similar to: prediction in "conmode" class of Nonparametric binary models

Dear R Users, I am a novice learner of R software. I am working with Genetic Matching - GenMatch(), but I am getting an Error message as follows:  Error in GenMatch(Tr = Tr, X = X.binarynp, BalanceMatrix = BalanceMatrix.binarynp,  :    GenMatch(): input includes NAs Could you please suggest me correcting the above problem? My GenMatch command is, > gen1 <- GenMatch(Tr = Tr, X =

Dear R-Users, I have a problem on extracting T-Stat and P-Value. I have written R-code below library("Matching") data("lalonde") attach(lalonde) names(lalonde) Y <- lalonde$re78 Tr <- lalonde$treat glm1 <- glm(Tr~age+educ+black+hisp+married+nodegr+re74+re75,family=binomial,data=lalonde) pscore.predicted <- predict(glm1) rr1 <-

Dear R Users, I am a novice learner of R software. I am working with Genetic Matching - GenMatch(), but I am getting an Error message as follows:  Error in GenMatch(Tr = Tr, X = X.binarynp, BalanceMatrix = BalanceMatrix.binarynp,  :    GenMatch(): input includes NAs Could you please suggest me correcting the above problem? My GenMatch command is, > gen1 <- GenMatch(Tr = Tr, X =

Dear R-users, I have a dataset as like below, and I want to subtotal the values of rice,wheat and maize by year for each fid. fid      year     rice     wheat      maize ------------------------------------------------ 1        1995      5        NA           NA 1        1995      NA        3           NA 1        1995      NA       NA           2 1        1996      4        NA           NA 1  

Hi Kotresh, I am expecting my hardware to show up next week. My plan is to run gluster version 3.12 on centos 7. Has the issue been fixed in version 3.12? Thanks a lot for your help! /Marcus On Fri, Mar 02, 2018 at 05:12:13PM +0530, Kotresh Hiremath Ravishankar wrote: > Hi Marcus, > > There are no issues with geo-rep and disperse volumes. It works with > disperse volume > being

Hello R-users,   The below is a snippet of my data:   fid crop year value 5_1_1 SWHE 1995 171 5_1_1 SWHE 1997 696 5_1_1 BARL 1996 114 5_1_1 BARL 1997 344 5_2_2 SWHE 1995 120 5_2_2 SWHE 1996 511 5_2_2 BARL 1996 239 5_2_2 BARL 1997 349   Here, I want to create dummy variables with the names of the content of a column 'crop' in a way

Hi again, I have been testing and reading up on other solutions and just wanted to check if my ideas are ok. I have been looking at dispersed volumes and wonder if there are any problems running replicated-distributed cluster on the master node and a dispersed-distributed cluster on the slave side of a geo-replication. Second thought, running disperesed on both sides, is that a problem (Master:

Hi again, I made some more tests and the behavior I get is that if any of the slaves are down the geo-replication stops working. It this the way distributed volumes work, if one server goes down the entire system stops to work? The servers that are online do not continue to work? Sorry, for asking stupid questions. Best regards Marcus On Tue, Feb 06, 2018 at 12:09:40PM +0100, Marcus Peders?n

Thank you for your help! Just to make things clear to me (and get a better understanding of gluster): So, if I make the slave cluster just distributed and node 1 goes down, data (say file.txt) that belongs to node 1 will not be synced. When node 1 comes back up does the master not realize that file.txt has not been synced and makes sure that it is synced when it has contact with node 1 again? So

On 09/22/2017 02:25 AM, Kotresh Hiremath Ravishankar wrote: > The volume layout of geo-replication slave volume could be different > from master volume. > It's not mandatory that if the master volume is arbiter type, the > slave also needs to be arbiter. > But if it's decided to use the arbiter both at master and slave, then > the expansion rules is > applicable

Thanks a lot to Demitris for a prompt answer some minutes ago on another tread (see below). To avoid excess mails on the list, I move onto next question: I have another small plotting problem that confuses me. I want to plot results from a field trial series, using the numbers of the trials as symbols in the plot. pch = as.character(trial_no) works fine, but truncates the trial number to the

Hi all, I have setup a dispersed cluster (2+1), version 3.12. The way our users run I guessed that we would get the penalties with dispersed cluster and I was right.... A calculation that usually takes about 48 hours (on a replicaited cluster), now took about 60 hours. There is alot of "small" reads/writes going on in these programs. Is there a way to tune, optimize a dispersed cluster

Hi all, I have setup a dispersed cluster (2+1), verision 3.12. I guessed that we going to get punished by small read/writes... and I was right. A calculation that usually takes 48 hours took about 60 hours and there are many small read/writes to intermediate files that at the end get summed up. Is there a way to tune, optimize a dispersed cluster to work better with small read/writes? Many

We are happy to help you out. Please find the answers inline. On Tue, Feb 6, 2018 at 4:39 PM, Marcus Peders?n <marcus.pedersen at slu.se> wrote: > Hi all, > > I am planning my new gluster system and tested things out in > a bunch of virtual machines. > I need a bit of help to understand how geo-replication behaves. > > I have a master gluster cluster replica 2 > (in

I've been testing test69 with pop3 (under Linux and with mbox). I began testing with a large inbox (11000 mails) and it seems the communication between dovecot and the mailclient (evolution) stalls after 1000-2000 messages transferred. I've looked in to the (non-trivial) io functionality of dovecot. What I see is that io_loop_handler_run() in ioloop-poll.c does not signal any more data

Dear all, W.XP I recently upgraded to R2.10.0 and did what I usually do: copied all "special" libraries from the old installation and then used "update.packages()" on the command line. Nothing happened. Then I clicked on the same command on the droplist which generated "update.packages(ask='graphics')", but still with no effect. When I tried to load the

Hello all, I posted a similar question recently but I suspect that it was not well enough formulated to trigger any answers. So I try again: Is there a way to produce boxplots (or something similar) that uses the estimated fixed effects of an lme{nlme} object? When I want to know the mean, I use estimable{gmodels} together with an appropriate matrix. I did look for a similar tool to estimable in

Dear all, W2k, R 2.5.1 I am trying out the AMMI function in the agricolae package, to analyse the dependence of environment for a certain cultivar. The function responds to four basic variables: ENV Environment GEN Genotype REP Replication Y Response My question concerns the 'REP' term. When I normally do an analysis of variance, the replication would refer to repeated observations

Hi Xavi, Copy the same info file worked well and the gluster 11 arbiter is now up and running and all the nodes are communication the way they should. Just another note on something I discovered on my virt machines. All the three nodes has been upgarded to 11.0 and are working. If I run: gluster volume get all cluster.op-version I get: Option Value ------

Dear all, Does anyone know of a function that calculates the area of the outer polygon constructed from a data frame with co-ordinates? For example, library(splancs) test = rbind(c(0,0), c(10,0),c(10,10),c(0,20)) plot(test) areapl(test) [1] 150 This is OK, but I want the same area to be returned (150) when adding yet another co-ordinate in the middle of the polygon: test = rbind(c(0,0),