similar to: Please document this

Hi, I have following 2 tables: Table 1: POSTAL | VALUE 1000|49 1010|100 1020|50 Table 2: INSEE | POSTAL A|1000 B|1000 C|1010 D|1020 I would like to convert this to the following: INSEE | VALUE_SPREAD A|24.5 B|24.5 C|100 D|50 I can achieve this with a nested SQL query (through counting the number of POSTAL that belong to any given INSEE, and diving the value of the postal in that INSEE by

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

Hey all, I had asked a question a little while ago about CPU usage being outrageous while using tc and a cbq qdisc. Ed was very kind and offered a few suggestions. One of these was to look at hashing. So after pounding away at it for about a week, I have a general understanding of how it works and have tried to implement it. Unfortunately, and quite obviously since I''m posting here, it

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

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

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.

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

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-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 "

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

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 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) -- -------------

I've got two tables.... first one(table1): ID chrom start end Ex1 2 152 180 Ex2 10 2000 2220 Ex3 15 3000 4000 second one ( table2): chrom location name 2 160 Alv 2 190 GNN 2 100

Hey All, I have two tables.. One belongs to another. Why can''t I reference table1.table2.attribute? Specifically, using scaffolding: property.rb - has_one :PropertyType property_type.rb - has_many :Properties property_controller - def list @property_pages, @properties = paginate :properties, :per_page => 10 end list.html: 1. <% for property in @properties %> 2.

Dear list, I spent about two hours searching on the message archive, with no avail. I have a list of people that have to pass an on-line test, but only a fraction of them do it. Moreover, as they input their names, the resulting string do not always match the names I have in my database. I would like to do two things: 1. Match any strings that are 90% the same Example: name1 <- "Harry

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

Like with simple table editing, there are also typical ways of how a user usually interacts with one-to-many or many-to-many relations. For example, one would show the fields of one row of table1 in the screen and below a line-by-line view of all associated entries in table2. Then, one could press an "Edit" button and add or delete rows from table2 to this entry of table1,