R/sipp.R
In ajdamico/lodown: locally download and prepare publicly-available microdata
Defines functions
chop.suid
fix.repwgt
fix.ct
fix.ahiehi
lodown_sipp
get_catalog_sipp
get_catalog_sipp <-
function( data_name = "sipp" , output_dir , ... ){
cat_1996 <-
data.frame(
panel = 1996 ,
wave = c( 1:12 , 1:12 , 1:12 , rep( NA , 6 ) ) ,
cy = c( rep( NA , 37 ) , 1996:1999 , NA ) ,
db_tablename = c( paste0( "w" , 1:12 ) , paste0( "rw" , 1:12 ) , paste0( "tm" , 1:12 ) , "wgtw12" , paste0( 'cy' , 1:4 ) , "pnl" ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/l96puw" , 1:12 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/rw96w" , 1:12 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/tm96puw" , 1:9 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/p96putm10.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/tm96puw" , 11:12 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/ctl_fer.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/lrw96" , c( paste0( 'cy' , 1:4 ) , 'pnl' ) , ".zip" )
) ,
dbfile = paste0( output_dir , "/SQLite_1996.db" ) ,
stringsAsFactors = FALSE
)
cat_2001 <-
data.frame(
panel = 2001 ,
wave = c( 1:9 , 1:9 , 1:9 , rep( NA , 9 ) ) ,
cy = c( rep( NA , 30 ) , 2001:2003 , 2001:2003 ) ,
db_tablename = c( paste0( "w" , 1:9 ) , paste0( "rw" , 1:9 ) , paste0( "tm" , 1:9 ) , "wgtw9" , "hh" , "wf" , paste0( 'cy' , 1:3 ) , paste0( 'pnl' , 1:3 ) ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/l01puw" , 1:9 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/rw01w" , 1:9 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm" , 1:9 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwgt2001w9.zip" ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/hhldpuw1.zip" ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm8x.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwgt" , c( paste0( 'cy' , 1:3 ) , paste0( 'pnl' , 1:3 ) ) , ".zip" )
) ,
dbfile = paste0( output_dir , "/SQLite_2001.db" ) ,
stringsAsFactors = FALSE
)
cat_2004 <-
data.frame(
panel = 2004 ,
wave = c( 1:12 , 1:12 , 1:8 , rep( NA , 11 ) ) ,
cy = c( rep( NA , 33 ) , 2004:2007 , 2004:2007 , NA , NA ) ,
db_tablename = c( paste0( "w" , 1:12 ) , paste0( "rw" , 1:12 ) , paste0( "tm" , 1:8 ) , "wgtw12" , paste0( 'cy' , 1:4 ) , paste0( 'pnl' , 1:4 ) , 'aoa3' , 'aoa6' ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/l04puw" , 1:12 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/rw04w" , 1:12 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm" , 1:8 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lgtwgt2004w12.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lrw04_" , c( paste0( 'cy' , 1:4 ) , paste0( 'pnl' , 1:4 ) ) , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm3_aoa.zip" ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm6_aoa.zip"
) ,
dbfile = paste0( output_dir , "/SQLite_2004.db" ) ,
stringsAsFactors = FALSE
)
cat_2008 <-
data.frame(
panel = 2008 ,
wave = c( 1:16 , 1:16 , 1:11 , 13 , rep( NA , 11 ) ) ,
cy = c( rep( NA , 45 ) , 2009:2013 , 2009:2013 ) ,
db_tablename = c( paste0( "w" , 1:16 ) , paste0( "rw" , 1:16 ) , paste0( "tm" , c( 1:11 , 13 ) ) , "wgtw16" , paste0( 'cy' , 1:5 ) , paste0( 'pn' , 1:5 ) ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , 1:16 , "/l08puw" , 1:16 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , 1:16 , "/rw08w" , 1:16 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , c( 1:11 , 13 ) , "/p08putm" , c( 1:11 , 13 ) , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lgtwgt2008w16.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lrw08" , c( paste0( 'cy' , 1:5 ) , paste0( 'pn' , 1:5 ) ) , ".zip" )
) ,
dbfile = paste0( output_dir , "/SQLite_2008.df" ) ,
stringsAsFactors = FALSE
)
cat_2014 <-
data.frame(
panel = 2014 ,
wave = c( 1 , 1 ) ,
cy = c( NA , NA ) ,
db_tablename = c( paste0( "w" , 1 ) , paste0( "rw" , 1 ) ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/pu2014w" , 1 , "_dat.zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/rw14w" , 1 , ".zip" )
) ,
dbfile = paste0( output_dir , "/SQLite_2014.db" ) ,
stringsAsFactors = FALSE
)
rbind( cat_1996 , cat_2001 , cat_2004 , cat_2008 , cat_2014 )
}
lodown_sipp <-
function( data_name = "sipp" , catalog , ... ){
on.exit( print( catalog ) )
tf <- tempfile()
for( i in seq_len( nrow( catalog ) ) ){
# open the connection to the monetdblite database
db <- DBI::dbConnect( MonetDBLite::MonetDBLite() , catalog[ i , 'dbfile' ] )
if( catalog[ i , 'panel' ] == 1996 ){
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/ctl_fer.zip" ){
# the census SIPP FTP site does not have a SAS input script,
# so create one using the dictionary at
# https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/ctl_ferd.asc
# write an example SAS import script using the dash method
sas.import.with.at.signs <-
"INPUT
@1 LGTKEY 8.
