similar to: comparition of occurrence of multiple variables between two dataframes

Do you have a simplified example with a code? It is not clear to me what do you mean by tree but if you refer to tree data structure, maybe you could change the data structure to tree (https://cran.r-project.org/web/packages/data.tree/vignettes/data.tree.html) and try to write comparison of two tree objects. It might be easier that data.frame alone. On 12 September 2017 at 12:27, C?line L?scher

Yes of course, I can share this short view of the datas. Here is the head() of data100, containing all the trees with a final value higher than 100?: CV11 CV12 CV13 CV14 CV15 CV21 CV22 CV23 CV24 CV25 CV26 CV31 CV32 CV33 CV41 CV42 CV43 CV44 CV51 CV52 IN11 IN12 IN13 1291 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1083 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3919 0 0 0 0 0 0 0 0 0 0 0 2 0

Hi C?line, Looks like you are looking for a statistical test between two sets of distributions, such as KS test, for example, generate histogram for each row in an identical way and run KS test. But if you are after simple difference you may use compare package ( https://cran.r-project.org/web/packages/compare/index.html). Best, -m PS: Data is already plural :) datas does not exist. On 12

Dear friends, I have a basic question with R. I'm generating a set of random variables and then combining them using the cbind statement. The code for that is given below. for (i in 1:100) { y <- rpois(i,lambda=10) X0 <- seq(1,1,length=i) X1 <- rnorm(i,mean=5,sd=10) X2 <- rnorm(i,mean=17,sd=12) X3 <- rnorm(i,mean=3, sd=24) ind <- rep(1:5,20) }

The code given below worked well. However, the problem is that when I typed dir1 to see the results I found that R order the files as: [1] "data1.flt" "data10.flt" "data100.flt" "data101.flt" [5] "data102.flt" "data103.flt" "data104.flt" "data105.flt" [9] "data106.flt" "data107.flt"

Dear R-user I have 100 lists. Each list has several components. For example, >data1 $a [1] 1 2 $b [1] 3 4 $c [1] 5 There are data1, data2,...., data100. All lists have the same number and the same name of components. Is there any function I can use for applying to only a specific component across 100 lists? (e.g., taking mean of $c acorss 100 lists) or do I need to write my own

Hi, I am using kmeans to cluster a dataset. I test this example: > data<-matrix(scan("data100.txt"),100,37,byrow=T) (my dataset is 100 rows and 37 columns--clustering rows) > c1<-kmeans(data,3,20) > c1 $cluster [1] 1 1 1 1 1 1 1 3 3 3 1 3 1 3 3 1 1 1 1 3 1 3 3 1 1 1 3 3 1 1 3 1 1 1 1 3 3 [38] 3 1 1 1 3 1 1 1 1 3 3 3 1 1 1 1 1 1 3 1 3 1 1 3 1 1 1 1 3 1 1 1 1 1 1 3

Hi Jim, Thank you very much for the answer?! The result is really better with this?? Here is the code?: > kk<- function(x.Koordinate, y.Koordinate, data=data) + { + coordx<-data$x.Koordinate[data$G==24] + coordy<-data$y.Koordinate[data$G==24] + x <- ifelse(data$x.Koordinate>coordx-51 & data$G>15,data$x.Koordinate," ") +

Hi guys, we have a rebalance running on eight bricks since July and this is what the status looks like right now: ===Tue Oct 18 13:45:01 CST 2011 ==== rebalance step 1: layout fix in progress: fixed layout 223623 There are roughly 8T photos in the storage,so how long should this rebalance take? What does the number (in this case) 22362 represent? Our gluster infomation: Repository

Hi Celine, what about removing the unwanted after you made the x and y x<-x[x>0] # or x<-x[x>0&&y>0], ditto for y, x[x!=""] in your ifelse (... ,"") case if x and y will not have the same length afterwards you need to make that list thingy. cheers Peter On 23. Jun 2017, at 07:30, C?line L?scher <c-luescher at hispeed.ch<mailto:c-luescher at

On 7 June 2013 17:52, Dallman, John <john.dallman at siemens.com> wrote: > Is it possible for the debug information to mark all the instructions that arise > from a > language statement as coming from that statement, even though the instructions may > be widely scattered? Yes. > Instructions whose effects > are used in the logic from more than one statement would have to

I'm trying to manually garbage data on bricks (when the volume is stopped) and then check whether healing is possible. For example: Start: # glusterd --debug Bricks (on EXT4 mounted with 'rw,realtime'): # mkdir /root/data0 # mkdir /root/data1 # mkdir /root/data2 Volume: # gluster volume create gv0 replica 3 [local-ip]:/root/data0 [local-ip]:/root/data1 [local-ip]:/root/data2

Hello, I would like to use the parfm package: https://cran.r-project.org/web/packages/parfm/parfm.pdfhttps://cran.r-project.org/web/packages/parfm/parfm.pdf in my work. This package fits parametric frailty models to survival data. To ensure I was using it properly, I started by running some small simulations to generate some survival data (without any random effects), and analyse the data using

Is there a way for a domU to discover size changes of block devices modified by dom0? To make it clear - if I do in dom0 a lvresize of a logical volume given as physical disk to a domU, is there a way to use the new size of this device within the domU without reboot? Thanks Ralf _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com

I'm running a samba pdc on my gentoo box in a mixed environment with a couple of Windows XP clients and only a few MacOSX clients. The users told me, the file locking across the platforms does not work properly sometimes. I tried to google my problem, but without luck. I switched all the flags related the lock mechanism of samba on and off, but the problem seems to be solved yet. The only

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, I''m using Centos 5.0. When i try to setup a domU with virt-install it all goes well till the partition menu. The anaconda setup can not find any drives. . The virt-install call looks like this: virt-install -n opfer1 -r 400 -f /mnt/data0/domus/opfer1/opfer1 -s 3 - --nographics -p -l

Hi, I have the following test case: define void @foo(<2 x float>* noalias nocapture %out, <2 x float>* noalias nocapture %data0) nounwind { entry: %val1 = load <2 x float>* %data0, align 8 store <2 x float> %val1, <2 x float>* %out, align 8 fence acq_rel %val2 = load <2 x float>* %data0, align 8 store <2 x float> %val2, <2 x float>*

I am new to the R language. I am trying to plot multiple figures on one page through a loop, but the code just produce one graph on one page. Can someone show some light on what's wrong? Here is my code: library("quantreg") tcdata<-read.table("mydata.txt",header=TRUE) postscript("myfigure.ps") basins<-

Hi everyone, My database has 3 columns?: the x coordinates, the y coordinates and the value of G for every individual (20 in total). I would like to have the x,y coordinates of individuals, Under these conditions?: the distance to the reference coordinates must be under or equal to 50 meters + the value of G must be bigger or equal to 16. Here?s what I?ve done first?: > kk<- function(x, y)

Hi Celine, Perhaps if you modify your return value like this: xy<-as.data.frame(list(x,y)) names(xy)<-c("x","y") return(xy) Jim On Thu, Jun 22, 2017 at 6:48 PM, C?line L?scher <c-luescher at hispeed.ch> wrote: > Hi everyone, > My database has 3 columns : the x coordinates, the y coordinates and the value of G for every individual (20 in total). I would like