Get started with lssdoc • lssdoc

lssdoc turns a LimeSurvey .lss export into a polished Word (.docx) or PDF questionnaire document, displaying up to four languages side by side, and runs a rule-based audit of the survey. Everything stays on your machine.

The public API is four functions:

Function	Role
`read_lss(file)`	Parse a `.lss` into a structured `lss` object.
`audit_lss(input)`	Inspect a survey for anomalies.
`render_questionnaire(input, output, ...)`	Render the full questionnaire to Word or PDF.
`render_audit(input, output, ...)`	Render the audit findings alone.

This vignette uses the demo survey that ships with the package – a synthetic four-language questionnaire (English, French, German, Spanish) with quotas and a consent block.

demo <- system.file("extdata", "demo_survey.lss", package = "lssdoc")

Parse

read_lss() reads the .lss (XML) export into a structured object, preserving every user-entered string verbatim.

lss <- read_lss(demo)
lss$languages
#> [1] "en" "de" "es" "fr"

Audit

audit_lss() flags reviewable anomalies – missing translations, duplicate codes, forward filter references, array-scale inconsistencies, orphan references – as a classed object with a print() method. The demo survey is clean; a deliberately broken fixture is included to show the output:

broken <- system.file("extdata", "audit_demo.lss", package = "lssdoc")
audit_lss(read_lss(broken))
#> 
#> ── lssdoc audit ────────────────────────────────────────────────────────────────
#> File: /tmp/RtmpLkHxwg/temp_libpath1b3762e69703/lssdoc/extdata/audit_demo.lss
#> Languages: "en" and "fr"
#> 12 findings: 5 errors, 7 warnings, 0 notes.
#> ✖ Survey: Duplicate question code: 'age'.
#> ✖ Question 'blank_q': The question text is empty in every language.
#> ✖ Question 'age': Filter references variable 'income' (item 4), which is not
#>   asked before this question (item 1).
#> ✖ Answer 'X': Answer points to question id '99999', which does not exist.
#> ✖ Subquestion 'orphan_sq': Subquestion points to question id '99999', which
#>   does not exist.
#> Question 'arr': Subquestions reference scale_id '0' but no answer options are
#> defined for it.
#> Question 'arr': Answer options reference scale_id '1' but no subquestions are
#> defined for it.
#> Question 'comment ': The question code 'comment ' contains whitespace;
#> LimeSurvey will export it verbatim, which usually breaks downstream lookups.
#> Group: The group name is empty in every language.
#> Question 'satisf': Type 'Single choice' expects answer options, but none are
#> defined.
#> Question 'rating': Type 'Multiple choice' expects subquestions, but none are
#> defined.
#> Question 'income' [fr]: The question text is missing in 'fr' but present in
#> other languages.

Render

render_questionnaire() writes the document; the output format is inferred from the file extension (.docx or .pdf). Rendering uses the suggested packages and .

# Parse once (above), then render different variants without re-reading.
render_questionnaire(lss, "review.docx")

Two templates are available. The "cards" template (default) stacks one block per item – closest to the printed questionnaire:

The "table" template is one dense codebook covering the whole document – one row per variable, with its value codes beneath:

render_questionnaire(lss, "codebook.docx", template = "table")

Useful arguments

languages – which content columns appear, and in which order (c("en", "fr")); the first is the primary language.
chrome_lang – language of the document chrome (column headers, row labels, type labels), independent of the content languages.
template – "cards" (default) or "table".
variable_names – "brackets" (default) reproduces the LimeSurvey CSV/Excel export column names, so the variable index matches the raw data file; "underscore" uses the SPSS/Stata code form.
base_size – body type size in points (default 10); raise it (e.g. 12) for a roomier single-language render.
page_format – "auto", "A4-portrait", "A4-landscape" or "A3".

render_questionnaire(
  lss, "review_en_fr.docx",
  languages   = c("en", "fr"),
  template    = "table",
  chrome_lang = "en"
)

PDF output

Pass a .pdf path: the package writes a .docx to a temporary location and converts it locally via LibreOffice (which must be installed and on the PATH). No upload, no network call.

render_questionnaire(lss, "review.pdf")

Audit-only document

render_audit() produces a focused QA document – the cover page, then one section per severity – separate from the full review.

render_audit(lss, "qa.docx")