injuries: National Electronic Injury Surveillance System
In hadley/neiss: Data from National Electronic Injury Surveillance System
Description
Usage
Format
Source
Description
The NEISS is a probability sample of hospital emergency departments in the
United States and its territories. This data set contains data from
last five years.
Usage
1
Format
A data frame with 2,332,957 rows and 18 variables:
- case_num
A unique identifer for each case
- trmt_date
Date of treatment
- psu
Primary sampling unit (hospital) identifier
- weight
Weights adjusted for non-response, hospitals mergers and
changes in sampling frame. Sum these weights to get national estimate.
- stratum
- age
Age. Rounded to nearest month if under than 2, otherwise
rounded to nearest year
- sex
Sex: male, female, or unknown.
- race
7-level race
- race_other
Optional free form text for other races
- diag
Diagnosis code. If multiple diagnoses, this is the most severe
- diag_other
Free text for "other" diagnoses
- body_part
Most seriously injured body part
- disposition
Final disposition of case after university visit
- location
Locale where injury occurred.
- fmv
Fire department involvement
- prod1,prod2
Consumer product codes. Order is not important.
- narrative
Description of what victim was doing, products involved,
and locale of the incident (all upper case).
Source
http://www.cpsc.gov/en/Research–Statistics/NEISS-Injury-Data/
hadley/neiss documentation built on May 17, 2019, 11:04 a.m.
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Description Usage Format Source
Description
The NEISS is a probability sample of hospital emergency departments in the United States and its territories. This data set contains data from last five years.
Usage
1 |
Format
A data frame with 2,332,957 rows and 18 variables:
- case_num
A unique identifer for each case
- trmt_date
Date of treatment
- psu
Primary sampling unit (hospital) identifier
- weight
Weights adjusted for non-response, hospitals mergers and changes in sampling frame. Sum these weights to get national estimate.
- stratum
- age
Age. Rounded to nearest month if under than 2, otherwise rounded to nearest year
- sex
Sex: male, female, or unknown.
- race
7-level race
- race_other
Optional free form text for other races
- diag
Diagnosis code. If multiple diagnoses, this is the most severe
- diag_other
Free text for "other" diagnoses
- body_part
Most seriously injured body part
- disposition
Final disposition of case after university visit
- location
Locale where injury occurred.
- fmv
Fire department involvement
- prod1,prod2
Consumer product codes. Order is not important.
- narrative
Description of what victim was doing, products involved, and locale of the incident (all upper case).
Source
http://www.cpsc.gov/en/Research–Statistics/NEISS-Injury-Data/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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