@9 SPANEL 4.
@13 SSUID 12.
@25 EPPPNUM 4.
@29 LGTPNLWT 10.
@39 LGTPNWT1 10.
@49 LGTPNWT2 10.
@59 LGTPNWT3 10.
@69 LGTPNWT4 10.
;"
# create a temporary file
sas.import.with.at.signs.tf <- tempfile()
# write the sas code above to that temporary file
writeLines ( sas.import.with.at.signs , con = sas.import.with.at.signs.tf )
# end of fake SAS input script creation #
# add the longitudinal weights to the database in a table 'w12'
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( sas.import.with.at.signs.tf ) ) ,
# note no beginline = parameter in this read_SAScii_monetdb() call
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/l96puw" , 1:12 , ".zip" ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/sip96lgt.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/rw96w" , 1:12 , ".zip" ) ){
# add the wave-specific replicate weight to the database in a table rw#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( fix.repwgt( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/rw96wx.sas" ) ) ) ,
beginline = 7 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
if(
catalog[ i , 'full_url' ] %in%
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/tm96puw" , 1:9 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/p96putm10.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/tm96puw" , 11:12 , ".zip" )
) ){
# add each topical module to the database in a table tm#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/p96putm" , catalog[ i , 'wave' ] , ".sas" ) ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/lrw96" , c( paste0( 'cy' , 1:4 ) , 'pnl' ) , ".zip" ) ){
# add each longitudinal replicate weight file to the database in a table cy1-4 or pnl
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.repwgt( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/lrw96_xx.sas" ) ) ,
beginline = 7 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# the current working directory should now contain one database (.db) file
}
if( catalog[ i , 'panel' ] == 2001 ){
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/hhldpuw1.zip" ){
# the census SIPP FTP site does not have a SAS input script,
# so create one using the dictionary at
# https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/hhpuw1d.txt
# write an example SAS import script using the dash method
sas.import.with.at.signs <-
"INPUT
@1 SSUID 12.
@13 UHOWLGMT $ 2.
@15 UHOWLGYR $ 4.
@19 UWHNAPMT $ 2.
@21 UWHNAPYR $ 4.
@25 UWAITLST $ 1.
;"
# create a temporary file
sas.import.with.at.signs.tf <- tempfile()
# write the sas code above to that temporary file
writeLines ( sas.import.with.at.signs , con = sas.import.with.at.signs.tf )
# end of fake SAS input script creation #
# add the longitudinal weights to the database in a table 'hh' (household)
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( sas.import.with.at.signs.tf ) ) ,
# note no beginline = parameter in this read_SAScii_monetdb() call
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db ,
try_best_effort = TRUE
)
}
# if the welfare reform module flag has been set to TRUE above..
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm8x.zip" ){
# add the longitudinal weights to the database in a table 'wf' (welfare)
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm8x.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# if the longitudinal weights flag has been set to TRUE above..
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwgt2001w9.zip" ){
# the census SIPP FTP site does not have a SAS input script,
# so create one using the dictionary at
# https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwt01d.txt
# write an example SAS import script using the dash method
sas.import.with.at.signs <-
"INPUT
@1 LGTKEY 8.
@9 SPANEL 4.
@13 SSUID 12.
@25 EPPPNUM 4.
@29 LGTPNWT1 10.
@39 LGTPNWT2 10.
@49 LGTPNWT3 10.
@59 LGTCY1WT 10.
@69 LGTCY2WT 10.
@79 LGTCY3WT 10.
;"
# create a temporary file
sas.import.with.at.signs.tf <- tempfile()
# write the sas code above to that temporary file
writeLines ( sas.import.with.at.signs , con = sas.import.with.at.signs.tf )
# end of fake SAS input script creation #
# add the longitudinal weights to the database in a table 'w9'
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( sas.import.with.at.signs.tf ) ) ,
# note no beginline = parameter in this read_SAScii_monetdb() call
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each core wave..
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/l01puw" , 1:9 , ".zip" ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01puw1.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each replicate weight wave..
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/rw01w" , 1:9 , ".zip" ) ){
# add the wave-specific replicate weight to the database in a table rw#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/rw01wx.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each topical module..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm" , 1:9 , ".zip" ) ){
# add each topical module to the database in a table tm#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm" , catalog[ i , 'wave' ] , ".sas" ) ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each longitudinal replicate weight file..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwgt" , c( paste0( 'cy' , 1:3 ) , paste0( 'pnl' , 1:3 ) ) , ".zip" ) ){
# add each longitudinal replicate weight file to the database in a table cy1-3 or pnl1-3
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
fix.repwgt( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lrw01_xx.sas" ) ,
beginline = 7 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# the current working directory should now contain one database (.db) file
