similar to: sqldf and not converting integers to floating point in SQLite

Dear R helpers I have a table and i need to make new table table1: sire snp1 snp2 snp3 snp4 snp5 snp6 snp7 snp8 snp9 snp10 snp11 snp12 snp13 snp14 snp15 8877 -1 -1 -1 -1 0 0 -1 -1 -1 0 1 1 1 -1 -1 7765 1 1 1 0 0 0 -1 1 1 1 0 0 0 1 0 8766 1 1 -1 0 -1 -1 0 -1 0 -1 -1 -1 0 1 0 6756 0 1 0 -1 1 -1 -1 0 0 0 0 -1 0 1 1 5644 -1 0 1 -1 0 0 0 0 -1 -1 0 0 0 0 1 I have table2 sire

Dne 4.2.2016 v 12:17 A J Stiles napsal(a): > On Thursday 04 Feb 2016, Marek ?ervenka wrote: >> hi, >> >> is there way to get SQL schema for Asterisk 13.7.0 without alembic? >> thanks > Assuming you already have Asterisk up and running, you can just use > > $ mysqldump -d -uroot DATABASE TABLE1 TABLE2 TABLE3 ... > > will print (on STDOUT, so you can just

Hi, I am learning Radrails and want to tie the web project all together by displaying 3 tables linked together. I want to select one item from the main table, and then link to the other two tables. they will be linked by the key of the first table. It seems that I should create a rhtml in a main table or should I just copy the list.rhtml created by the generator scaffold? I might not make any

hi, is there way to get SQL schema for Asterisk 13.7.0 without alembic? thanks -- --------------------------------------- Marek Cervenka =======================================

I was hoping someone would be able to help me with creating a method. I have two tables. What I am trying to do is create a list of all the id''s from table2 that aren''t currently referenced by Table1''s address_id column. That way, when I create a new customer I can have a drop down list in the view of all the addresses that are not currently being used. ##### Database

Hi, May be this helps: dat1<- as.data.frame(table1) ?dat2<- as.data.frame(table2) names(dat2)<-c("V3","V4") library(plyr) res<-join(dat1,dat2,type="full") ?res[is.na(res)]<- 0 ?res #? V1 V2 V3 V4 #1? 1? 1? 0? 0 #2? 1? 2? 0? 0 #3? 0? 0? 0? 1 #4? 0? 0? 0? 4 ?combinedtable<-as.matrix(res) ?colnames(combinedtable)<- NULL ?combinedtable #???? [,1] [,2]

I would like to create a model that is based on two database tables: Table1 --------- id (PK) data1 Table2 ---------- id (PK) data2 There is a one-to-one relationship between the records of Table1 and Table2. (That is, for every record in Table1 there is a record with matching id in Table2 and vice versa). The problem is that I cannot alter the table schemas in any way, so I cannot add

Dear all, I am still fairly new to R and try to analyze large tables of data generated from genomic experiment. Currently, I am trying to plot pair of experiments coming from different file, trying to look at the behavior of individual feature in pair of experiment. My problem is that I have independent list from different source and I would like to plot the pair of value using a common key. As

Hi, I have a few methodological and implementation questions for ya'll. Thank you in advance for your help. I have a dataset that reflects people's preference choices. I want to see if there's any kind of clustering effect among certain preference choices (e.g. do people who pick choice A also pick choice D). I have a data set that has one record per user ID, per preference choice.

https://bugzilla.netfilter.org/bugzilla/show_bug.cgi?id=452 Summary: DNAT to internal network don't work with source routing and 2 uplinks Product: netfilter/iptables Version: linux-2.6.x Platform: i386 OS/Version: Debian GNU/Linux Status: NEW Severity: normal Priority: P2

Dear R-List, I use Sweave (which is wonderful) and I have a problem with the strings when they are too long according to the width of the page. For example when I do in my .Rnw document : <<UsingRODBC,echo=TRUE>>= channel <- odbcConnect(dsn="database",uid="root",pwd="password") df1 <- sqlFetch(channel,"table1",rownames=TRUE) df2

Stephen, This REALLY needs to be fixed in the code; tc should reject as a syntax error any "add filter" command that does not include a "prio" parameter. It also needs to be documented. === From LARTC mailing list === > Dear list, > After much code crunching and beating my head against the wall > (literally), I discovered the faulty code. Thanks mostly to

Dear list, I'm looking for an inverse function of melt(which is in package reshape).Namely, I had a data frame like this (Table1) YEAR VAR1 VAR2 VAR3 1995 7 3 45 1996 5 6 32 1997 6 10 15 I transformed my data by using the melt function and my data was reshaped in the following format: (Table2) YEAR variable

Hi R user,I am struggling to figure out on how I can calculate the average from the two tables in R. Any one can help me? really your help would be grateful- I am spending so much time to figure it out. It should not be so hard, I think. I have very big data but I have created a hypothetical data for simplification. for example I have : table 1 table 1: species occurance data

Hi R-users, I'm trying to retrieve data from MS SQL database with RODBC's sqlQuery-function: temp <- sqlQuery(channel,"select *, (select text from table1 where koodi='paa' and koodi2=paa) as tempor from table2") str(temp) … $ var0 : num NA NA 1.6 NA NA 1.4 NA 1 NA NA ... $ var1 : Factor w/ 45 levels "

I have two one dimensional list of elements and want to perform cbind and then write into a file. The number of entries are more than a million in both lists. R is taking a lot of time performing this operation. Is there any alternate way to perform cbind? x = table1[1:1000000,1] y = table2[1:1000000,5] z = cbind(x,y) //hanging the machine write.table(z,'out.txt) -- -------------

How for the love of god can I prevent the lm() function from padding on to my factor variables? I start out with 2 tables: Table1 123123 124351 ... 626773 Table2 Count,IS_DEAD,IS_BURNING 1231,T,F 4521,F,T ... 3321,T,T Everything looks fine when I import the data. then we get a oh_crap <- lm(table1 ~ Count + IS_DEAD + IS_BURNING, table2) Magically when I look at my oh_crap coefficents

Hi ihave one table that look like SNP1 SNP2 SNP3 SNP4 SNP5 SIRE1 1 -1 -1 1 -1 SIRE2 1 -1 1 1 1 SIRE3 -1 -1 1 1 0 SIRE4 -1 1 1 0 1 SIRE5 -1 1 -1 -1 1 SIRE6 0 0 0 1 -1 SIRE7 -1 0 -1 1 1 SIRE8 1 -1 NA 0 NA SIRE9 -1 1 1 -1 -1 SIRE10 1 1 1 1 1 table 2 only one line SNP1 SNP2 SNP3 SNP4 SNP5 SIRE100 -1 -1 1 1 -1 I need to male

I''d like to create scaffolds for each of the tables in my database, but would like to access them below the path: localhost:3000/admin For example localhost:3000/admin/table1 localhost:3000/admin/table2 Where table1 and table2 would be the controller names respectively, calling their own list.rhtml, show.rhtml, edit.rhtml, etc.. Any recommendations on how/where to

I''ve tried tackling this many ways on my own and can''t find a good solution: Breaking it down to something simplier... Venue has one address Person has one address Address belongs to state Assuming I don''t want to do tables for venue_addresses and person_addresses. What is the best way to model this using rails... big thing here is i want to be able to reuse a