Catalog of every column cleangrowth() can return, the
option(s) that turn each column on, and the values each column can take.
Exclusion-code text values (the contents of exclude,
bin_exclude, tri_exclude, and the SDE labels
of cf_status) are listed in their canonical reference and
only summarized here.
Single source of truth for exclusion codes:
vignette("exclusion-codes").
Code truth. The authoritative output-column assembly
is at the bottom of cleangrowth() in
R/child_clean.R: bin/tri derivation, cf_status
NA fill, corr_val/corr_pt construction,
unit_error_range flag, gc_internal_id snapshot
+ user-id restoration, the keep_cols trim, and
the rename pass that restores the user’s column names. The
id contract itself is implemented at entry
(user_id_orig snapshot + id_was_regened flag)
and consumed at the trim above.
Requested columns are always returned. Every column
an option turns on is present in the output whenever that option is set,
whatever ages the data contain. Adult-only input still returns the
child-only columns (for example cf_detail,
qm_detail, recenter_detail, and the
debug z-scores), filled with the values adult rows get in
mixed data: cf_status is "Adult" and the other
child-only columns are NA. Column names, order, and types
are the same as for mixed input.
Which algorithm cleaned a row. Rows with
agedays >= adult_cutpoint * 365.25 are cleaned by the
adult algorithm and the rest by the child algorithm. The output shows
this in the -C- (child) / -A- (adult) marker
in most Detailed codes (§1b; vignette("exclusion-codes"),
“Output levels”) and in the "Adult" label in
cf_status (§4) and corr_val /
corr_pt (§5).
Column-name preservation. The six data columns
(id, subjid, param,
agedays, sex, measurement) are
renamed in the output to match whatever name the user supplied (via the
data-frame–style column-name arguments, or — for the vector style —
derived from the call expression). The canonical names below are the
defaults; user-supplied names are passed through unchanged.
Note on quality-measure (QM) code. growthcleanr contains a small amount of code that computes eligibility values for a related package in development that would calculate data-quality measures. This code is mentioned in the technical documentation only to explain its presence; it is not used in cleaning and never affects any exclusion. Sections describing it are marked “For a related package in development — not used in cleaning.” These values are off by default and are not part of
full_detail; if you want to inspect them, setqm_detail = TRUE(see §5c below).
1. Standard output (always returned)
Eight columns, returned regardless of options. With
unit_error_range (on by default; see §2), a default run
returns nine, or ten when the data has adult rows (mean_ht;
see §6c).
Output fidelity. The data columns echoed from input —
id,subjid,param,agedays,sex,measurement— carry the user’s verbatim submitted values; gc never silently alters or drops an input value. Where gc must reinterpret a value to run the algorithm (imperial → metric,LENGTHCM→HEIGHTCM, fractionalagedays→ whole days,sex→0/1/NA,measurement0→NaN), that reinterpretation is internal-only; the submitted value is what comes back. gc’s interpretedsexis separately available asgc_internal_sex(§7). A value gc cannot use (uninterpretable sex,0/negative measurement) is flaggedExclude-Missing-Infobut still returned as submitted. Columns come back under the user’s own names, and a column with the user’s name holds only the user’s values: a user column is renameduserinput_<name>(with a warning) only when its name matches a column growthcleanr returns in that run, for exampleexcludewhen re-cleaning growthcleanr output.
Caveat — opening output CSVs in a spreadsheet. Because identifier columns are echoed verbatim, a value that begins with
=,+,-, or@(for example asubjidoridliterally recorded as=FOO) is written to the output CSV unchanged. Spreadsheet programs (Excel, LibreOffice, Google Sheets) may interpret such a leading character as a formula when the file is opened directly — a general property of CSV files (“CSV injection”), not specific to growthcleanr. This applies to every gc surface that writes a CSV: the command-line driver, the template script, and the Shiny app’s CSV download. growthcleanr does not neutralize these cells, precisely because doing so would violate the verbatim-output contract above. If the output will be opened in a spreadsheet and you do not fully trust the identifier values, import the CSV as text (the spreadsheet’s “import”/“get data” path, choosing text columns) rather than double-clicking it, or read it with R/Python/a database, which are unaffected.
