Importing ASCII format data from the American National Election Study

The following makes use of the memisc package. You may need to install it from CRAN using the code install.packages("memisc") if you want to run this on your computer. (The package is already installed on the notebook container, however.)


library(memisc)
Loading required package: lattice

Loading required package: MASS


Attaching package: ‘memisc’


The following objects are masked from ‘package:stats’:

    contr.sum, contr.treatment, contrasts


The following object is masked from ‘package:base’:

    as.array


This data file is available from the American National Election Study website, along with syntax files in which the structure of the data is declared, as well as the variable lables (descriptions), value labels, and missing values. In order to obtain these data files (and run the notebook successufully), you need to download them from the ANES website for 2008 and upload them to the virtual machine that runs this notebook. To do this,

  1. pull down the “File” menu item and select “Open”
  2. An overview of the folder that contains the notebook opens.
  3. The folder view has a button labelled “Upload”. Use this to upload the file that you downloaded from the ANES website.

Note that the uploaded data will disappear, once you “Quit” the notebook (and the Jupyter instance).


# Note that the following code takes quite a while ...
anes2008TS <- spss.fixed.file(
                  "anes2008TS_dat.txt",
                  columns.file = "anes2008TS_col.sps",
                  varlab.file  = "anes2008TS_lab.sps",
                  codes.file   = "anes2008TS_cod.sps",
                  missval.file = "anes2008TS_md.sps")

description(anes2008TS[1:30])

 V080001  'ID.1. CASE ID'
 V080101  'WT.1. PRE CROSS-SECTION SAMPLE WEIGHT - POST-STRAT, centered'
 V080101a 'WT.1. PRE CROSS-SECTION SAMPLE WEIGHT - POST-STRATIFIED'
 V080102  'WT.2. POST CROSS-SECTION SAMPLE WEIGHT -POST-STRAT, centered'
 V080102a 'WT.2a. POST CROSS-SECTION SAMPLE WEIGHT -POST-STRATIFIED'
 V080103  'WT.3. HOUSEHOLD WEIGHT: Household post-stratified'
 V081001  'STUDY.1. Waves completed by respondent'
 V081101  'HHList.1. Respondent: gender'
 V081102  'HHList.2. Respondent: race'
 V081103  'HHList.3. Respondent: Latino status'
 V081103a 'HHList.3a. Respondent: race and Latino status'
 V081104  'HHList.4. Respondent: age'
 V081105  'HHList.5. RESTRICTED: Respondent: relationship to informant'
 V081106  'HHList.6. Respondent: eligible adult number'
 V081107  'HHList.7. TOTAL IN HH: PERSONS (ADULTS AND CHILDREN)'
 V081108  'HHList.8. TOTAL IN HH: ADULTS (18 BY OCT30)'
 V081108a 'HHList.8a. TOTAL IN HH: ELIGIBLE ADULTS'
 V081108b 'HHList.8b. TOTAL IN HH:INELIGIBLE ADULTS (18 BY OCT30)'
 V081108c 'HHList.8c. TOTAL IN HH: FEMALE ELIGIBLE ADULTS (18 BY OCT30)'
 V081108d 'HHList.8d. TOTAL IN HH: MALE ELIGIBLE ADULTS (18 BY OCT30)'
 V081108e 'HHList.8e. TOTAL IN HH: LATINO ELIGIBLE ADULTS (18 BY OCT30)'
 V081108f 'HHList.8f. TOTAL IN HH: BLACK ELIGIBLE ADULTS (18 BY OCT30)'
 V081108g 'HHList.8g. TOTAL IN HH: WHITE ELIGIBLE ADULTS (18 BY OCT30)'
 V081108h 'HHList.8h. TOTAL IN HH: MIXED/OTH RACE ELIG ADULTS'
 V081109  'HHList.9. TOTAL IN HH: CHILDREN UNDER 18 (NOT 18 BY OCT30)'
 V081109a 'HHList.9a. TOTAL IN HH: CHILDREN UNDER 17'
 V081109b 'HHList.9b. TOTAL IN HH: CHLDREN 17 YRS OLD, NOT 18 BY OCT30'
 V081110  'HHList.10. HOUSEHOLD COMPOSITION'
 V081111a 'HHList.11a. ELIGIBLE PERSON #1: gender'
 V081111b 'HHList.11b. ELIGIBLE PERSON #1: race'

Downloadable R script and interactive version

Explanation

The link with the “jupyterhub” icon directs you to an interactive Jupyter1 notebook, which runs inside a Docker container2. There are two variants of the interative notebook. One shuts down after 60 seconds and does not require a sign it. The other requires sign in using your ORCID3 credentials, yet shuts down only after 24 hours. (There is no guarantee that such a container persists that long, it may be shut down earlier for maintenance purposes.) After shutdown all data within the container will be reset, i.e. all files created by the user will be deleted.4

Above you see a rendered version of the Jupyter notebook.5

1

For more information about Jupyter see http://jupyter.org. The Jupyter notebooks make use of the IRKernel package.

2

For more information about Docker see https://docs.docker.com/. The container images were created with repo2docker, while containers are run with docker spawner.

3

ORCID is a free service for the authentication of researchers. It also allows to showcase publications and contributions to the academic community such as peer review.. See https://info.orcid.org/what-is-orcid/ for more information.

4

The Jupyter notebooks come with NO WARRANTY whatsoever. They are provided for educational and illustrative purposes only. Do not use them for production work.

5

The notebook is rendered with the help of the nbsphinx extension.