}
if( catalog[ i , 'panel' ] == 2004 ){
# if the longitudinal weights flag has been set to TRUE above..
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lgtwgt2004w12.zip" ){
# add the longitudinal weights to the database in a table 'w12'
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lgtwgt2004w12.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each core wave..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/l04puw" , 1:12 , ".zip" ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/l04puw1.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each replicate weight wave..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/rw04w" , 1:12 , ".zip" ) ){
# add the wave-specific replicate weight to the database in a table rw#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/rw04wx.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each topical module..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm" , 1:8 , ".zip" ) ){
# add each topical module to the database in a table tm#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm" , catalog[ i , 'wave' ] , ".sas" ) ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# add the two sipp assets extracts to the database
if( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm3_aoa.zip" ){
tm3_tablename <- catalog[ catalog$full_url == 'https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm3.zip' , 'db_tablename' ]
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid(fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm3_aoa.sas") ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
aoa3.fields <- DBI::dbListFields( db , catalog[ i , 'db_tablename' ] )
aoa3.fields <- aoa3.fields[ !( aoa3.fields %in% c( 'ssuid' , 'epppnum' ) ) ]
tm3.nis <- DBI::dbListFields( db , tm3_tablename )[ !( DBI::dbListFields( db , tm3_tablename ) %in% aoa3.fields ) ]
tm3.ct <-
paste(
'create table temp_tm3 as select' ,
paste( tm3.nis , collapse = " , " ) ,
'from' , tm3_tablename
)
DBI::dbSendQuery( db , tm3.ct )
DBI::dbRemoveTable( db , tm3_tablename )
DBI::dbSendQuery( db , paste( 'create table' , tm3_tablename , 'as select * from temp_tm3' ) )
DBI::dbRemoveTable( db , 'temp_tm3' )
}
if( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm6_aoa.zip" ){
tm6_tablename <- catalog[ catalog$full_url == 'https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm6.zip' , 'db_tablename' ]
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid(fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm6_aoa.sas") ) ,
beginline = 4 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
aoa6.fields <- DBI::dbListFields( db , catalog[ i , 'db_tablename' ] )
aoa6.fields <- aoa6.fields[ !( aoa6.fields %in% c( 'ssuid' , 'epppnum' ) ) ]
tm6.nis <- DBI::dbListFields( db , tm6_tablename )[ !( DBI::dbListFields( db , 'tm6' ) %in% aoa6.fields ) ]
tm6.ct <-
paste(
'create table temp_tm6 as select' ,
paste( tm6.nis , collapse = " , " ) ,
'from' ,
tm6_tablename
)
DBI::dbSendQuery( db , tm6.ct )
DBI::dbRemoveTable( db , tm6_tablename )
DBI::dbSendQuery( db , paste( 'create table' , tm6_tablename , 'as select * from temp_tm6' ) )
DBI::dbRemoveTable( db , 'temp_tm6' )
}
# loop through each longitudinal replicate weight file..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lrw04_" , c( paste0( 'cy' , 1:4 ) , paste0( 'pnl' , 1:4 ) ) , ".zip" ) ){
# add each longitudinal replicate weight file to the database in a table cy1-4 or pnl1-4
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lrw04_xx.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db ,
try_best_effort = ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lrw04_cy3.zip" )
)
}
# the current working directory should now contain one database (.db) file
}
if( catalog[ i , 'panel' ] == 2008 ){
# if the longitudinal weights flag has been set to TRUE above..
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lgtwgt2008w16.zip" ){
# add the longitudinal weights to the database in a table 'wgtw14'
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lgtwgt2008w16.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each core wave..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , 1:16 , "/l08puw" , 1:16 , ".zip" ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/l08puw1.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each replicate weight wave..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , 1:16 , "/rw08w" , 1:16 , ".zip" ) ){
# add the wave-specific replicate weight to the database in a table rw#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/rw08wx.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each topical module..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , c( 1:11 , 13 ) , "/p08putm" , c( 1:11 , 13 ) , ".zip" ) ){
# add each topical module to the database in a table tm#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/p08putm" , catalog[ i , 'wave' ] , ".sas" ) ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each longitudinal replicate weight file..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lrw08" , c( paste0( 'cy' , 1:5 ) , paste0( 'pn' , 1:5 ) ) , ".zip" ) ){
# add each longitudinal replicate weight file to the database in a table cy1-4 or pnl1-4
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.repwgt( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lrw08_xx.sas" ) ) ,
beginline = 7 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# the current working directory should now contain one database (.db) file
}
if( catalog[ i , 'panel' ] == 2014 ){
# loop through each core wave..
if ( grepl( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/pu2014w" , catalog[ i , 'full_url' ] , fixed = TRUE ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
fix.ahiehi( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/pu2014w1.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
na_strings = "." ,
tablename = catalog[ i , 'db_tablename' ] ,
unzip_fun = unarchive_nicely ,
connection = db
)
