similar to: expand gridded matrix to higher resolution

You probably ought to be using the raster package. See the CRAN Spatial Task View. -- Sent from my phone. Please excuse my brevity. On July 5, 2017 12:20:28 AM PDT, "Anthoni, Peter (IMK)" <peter.anthoni at kit.edu> wrote: >Hi all, >(if me email goes out as html, than my email client don't do as told, >and I apologies already.) > >We need to downscale climate

Hi Peter, apply(t(apply(mm,1,rep,each=3)),2,rep,each=3) Jim On Wed, Jul 5, 2017 at 5:20 PM, Anthoni, Peter (IMK) <peter.anthoni at kit.edu> wrote: > Hi all, > (if me email goes out as html, than my email client don't do as told, and I apologies already.) > > We need to downscale climate data and therefore first need to expand the climate from 0.5deg to the higher

> -----Original Message----- > From: William Dunlap > Sent: Tuesday, November 25, 2008 9:16 AM > To: 'johannes_graumann at web.de' > Subject: Re: [R] Efficient passing through big data.frame and > modifying select fields > > > Johannes Graumann johannes_graumann at web.de > > Tue Nov 25 15:16:01 CET 2008 > > > > Hi all, > > > >

I believe you need to spend time with an R tutorial or two: a data frame (presumably the "table" data structure you describe) can *not* contain "blanks" -- all columns must be the same length, which means NA's are filled in as needed. Also, 8e^5 * 7e^4 = 5.6e^10, which almost certainly will not fit into any local version of R (maybe it would in some server version --

Dear List, I have been trying to extract associations from a matrix whereby individual locations are within a certain distance threshold from one another. I have been able to extract those individuals where there is 'no interaction' (i.e. where these individuals are not within a specified distance threshold from another individual) and give these individuals a unique Group ID containing

Hi All I have a datafram which looks like this : CustomerID DietType 1 a 1 c 1 b 2 f 2 a 3 j 4 c 4 c 4 f And I would like to reshape this so I can

...well, I don't think this is exactly the expected result (see my post) to be noted that the columns affected should be "A" and "B" thanks for the help max ----- Messaggio originale ----- Da: "Rui Barradas" <ruipbarradas at sapo.pt> A: "Massimo Bressan" <massimo.bressan at arpa.veneto.it>, "r-help" <r-help at

Hello, I'm trying to use the function svyglm in the library survey. I create a data survey object: data_svy<- svydesign(id=~PSU, strata=~sample_domain, weights=~sample_weight, data=data, nest=TRUE) and I try to use svyglm() with little success: R<-svyglm(data_svy[,4]~(data_svy[,iCol]==listModality[[iVar]] [iMod]),design=data_svy, family=binomial(link="logit") Error in

Hello, Try the following. icol <- which(grepl("flag", names(mydf))) mydf[icol] <- lapply(mydf[icol], function(x){ is.na(x) <- x == 0 x }) mydf # A A_flag B B_flag #1 8 10 5 12 #2 7 NA 6 9 #3 10 1 2 NA #4 1 NA 1 5 #5 5 2 0 NA Hope this helps, Rui Barradas On 11/22/2017 10:34 AM, Massimo Bressan

Given this data frame (a simplified, essential reproducible example) A<-c(8,7,10,1,5) A_flag<-c(10,0,1,0,2) B<-c(5,6,2,1,0) B_flag<-c(12,9,0,5,0) mydf<-data.frame(A, A_flag, B, B_flag) # this is my initial df mydf I want to get to this final situation i<-which(mydf$A_flag==0) mydf$A[i]<-NA ii<-which(mydf$B_flag==0) mydf$B[ii]<-NA

I am using 'read.csv' in V2.0.1 to read in a CSV file with the colClasses option and am getting an error from 'scan' when it encounters a non-numeric value for a 'numeric' column, i.e. > ds <- read.csv(in_file, nrows=irow, row.names=NULL, colClasses=zclass, comment.char="") Error in scan(file = file, what = what, sep = sep, quote =

Hi Allaisone, I took a slightly different approach but you might find this either as or more useful than your approach, or at least a start on the path to a solution you need. df1 <- data.frame(CustId=c(1,1,1,2,3,3,4,4,4),DietType=c("a","c","b","f","a","j","c","c","f"),

Specifying -no-implicit-float prevents LLVM from using non-GPR registers for purely integer operations. This is useful for operating systems (such as Wind River's VxWorks) that support tasks that do not save all registers on context switch. This presents an interesting problem for variadic functions that may optionally take non-integer arguments (e.g. printf style functions). Should non-GPR

I would like to add error bars to a bar chart, I have created in R. I am able to add error bars to a bar plot, but the same method does not seem to work for my bar chart version.   Is there a way to add error bars to bar charts? ________________________________________________________ Audi, Fiat, Peugeot, Skoda, Porsche, Toyota, Ford - Kelkoo har brugte biler til en hver smag! Klik her

Alex, I was getting the following crashes when editing cells in a grid: ./init.rb:1072:in `main_loop'': undefined method `begin_edit'' for "_p_wxEvent":String (NoMethodError) from ./init.rb:1072 but only after the first App GC mark phase. So I changed all the GridCell*Editor.i files from GC_MANAGE to GC_MANAGE_AS_EVENT. Which stopped the crashing. My question

Greetings, <p>my apologies for putting this trash in the mailing list but the topic about SSE run-time option interested me pretty much. Looks like some people is really experienced on the topic. I would really appreciate if somebody could point me to good resources about SSE and Altivec (not necessarly on the net, I'm ready to invest some money if necessary). I already have intel

Hi R-users, I'm attempting to fit a number of mixed models, all with the same structure, across a spatial grid with data points collected at various time points within each grid cell. I'm trying to use a 'for' loop to try the model fit on each grid cell. In some cells lme does not converge, giving me the error: Error message: In lme.formula(logarea ~ year + summ_d, data =

Hello, I have a matrix (class matrix) composed of GridCell (row and column). The matrix value is the beta diversity index value between two grids. Now I would like to get the average value of each GridCell. Please kindly advise how to make the calculation. Thank you. Elaine The matrix looks like (cited from Michael Friendly) I would like to get the average value of each color. Obs

Jean-Marc, There is a big difference between SSE and SSEFP. The SSEFP means that the CPU supports the xmm registers. All Intel chips with SSE support do, however no current 32 bit AMD chips support the XMM registers. They will support the SSE instructions but not those registers. You are right about the SSE2 not being used. The AMD Opterons are the first AMD CPU's which support

Nadav, The problem appears only for vectors longer than available hardware register (in doubleword elements, i.e. more than 4 on SSE4 and more than 8 on AVX). Select does weird thing. <8 x i1> mask comes as two XMM registers, select converts them to a single XMM registers (i.e. 8 x 16 bit), immediately after it converts back to two XMM registers and does blend. Conversion forth and back has