{
  "_id": "6a1ea6bab25058d4daad8bfc",
  "Package": "bruceR",
  "Title": "Broadly Useful Convenient and Efficient R Functions",
  "Version": "2026.1",
  "Date": "2026-01-29",
  "Authors@R": "c(person(given = \"Han Wu Shuang\",\nfamily = \"Bao\",\nrole = c(\"aut\", \"cre\"),\nemail = \"baohws@foxmail.com\",\ncomment = c(ORCID = \"0000-0003-3043-710X\")))",
  "Maintainer": "Han Wu Shuang Bao <baohws@foxmail.com>",
  "Description": "Broadly useful convenient and efficient R functions that\nbring users concise and elegant R data analyses. This package\nincludes easy-to-use functions for (1) basic R programming\n(e.g., set working directory to the path of currently opened\nfile; import/export data from/to files in any format; print\ntables to Microsoft Word); (2) multivariate computation (e.g.,\ncompute scale sums/means/... with reverse scoring); (3)\nreliability analyses and factor analyses; (4) descriptive\nstatistics and correlation analyses; (5) t-test, multi-factor\nanalysis of variance (ANOVA), simple-effect analysis, and\npost-hoc multiple comparison; (6) tidy report of statistical\nmodels (to R Console and Microsoft Word); (7) mediation and\nmoderation analyses (PROCESS); and (8) additional toolbox for\nstatistics and graphics.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "LazyDataCompression": "xz",
  "URL": "https://psychbruce.github.io/bruceR/",
  "BugReports": "https://github.com/psychbruce/bruceR/issues",
  "RoxygenNote": "7.3.3",
  "Roxygen": "list(markdown = TRUE)",
  "Config/pak/sysreqs": "cmake make texlive libicu-dev libuv1-dev libssl-dev\nlibx11-dev zlib1g-dev",
  "Repository": "https://psychbruce.r-universe.dev",
  "Date/Publication": "2026-02-02 08:55:16 UTC",
  "RemoteUrl": "https://github.com/psychbruce/brucer",
  "RemoteRef": "HEAD",
  "RemoteSha": "607f8fe609b42e8ceb4576fba3e3271be803c830",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-02 09:42:40 UTC",
    "User": "root"
  },
  "Author": "Han Wu Shuang Bao [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-3043-710X>)",
  "MD5sum": "0b6b68d9a4a8dd548b794145109d17c6",
  "_user": "psychbruce",
  "_type": "src",
  "_file": "bruceR_2026.1.tar.gz",
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  "_created": "2026-06-02T09:42:40.000Z",
  "_published": "2026-06-02T09:47:38.796Z",
  "_distro": "noble",
  "_jobs": [
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  "_upstream": "https://github.com/psychbruce/brucer",
  "_commit": {
    "id": "607f8fe609b42e8ceb4576fba3e3271be803c830",
    "author": "Bruce <psychbruce@qq.com>",
    "committer": "Bruce <psychbruce@qq.com>",
    "message": "[2026.1]\n",
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    "description": "🔮 Social Computing & Causal Discovery | Assistant Professor @ ECNU",
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  "_usedby": 3,
  "_updates": [
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    "data-analysis",
    "data-science",
    "linear-models",
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  "_userbio": {
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    "description": "🔮 Social Computing & Causal Discovery | Assistant Professor @ ECNU"
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    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_homeurl": "https://github.com/psychbruce/brucer",
  "_realowner": "psychbruce",
  "_cranurl": true,
  "_releases": [
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      "date": "2021-03-19"
    },
    {
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  "_exports": [
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    ".sum",
    "%^%",
    "%allin%",
    "%anyin%",
    "%nonein%",
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    "%partin%",
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    "Alpha",
    "cc",
    "ccf_plot",
    "CFA",
    "CONSEC",
    "cor_diff",
    "cor_multilevel",
    "Corr",
    "COUNT",
    "Describe",
    "dtime",
    "EFA",
    "EMMEANS",
    "export",
    "formatF",
    "formatN",
    "formula_expand",
    "formula_paste",
    "Freq",
    "GLM_summary",
    "Glue",
    "grand_mean_center",
    "granger_causality",
    "granger_test",
    "group_mean_center",
    "HLM_ICC_rWG",
    "HLM_summary",
    "import",
    "lavaan_summary",
    "LOOKUP",
    "MANOVA",
    "MEAN",
    "med_summary",
    "MODE",
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    "p.chi2",
    "p.f",
    "p.r",
    "p.t",
    "p.z",
    "PCA",
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    "Print",
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    "PROCESS",
    "RECODE",
    "regress",
    "rep_char",
    "RESCALE",
    "RGB",
    "Run",
    "scaler",
    "set_wd",
    "set.wd",
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    "STD",
