic*() today. This allows to get rid of conditional mapping choices and allows to have preemptible short term mappings on 64bit which are today enforced to be non-preemptible due to the highmem constraints....

...he outgoing task's kmaps are removed and the incoming task's kmaps are restored. - Adding new interfaces k[un]map_local*() which are not disabling preemption and can be called from any context (except NMI). Contrary to kmap() which provides preemptible and "persistant" mappings, these interfaces are meant to replace the temporary mappings provided by kmap_atomic*() today. This allows to get rid of conditional mapping choices and allows to have preemptible short term mappings on 64bit which are today enforced to be non-preemptible due to the highmem constraints....

...he outgoing task's kmaps are removed and the incoming task's kmaps are restored. - Adding new interfaces k[un]map_local*() which are not disabling preemption and can be called from any context (except NMI). Contrary to kmap() which provides preemptible and "persistant" mappings, these interfaces are meant to replace the temporary mappings provided by kmap_atomic*() today. This allows to get rid of conditional mapping choices and allows to have preemptible short term mappings on 64bit which are today enforced to be non-preemptible due to the highmem constraints....

Dear all, I am fitting an nonlinear glm() using optim() by first minimising glm(resp~ var1 + var2, family=binomial, data=data)$deviance where var1= exp(-a1*dist1), and var2= exp(-a2*dist2), where a1 and a2 are parameters and dist1 and dist2 are independent variables. Next, I calculate the value of var1 (and var2) by plugging in the value of al1 (and al2) that minimises deviance, and fit

Dear experts, I would like to plot a hierarchical clustering of 300 items. I had a distance matrix with dimension of 300*300. The 300 items were from 7 groups which I would like to label with 7 different colours in the plot. > h<-hclust(as.dist(300_distance_matrix)) > plot(h,hang=-1,cex=0.5, col="blue") I used the above script to plot the result. The cluster was all blue,