}
# loop through each replicate weight wave..
if ( grepl( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/rw14w" , catalog[ i , 'full_url' ] , fixed = TRUE ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
fix.repwgt("https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/rw14wx_sas.txt") ,
beginline = 2 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
unzip_fun = unarchive_nicely ,
connection = db
)
}
}
catalog[ i , 'case_count' ] <- DBI::dbGetQuery( db , paste( 'select count(*) from' , catalog[ i , 'db_tablename' ] ) )
stopifnot( catalog[ i , 'case_count' ] > 0 )
# delete the temporary files
suppressWarnings( file.remove( tf ) )
cat( paste0( data_name , " catalog entry " , i , " of " , nrow( catalog ) , " stored in '" , catalog[ i , 'db_tablename' ] , "' table of " , catalog[ i , 'dbfile' ] , "'\r\n\n" ) )
}
DBI::dbDisconnect( db , shutdown = TRUE )
on.exit()
catalog
}
##############################################################################
# function to fix sas input scripts where census has the incorrect column type
fix.ahiehi <-
function( sasfile ){
sas_lines <- readLines( sasfile )
ahi_line <- which( sas_lines == "AHI1WHO 6923 - 6923" )
ehi_line <- which( sas_lines == "EHI2WHO5 6922 - 6922" )
seq_lines <- seq( length( sas_lines ) )
seq_lines[ ahi_line ] <- ehi_line
seq_lines[ ehi_line ] <- ahi_line
sas_lines <- sas_lines[ seq_lines ]
# create a temporary file
tf <- tempfile()
# write the updated sas input file to the temporary file
writeLines( sas_lines , tf )
# return the filepath to the temporary file containing the updated sas input script
tf
}
##############################################################################
##############################################################################
# function to fix sas input scripts where census has the incorrect column type
fix.ct <-
function( sasfile ){
sas_lines <- readLines( sasfile )
# ssuid should always be numeric (it's occasionally character)
sas_lines <- gsub( "SSUID \\$" , "SSUID" , sas_lines )
# ctl_date and lgtwttyp contain strings not numbers
sas_lines <- gsub( "CTL_DATE" , "CTL_DATE $" , sas_lines )
sas_lines <- gsub( "LGTWTTYP" , "LGTWTTYP $" , sas_lines )
# create a temporary file
tf <- tempfile()
# write the updated sas input file to the temporary file
writeLines( sas_lines , tf )
# return the filepath to the temporary file containing the updated sas input script
tf
}
##############################################################################
###################################################################################
# function to fix sas input scripts where repwgt values are collapsed into one line
# (the SAScii function cannot currently handle this SAS configuration on its own
fix.repwgt <-
function( sasfile ){
sas_lines <- readLines( sasfile )
# identify the line containing REPWGT
rep.position <- grep( "REPWGT" , sas_lines )
# look at the line directly above it..
line.above <- strsplit( sas_lines[ rep.position - 1 ] , "-" )[[1]]
# ..and figure out what position it ends at
end.position <- as.numeric( line.above[ length( line.above ) ] )
# start with a line containing ()
j <- sas_lines[ rep.position ]
# courtesy of this discussion on stackoverflow.com
# http://stackoverflow.com/questions/8613237/extract-info-inside-all-parenthesis-in-r-regex
# break it into two strings without the ()
k <- gsub(
"[\\(\\)]",
"" ,
regmatches(
j ,
gregexpr(
"\\(.*?\\)" ,
j
)
)[[1]]
)
# number of repweights
l <- as.numeric( gsub( "REPWGT1-REPWGT" , "" , k )[1] )
# length of repweights (assumes no decimals!)
m <- as.numeric( k[2] )
# these should start at the end position (determined above) plus one
start.vec <- ( end.position + 1 ) + ( m * 0:( l - 1 ) )
end.vec <- ( end.position ) + ( m * 1:l )
# vector of all repweight lines
repwgt.lines <-
paste0( "REPWGT" , 1:l , " " , start.vec , "-" , end.vec )
# collapse them all together into one string
repwgt.line <- paste( repwgt.lines , collapse = " " )
# finally replace the old line with the new line in the sas input script
sas_lines <- gsub( j , repwgt.line , sas_lines , fixed = TRUE )
# create a temporary file
tf <- tempfile()
# write the updated sas input file to the temporary file
writeLines( sas_lines , tf )
# return the filepath to the temporary file containing the updated sas input script
tf
}
##################################################################################
##################################################################################
# sas importation scripts with an `SUID` column near the end
# are incorrect. the census bureau just left them in,
# and the SAScii package won't just throw 'em out for ya.
# so throw out the non-public lines manually.
chop.suid <-
function( sf ){
# create a temporary file
tf <- tempfile()
# read the sas lines into memory
sl <- readLines( sf )
# figure out the position of the `suid` variable..
where.to.chop <- which( grepl( 'suid' , tolower( sl ) ) & !grepl( 'ssuid' , tolower( sl ) ) )
# if it exists..
if( length( where.to.chop ) > 0 ){
# find all semicolons in the document..
semicolons <- grep( ';' , sl )
# ..now, more precisely, find the first semicolon after the chop-line
end.of.chop <- min( semicolons[ semicolons > where.to.chop ] ) - 1
# remove non-public lines
sl <- sl[ -where.to.chop:-end.of.chop ]
}
# write the sas import script to the text file..
writeLines( sl , tf )
