[acs-r] ACS 2.1

Ezra Haber Glenn eglenn at mit.edu
Thu Jul 13 12:43:52 EDT 2017


There have been some issues with the online variable lookup tables
that the package needs to access.  Can you try this function (just
once -- no need to use it every time) :

> acs.tables.install()

after that, see if your script works.

Thanks.

--Ezra


On Thu, 13 Jul 2017 12:33:39 -0400, Sara Hintze wrote:
> 
> [1  <multipart/alternative (7bit)>]
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> Hi all,
> 
> I recently upgraded from acs 2.0 to 2.1 and am receiving errors from a script that
> previously worked under acs 2.0. I’ve attached the original script along with the console
> output. Have I missed something obvious and/or has anyone else had similar issues?
> 
> Thanks,
> 
> Sara
> 
> Sara Hintze
> 
> GIS Data Developer/Analyst | Research Services
> 
> Mid-America Regional Council
> 
> 600 Broadway Blvd., Ste 200
> 
> Kansas City, MO 64105
> 
> 816-701-8220 | www.marc.org
> 
> 
> [2 Script.r <application/octet-stream (base64)>]
> [3 ConsoleOutput.txt <text/plain (base64)>]
> > # Call the acs package for data processing
> > library(acs)
> Loading required package: stringr
> Loading required package: XML
> 
> Attaching package: ‘acs’
> 
> The following object is masked from ‘package:base’:
> 
>     apply
> 
> Warning message:
> package ‘acs’ was built under R version 3.3.3 
> > 
> > # Variables to specify end year of ACS to pull from, as well as the span, which specifies the estimates to pull for that end year (1-year, 3-year, or 5-year), and the geographic level
> > year_endyear = 2015
> > year_span = 5 # 1-year estimates are not available at the tract or block group level
> > fileGeo = "County"
> > 
> > # Additional geography fields for output
> > countyFIPS = ""
> > countyName = ""
> > stateFIPS = ""
> > stateAbbr = ""
> > 
> > if (fileGeo == "BlockGroup") {
> + # Block Group Geographies
> + mo.geo=geo.make(state=29, county=c(3,13,21,25,37,47,49,63,95,101,107,165,177), tract="*", block.group="*") 
> + ks.geo=geo.make(state=20, county=c(1,5,43,45,59,91,103,107,121,209), tract="*", block.group="*")
> + 
> + # Combine the Missouri and Kansas geographies, so we're pulling all data in a single request
> + geo = mo.geo + ks.geo
> + } else if (fileGeo == "Tract") {
> + # Tract Geographies:
> + mo.geo=geo.make(state=29, county=c(3,13,21,25,37,47,49,63,95,101,107,165,177), tract="*") 
> + ks.geo=geo.make(state=20, county=c(1,5,43,45,59,91,103,107,121,209), tract="*")
> + 
> + # Combine the Missouri and Kansas geographies, so we're pulling all data in a single request
> + geo = mo.geo + ks.geo
> + } else if (fileGeo == "Place") {
> + # Place Geographies:
> + mo.geo=geo.make(state=29, place="*")
> + ks.geo=geo.make(state=20, place="*")
> + 
> + # Combine the Missouri and Kansas geographies, so we're pulling all data in a single request
> + geo = mo.geo + ks.geo
> + } else if (fileGeo == "County") {
> + # County Geographies: 
> + # Top 2 are for counties in the MSA, plus counties needed for REACH data (Allen County, KS and Lafayette County, MO)]
> + # Bottom 2 are the counties in the MARC region only
> + 
> + #All Counties in the CSA (??) (plus Allen County, KS)
> + if (year_span == 5){
> + mo.geo=geo.make(state=29, county=c(3,13,21,25,37,47,49,63,95,101,107,165,177)) 
> + ks.geo=geo.make(state=20, county=c(1,5,43,45,59,91,103,107,121,209))
> + } else {
> + #Counties Available within the 1-Year ACS Estimates
> + mo.geo=geo.make(state=29, county=c(21,37,47,95,165)) 
> + ks.geo=geo.make(state=20, county=c(45,91,103,209))
> + }
> + 
> + # Combine the Missouri and Kansas geographies, so we're pulling all data in a single request
> + geo = mo.geo + ks.geo
> + } else if (fileGeo == "MSA") {
> + # MSA Geographies - cannot be pulled by County or State, so getting all
> + geo <- geo.make(msa="*") 
> + # Set the stateFIPS so that data appends correctly
> + stateFIPS = 99
> + }
> > 
> > # Clean up variables that are no longer needed.
> > if (fileGeo != "MSA") {
> + rm(mo.geo, ks.geo)
> + }
> > 
> > # Set up acs.lookup objects for data we want to retrieve
> > population.under18 = acs.lookup(table.name = "B09001", span=year_span, endyear = year_endyear)
> trying URL 'http://web.mit.edu/eglenn/www/acs/acs-variables/acs_5yr_2015_var.xml.gz'
> Content type 'application/xml' length 735879 bytes (718 KB)
> downloaded 718 KB
> 
> Warning message:
> In acs.lookup(table.name = "B09001", span = year_span, endyear = year_endyear) :
>   XML variable lookup tables for this request
>   seem to be missing from ' https://api.census.gov/data/2015/acs5/variables.xml ';
>   temporarily downloading and using archived copies instead;
>   since this is *much* slower, recommend running
>   acs.tables.install()
> > ownChildren.byFamilyType = acs.lookup(table.name="B09002", span=year_span, endyear=year_endyear)
