similar to: Recategorizing Nominal variable

Hello, I have a bunch of street addresses that I want to obtain the census tract data for. Is there any way I can do this in R? Thank you, -- Michael Leitson Michael.Leitson at gmail.com

Does anyone know the appropriate R code to obtain census tracts (tract and block level) from addresses by using Zack Almquist's USCensus2000 package? Thank you, -- Michael Leitson Michael.Leitson at gmail.com

Is there an R equivalent to SAS's proc gremove? You would use this procedure to combine the units on an existing map, for example to build a map of Metropolitan Statistical Areas (MSAs) from the [US] counties dataset where the internal boundries surround the MSAs (which are groups of counties) rather than the individual counties. I can imagine the mechanism would be to find and erase the

I have a dataframe called cvar, with two variables (among many others) called MSA and ACTUP. Both are numeric. This was working fine. Then I found out that for two MSAs, ACTUP should be 1, not 0. so I tried cvar$ACTUP[cvar$MSA == 6840] <- 1 cvar$ACTUP[cvar$MSA == 5360] <- 1 but when I try table(cvar$MSA, cvar$ACTUP) the level of ACTUP for those two MSAs has not changed, and is still

Hi All, Is there a simple way to convert a string such as c("A", "B" ,"C", "D") to a string of c("Group1", "Group1", "Group2", "Group2"). Naturally I could use the factor function as below but I don't like seeing that warning message (and I don't want to turn off warning messages). Perhaps a function

Hi All, I'm trying to take a numerical vector and produce a new vector of the same length where each element in the first is placed into a category given by a 'breaks-like' vector. The values in the result should equal the lower bounds of each category as defined in the breaks vector. I suspect that a vectorized solution is pretty simple, but I can't seem to figure it

Hello I have a dataframe that looks like this MSA CITY HIVEST YEAR YR CAT 1 0200 Albuquerque 0.50 1996 1996 5 2 0520 Atlanta 13.00 1997 1997 5 3 0720 Baltimore 29.10 1994 1994 1 4 0720 Baltimore 13.00 1995 1995 5 5 0720 Baltimore 3.68

I use two seperate Postfix instances as MSAs (so that different policies are simpler to configure), and both of them require Dovecot SASL support. Since Postfix' smtpd is chrooted (at least in the Debian package), the client socket needs to be somewhere under the instance's queue_directory. This means I need two different auth client socket paths. When I simply specify two "client {

Greetings. Is there an approved way to aggregate LUNs when using OCFS2? I have several 1TB LUNs I'd like to make into a single filesystem. Would I use something like Linux software raid? Brett

Hi, I am running two node active/passive cluster on RHEL3U8-64 bit operating system for my oracle database,both the nodes are connected to HP MSA-500 storage(scsi not Fibre channel) . Below are my hardware and clumanager version details. It was running fine and stable for last two years but all of a sudden for the past one month i am getting below errors on syslog and cluster restarting

Hello, there is a way with a sieve rule to add a Date: header when it is missing? Adding one with the time of reception of the message or using the date from the the first Received: header would be good options. Unfortunately I'm receiving some useful automated messages that lack a Date header and this screws up the sorting in my imap clients. I have a script to fix those acting on the

Folks, I know it's a reasonably valuable thing to have the buildbot IRC bot publishing results, but the channel is kind of flooded with the messages, and the more bots we put up, the worse it will be. I think we still need the NOC warnings, but not over IRC. The Buildbot NOC page is horrible and useless, since it doesn't know the difference between "it's red and I know it"

I have a consulting client with data containing a mixture of continuous, nominal, and ordinal variables, who wishes to do some correlational analyses. Ignoring for the moment whether this is wise or useful, is there some way to calculate a matrix using, for example, polychoric correlations for pairs of nominal variables, or correlations based on normal scores for ordinal variables? [The PRELIS

Hi All, I am wondering if there is any literature or any prior implementations of cluster analysis for only nominal (categorical) variables for a large dataset, apprx 20,000 rows with 15 variables. I came across one or two such implementations, but they seem to assume certain data distributions. Thank you, Nagu

Hi, are there readily available R packages that are able to perform FA on ordinal and/or nominal data? If not, what other approaches and helpful packages would you suggest? BR, Jay

Hello, i just want to share a quick n dirty patch to support nominal power in APC ups's. I was not sure about the name of the nut key and put it to ups.power.nominal Tested on APC SMARTUPS RS 550. basos -------------- next part -------------- A non-text attachment was scrubbed... Name: nut-2.4.3-apcnompower.patch Type: text/x-patch Size: 892 bytes Desc: not available URL:

Hi All, I have a question regarding the nominal jitter buffer configuration: The call was setup as G.729A (annexb=no), ptime=20ms and nominal jitter buffer size = 50ms, and round trip delay is 200ms, the TDM side will experience intermittent one way voice during the call, but IP side can always heard the voice from TDM side. My question is, should this possible caused by the nominal jitter

I'm tentatively creating a Windows .dll file using the Vorbis tools demos as a base for it. I've taken oggenc and simply converted it into a .dll file, with some minor changes purely to pass parameters to it (the original uses the command line). I have it working as far as it goes, but there seems to be something going wrong deep inside that I don't understand. The line at fault

Hi, I am a new user of R. I have 2 series of nominal data (2 series of answers for the same question) and I want to calculate the correlation between these 2 series. I've tried to use the correlation function (corr, ...) but all are for numeric data... Does anyone know what function should I use for the nominal data? Thanks a lot, Bianca

Hi! I'm looking for a solution to analyse data, which consists of dichotomous responses (yes/no) for 2 multinomial ordinal variables. I was trying glm() and got hierarhical models treating all variables as nominal, but I can't figure out how to tell glm() to use a model for ordinal data like this: log(Mij) = intercept + X + Y + Z + beta*(x-x')*(y-y') where beta is a