| Column | Type | Values |
|---|---|---|
id |
as supplied (any) | The user’s original row identifier, returned exactly as
supplied — including NAs and duplicates — under
the user’s own column name. id is fully optional; when it
is absent / NULL / NA / non-unique, gc issues
a warning and auto-generates sequential integer ids 1:N (in
input row order) for internal use, but when an id was supplied the
output keeps the caller’s values so results can still be mapped back to
the input rows. When no id was supplied (long input), the output
id column holds the generated 1:N. A unique
per-row id (not per-subject or per-encounter) is recommended for stable,
traceable output. To see the id gc actually used internally, request
gc_internal_id (see §6). Note: the incremental-run
wrapper gc_partial_run() orders its output by
id (not input row order) and requires a unique, stable
id; see ?gc_partial_run. For semi-wide/wide
input returned as long output, your id (if any) comes back under your
own column name, repeated on each measurement from that input row, and
growthcleanr’s per-measurement number is in gc_internal_id;
with no id column there is no id column. The
subjid, sex and agedays columns
come back under your own column names (for wide input, your age prefix),
as in long input. |
subjid |
as supplied | Subject identifier, passed through unchanged. |
param |
as supplied | The param exactly as submitted —
WEIGHTLBS / HEIGHTIN / LENGTHCM
are returned unchanged, not relabeled. gc converts imperial → metric and
relabels LENGTHCM → HEIGHTCM
internally for the algorithm, but the output preserves the
user’s submission (output fidelity). |
agedays |
as supplied | Age in days at measurement, passed through unchanged (including its
type, e.g. text or a time difference). Cleaning uses whole days (a
fractional age such as 1435.4 is cleaned as day 1435), but the submitted
value is what comes back; the whole-day value is
gc_internal_agedays (§6b). On the date route with no age
column, this column holds the ages growthcleanr computed. With
age_source = "dates" and an age column present, your age
column comes back unchanged under its own name and the computed ages are
returned as gc_internal_agedays (no switch needed). |
sex |
as supplied | Sex exactly as submitted — the verbatim value
(0/1, "m"/"M",
"f"/"F", or any uninterpretable code such as
"U"/9). gc coerces this to an integer
(0 = male, 1 = female, else NA)
internally for the algorithm; that interpreted value is
surfaced as gc_internal_sex (§7) under
internal_detail, debug, or
full_detail. An uninterpretable sex routes the row to
Exclude-Missing-Info but the submitted value is still
returned here. |
measurement |
as supplied | The measurement value exactly as submitted —
including a submitted 0 (returned as 0, not
NaN), original imperial units, and its type: a text or
factor column comes back as text or a factor (e.g. "12.50"
stays "12.50", and a value that is not a number comes back
as entered). For semi-wide/wide input with long output, values from a
factor column are taken by their labels, and if the value columns are of
different types (e.g. one text, one numeric) the combined column is
text. gc’s internal working value (imperial → metric; 0 →
NaN for missingness) is used only inside the algorithm and
is not surfaced. A 0 (or negative) measurement routes the
row to Exclude-Missing-Info but the submitted value is
still returned. |
exclude |
factor | The Summary exclusion code (or
"Include"). 14 consolidated codes spanning child + adult.