# ..and return the position of the text file on the local disk.
tf
}
##################################################################################
ajdamico/lodown documentation built on Feb. 1, 2024, 3:44 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Defines functions chop.suid fix.repwgt fix.ct fix.ahiehi lodown_sipp get_catalog_sipp
get_catalog_sipp <-
function( data_name = "sipp" , output_dir , ... ){
cat_1996 <-
data.frame(
panel = 1996 ,
wave = c( 1:12 , 1:12 , 1:12 , rep( NA , 6 ) ) ,
cy = c( rep( NA , 37 ) , 1996:1999 , NA ) ,
db_tablename = c( paste0( "w" , 1:12 ) , paste0( "rw" , 1:12 ) , paste0( "tm" , 1:12 ) , "wgtw12" , paste0( 'cy' , 1:4 ) , "pnl" ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/l96puw" , 1:12 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/rw96w" , 1:12 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/tm96puw" , 1:9 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/p96putm10.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/tm96puw" , 11:12 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/ctl_fer.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/lrw96" , c( paste0( 'cy' , 1:4 ) , 'pnl' ) , ".zip" )
) ,
dbfile = paste0( output_dir , "/SQLite_1996.db" ) ,
stringsAsFactors = FALSE
)
cat_2001 <-
data.frame(
panel = 2001 ,
wave = c( 1:9 , 1:9 , 1:9 , rep( NA , 9 ) ) ,
cy = c( rep( NA , 30 ) , 2001:2003 , 2001:2003 ) ,
db_tablename = c( paste0( "w" , 1:9 ) , paste0( "rw" , 1:9 ) , paste0( "tm" , 1:9 ) , "wgtw9" , "hh" , "wf" , paste0( 'cy' , 1:3 ) , paste0( 'pnl' , 1:3 ) ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/l01puw" , 1:9 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/rw01w" , 1:9 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm" , 1:9 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwgt2001w9.zip" ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/hhldpuw1.zip" ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm8x.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwgt" , c( paste0( 'cy' , 1:3 ) , paste0( 'pnl' , 1:3 ) ) , ".zip" )
) ,
dbfile = paste0( output_dir , "/SQLite_2001.db" ) ,
stringsAsFactors = FALSE
)
cat_2004 <-
data.frame(
panel = 2004 ,
wave = c( 1:12 , 1:12 , 1:8 , rep( NA , 11 ) ) ,
cy = c( rep( NA , 33 ) , 2004:2007 , 2004:2007 , NA , NA ) ,
db_tablename = c( paste0( "w" , 1:12 ) , paste0( "rw" , 1:12 ) , paste0( "tm" , 1:8 ) , "wgtw12" , paste0( 'cy' , 1:4 ) , paste0( 'pnl' , 1:4 ) , 'aoa3' , 'aoa6' ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/l04puw" , 1:12 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/rw04w" , 1:12 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm" , 1:8 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lgtwgt2004w12.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lrw04_" , c( paste0( 'cy' , 1:4 ) , paste0( 'pnl' , 1:4 ) ) , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm3_aoa.zip" ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm6_aoa.zip"
) ,
dbfile = paste0( output_dir , "/SQLite_2004.db" ) ,
stringsAsFactors = FALSE
)
cat_2008 <-
data.frame(
panel = 2008 ,
wave = c( 1:16 , 1:16 , 1:11 , 13 , rep( NA , 11 ) ) ,
cy = c( rep( NA , 45 ) , 2009:2013 , 2009:2013 ) ,
db_tablename = c( paste0( "w" , 1:16 ) , paste0( "rw" , 1:16 ) , paste0( "tm" , c( 1:11 , 13 ) ) , "wgtw16" , paste0( 'cy' , 1:5 ) , paste0( 'pn' , 1:5 ) ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , 1:16 , "/l08puw" , 1:16 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , 1:16 , "/rw08w" , 1:16 , ".zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , c( 1:11 , 13 ) , "/p08putm" , c( 1:11 , 13 ) , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lgtwgt2008w16.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lrw08" , c( paste0( 'cy' , 1:5 ) , paste0( 'pn' , 1:5 ) ) , ".zip" )
) ,
dbfile = paste0( output_dir , "/SQLite_2008.df" ) ,
stringsAsFactors = FALSE
)
cat_2014 <-
data.frame(
panel = 2014 ,
wave = c( 1 , 1 ) ,
cy = c( NA , NA ) ,
db_tablename = c( paste0( "w" , 1 ) , paste0( "rw" , 1 ) ) ,
full_url =
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/pu2014w" , 1 , "_dat.zip" ) ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/rw14w" , 1 , ".zip" )
) ,
dbfile = paste0( output_dir , "/SQLite_2014.db" ) ,
stringsAsFactors = FALSE
)
rbind( cat_1996 , cat_2001 , cat_2004 , cat_2008 , cat_2014 )
}
lodown_sipp <-
function( data_name = "sipp" , catalog , ... ){
on.exit( print( catalog ) )
tf <- tempfile()
for( i in seq_len( nrow( catalog ) ) ){
# open the connection to the monetdblite database
db <- DBI::dbConnect( MonetDBLite::MonetDBLite() , catalog[ i , 'dbfile' ] )
if( catalog[ i , 'panel' ] == 1996 ){
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/ctl_fer.zip" ){
# the census SIPP FTP site does not have a SAS input script,
# so create one using the dictionary at
# https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/ctl_ferd.asc
# write an example SAS import script using the dash method
sas.import.with.at.signs <-
"INPUT
@1 LGTKEY 8.
@9 SPANEL 4.
@13 SSUID 12.
@25 EPPPNUM 4.
@29 LGTPNLWT 10.
@39 LGTPNWT1 10.
@49 LGTPNWT2 10.
