rs3 | Google Reader , currently under active development

I am trying hard to connect to my MongoDB Replica Set but nothing seems to work.

I have deployed Replica set with 3 node, each on a separate AWS Availability Zone but in the same Region.

Below is the code I am using to connect to Replica Set.

At the moment, the code below is not very reproducible as I am adding the suffix based on column numbers. How would I modify this code to add the suffix to all columns beginning with "rs" instead of using column numbers?

I'm trying to run a 6 node Apache Artemis static cluster as 3 live-backup pairs. In order not to lose data during full cluster restart I've also created a mechanism figuring out which of the pair has newer data, and based on that the server automatically decides whether it's safe to start that particular node. During full cluster restart the servers are started simultaneously, and nodes with newer data start before nodes that were lately acting as backups.

This scenario has been working flawlessly with single live-backup pair.

Shutdown:

1. Master node is live, slave node is backup
2. Master node => slave node goes live
3. Slave node

Start:

1. Both nodes are dead
2. Slave node => goes live
3. Master node => goes live, slave node goes backup

However in the 6 node cluster the backup node does not go live at all:

1. 3 live nodes, 3 backup nodes; pairs bound together in separate groups (rs1, rs2, rs3)
2. Stop rs1 master node => rs1 slave node goes live
3. Stop rs1 slave node
4. Start rs1 slave node => never goes live
5. Must not start rs1 master node because of potential data loss

Any idea what's wrong with my setup?

Master HA configuration (the group name varies):

Can anyone help me understand the error? My query:

I have a dataframe A like this one:

I am trying to loop trough a data base and get the correct data to each user. But I have multiple phone and mails per user. When I try to loop, I can only get one (correct data/user) number for each user, When I try to subloop, I only get the two first numbers from the database. So the first user have correct phone and mail data the rest of users have phone and mail data from first user. I have no idea what to do from here ☹.

I want to add a new column containing only '2' as a value in each row at the end of the a .txt file and save new file as output. I saved my input.txt file from R as a tab separated file. I have tried the following code;

awk -v RS='\r\n' 'BEGIN {OFS = '\t'} {print $0, "2"}' input.txt > output.txt

but it adds 2 as an additional value to the last column and also adds a blank row after every data row in the output.txt file

my input.txt

I want to run a regression for a case-control outcome/disease (0,1 format for controls and cases) for a list of 30 SNPs (single nucleotide polymorphisms in 0, 1, 2 format for genotypes). I know how to do it for one SNP using following in R;

test = glm(casecontrol ~ rs12345, data=mydata, family=binomial)

Question: How do I run a model to get a summary statistics for an association of 30 SNPs with the disease in one go in R? Something like we get from GWAS, beta estimates, p values, SD, allele frequencies? Any package in R that I can use?

EDIT:

I want to do logistic regressions for several (n = 30) SNPs (coded as 0,1,2) as predictors and a casecontrol variable (0,1) as an outcome. As few of those rs are correlated, I cannot put all rs# in one model but have to run one at a time regression for each i.e., I cannot simply plus them together in one model like rs1 + rs2 + rs3 and so on....I need to have each regressed separately like below;

test1 = glm(casecontrol ~ rs1, data = mydata, family=binomial)

test2 = glm(casecontrol ~ rs2, data = mydata, family=binomial)

test3 = glm(casecontrol ~ rs3, data = mydata, family=binomial)

While I can run all the above regressions separately, is there a way to loop them together so I could get a summary() of all tests in one go?

I will have to adjust for age and sex too, but that would come after I run an unadjusted loop.

My data head from dput(head(mydata)) for example;