Full catalog, levels, and the Detailed crosswalk:
vignette("exclusion-codes"). The step-level
Detailed code is available in
exclude_detailed (§1b). |
bin_exclude |
character |
"Include" or "Exclude" — collapses every
non-Include exclude code (including SDE codes and
Exclude-Missing-Info /
Exclude-HC-Out-of-Range) to "Exclude". |
1b. exclude_detailed (when
exclude_detail = TRUE or
full_detail = TRUE)
| Column | Type | Values |
|---|---|---|
exclude_detailed |
factor | The Detailed exclusion code (or
"Include"). Step-level; keeps the child (-C-)
/ adult (-A-) algorithm prefix; folds away the
repeated-value (RV / firstRV / allRV), -All, and
round-iteration distinctions. Every Detailed code maps to exactly one
Summary exclude code. Shared “for all” codes
(Exclude-Identical, Exclude-Extraneous,
Exclude-Missing-Info, Exclude-HC-Out-of-Range,
Exclude-Not-GC-Param) carry no prefix at any level. Full
catalog and Detailed→Summary crosswalk:
vignette("exclusion-codes"). |
2. unit_error_range (on by default; set
unit_error_range = FALSE to omit)
Informational only — never affects exclude and is not in
exclude.levels. Not included in
full_detail; it has its own default-on switch. Real values
from people with atypical growth (for example, extremely premature
infants, severe obesity, some medical conditions) can fall in the
unit-error range.
| Column | Type | Values |
|---|---|---|
unit_error_range |
logical |
TRUE when the value’s magnitude is consistent with a
metric/imperial unit-conversion error AND the value is not within the
plausible z = −3 to +3 band; FALSE otherwise.
FALSE on rows that were not cleaned
(Exclude-Missing-Info,
Exclude-HC-Out-of-Range,
Exclude-Not-GC-Param), on rows with missing age, and on any
row without a z3 lookup. Child z3 cutoffs come from
inst/extdata/child_z3_reference.csv.gz; adult cutoffs from
the embedded NHANES CSD reference. |
3. tri_exclude (when tri_exclude = TRUE or
full_detail = TRUE)
| Column | Type | Values |
|---|---|---|
tri_exclude |
character |
"Include", "Same-Day", or
"Exclude". "Same-Day" covers the
same-day-extraneous codes — the shared Exclude-Identical /
Exclude-Extraneous (which consolidate the former child
Exclude-C-Identical/Exclude-C-Extraneous and
adult
Exclude-A-Identical/Exclude-A-Extraneous);
everything else non-Include is "Exclude". |
4. cf_detail (when cf_detail = TRUE or
full_detail = TRUE)
Six columns describing carried-forward (CF) detection and rescue
(Child Step 6). Adult rows are labeled "Adult" (in
cf_status) and NA in the other columns. The
last three (imperial, cf_dage_orig,
cf_dage_next) are design aids for CF-logic development.
| Column | Type | Values |
|---|---|---|
cf_status |
character |
"Orig" (originator of a CF string), "CF-R"
(carried forward and rescued (not excluded as CF); a later step may
still exclude it), "CF-NR" (carried forward, not rescued —
Exclude-CF in exclude,
Exclude-C-CF in exclude_detailed),
"CF-E" (CF on a day that also has an Include — same-day
extraneous CF, never rescue-eligible; in cf_rescue = "all",
same-day CFs are not excluded at this step and are labelled
CF-R, with cf_deltaz NA; Child Step 13 then
chooses one value for the day, so such a row can end as
Exclude-Extraneous), "Not-CF" (no CF
relationship), or "Adult" (adult row; CF detection not
applicable). |
cf_deltaz |
numeric | Absolute uncorrected-z (sd.orig) difference between the
CF row and its originator — the value used for rescue evaluation.
NA except on carried-forward rows; also NA on
CF-E rows (they do not participate in string detection).
The whole string is decided on its last carried-forward value; values
shown on earlier rows are informational. |
cf_nextz |
numeric | Signed change in sd.orig from a CF row
(CF-R or CF-NR) to the next non-CF value that
is Included at the time of Child Step 6 (temporary same-day extraneous
values do not count). NA for non-CF rows, CF-E
rows, and when no eligible next value exists. The whole string is
decided on its last carried-forward value; values shown on earlier rows
are informational. |
imperial |
logical | Row-level whole/half imperial-unit flag: TRUE when the
value is a whole number of pounds (WEIGHTKG) or a
whole/half inch (HEIGHTCM/HEADCM), within 0.01
of the imperial unit; computed from v.orig. NA
on missing-measurement rows (v.orig is NaN)
and adult rows. |
cf_dage_orig |
integer | Day gap from a CF row’s originator to the CF row
(agedays_CF − agedays_orig; always positive). Populated for
CF-R/CF-NR rows (not same-day CFs in
cf_rescue = "all", which are labelled CF-R but
have NA); NA elsewhere
(incl. CF-E and non-CF rows). |
cf_dage_next |
numeric | Day gap from a CF row (CF-R/CF-NR) to the
next eligible non-CF Included value
(agedays_next − agedays_CF; always positive) — the agedays
analogue of cf_nextz. NA for non-CF rows,
CF-E rows, and at the end of a subject/param series. |
The current CF-rescue rule and the meaning of each of these columns
is documented in full in vignette("cf-rescue").