@59 LGTPNWT3 10.
@69 LGTPNWT4 10.
;"
# create a temporary file
sas.import.with.at.signs.tf <- tempfile()
# write the sas code above to that temporary file
writeLines ( sas.import.with.at.signs , con = sas.import.with.at.signs.tf )
# end of fake SAS input script creation #
# add the longitudinal weights to the database in a table 'w12'
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( sas.import.with.at.signs.tf ) ) ,
# note no beginline = parameter in this read_SAScii_monetdb() call
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/l96puw" , 1:12 , ".zip" ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/sip96lgt.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/rw96w" , 1:12 , ".zip" ) ){
# add the wave-specific replicate weight to the database in a table rw#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( fix.repwgt( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/rw96wx.sas" ) ) ) ,
beginline = 7 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
if(
catalog[ i , 'full_url' ] %in%
c(
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/tm96puw" , 1:9 , ".zip" ) ,
"https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/p96putm10.zip" ,
paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/tm96puw" , 11:12 , ".zip" )
) ){
# add each topical module to the database in a table tm#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/p96putm" , catalog[ i , 'wave' ] , ".sas" ) ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/lrw96" , c( paste0( 'cy' , 1:4 ) , 'pnl' ) , ".zip" ) ){
# add each longitudinal replicate weight file to the database in a table cy1-4 or pnl
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.repwgt( "https://www2.census.gov/programs-surveys/sipp/data/datasets/1996/lrw96_xx.sas" ) ) ,
beginline = 7 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# the current working directory should now contain one database (.db) file
}
if( catalog[ i , 'panel' ] == 2001 ){
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/hhldpuw1.zip" ){
# the census SIPP FTP site does not have a SAS input script,
# so create one using the dictionary at
# https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/hhpuw1d.txt
# write an example SAS import script using the dash method
sas.import.with.at.signs <-
"INPUT
@1 SSUID 12.
@13 UHOWLGMT $ 2.
@15 UHOWLGYR $ 4.
@19 UWHNAPMT $ 2.
@21 UWHNAPYR $ 4.
@25 UWAITLST $ 1.
;"
# create a temporary file
sas.import.with.at.signs.tf <- tempfile()
# write the sas code above to that temporary file
writeLines ( sas.import.with.at.signs , con = sas.import.with.at.signs.tf )
# end of fake SAS input script creation #
# add the longitudinal weights to the database in a table 'hh' (household)
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( sas.import.with.at.signs.tf ) ) ,
# note no beginline = parameter in this read_SAScii_monetdb() call
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db ,
try_best_effort = TRUE
)
}
# if the welfare reform module flag has been set to TRUE above..
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm8x.zip" ){
# add the longitudinal weights to the database in a table 'wf' (welfare)
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm8x.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# if the longitudinal weights flag has been set to TRUE above..
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwgt2001w9.zip" ){
# the census SIPP FTP site does not have a SAS input script,
# so create one using the dictionary at
# https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwt01d.txt
# write an example SAS import script using the dash method
sas.import.with.at.signs <-
"INPUT
@1 LGTKEY 8.
@9 SPANEL 4.
@13 SSUID 12.
@25 EPPPNUM 4.
@29 LGTPNWT1 10.
@39 LGTPNWT2 10.
@49 LGTPNWT3 10.
@59 LGTCY1WT 10.
@69 LGTCY2WT 10.
@79 LGTCY3WT 10.
;"
# create a temporary file
sas.import.with.at.signs.tf <- tempfile()
# write the sas code above to that temporary file
writeLines ( sas.import.with.at.signs , con = sas.import.with.at.signs.tf )
# end of fake SAS input script creation #
# add the longitudinal weights to the database in a table 'w9'
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( sas.import.with.at.signs.tf ) ) ,
# note no beginline = parameter in this read_SAScii_monetdb() call
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each core wave..
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/l01puw" , 1:9 , ".zip" ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01puw1.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each replicate weight wave..
if( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/rw01w" , 1:9 , ".zip" ) ){
# add the wave-specific replicate weight to the database in a table rw#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/rw01wx.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each topical module..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm" , 1:9 , ".zip" ) ){
# add each topical module to the database in a table tm#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/p01putm" , catalog[ i , 'wave' ] , ".sas" ) ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each longitudinal replicate weight file..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lgtwgt" , c( paste0( 'cy' , 1:3 ) , paste0( 'pnl' , 1:3 ) ) , ".zip" ) ){
# add each longitudinal replicate weight file to the database in a table cy1-3 or pnl1-3
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
fix.repwgt( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2001/lrw01_xx.sas" ) ,
beginline = 7 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# the current working directory should now contain one database (.db) file
