Subset a CIP data frame, retaining rows that match or partially match a vector of character strings. Columns are not subset unless selected in an optional argument.
Arguments
- keep_text
Character vector of search text for retaining rows, not case-sensitive. Can be empty if
drop_textis used.- ...
Not used for passing values; forces subsequent arguments to be referable only by name.
- drop_text
Optional character vector of search text for dropping rows, default NULL.
- cip
Data frame to be searched. Default
cip.- select
Optional character vector of column names to return, default all columns.
Value
A data frame in data.table format, a subset of cip,
with the following properties: exclude rows that match
elements of drop_text; of the remaining rows, include those that
match elements of keep_text; if select is empty, all columns are
preserved, otherwise only columns included in select are retained;
grouping structures are not preserved.
Details
Search terms can include regular expressions. Uses grepl(), therefore
non-character columns (if any) that can be coerced to character are also
searched for matches. Columns are subset by the values in select after the
search concludes.
If none of the optional arguments are specified, the function returns the original data frame.
Examples
# Subset using keywords
filter_cip(keep_text = "engineering")
#> cip2 cip2name cip4
#> <char> <char> <char>
#> 1: 14 Engineering 1401
#> 2: 14 Engineering 1401
#> 3: 14 Engineering 1402
#> 4: 14 Engineering 1403
#> 5: 14 Engineering 1404
#> ---
#> 115: 15 Engineering Technology 1516
#> 116: 15 Engineering Technology 1599
#> 117: 29 Military Technologies 2903
#> 118: 29 Military Technologies 2903
#> 119: 51 Health Professions and Related Clinical Sciences 5123
#> cip4name cip6
#> <char> <char>
#> 1: Engineering, General 140101
#> 2: Engineering, General 140102
#> 3: Aerospace, Aeronautical and Astronautical Engineering 140201
#> 4: Agricultural, Biological Engineering and Bioengineering 140301
#> 5: Architectural Engineering 140401
#> ---
#> 115: Nanotechnology 151601
#> 116: Engineering-Related Technologies, Technicians, Other 159999
#> 117: Military Applied Sciences 290301
#> 118: Military Applied Sciences 290303
#> 119: Rehabilitation and Therapeutic Professions 512312
#> cip6name
#> <char>
#> 1: Engineering, General
#> 2: Pre-Engineering
#> 3: Aerospace, Aeronautical and Astronautical, Space Engineering
#> 4: Agricultural, Biological Engineering and Bioengineering
#> 5: Architectural Engineering
#> ---
#> 115: Nanotechnology
#> 116: Engineering Related Technologies, Technicians, Other
#> 117: Combat Systems Engineering
#> 118: Engineering Acoustics
#> 119: Assistive, Augmentative Technology and Rehabiliation Engineering
# \donttest{
# Multiple passes to narrow the results
first_pass <- filter_cip("civil")
second_pass <- filter_cip("engineering", cip = first_pass)
filter_cip(drop_text = "technology", cip = second_pass)
#> cip2 cip2name cip4 cip4name cip6
#> <char> <char> <char> <char> <char>
#> 1: 14 Engineering 1408 Civil Engineering 140801
#> 2: 14 Engineering 1408 Civil Engineering 140802
#> 3: 14 Engineering 1408 Civil Engineering 140803
#> 4: 14 Engineering 1408 Civil Engineering 140804
#> 5: 14 Engineering 1408 Civil Engineering 140805
#> 6: 14 Engineering 1408 Civil Engineering 140899
#> cip6name
#> <char>
#> 1: Civil Engineering, General
#> 2: Geotechnical Engineering
#> 3: Structural Engineering
#> 4: Transportation and Highway Engineering
#> 5: Water Resources Engineering
#> 6: Civil Engineering, Other
# drop_text argument, when used, must be named
filter_cip("civil engineering", drop_text = "technology")
#> cip2 cip2name cip4 cip4name cip6
#> <char> <char> <char> <char> <char>
#> 1: 14 Engineering 1408 Civil Engineering 140801
#> 2: 14 Engineering 1408 Civil Engineering 140802
#> 3: 14 Engineering 1408 Civil Engineering 140803
#> 4: 14 Engineering 1408 Civil Engineering 140804
#> 5: 14 Engineering 1408 Civil Engineering 140805
#> 6: 14 Engineering 1408 Civil Engineering 140899
#> cip6name
#> <char>
#> 1: Civil Engineering, General
#> 2: Geotechnical Engineering
#> 3: Structural Engineering
#> 4: Transportation and Highway Engineering
#> 5: Water Resources Engineering
#> 6: Civil Engineering, Other
# Subset using numerical codes
filter_cip(keep_text = c("050125", "160501"))
#> cip2 cip2name cip4
#> <char> <char> <char>
#> 1: 05 Area, Ethnic, Cultural and Gender and Group Studies 0501
#> 2: 16 Foreign Languages, Literatures and Linguistics 1605
#> cip4name cip6
#> <char> <char>
#> 1: Area Studies 050125
#> 2: Germanic Languages, Literatures Linguistics 160501
#> cip6name
#> <char>
#> 1: German Studies
#> 2: German Language and Literature
# Subset using regular expressions
filter_cip(keep_text = "^54")
#> cip2 cip2name cip4 cip4name cip6
#> <char> <char> <char> <char> <char>
#> 1: 54 History 5401 History 540101
#> 2: 54 History 5401 History 540102
#> 3: 54 History 5401 History 540103
#> 4: 54 History 5401 History 540104
#> 5: 54 History 5401 History 540105
#> 6: 54 History 5401 History 540106
#> 7: 54 History 5401 History 540107
#> 8: 54 History 5401 History 540108
#> 9: 54 History 5401 History 540199
#> cip6name
#> <char>
#> 1: History, General
#> 2: American History (United States)
#> 3: European History
#> 4: History and Philosophy of Science and Technology
#> 5: Public, Applied History and Archival Administration
#> 6: Asian History
#> 7: Canadian History
#> 8: Military History
#> 9: History, Other
filter_cip(keep_text = c("^1407", "^1408"))
#> cip2 cip2name cip4 cip4name cip6
#> <char> <char> <char> <char> <char>
#> 1: 14 Engineering 1407 Chemical Engineering 140701
#> 2: 14 Engineering 1407 Chemical Engineering 140702
#> 3: 14 Engineering 1407 Chemical Engineering 140799
#> 4: 14 Engineering 1408 Civil Engineering 140801
#> 5: 14 Engineering 1408 Civil Engineering 140802
#> 6: 14 Engineering 1408 Civil Engineering 140803
#> 7: 14 Engineering 1408 Civil Engineering 140804
#> 8: 14 Engineering 1408 Civil Engineering 140805
#> 9: 14 Engineering 1408 Civil Engineering 140899
#> cip6name
#> <char>
#> 1: Chemical Engineering
#> 2: Chemical and Biomolecular Engineering
#> 3: Chemical Engineering, Other
#> 4: Civil Engineering, General
#> 5: Geotechnical Engineering
#> 6: Structural Engineering
#> 7: Transportation and Highway Engineering
#> 8: Water Resources Engineering
#> 9: Civil Engineering, Other
# Select columns
filter_cip(keep_text = "^54", select = c("cip6", "cip4name"))
#> cip6 cip4name
#> <char> <char>
#> 1: 540101 History
#> 2: 540102 History
#> 3: 540103 History
#> 4: 540104 History
#> 5: 540105 History
#> 6: 540106 History
#> 7: 540107 History
#> 8: 540108 History
#> 9: 540199 History
# }