similar to: Error: missing values where TRUE/FALSE needed

I have a repetative task in R and i'm trying to find a more efficient way to perform the following task. lst <- list(roots = c("car insurance", "auto insurance"), roots2 = c("insurance"), prefix = c("cheap", "budget"), prefix2 = c("low cost"), suffix = c("quote", "quotes"),

I have a really long functions, and at the end of the function, I am using a if statement to tag certain keywords based on whether they have certain values contained in them. However, the if statement doesn't seem to work. When I had split up the commands into various functions, it worked fine, but I'm not sure what going on now that it's combined into a single function. myfunc

I'm trying to run a function inside a function but get an error message. lst <- list(roots = c("car insurance", "auto insurance"), roots2 = c("insurance"), prefix = c("cheap", "budget"), prefix2 = c("low cost"), suffix = c("quote", "quotes"), suffix2 = c("rate", "rates"), suffix3 =

I have the following data: prefix <- c("cheap", "budget") roots <- c("car insurance", "auto insurance") suffix <- c("quote", "quotes") prefix2 <- c("cheap", "budget") roots2 <- c("car insurance", "auto insurance") roots3 <- c("car insurance", "auto

I'm working with some data, and am trying to generate it in the following format. state city zipcode I like pizza 0 0 0 I live in Denver 0 1 0 All the fun stuff is in Alaska 1 0 0 he lives in 66062

Let's say that I'm trying to write a functions that will allow me to automate a process where I examine all possible combinations of various string groupings. Each time I run the one function, I want to include the new values to the end of a data frame. The data frame will basically be one column with a lot of rows. roots <- c("car insurance", "auto insurance")

Hi, I running samba-3.0.13-1 on RH9 (openldap-2.0.27-8,krb5-1.2.7-10,nss_ldap-202-5) and configured as show below, my intention is only to make IDMAP storage in LDAP using winbind. I've looked on SAMBA3 by example book and relatives official guide on the site. First I have try to run samba and winbind retriving users and groups from ADS and storing them in winbindd_idmap.tdb and

Hi, I running samba-3.0.13-1 on RH9 (openldap-2.0.27-8,krb5-1.2.7-10,nss_ldap-202-5) and configured as show below, my intention is only to make IDMAP storage in LDAP using winbind. I've looked on SAMBA3 by example book and relatives official guide on the site. First I have try to run samba and winbind retriving users and groups from ADS and storing them in winbindd_idmap.tdb and

I am trying to sync my mail on two different servers as testing for converting our business over to a server using dovecot. I am currently running dovecot version 2.0.11 While trying to sync the messages using Thunderbird and a program named imapsync, I run into an error stating that the dovecot server does not know how to handle messages with the FORWARD flag set. Is the FORWARD flag

Hi people, I recently tried to migrate from Exchange using imapsync. It didn't work because it complained that dovecot had no namespace capablity. After looking through Dovecot's config files I found that namespaces could be defined, but if you did not a 'private' default one was created. In the 2.x wiki documentation (http://wiki2.dovecot.org/Migration) it says nothing about

Hello. I fixed the bug reported in the previous post on this thread (<<llvm::MemSDNode::MemSDNode(unsigned int, unsigned int, const llvm::DebugLoc&, llvm::SDVTList, llvm::EVT, llvm::MachineMemOperand*): Assertion `memvt.getStoreSize() <= MMO->getSize() && "Size mismatch!"' failed.>>) The problem with this strange error reported comes from

*Bottom Line: How can I compare the individual components of two data frames with different row lengths without the levels interfering?* Example: I have two data frames to those respectively named 'dfCity' and 'dfState' that have the following output: dfCity Name City 1 Bill Detroit 2 Jody Chicago 3 Frank Memphis 4 Ron Houston

We are pleased to announce version 0.8 of the acs package for R, now available on CRAN (<http://cran.r-project.org/web/packages/acs/index.html>. The package provides a general toolkit for managing, analyzing, and presenting data from the U.S. Census American Community Survey (ACS). Confidence intervals provided with the data are converted to standard errors and bundled with estimates in

We are pleased to announce version 0.8 of the acs package for R, now available on CRAN (<http://cran.r-project.org/web/packages/acs/index.html>. The package provides a general toolkit for managing, analyzing, and presenting data from the U.S. Census American Community Survey (ACS). Confidence intervals provided with the data are converted to standard errors and bundled with estimates in

We are pleased to announce the release of version 2.1.0 of the "acs" package, now available on CRAN <http://cran.r-project.org/web/packages/acs/index.html>. The package allows users to download, manipulate, analyze, and present demographic data from the U.S. Census, with special tools and methods to simplify the tasks of working with estimates and standard errors contained in data