similar to: Obtaining census tract data from addresses

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

Hello, I would like to take a data set of doctors, and recategorize them into numbers. For example, John Doe would be assigned as 1 Jane Doe would be assigned as 2 Does anyone know how to do this in R? It seems quite easy, yet I cannot find the code. Thank you, Michael Leitson Research Intern MSAS Candidate Michael.Leitson@wellstar.org

Hello All , I installed tinc for windows. But it doesn't seem to work. I want to connect two computers(for testing purposes) computer1(webdev) and computer2(gis) I have installed the tap-win32 on both of them. Both computers are windows XP. Also I don't have a router. Computer1:webdev ----------------------- C:\Program Files\tinc\vpn1\tinc.conf Name = webdev ConnectTo = office

Hello, I am new to usin R - which is a great tool - and would like to know if R has a seasonal adjustment program for time series and/if it incorporates the Census Bureau's ARIMA x-12 seasonal adjustment program in any way? Thanks so much! Tony [[alternative HTML version deleted]]

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

I've been given the job of extracting some data from the United States 2000 census (files at http://www2.census.gov/census_2000/datasets/Summary_File_2/Maryland/all_ Maryland.zip 52M). I'm only interested in Census Block Groups (CBGs) located within Baltimore City, Maryland. Additionally, I just have to extract certain data fields. I think I'll be using Summary File 2. This is my first

CRAN (and crantastic) updates this week New packages ------------ * Bergm (1.0) Alberto Caimo http://crantastic.org/packages/Bergm Functions implementing Bayesian estimation for exponential random graph models via exchange algorithm Updated packages ---------------- lmtest (0.9-26), logcondens (1.3.5), MTSKNN (0.0-4), pmml (1.2.21), r2lUniv (0.9.4), rattle (2.5.11), rgdal (0.6-23),

I'm in the process of converting some S3 methods to S4 methods. I have this function : setGeneric("enrichmentCalc", function(rs, organism, seqLen, ...){standardGeneric("enrichmentCalc")}) setMethod("enrichmentCalc", c("GenomeDataList", "BSgenome"), function(rs, organism, seqLen, ...) { ... ... ... })

I am using the code below to extract census tract information. save.tract$state, save.tract$county and save.tract$tract are returned as factors. In the last three statements, I need to save the actual value of the factor, but, instead, the code is yielding the position of the factor. How do I instead return the value of the factor? By way of example, for Lon=-82.49574 and Lat=29.71495, the code

I have a multilevel dataframe (df): ID Date Segment Slice Tract Lesion 1 CSPP005 12/4/2007 1 1 LCST 0 2 CSPP005 12/4/2007 1 1 LPC 2 3 CSPP005 12/4/2007 1 1 RPC 3 4 CSPP005 12/4/2007 1 1 RCST 1 5 CSPP005 12/4/2007 1 1 LGM 0 6 CSPP005 12/4/2007 1 1

I'm trying to generate 50+ graphs using the UScensus2000tract data. I need to access the data for just about all of the states, so I was hoping to create a simple loop that will take the relevant state from my data and load the associated census data from the UScensus2000tract package. Below is a sample of what I'm trying to do. Any suggestions are much appreciated.

I am having trouble getting data labels to display over the provinces in a GADM map of Canada. Specifically, I need the variable "Number" from the data set "by_province", grouped by "region", to appear on the corresponding regions of the map. The data set "by_province" looks like this: long lat order hole piece region

Well, here's one way to do it: (dat is your example data frame) Cutoff <- seq(0, .15, .01) Pop <- with(dat, sapply(Cutoff, \(p)sum(Totpop[Pct >= p]))) I think there must be a more efficient way to do it with cumsum(), though. Cheers, Bert On Sat, Oct 14, 2023 at 12:53?AM Jason Stout, M.D. <jason.stout at duke.edu> wrote: > > This seems like it should be simple but I

This seems like it should be simple but I can't get it to work properly. I'm starting with a data frame like this: Tract Pct Totpop 1 0.05 4000 2 0.03 3500 3 0.01 4500 4 0.12 4100 5 0.21 3900 6 0.04 4250 7 0.07 5100 8 0.09

Hello, I am using the following code to create ppp files from csv data and map shape files, but I am getting some errors which I have been unable to fix by searching them online: library(spatstat) library(maps) library(maptools) NYC2<-readShapePoly("nybb.shp") # this is a map of the NYC boroughs without waterways and no census tract divisions (but it does include lines separating

Hello! I should have asked this earlier, but... :) We're returning to voice processing in our app now, in which we're trying to achieve n-way full duplex voice in a 3d environment. Since Speex is a single voice stream CODEC, we've been looking at having each client upload its stream to the servers, which multiplex several spatially nearby active channels back down to the

Under the hood, sapply() is also a loop (at the interpreted level). As is lapply(), etc. -- Bert On Sun, Oct 15, 2023 at 2:34?AM Jason Stout, M.D. <jason.stout at duke.edu> wrote: > > That's very helpful and instructive, thank you! > > Jason Stout, MD, MHS > Box 102359-DUMC > Durham, NC 27710 > FAX 919-681-7494 > ________________________________ > From: John

That's very helpful and instructive, thank you! Jason Stout, MD, MHS Box 102359-DUMC Durham, NC 27710 FAX 919-681-7494 ________________________________ From: John Fox <jfox at mcmaster.ca> Sent: Saturday, October 14, 2023 10:13 AM To: Jason Stout, M.D. <jason.stout at duke.edu> Cc: r-help at r-project.org <r-help at r-project.org> Subject: Re: [R] Create new data frame with

> 3) a more general question: > i have not been able to find any reason why > 10 lpcs are used. i suppose 10 lpcs are > enough for prediction and using more coeffs > would not have made too much difference. > and 10 is even, good for lpc->lsf. had read > somewhere "historically", during the analog > era, this number is used. or maybe 10 is analagous > to

Hello, I was hoping someone could answer a question for me that may either be statistical or script related. I don't come from a statistics background, so I am not positive if I am using the correct nomenclature or even the correct procedure. Is it possible to model "random coefficients" in a mixed effects cox-regression using coxme from the Kinship package? For example, using