search for: tracts

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

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

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

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

I would like to know if it is possible to perform negative binomial regression with rate data (incidence density) using the glm.nb (in MASS) function. I used the poisson regression glm call to assess the count of injuries across census tracts. The glm request was adjusted to handle the data as rates using the offset parameter since the population of census tracts can vary by a factor of three. eg. Call: glm(formula = inj ~ lp + rdm, family = poisson(), data = ww, offset = log(pop)) Deviance Residuals: Min 1Q M...

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

Can anyone point me at a good doc on farting about with the registry? Or do you feel like giving me the fool's guide? I have large tracts of registry entries to stuff in, and adding them via Edit/new in regedit is an absolute PITA and unworkably slow. I have files from exported from a win98 registry (via windoze regedit) with the correct info. I need to add because programs are not finding installed packages. TIA, -- Declan Mor...

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

...lection and BIC criterions, to the Boston housing > data. >  The Boston housing data contains 506 observations, and is publicly available in the R package mlbench (dataset “BostonHousing”).  The response variable Y is the median value of owner-occupied homes (MEDV) in each of the 506 census tracts in the Boston Standard Metropolitan Statistical Areas, and there are thirteen predictor variables.  We are interested in the relationship between MEDV and the other predictor variables. >  Setup your parametric model and use rank-based regression methodology to > select and estimate the pa...

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

...Steve, I'll post your question also to the R-help mailing list since I think this can help to other RArcInfo users. As I mentioned in the last release of the package, I have a tutorial nearly finished. I hope to release it in the next days. > I have downloaded an .e00 file of 2000 Census Tracts for the southern US > State of Georgia, and I'm wondering which steps I need to go through to use > RArcInfo on the data. If I can get to a plot today I'll be happy. I've looked for the data you mentioned and I have downlowaded from http://www.census.gov . It's a nice set o...

Dear Jason, The code could look something like: dummyData = data.frame(Tract=seq(1, 10, by=1), ?? ?Pct = c(0.05,0.03,0.01,0.12,0.21,0.04,0.07,0.09,0.06,0.03), ?? ?Totpop = c(4000,3500,4500,4100,3900,4250,5100,4700,4950,4800)) # Define the cutoffs # - allow for duplicate entries; by = 0.03; # by = 0.01; cutoffs <- seq(0, 0.20, by = by) # Create a new column with cutoffs dummyData$Cutoff

If one makes the reasonable assumption that Pct is much larger than Cutoff, sorting Cutoff is the expensive part e.g O(nlog2(n) for Quicksort (n = length Cutoff). I believe looping is O(n^2). Jeff's approach using findInterval may be faster. Of course implementation details matter. -- Bert On Mon, Oct 16, 2023 at 4:41?AM Leonard Mada <leo.mada at syonic.eu> wrote: > > Dear