}
if( catalog[ i , 'panel' ] == 2004 ){
# if the longitudinal weights flag has been set to TRUE above..
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lgtwgt2004w12.zip" ){
# add the longitudinal weights to the database in a table 'w12'
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lgtwgt2004w12.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each core wave..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/l04puw" , 1:12 , ".zip" ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/l04puw1.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each replicate weight wave..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/rw04w" , 1:12 , ".zip" ) ){
# add the wave-specific replicate weight to the database in a table rw#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/rw04wx.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each topical module..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm" , 1:8 , ".zip" ) ){
# add each topical module to the database in a table tm#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm" , catalog[ i , 'wave' ] , ".sas" ) ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# add the two sipp assets extracts to the database
if( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm3_aoa.zip" ){
tm3_tablename <- catalog[ catalog$full_url == 'https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm3.zip' , 'db_tablename' ]
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid(fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm3_aoa.sas") ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
aoa3.fields <- DBI::dbListFields( db , catalog[ i , 'db_tablename' ] )
aoa3.fields <- aoa3.fields[ !( aoa3.fields %in% c( 'ssuid' , 'epppnum' ) ) ]
tm3.nis <- DBI::dbListFields( db , tm3_tablename )[ !( DBI::dbListFields( db , tm3_tablename ) %in% aoa3.fields ) ]
tm3.ct <-
paste(
'create table temp_tm3 as select' ,
paste( tm3.nis , collapse = " , " ) ,
'from' , tm3_tablename
)
DBI::dbSendQuery( db , tm3.ct )
DBI::dbRemoveTable( db , tm3_tablename )
DBI::dbSendQuery( db , paste( 'create table' , tm3_tablename , 'as select * from temp_tm3' ) )
DBI::dbRemoveTable( db , 'temp_tm3' )
}
if( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm6_aoa.zip" ){
tm6_tablename <- catalog[ catalog$full_url == 'https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm6.zip' , 'db_tablename' ]
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid(fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/p04putm6_aoa.sas") ) ,
beginline = 4 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
aoa6.fields <- DBI::dbListFields( db , catalog[ i , 'db_tablename' ] )
aoa6.fields <- aoa6.fields[ !( aoa6.fields %in% c( 'ssuid' , 'epppnum' ) ) ]
tm6.nis <- DBI::dbListFields( db , tm6_tablename )[ !( DBI::dbListFields( db , 'tm6' ) %in% aoa6.fields ) ]
tm6.ct <-
paste(
'create table temp_tm6 as select' ,
paste( tm6.nis , collapse = " , " ) ,
'from' ,
tm6_tablename
)
DBI::dbSendQuery( db , tm6.ct )
DBI::dbRemoveTable( db , tm6_tablename )
DBI::dbSendQuery( db , paste( 'create table' , tm6_tablename , 'as select * from temp_tm6' ) )
DBI::dbRemoveTable( db , 'temp_tm6' )
}
# loop through each longitudinal replicate weight file..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lrw04_" , c( paste0( 'cy' , 1:4 ) , paste0( 'pnl' , 1:4 ) ) , ".zip" ) ){
# add each longitudinal replicate weight file to the database in a table cy1-4 or pnl1-4
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lrw04_xx.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db ,
try_best_effort = ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2004/lrw04_cy3.zip" )
)
}
# the current working directory should now contain one database (.db) file
}
if( catalog[ i , 'panel' ] == 2008 ){
# if the longitudinal weights flag has been set to TRUE above..
if ( catalog[ i , 'full_url' ] == "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lgtwgt2008w16.zip" ){
# add the longitudinal weights to the database in a table 'wgtw14'
read_SAScii_monetdb(
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lgtwgt2008w16.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each core wave..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , 1:16 , "/l08puw" , 1:16 , ".zip" ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/l08puw1.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each replicate weight wave..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , 1:16 , "/rw08w" , 1:16 , ".zip" ) ){
# add the wave-specific replicate weight to the database in a table rw#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/rw08wx.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each topical module..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/w" , c( 1:11 , 13 ) , "/p08putm" , c( 1:11 , 13 ) , ".zip" ) ){
# add each topical module to the database in a table tm#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.ct( paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/p08putm" , catalog[ i , 'wave' ] , ".sas" ) ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# loop through each longitudinal replicate weight file..
if ( catalog[ i , 'full_url' ] %in% paste0( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lrw08" , c( paste0( 'cy' , 1:5 ) , paste0( 'pn' , 1:5 ) ) , ".zip" ) ){
# add each longitudinal replicate weight file to the database in a table cy1-4 or pnl1-4
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
chop.suid( fix.repwgt( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2008/lrw08_xx.sas" ) ) ,
beginline = 7 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
connection = db
)
}
# the current working directory should now contain one database (.db) file
}
if( catalog[ i , 'panel' ] == 2014 ){
# loop through each core wave..
if ( grepl( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/pu2014w" , catalog[ i , 'full_url' ] , fixed = TRUE ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
fix.ahiehi( fix.ct( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/pu2014w1.sas" ) ) ,
beginline = 5 ,
zipped = TRUE ,
tl = TRUE ,
na_strings = "." ,
tablename = catalog[ i , 'db_tablename' ] ,
unzip_fun = unarchive_nicely ,
connection = db
)
