{ "_id": "6a13189eacfb0bcc41d272d9", "Package": "Keng", "Title": "Knock Errors Off Nice Guesses", "Version": "2026.3.19.9000", "Authors@R": "person(\ngiven = \"Qingyao\",\nfamily = \"Zhang\",\nemail = \"qingyaozhang@outlook.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6891-5982\"))", "Description": "Miscellaneous functions and data used in psychological\nresearch and teaching. Keng currently has four built-in\ndatasets, and could (1) scale a vector; (2) divide a vector\ninto three groups, (3) compute the cut-off values of Pearson's\nr with known sample size; (4) test the significance and compute\nthe post-hoc power for Pearson's r with known sample size; (5)\nconduct a priori power analysis and plan the sample size for\nPearson's r; (6) compare lm()'s fitted outputs using R-squared,\nf_squared, post-hoc power, and PRE (Proportional Reduction in\nError, also called partial R-squared or partial Eta-squared);\n(7) calculate PRE from partial correlation, Cohen's f, or\nf_squared; (8) conduct a priori power analysis and plan the\nsample size for one or a set of predictors in regression\nanalysis; (9) conduct post-hoc power analysis for one or a set\nof predictors in regression analysis with known sample size;\n(10) randomly pick numbers for Chinese Super Lotto and Double\nColor Balls; (11) assess course objective achievement in\nOutcome-Based Education.", "License": "CC BY 4.0", "Language": "en-US", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "URL": "https://github.com/qyaozh/Keng", "BugReports": "https://github.com/qyaozh/Keng/issues", "LazyData": "true", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.0.0", "Repository": "https://qyaozh.r-universe.dev", "Date/Publication": "2026-05-24 14:49:38 UTC", "RemoteUrl": "https://github.com/qyaozh/keng", "RemoteRef": "HEAD", "RemoteSha": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-24 15:23:10 UTC", "User": "root" }, "Author": "Qingyao Zhang [aut, cre] (ORCID:\n)", "Maintainer": "Qingyao Zhang ", "MD5sum": "2b5bb232b3b6ce81231465deb96b38ee", "_user": "qyaozh", "_type": "src", "_file": "Keng_2026.3.19.9000.tar.gz", "_fileid": "d8b6b4d389bf69ce011c92e0158e610d3754a2e8dbc7c459cdb4ff6bc8e57b5d", "_filesize": 636715, "_sha256": "d8b6b4d389bf69ce011c92e0158e610d3754a2e8dbc7c459cdb4ff6bc8e57b5d", "_created": "2026-05-24T15:23:10.000Z", "_published": "2026-05-24T15:26:22.337Z", "_distro": "noble", "_jobs": [ { "job": 77607527637, "time": 164, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "7186257798" }, { "job": 77607527642, "time": 133, "config": "linux-release-x86_64", "r": "4.6.0", "check": "WARNING", "artifact": "7186254404" }, { "job": 77607527622, "time": 132, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "7186252102" }, { "job": 77607527609, "time": 116, "config": "macos-release-arm64", "r": "4.6.0", "check": "WARNING", "artifact": "7186250650" }, { "job": 77607325193, "time": 194, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7186240239" }, { "job": 77607527611, "time": 113, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7186252181" }, { "job": 77607527639, "time": 80, "config": "windows-devel", "r": "4.7.0", "check": "WARNING", "artifact": "7186248772" }, { "job": 77607527645, "time": 88, "config": "windows-oldrel", "r": "4.5.3", "check": "WARNING", "artifact": "7186249740" }, { "job": 77607527651, "time": 77, "config": "windows-release", "r": "4.6.0", "check": "WARNING", "artifact": "7186248408" } ], "_buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/qyaozh/keng", "_commit": { "id": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "author": "Qingyao