5. corr_detail (when corr_detail = TRUE or
full_detail = TRUE)
Two columns labeling gestational-age (GA) correction status (Child
Step 2b). A value is “Corrected” iff its GA-corrected recentered z
(ctbc.sd) differs from its uncorrected recentered z
(tbc.sd).
| Column | Type | Values |
|---|---|---|
corr_val |
character | Per-value label: "Corrected"
(ctbc.sd != tbc.sd), "Uncorrected", or
"Adult" (adult row,
i.e. agedays >= adult_cutpoint * 365.25). Child
Exclude-Missing-Info rows are "Uncorrected",
not "Adult" (age, not z-score presence, drives the
child/adult split). |
corr_pt |
character | Per-subject label: "Corrected" (the subject has ≥1
child value with corr_val == "Corrected"),
"Uncorrected", or "Adult". Constant within
subjid. |
5b. recenter_detail (when
recenter_detail = TRUE or
full_detail = TRUE)
Specialized output for a related tool in
development. The recentered CSD z-scores that the child
algorithm cleans on. These three columns are a subset of what
debug also surfaces (§7a). Child rows only — adult rows are
NA for all three.
| Column | Type | Values |
|---|---|---|
tbc.sd |
numeric | Recentered uncorrected z: sd.orig minus
rcmedian.sd. Primary z-score for most cleaning steps. |
ctbc.sd |
numeric | Recentered GA-corrected z: sd.corr minus
rcmedian.sd. Equals tbc.sd whenever
sd.corr == sd.orig (non-potcorr and reverted
potcorr subjects). |
rcmedian.sd |
numeric | The per-row recentering median subtracted to form
tbc.sd/ctbc.sd, looked up by
(param, sex, agedays) from the recentering medians in
effect (the built-in reference, a user-supplied sd.recenter
table, or zeros under sd.recenter = "none"). |
5c. qm_detail (when qm_detail = TRUE)
For a related package in development — not used in cleaning.
Per-step eligibility flags for the child cleaning
steps: ten logical columns, one per reported step, each
TRUE where the row was eligible for (in scope of)
that step — i.e. the denominator against which that step’s exclusions
are measured. Intended for eligibility-normalized quality measures: a
step’s exclusion rate is
(rows that step excluded) / (rows eligible for that step),
and a row’s exclude_detailed code already identifies which
step excluded it, so the numerator is derivable from these flags plus
exclude_detailed. The flags are write-only
— they record eligibility and never affect any exclusion decision. Child
rows only; adult rows are NA for all ten. Typically
requested together with exclude_detail = TRUE.
Two denominator conventions are used, matching what each step measures. Prevalence steps count every valid value at the step’s entry (including values that structurally could not be excluded): CF, hard-limit, and extraneous. At-risk steps count only values the step can mechanically act on: the trajectory/EWMA steps, evil twins, abs-diff, and the trajectory-endgame steps.