}
# loop through each replicate weight wave..
if ( grepl( "https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/rw14w" , catalog[ i , 'full_url' ] , fixed = TRUE ) ){
# add the core wave to the database in a table w#
read_SAScii_monetdb (
catalog[ i , 'full_url' ] ,
fix.repwgt("https://www2.census.gov/programs-surveys/sipp/data/datasets/2014/rw14wx_sas.txt") ,
beginline = 2 ,
zipped = TRUE ,
tl = TRUE ,
tablename = catalog[ i , 'db_tablename' ] ,
unzip_fun = unarchive_nicely ,
connection = db
)
}
}
catalog[ i , 'case_count' ] <- DBI::dbGetQuery( db , paste( 'select count(*) from' , catalog[ i , 'db_tablename' ] ) )
stopifnot( catalog[ i , 'case_count' ] > 0 )
# delete the temporary files
suppressWarnings( file.remove( tf ) )
cat( paste0( data_name , " catalog entry " , i , " of " , nrow( catalog ) , " stored in '" , catalog[ i , 'db_tablename' ] , "' table of " , catalog[ i , 'dbfile' ] , "'\r\n\n" ) )
}
DBI::dbDisconnect( db , shutdown = TRUE )
on.exit()
catalog
}
##############################################################################
# function to fix sas input scripts where census has the incorrect column type
fix.ahiehi <-
function( sasfile ){
sas_lines <- readLines( sasfile )
ahi_line <- which( sas_lines == "AHI1WHO 6923 - 6923" )
ehi_line <- which( sas_lines == "EHI2WHO5 6922 - 6922" )
seq_lines <- seq( length( sas_lines ) )
seq_lines[ ahi_line ] <- ehi_line
seq_lines[ ehi_line ] <- ahi_line
sas_lines <- sas_lines[ seq_lines ]
# create a temporary file
tf <- tempfile()
# write the updated sas input file to the temporary file
writeLines( sas_lines , tf )
# return the filepath to the temporary file containing the updated sas input script
tf
}
##############################################################################
##############################################################################
# function to fix sas input scripts where census has the incorrect column type
fix.ct <-
function( sasfile ){
sas_lines <- readLines( sasfile )
# ssuid should always be numeric (it's occasionally character)
sas_lines <- gsub( "SSUID \\$" , "SSUID" , sas_lines )
# ctl_date and lgtwttyp contain strings not numbers
sas_lines <- gsub( "CTL_DATE" , "CTL_DATE $" , sas_lines )
sas_lines <- gsub( "LGTWTTYP" , "LGTWTTYP $" , sas_lines )
# create a temporary file
tf <- tempfile()
# write the updated sas input file to the temporary file
writeLines( sas_lines , tf )
# return the filepath to the temporary file containing the updated sas input script
tf
}
##############################################################################
###################################################################################
# function to fix sas input scripts where repwgt values are collapsed into one line
# (the SAScii function cannot currently handle this SAS configuration on its own
fix.repwgt <-
function( sasfile ){
sas_lines <- readLines( sasfile )
# identify the line containing REPWGT
rep.position <- grep( "REPWGT" , sas_lines )
# look at the line directly above it..
line.above <- strsplit( sas_lines[ rep.position - 1 ] , "-" )[[1]]
# ..and figure out what position it ends at
end.position <- as.numeric( line.above[ length( line.above ) ] )
# start with a line containing ()
j <- sas_lines[ rep.position ]
# courtesy of this discussion on stackoverflow.com
# http://stackoverflow.com/questions/8613237/extract-info-inside-all-parenthesis-in-r-regex
# break it into two strings without the ()
k <- gsub(
"[\\(\\)]",
"" ,
regmatches(
j ,
gregexpr(
"\\(.*?\\)" ,
j
)
)[[1]]
)
# number of repweights
l <- as.numeric( gsub( "REPWGT1-REPWGT" , "" , k )[1] )
# length of repweights (assumes no decimals!)
m <- as.numeric( k[2] )
# these should start at the end position (determined above) plus one
start.vec <- ( end.position + 1 ) + ( m * 0:( l - 1 ) )
end.vec <- ( end.position ) + ( m * 1:l )
# vector of all repweight lines
repwgt.lines <-
paste0( "REPWGT" , 1:l , " " , start.vec , "-" , end.vec )
# collapse them all together into one string
repwgt.line <- paste( repwgt.lines , collapse = " " )
# finally replace the old line with the new line in the sas input script
sas_lines <- gsub( j , repwgt.line , sas_lines , fixed = TRUE )
# create a temporary file
tf <- tempfile()
# write the updated sas input file to the temporary file
writeLines( sas_lines , tf )
# return the filepath to the temporary file containing the updated sas input script
tf
}
##################################################################################
##################################################################################
# sas importation scripts with an `SUID` column near the end
# are incorrect. the census bureau just left them in,
# and the SAScii package won't just throw 'em out for ya.
# so throw out the non-public lines manually.
chop.suid <-
function( sf ){
# create a temporary file
tf <- tempfile()
# read the sas lines into memory
sl <- readLines( sf )
# figure out the position of the `suid` variable..
where.to.chop <- which( grepl( 'suid' , tolower( sl ) ) & !grepl( 'ssuid' , tolower( sl ) ) )
# if it exists..
if( length( where.to.chop ) > 0 ){
# find all semicolons in the document..
semicolons <- grep( ';' , sl )
# ..now, more precisely, find the first semicolon after the chop-line
end.of.chop <- min( semicolons[ semicolons > where.to.chop ] ) - 1
# remove non-public lines
sl <- sl[ -where.to.chop:-end.of.chop ]
}
# write the sas import script to the text file..
writeLines( sl , tf )
# ..and return the position of the text file on the local disk.
tf
}
##################################################################################
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