search for: companyid

...s for several variables and I would like to write a loop that does the table for each variable. I should also point out that my data set has several missing observations and sometimes the observations that are missing are not the same for all my variables. What I would like to do: table(StoreData$CompanyID, !is.na(StoreData$P2)) table(StoreData$CompanyID, !is.na(StoreData$P5)) If I run the above code, I get: > table(StoreData$CompanyID, + !is.na(StoreData$P2)) FALSE TRUE 2 940 0 3 0 323 4 288 0 5 306 0 > table(StoreData$CompanyID...

...iversity measures on a sample of firms for a period of about 10 years. I was wondering if you can give me some hints on how to best proceed on using the 'diverse' package. My sample has the following setup. It's comprised of a annual variable number of firms which are identified by the companyid variable and the year variable (unbalanced panel). In addition I also have a variable identifying the worker, workerid. I then have a set of variables which i want to use as the basis for calculating some of the measures in the 'diverse' package. An example of the sample is as follows, usin...

...he ''contact'' table. Iv''e used ''generate scaffold'' on these tables and everything is fine. I then decided to define the relationship in the relevant model classes... class Contact < ActiveRecord::Base belongs_to :company,:foreign_key => "companyid" end ---- class Company < ActiveRecord::Base has_many :contact end And then I''ve added the following line to views/company/show.rhtml to try and get at the child elements... <%= debug(@company.contact) %> I''ve tried loads of variations on this setup, but alwa...

Hi all, I have a huge dataset(5000k observations), which contains the daily sales for each company. If I want to find out the a company with unique company id number, which function I should use that is more efficient, match or "=="? For example, use<-dataset[!is.na(match(dataset$companyID, 12345)),] or use<-dataset[dataset$companyID==12345,] Thank you very much. -- View this message in context: http://n4.nabble.com/match-function-or-tp1754505p1754505.html Sent from the R help mailing list archive at Nabble.com.

...iversity measures on a sample of firms for a period of about 10 years. I was wondering if you can give me some hints on how to best proceed on using the 'diverse' package. My sample has the following setup. It's comprised of a annual variable number of firms which are identified by the companyid variable and the year variable (unbalanced panel). In addition I also have a variable identifying the worker, workerid. I then have a set of variables which i want to use as the basis for calculating some of the measures in the 'diverse' package. An example of the sample is as follows, usin...

..."Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"), exclude = c("ActualWeekEndingDate", "CompanyID", "PriceZoneID", "Date", "Year")), print=FALSE) meth <- ini$meth # naming the default method in inipred <- ini$pred # naming the matrix of default predictors in inipost <- ini$post # naming the default post processing method in inip...