| Column | Step | Eligible rows |
|---|---|---|
qm_elig_c_cf |
CF rescue (Child Step 6) | prevalence: all valid values at step entry |
qm_elig_c_hardlimit |
Hard-limit / PIV (Child Step 7) | prevalence: all valid values at step entry |
qm_elig_extraneous |
Same-day extraneous (Child Step 13) | prevalence: all valid values at step entry (single-day values included) |
qm_elig_c_eviltwins |
Evil Twins (Child Step 9) | at-risk: subject-params with >= 4 eligible values |
qm_elig_c_trajextreme |
Extreme EWMA (Child Step 11) | at-risk: subject-params with >= 3 Include values (temp same-day-extraneous rows included — Step 11’s per-pass temp-SDE recalc can promote one to Include, after which a later iteration can exclude it as Traj-Extreme) |
qm_elig_c_traj |
Moderate EWMA (Child Steps 15/16) | at-risk: subject-params with >= 3 Include values (non-birth Step 15 and birth HT/HC Step 16 combined) |
qm_elig_c_absdiff |
Abs-diff (Child Step 17) | at-risk: HT/HC values in subject-params with >= 2 rows |
qm_elig_c_pair |
Pair (Child Step 19) | at-risk: both values of subject-params with exactly 2 remaining Includes |
qm_elig_c_single |
Single (Child Step 19) | at-risk: values that reached the single-value rule (entered with 1 Include, or a 2-Include pair reduced to 1 by the pair rule) |
qm_elig_c_trajuneval |
Unevaluable / error load (Child Step 21) | at-risk: Include values in subject-params with at least the error-load minimum count of errors |
6. display_gc_id (when
display_gc_id = TRUE or
full_detail = TRUE)
| Column | Type | Values |
|---|---|---|
gc_internal_id |
integer or as supplied | The id growthcleanr actually used internally: equal to the user’s
id when it was valid (no regen needed), or the
auto-generated sequential 1:N (in input row order) when the
user’s id was absent / NULL / NA
/ non-unique and gc had to regenerate. Companion to the standard
id column (§1): id preserves whatever the user
supplied (even if invalid), gc_internal_id exposes the key
gc used. Recommended whenever the input id may not be a
clean unique per-row identifier. For semi-wide or wide input returned as
long output, gc_internal_id is always returned (no switch
needed): it is growthcleanr’s per-measurement number, and your id, if
any, comes back under its own column name (§1). |
6b. internal_detail (when
internal_detail = TRUE or
full_detail = TRUE)
growthcleanr’s own working values for the key inputs the user
supplied. The primary param, measurement,
agedays, sex, and id columns
always return the verbatim submission – growthcleanr
never alters or drops an input value – so these columns are the only
view of what the algorithm actually ran on.
| Column | Type | Description |
|---|---|---|
gc_internal_meas |
numeric | The measurement growthcleanr worked from: HEIGHTIN / LENGTHIN /
HEADIN x 2.54, WEIGHTLBS / 2.2046226. Equals measurement
when no unit conversion applied. The 0.7 cm recumbent/standing offset
(length.adjust, and the default gestational-age window) is
applied only where a value is z-scored, so it is not reflected here; see
vignette("wrapper"), Phase 8. The imperial conversion is
reflected for every row (the adult algorithm applies the same factors);
the LENGTHCM relabel applies at every age (adult length is cleaned as
height). |
gc_internal_param |
character | The parameter label that goes with gc_internal_meas,
after the imperial conversion and the LENGTHCM relabel (every age).
Reading gc_internal_meas without it is a units trap. |
gc_internal_sex |
integer | The coerced sex the algorithm used (see 7c). |
gc_internal_id |
integer or as supplied | The id growthcleanr used internally (see 6). |
gc_internal_agedays |
integer | The whole-day age growthcleanr cleaned on. Equals
agedays unless a fractional age was submitted, which is
rounded down (1435.4 is cleaned as 1435; -0.5 as -1, a negative age, set
aside). Also returned without a switch when
age_source = "dates" is used with an age column present: it
then holds the ages computed from the dates, and agedays
holds your own column. |
gc_internal_dob |
Date |
The date-of-birth growthcleanr parsed, showing the interpretation it
used — including the four-digit year it resolved. Present whenever a
dob column was supplied, whether or not the dates drove
agedays (on the date route,
agedays = floor(gc_internal_visit_date - gc_internal_dob)).