    "SUM",
    "theme_bruce",
    "TTEST"
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    {
      "page": "bruceR-package",
      "title": "bruceR: *BR*oadly *U*seful *C*onvenient and *E*fficient *R* functions",
      "topics": [
        "bruceR-package",
        "bruceR"
      ]
    },
    {
      "page": "grapes-grapes-COMPUTE-grapes-grapes",
      "title": "Multivariate computation.",
      "topics": [
        "%%COMPUTE%%",
        ".mean",
        ".sum",
        "CONSEC",
        "COUNT",
        "MEAN",
        "MODE",
        "STD",
        "SUM"
      ]
    },
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      "page": "grapes-pow-grapes",
      "title": "Paste strings together.",
      "topics": [
        "%^%"
      ]
    },
    {
      "page": "grapes-allin-grapes",
      "title": "A simple extension of '%in%'.",
      "topics": [
        "%allin%"
      ]
    },
    {
      "page": "grapes-anyin-grapes",
      "title": "A simple extension of '%in%'.",
      "topics": [
        "%anyin%"
      ]
    },
    {
      "page": "grapes-nonein-grapes",
      "title": "A simple extension of '%in%'.",
      "topics": [
        "%nonein%"
      ]
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      "page": "grapes-partin-grapes",
      "title": "A simple extension of '%in%'.",
      "topics": [
        "%partin%"
      ]
    },
    {
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      "title": "Create, modify, and delete variables.",
      "topics": [
        "add",
        "added"
      ]
    },
    {
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      "title": "Reliability analysis (Cronbach's alpha and McDonald's omega).",
      "topics": [
        "Alpha"
      ]
    },
    {
      "page": "cc",
      "title": "Split up a string (with separators) into a character vector.",
      "topics": [
        "cc"
      ]
    },
    {
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      "title": "Cross-correlation analysis.",
      "topics": [
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    },
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      "title": "Confirmatory Factor Analysis (CFA).",
      "topics": [
        "CFA"
      ]
    },
    {
      "page": "cor_diff",
      "title": "Test the difference between two correlations.",
      "topics": [
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      ]
    },
    {
      "page": "cor_multilevel",
      "title": "Multilevel correlations (within-level and between-level).",
      "topics": [
        "cor_multilevel"
      ]
    },
    {
      "page": "Corr",
      "title": "Correlation analysis.",
      "topics": [
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    },
    {
      "page": "Describe",
      "title": "Descriptive statistics.",
      "topics": [
        "Describe"
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    },
    {
      "page": "dtime",
      "title": "Timer (compute time difference).",
      "topics": [
        "dtime"
      ]
    },
    {
      "page": "EFA",
      "title": "Principal Component Analysis (PCA) and Exploratory Factor analysis (EFA).",
      "topics": [
        "EFA",
        "PCA"
      ]
    },
    {
      "page": "EMMEANS",
      "title": "Simple-effect analysis and post-hoc multiple comparison.",
      "topics": [
        "EMMEANS"
      ]
    },
    {
      "page": "export",
      "title": "Export data to a file (TXT, CSV, Excel, SPSS, Stata, ...) or clipboard.",
      "topics": [
        "export"
      ]
    },
    {
      "page": "formatF",
      "title": "Format numeric values.",
      "topics": [
        "formatF"
      ]
    },
    {
      "page": "formatN",
      "title": "Format \"1234\" to \"1,234\".",
      "topics": [
        "formatN"
      ]
    },
    {
      "page": "formula_expand",
      "title": "Expand all interaction terms in a formula.",
      "topics": [
        "formula_expand"
      ]
    },
    {
      "page": "formula_paste",
      "title": "Paste a formula into a string.",
      "topics": [
        "formula_paste"
      ]
    },
    {
      "page": "Freq",
      "title": "Frequency statistics.",
      "topics": [
        "Freq"
      ]
    },
    {
      "page": "GLM_summary",
      "title": "Tidy report of GLM ('lm' and 'glm' models).",
      "topics": [
        "GLM_summary"
      ]
    },
    {
      "page": "grand_mean_center",
      "title": "Grand-mean centering.",
      "topics": [
        "grand_mean_center"
      ]
    },
    {
      "page": "granger_causality",
      "title": "Granger causality test (multivariate).",
      "topics": [
        "granger_causality"
      ]
    },
    {
      "page": "granger_test",
      "title": "Granger causality test (bivariate).",
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