> trying URL 'http://web.mit.edu/eglenn/www/acs/acs-variables/acs_5yr_2015_var.xml.gz'
> Content type 'application/xml' length 735879 bytes (718 KB)
> downloaded 718 KB
> 
> Warning message:
> In acs.lookup(table.name = "B09002", span = year_span, endyear = year_endyear) :
>   XML variable lookup tables for this request
>   seem to be missing from ' https://api.census.gov/data/2015/acs5/variables.xml ';
>   temporarily downloading and using archived copies instead;
>   since this is *much* slower, recommend running
>   acs.tables.install()
> > 
> > # Select out just those variables we want
> > population.under18.vars = population.under18[1:10]
> > ownchildren.byfamilytype.vars = ownChildren.byFamilyType[1:20]
> > children.vars = population.under18.vars + ownchildren.byfamilytype.vars
> > 
> > # Request/fetch the data, and then add to a dataframe for output
> > children.data = acs.fetch(endyear=year_endyear, span=year_span, geography=geo, variable=children.vars, dataset="acs")
> Error in if (url.test["statusMessage"] != "OK") { : 
>   missing value where TRUE/FALSE needed
> > 
> > # Create a complete FIPS code ID for the block group, tract, place, or county - this is what is used to join this data to geography
> > if (fileGeo == "Tract") {
> + myFIPS = paste(geography(children.data)$state, sprintf("%03d",geography(children.data)$county), geography(children.data)$tract, sep="")
> + } else if (fileGeo == "County") {
> + myFIPS = paste(geography(children.data)$state, sprintf("%03s",geography(children.data)$county), sep="")
> + } else if (fileGeo == "Place") {
> + myFIPS = paste(geography(children.data)$state, sprintf("%05s",geography(children.data)$place), sep="")
> + } else if (fileGeo == "BlockGroup") {
> + myFIPS = paste(geography(children.data)$state, sprintf("%03d",geography(children.data)$county), sprintf("%06d",geography(children.data)$tract), geography(children.data)$blockgroup, sep="")
> + } else if (fileGeo == "MSA") {
> + myFIPS = geography(children.data)$metropolitanstatisticalareamicropolitanstatisticalarea
> + }
> Error in geography(children.data) : object 'children.data' not found
> > 
> > if (fileGeo != "MSA" && fileGeo != "Place") {
> + countyFIPS = paste(geography(children.data)$state, sprintf("%03s",geography(children.data)$county), sep="")
> + stateFIPS = geography(children.data)$state
> + } else if(fileGeo != "MSA") {
> + stateFIPS = geography(children.data)$state
> + }
> Error in geography(children.data) : object 'children.data' not found
> > 
> > children.df = data.frame(geography(children.data)$NAME, myFIPS, countyFIPS, countyName, stateFIPS, stateAbbr, year_endyear, year_span, estimate(children.data))
> Error in geography(children.data) : object 'children.data' not found
> > 
> > # Overwrite default ACS field names with English
> > cols_children = c("GeoStr", "FIPS", "CountyFIPS", "CountyName", "StateFIPS", "StateAbbr", "Period", "Dataset", "PopulationUnder18", "Under18InHouseholds", "AgeUnder3Years", "Age3to4", "Age5", "Age6to8", "Age9to11", "Age12to14", "Age15to17", "Under18InGroupQuarters", "OwnChildrenUnder18", "InMarriedCouples","InMarriedCouples_Under3years","InMarriedCouples_3to4years","InMarriedCouples_5years","InMarriedCouples_6to11years","InMarriedCouples_12to17years","InOtherFamilies","MaleHoH","MaleHoH_Under3years","MaleHoH_3to4years","MaleHoH_5years","MaleHoH_6to11years","MaleHoH_12to17years","FemaleHoH","FemaleHoH_Under3years","FemaleHoH_3to4years","FemaleHoH_5years","FemaleHoH_6to11years","FemaleHoH_12to17years")
> > colnames(children.df)=cols_children
> Error in colnames(children.df) = cols_children : 
>   object 'children.df' not found
> > 
> > # Set rownames to NULL, so it defaults to a sequential numeric output
> > rownames(children.df) <- NULL
> Error in rownames(children.df) <- NULL : object 'children.df' not found
> > 
> > #Clean up unneeded variables
> > rm(ownChildren.byFamilytype, ownchildren.byfamilytype.vars, population.under18, population.under18.vars, children.vars, children.data, children.df)
> Warning messages:
> 1: In rm(ownChildren.byFamilytype, ownchildren.byfamilytype.vars, population.under18,  :
>   object 'ownChildren.byFamilytype' not found
> 2: In rm(ownChildren.byFamilytype, ownchildren.byfamilytype.vars, population.under18,  :
>   object 'children.data' not found
> 3: In rm(ownChildren.byFamilytype, ownchildren.byfamilytype.vars, population.under18,  :
>   object 'children.df' not found
> > 
> [4  <text/plain; us-ascii (7bit)>]
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--
Ezra Haber Glenn, AICP
Department of Urban Studies and Planning
Massachusetts Institute of Technology
77 Massachusetts Ave., Room 7-346
Cambridge, MA 02139
eglenn at mit.edu 
http://dusp.mit.edu/faculty/ezra-glenn
617.253.2024 (w)
617.721.7131 (c)



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