Lets you audit how a non-ISO or ambiguous-order date was read. |
gc_internal_visit_date |
Date |
The parsed visit date. Present whenever a visit_date
column was supplied — including alongside an agedays column
that drives the run (e.g. supplying agedays +
visit_date to get the parsed visit date back). Independent
of gc_internal_dob: a lone visit_date yields
only this column. |
6c. mean_ht (returned by default when the data has
adult rows)
The value is always computed by the adult algorithm; this switch
controls only whether it is returned. By default the column is returned
when any row is at or above adult_cutpoint and omitted
otherwise, so child-only output has no empty column. Set
mean_ht = TRUE to always return it or
mean_ht = FALSE to omit it. It is returned in long output.
For semi-wide or wide output, name it in widened_emit to
add it beside the height values.
| Column | Type | Values |
|---|---|---|
mean_ht |
numeric |
Adult algorithm only. The mean height (cm) computed
in Adult Step 11H. The mean_ht column can be used by
researchers who want a consistent height for evaluation of body mass
index. Computed only from the subject’s finally-included
heights. Within a validated height group, all of a subject’s
height rows in that group share the group mean; otherwise it is the mean
of the subject’s included heights (see
vignette("adult-algorithm")). Populated on every
adult height row of the subject, including excluded rows: an
excluded row (or one with a missing measurement) takes the value of the
included height nearest in age (ties go to the earlier one).
NA for child rows, adult weight rows, and every height row
of a subject with no included adult height. |
7. debug (when debug = TRUE or
full_detail = TRUE)
Intermediate diagnostic columns retained for threshold refinement and
development; not intended for routine use. The z-score columns (§7a–7b)
are child-only — adult rows are NA for them — but
gc_internal_sex (§7c) applies to all rows. The columns
below are the current set.
7a. CSD z-scores
| Column | Type | Description |
|---|---|---|
sd.orig |
numeric | Raw CSD z-score from the WHO/CDC age-blend, computed at
preprocessing on the entered value plus any recumbent/standing offset.
GA correction lives in sd.corr; Child Step 2b changes
sd.orig only for gestational-age-window height rows under
the default, which it rescores 0.7 cm lower
(vignette("wrapper"), Phase 8, fact 6). |
sd.corr |
numeric | GA-corrected raw CSD z-score (Child Step 2b). For
non-potcorr subjects, equals sd.orig. For
potcorr subjects, initially set to a
gestational-age-corrected z-score via
.compute_corrected_z(); then reverted to
sd.orig for the subset whose correction is not
corroborated (neither a consistent early-weight trajectory nor a low
same-day height) — so not every potcorr subject ends with a
correction. |
tbc.sd |
numeric | Recentered uncorrected z: sd.orig minus the
population-median recentering offset. Primary z-score for most cleaning
steps. |
ctbc.sd |
numeric | Recentered GA-corrected z: sd.corr minus the same
recentering offset. Equal to tbc.sd whenever
sd.corr == sd.orig (non-potcorr subjects and
reverted potcorr subjects). |
7b. Plus/minus perturbation z-scores
Recentered z-scores recomputed under a ±5%-of-weight (WT) or ±1 cm (HT/HC) perturbation, used by some trajectory steps to test sensitivity at recorded precision.
| Column | Type | Description |
|---|---|---|
tbc.p_plus |
numeric | Recentered uncorrected z under the + perturbation. |
tbc.p_minus |
numeric | Recentered uncorrected z under the − perturbation. |
ctbc.p_plus |
numeric | Recentered GA-corrected z under the + perturbation.
Equal to tbc.p_plus for uncorrected values. |
ctbc.p_minus |
numeric | Recentered GA-corrected z under the − perturbation.
