search for: area1

Dear list, When I use VennDiagram package, I got a error as follow: venn.plot <- draw.pairwise.venn( area1 = 3186, area2 = 325, cross.area = 5880); Error in draw.pairwise.venn(area1 = 3186, area2 = 325, cross.area = 588) : Impossible: cross section area too large. Does anyone have suggestion? Thank you.

I'm reading Torgo (2010) *Data Mining with R*<http://www.liaad.up.pt/~ltorgo/DataMiningWithR/code.html>in preparation for a class I'll be teaching next quarter. Here's an example that is very non-functional. > pH <- c(4.5,7,7.3,8.2,6.3) > names(pH) <- c('area1','area2','mud','dam','middle') > pH area1 area2 mud dam middle 4.5 7.0 7.3 8.2 6.3 This sort of thing seems to be quite common in R. *-- Russ * [[alternative HTML version deleted]]

I used the supersmoother function in the modreg package as follows: super <- supsmu(ilogemp,award) Then I decided that I might want additional explanatory variables (other than ilogemp) in my model. The ppr function in modreg seemed a logical extension of supsmu from univariate to multidimensional explanatory variables. As a "check" I ran the following: pprest <-

Hi, I have a dataset with x and y coordinates and in each point I have an identity of point, in some cases I can have more then one identity by point. My dataset is something like this: > x <- rep(c(1:4),4) > y <- rep(c(1:4),c(4,4,4,4)) > area1 <- sample(factor(rep(c("a","b","c","d"),4))) > area2 <- as.factor(c(rep(c("a","b"),c(2,2)),rep(c("a","b"),c(2,2)),rep(c("c","d"),c(2,2)),rep(c("c","d"),c(2,2)))) to...

...;t use the right words. So here it is: I have a dataframe with the following structure factor1 factor2 value In the (rather large) dataset I have to work on, there are some factor combinations missing, e.g. factor1 <- c("2005", "2007", "2009) factor2 <- c("Area1", "Area2", "Area3") So in a perfect world there should be values for each combination in the dataset, eg values for "2005" in "Area1", "Area2" and "Area3", for "2007" and the three areas and so on. But in my dataset so...

...indicating a kernel panic. Steps to reproduce: Transfer files using rsync. Last specific command issued at prompt that reproduced this error was: "rsync --bwlimit=2048 -vv -r -e ssh --delete --exclude lost+found --password-file /root/scripts/pass.rsync rsync://root@white.alamon.com:873:/bu/area1/blue/* /bu/area1/blue " This error does not seem to occour when transferrring the same file set using cp over nfs or scp. However, this does happen using rsync over nfs.

...vfs object = /usr/lib/samba/vfs/audit.so [profiles] path = /home read only = No create mask = 0700 directory mask = 0700 browseable = No vfs object = /usr/lib/samba/vfs/audit.so [homes] comment = Home Directories read only = No browseable = No #vfs object = /usr/lib/samba/vfs/audit.so [area1] comment = Area di lavoro n 1 path = /mnt/area1 read only = No vfs object = /usr/lib/samba/vfs/audit.so [test] path = /tmp printable = Yes vfs object = /usr/lib/samba/vfs/audit.so

...(con, "select area from region_areas \ where region like \"Arctic Ocean\"" )$area; mynn <- dbGetQuery(con, paste("select year(date) as year,", "avg(area1)/",regionarea,"*100 as area1,", "avg(area2)/",regionarea,"*100 as area2", "from ArcticOcean_MYNN", "where month(date)<=3 and empty<465", &...

Hi, I'm currently trying desperately to get the nnet function for training a neural network (with one hidden layer) to perform a regression task. So I run it like the following: trainednet <- nnet(x=traindata, y=trainresponse, size = 30, linout = TRUE, maxit=1000) (where x is a matrix and y a numerical vector consisting of the target values for one variable) To see whether the network

I want to create a neural network, and then everytime it receives new data, instead of creating a new nnet, i want to use a backpropagation algorithm to adjust the weights in the already created nn. I'm using nnet package, I know that nn$wts gives the weights, but I cant find out which weights belong to which conections so I could implement the backpropagation algorithm myself. But if anyone

My data frame looks like: SightingID PA1 PA2 PlotID InOverlap Area1 2001 1 -99 392 Y 0.22 2002 1 -99 388 Y 0.253 2008 1 NA 104 N 0.344 2010 1 NA 71 N 0.185 2012 1 NA 61 N 0.166 2013 1 NA 61 N 0.22...

...le(0:1, 1000, replace=T) zvar <- rnorm(100) lvar <- sample(0:1, 1000, replace=T) Fulldf <- as.data.frame(cbind(xvar,yvar,zvar,lvar)) Fulldf$xvar <- factor(xvar, labels=c("blue","green","red","yellow")) Fulldf$yvar <- factor(yvar, labels=c("area1","area2")) Fulldf$lvar <- factor(lvar, labels=c("yes","no")) and here's the function in the form that it currently works: from a subset of the dataframe Fulldf, a contingency table is created (in my actual data, several other operations are then performed...

...e one under the black curve, but I'm geting the opposite result using area(). This is what I'm doing: require(MASS) f1 <- approxfun(x,y1) f2 <- approxfun(x,y2) plot(x,y1,ylim=range(c(y1,y2))) lines(x,f1(x),col="black") points(x,y2) lines(x,f2(x),col="red") area1 <- area(f1,min(x),max(x)) area2 <- area(f2,min(x),max(x)) text(4.5,1.6,paste("f2:",round(area2,3)),col="red") text(5.5,0.1,paste("f1:",round(area1,3)),col="black") title(main="Areas under curves") grid(50,50) What am I doing wrong? Could...

...+ cmp ax,3c00h + jb mem_below_16mb + shl ebx,6 + add eax,ebx + +mem_below_16mb: + shl eax,10 + mov [gfx_bios_mem_size],eax + shr eax,20 + cmp ax,16 + jb skip_extended + + mov word [gfx_xmem_0],81h ; 1MB at 8MB + mov word [gfx_xmem_1],0a1h ; 1MB at 10MB + mov dword [gfx_save_area1],7f0000h ; 8MB-64k + +skip_extended: + movzx ebx,word [gfx_mem_start_seg] + shl ebx,4 + + movzx ecx,word [gfx_mem_end_seg] + shl ecx,4 + + mov dword [gfx_mem],ebx + mov dword [gfx_mem0_start],ebx + mov dword [gfx_mem0_end],ecx + + call gfx_read_file + jc gfx_init_end + + call gfx_get...

...msg_memory + int 22h + stc + ret + +got_e801: + cmp ax,3c00h + jb mem_below_16mb + shl ebx,6 + add eax,ebx + +mem_below_16mb: + shl eax,10 + mov [gfx_bios_mem_size],eax + shr eax,20 + cmp ax,16 + jb skip_extended + + mov word [gfx_xmem_0],88h ; 8MB at 8MB + mov dword [gfx_save_area1],7f0000h ; 8MB-64k + +skip_extended: + movzx ebx,word [gfx_mem_start_seg] + shl ebx,4 + + movzx ecx,word [gfx_mem_end_seg] + shl ecx,4 + + mov dword [gfx_mem],ebx + mov dword [gfx_mem0_start],ebx + mov dword [gfx_mem0_end],ecx + + call gfx_read_file + jc gfx_init_end + + call gfx_get...