Browse elements for description

Description

Browse elements for description

Usage

browse_elements(pattern)

Arguments

Value

A data.table of all element-long name combinations matching the perl regular expression.

Examples

browse_elements(c("ProViDer", "Maj"))

Decode HEIMS elements

Description

Decode HEIMS elements

Usage

decode_heims(DT, show_progress = FALSE, check_valid = TRUE, selector)

Arguments

Details

Each variable in DT is validated according heims_data_dict before being decoded. Any failure stops the validation.

If DT has a key, the output will have a key, but set on the decoded columns and the ordering will most likely change (to reflect the decoded values).

This function will, on the full HEIMS data, take a long time to finish. Typically in the order of 10 minutes for the enrol file.

Value

DT with the values decoded and the names renamed.

Examples

## Not run: 
# (E488 is made up so won't work if validation is attempted.)
decode_heims(dummy_enrol)

## End(Not run)
decode_heims(dummy_enrol, show_progress = TRUE, check_valid = FALSE)

Decoders

Description

Decoders

Usage

E089_decoder

E095_decoder

E306_decoder

E310_decoder

E312_decoder

E316_decoder

E329_decoder

E327_decoder

E330_decoder

E331_decoder

E337_decoder

E346_decoder

E348_decoder

E355_decoder

E358_decoder

E386_decoder

E392_decoder

E461_decoder

E463_decoder

E464_decoder

E490_decoder

U490_decoder

E551_decoder

E562_decoder

E919_decoder

E920_decoder

E922_decoder

FOE_uniter

HE_Provider_decoder

Format

An object of class data.table (inherits from data.frame) with 2 rows and 2 columns.

Dummy enrolment file

Description

A data.table of five fictitious enrolments.

Usage

dummy_enrol

Format

An object of class data.table (inherits from data.frame) with 5 rows and 56 columns.

Make HEIMS element nos human-readable

Description

Make HEIMS element nos human-readable

Usage

rename_heims(DT)

element2name(v)

Arguments

Details

See heims_data_dict. Note that decode_heims is generally better, as it decodes the variable if a decoder is present in the dictionary.

element2name is the inverse of browse_elements: given an element like E306, it returns the name (HE_Provider_cd.)

Value

DT with the new names or the vector with the names translated.

Validate HEIMS elements

Description

Return TRUE or FALSE on whether or not each variable in a data.table complies with the HEIMS code limits

Usage

validate_elements(DT, .progress_cat = FALSE)

prop_elements_valid(DT, char = FALSE)

count_elements_invalid(DT, char = FALSE)

Arguments

Details

For early detection of invalid results, the type of the variable (in particular integer vs double) is considered first, vetoing a TRUE result if different.

Value

A named logical vector, whether or not the variable complies with the style requirements. A value of NA indicates the variable was not checked (perhaps because it is absent from heims_data_dict).

Examples

X <- data.frame(E306 = c(0, 1011, 999, 9998))
validate_elements(X)  # FALSE
prop_elements_valid(X)
X <- data.frame(E306 = as.integer(c(0, 1011, 999, 9998)))
validate_elements(X)  # TRUE

First levels

Description

See relevel_heims.

Usage

first_levels

Format

An object of class data.table (inherits from data.frame) with 8 rows and 2 columns.

Read raw HEIMS file

Description

Read raw HEIMS file

Usage

fread_heims(filename)

Arguments

Details

The strings "" "NA" "?" "." "*" "**" are treated as missing, as well as ZZZZZZZZZZ (so students without a CHESSN will be marked with the integer64 missing value).

Value

A data.table with column names in ascending (lexicographical) order and any columns starting with e will be uppercase.

HEIMS data dictionary

Description

HEIMS data dictionary

Usage

heims_data_dict

Format

A named list each containing 5 elements:

long_name

a human-readable version of the variable; orig_name the element number;

mark_missing

a vectorized-function returning TRUE on values of the variable which should be coded as NA;

ad_hoc_prepare

a function to apply before validation;

validate

a single-value function returning TRUE or FALSE on vectors which comply with the variable's coding rules.

ad_hoc_validation_note

If the data dictionary did not cover elements in the file, how the validate function was altered to suffer them.

valid

a vectorized function returning TRUE or FALSE on vectors which do not comply with the variable's coding rules.

decoder

A function of the data.table decoding the variable decoded.

post_fst

A function of the data.table returned by fst to be used (for example to reset attributes).

Details

Abbreviations in long_name:

amt

Amount

cd

Code

det

Detail(s)

FOE

Field of education

Maj

Major

Source

http://heimshelp.education.gov.au/sites/heimshelp/dictionary/pages/data-element-dictionary

Read HEIMS data from decoded fst files

Description

Read HEIMS data from decoded fst files

Usage

read_heims_fst(filename)

Arguments

Value

A data.table with appropriate attributes.

Relevel categorical variables

Description

Changes categorical variables in a data.table to levels with a sensible reference level

Usage

relevel_heims(DT)

Arguments

Value

The same data.table with character vectors changed to factors whose first level is the level intended.

Utility functions

Description

Only included here because of the unusual nature of heims_data_dict.

Usage

AND()

OR()

never(v)

every(v)

always(v)

is.Date(v)

is.YearMonth(v)

nth_digit_of(x, n)

between(...)

or(...)

and(...)

if_else(...)

coalesce(...)

a %fin% tbl

rm_leading_0s(v)

as.integer64(v)

is.integer64(v)

force_integer(v)

ymd(...)

Arguments

Details

nth_digit_of returns the nth digit of the number starting from the units and going up in magnitude.

Examples

nth_digit_of(503, 1) == 1