Last active
January 14, 2021 04:32
-
-
Save markdanese/19f7394d553a7ac98da2 to your computer and use it in GitHub Desktop.
An R script to download the Medicare SynPUF (synthetic public use files)
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# main web page: "https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs/DESample01.html" | |
# list of files to be downloaded for each 1/20 of the data | |
dl_list <- | |
c( | |
"https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs/Downloads/DE1_0_2008_Beneficiary_Summary_File_Samplezzz.zip", | |
"http://downloads.cms.gov/files/DE1_0_2008_to_2010_Carrier_Claims_SamplezzzA.zip", | |
"http://downloads.cms.gov/files/DE1_0_2008_to_2010_Carrier_Claims_SamplezzzB.zip", | |
"https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs/Downloads/DE1_0_2008_to_2010_Inpatient_Claims_Samplezzz.zip", | |
"https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs/Downloads/DE1_0_2008_to_2010_Outpatient_Claims_Samplezzz.zip", | |
"http://downloads.cms.gov/files/DE1_0_2008_to_2010_Prescription_Drug_Events_Samplezzz.zip", | |
"https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs/Downloads/DE1_0_2009_Beneficiary_Summary_File_Samplezzz.zip", | |
"https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs/Downloads/DE1_0_2010_Beneficiary_Summary_File_Samplezzz.zip" | |
) | |
local_path <- "your/download/path/here" # specifies where the downloaded file should be saved | |
# loop to download files ------------------------------------------------------------ | |
for(i in 1:20) { | |
r <- paste0("_", i) | |
dl <- gsub("zzz", r, dl_list) | |
for(j in seq_along(dl)){ | |
download_path <- paste0(local_path, basename(dl[[j]])) | |
download.file(dl[[j]], download_path, method = "libcurl") # you might need to change method, especially on windows | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
This took 50 minutes to download on my macbook over a FIOS (fiber optic) connection.