Equal to tbc.p_minus for uncorrected values. |
7c. gc_internal_sex — gc’s interpreted sex
| Column | Type | Description |
|---|---|---|
gc_internal_sex |
integer | The sex value gc actually used internally: 0 (male),
1 (female), or NA (uninterpretable). Companion
to the standard sex column (§1), which carries the user’s
verbatim submission: sex preserves what
was submitted, gc_internal_sex exposes the coerced value
the algorithm ran on. Present under internal_detail,
debug, or full_detail. (Adult and child alike
— the coercion is shared.) |
Quick map: option → columns added
| Option (default) | Columns added | Notes |
|---|---|---|
| (always) |
id, subjid, param,
agedays, sex, measurement,
exclude, bin_exclude
|
8 columns. exclude carries the Summary code. |
carry_through = TRUE (default)
|
any other input columns | Any other input columns (anything not used as subjid,
param, agedays, sex,
measurement, or id, including
dob/visit_date) are returned unchanged, after
the growthcleanr columns. For semi-wide/wide input with long output,
each row’s columns are repeated on every measurement from that row
(wide: subject-level columns such as dob; the per-block
columns are not repeated). A column whose name matches a column
growthcleanr returns in this run (e.g. exclude) comes back
as userinput_<name>, with a warning; names of
growthcleanr columns that are not returned in the run are left alone.
Set carry_through = FALSE to return only the growthcleanr
columns. |
unit_error_range = TRUE (default)
|
unit_error_range |
Set FALSE to omit. Not part of
full_detail. |
exclude_detail = TRUE |
exclude_detailed |
Step-level Detailed code. |
internal_detail = TRUE |
gc_internal_meas, gc_internal_param,
gc_internal_sex, gc_internal_id,
gc_internal_agedays, and gc_internal_dob /
gc_internal_visit_date when a dob /
visit_date column was supplied (each independently, whether
or not the dates drove agedays) |
gc’s working values for the inputs the user supplied; the primary columns stay verbatim. |
tri_exclude = TRUE |
tri_exclude |
|
cf_detail = TRUE |
cf_status, cf_deltaz,
cf_nextz, imperial, cf_dage_orig,
cf_dage_next
|
|
corr_detail = TRUE |
corr_val, corr_pt
|
|
recenter_detail = TRUE |
tbc.sd, ctbc.sd,
rcmedian.sd
|
Child rows only (NA on adult). Stable output contract
(subset of the debug z-scores). |
qm_detail = TRUE |
qm_elig_c_cf, qm_elig_c_hardlimit,
qm_elig_c_eviltwins, qm_elig_c_trajextreme,
qm_elig_extraneous, qm_elig_c_traj,
qm_elig_c_absdiff, qm_elig_c_pair,
qm_elig_c_single, qm_elig_c_trajuneval
|
Per-step eligibility flags (child rows only; NA on
adult). Write-only; do not affect any exclusion. |
display_gc_id = TRUE |
gc_internal_id |
|
(default, when the data has adult rows) or
mean_ht = TRUE
|
mean_ht |
Adult height rows only (NA elsewhere; computed from
included heights, populated on excluded rows too). Value always
computed; switch controls only whether it is returned. |
debug = TRUE |
gc_internal_sex + sd.orig,
sd.corr, tbc.sd, ctbc.sd,
tbc.p_plus, tbc.p_minus,
ctbc.p_plus, ctbc.p_minus
|
z-score columns are child rows only (NA on adult);
gc_internal_sex applies to all rows. |
full_detail = TRUE |
exclude_detailed + tri_exclude +
cf_status, cf_deltaz, cf_nextz,
imperial, cf_dage_orig,
cf_dage_next + corr_val, corr_pt
+ tbc.sd, ctbc.sd, rcmedian.sd +
gc_internal_id + gc_internal_meas,
gc_internal_param, gc_internal_agedays (+
gc_internal_dob / gc_internal_visit_date when
supplied) + mean_ht + the debug set
(incl. gc_internal_sex) |
Convenience switch for exclude_detail +
cf_detail + corr_detail +
recenter_detail + debug +
tri_exclude + display_gc_id +
internal_detail + mean_ht. Does
not enable qm_detail (the ten
qm_elig_* columns must be requested explicitly), and does
not affect unit_error_range (independent
default-on). |