Zhang ", "committer": "Qingyao Zhang ", "message": "remove color\n", "time": 1779634178 }, "_maintainer": { "name": "Qingyao Zhang", "email": "qingyaozhang@outlook.com", "login": "qyaozh", "description": "", "uuid": 132248913, "orcid": "0000-0002-6891-5982" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "car", "role": "Suggests" }, { "package": "effectsize", "role": "Suggests" }, { "package": "tidyr", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "qyaozh", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-33", "n": 12 }, { "week": "2025-34", "n": 12 }, { "week": "2025-35", "n": 5 }, { "week": "2025-36", "n": 3 }, { "week": "2025-41", "n": 11 }, { "week": "2025-42", "n": 2 }, { "week": "2025-46", "n": 4 }, { "week": "2026-02", "n": 4 }, { "week": "2026-12", "n": 10 }, { "week": "2026-15", "n": 2 }, { "week": "2026-16", "n": 1 }, { "week": "2026-17", "n": 2 }, { "week": "2026-18", "n": 3 }, { "week": "2026-19", "n": 2 }, { "week": "2026-20", "n": 1 }, { "week": "2026-21", "n": 1 } ], "_tags": [ { "name": "2025.8.16", "date": "2025-08-20" }, { "name": "2025.9.1", "date": "2025-08-31" }, { "name": "2025.10.8", "date": "2025-10-09" }, { "name": "v2026.3.19", "date": "2026-03-19" } ], "_stars": 0, "_contributors": [ { "user": "qyaozh", "count": 177, "uuid": 132248913 } ], "_userbio": { "uuid": 132248913, "type": "user", "name": "Keng" }, "_downloads": { "count": 528, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Keng" }, "_devurl": "https://github.com/qyaozh/keng", "_searchresults": 17, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/Keng.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/qyaozh/keng", "_realowner": "qyaozh", "_cranurl": true, "_releases": [ { "version": "2024.10.16", "date": "2024-10-17" }, { "version": "2024.11.02", "date": "2024-11-04" }, { "version": "2024.11.17", "date": "2024-11-17" }, { "version": "2024.11.25", "date": "2024-11-24" }, { "version": "2024.12.15", "date": "2024-12-15" }, { "version": "2025.8.16", "date": "2025-08-20" }, { "version": "2025.9.1", "date": "2025-08-31" }, { "version": "2025.10.8", "date": "2025-10-09" }, { "version": "2026.3.19", "date": "2026-03-19" } ], "_exports": [ "assess_coa", "calc_PRE", "compare_lm", "cut_r", "divide", "pick_dcb", "pick_sl", "power_lm", "power_r", "powered_lm", "powered_r", "Scale", "test_r" ], "_datasets": [ { "name": "depress", "title": "Three-wave data from the D research", "object": "depress", "class": [ "data.frame" ], "fields": [ "date100", "date200", "date300", "id", "gender", "age", "grade", "class", "boarder", "cost", "fedu", "medu", "intervene", "attr112", "attr113", "attr114", "attr115", "attr122", "attr123", "attr124", "attr125", "attr132", "attr133", "attr134", "attr135", "attr142", "attr143", "attr144", "attr145", "attr152", "attr153", "attr154", "attr155", "attr162", "attr163", "attr164", "attr165", "attr172", "attr173", "attr174", "attr175", "attr182", "attr183", "attr184", "attr185", "attr212", "attr213", "attr214", "attr215", "attr222", "attr223", "attr224", "attr225", "attr232", "attr233", "attr234", "attr235", "attr242", "attr243", "attr244", "attr245", "attr252", "attr253", "attr254", "attr255", "attr262", "attr263", "attr264", "attr265", "attr272", "attr273", "attr274", "attr275", "attr282", "attr283", "attr284", "attr285", "cope101", "cope102", "cope103", "cope104", "cope105", "cope106", "cope107", "cope108", "cope109", "cope110", "cope111", "cope112", "cope113", "cope114", "cope115", "cope116", "cope117", "cope118", "cope119", "cope120", "cope121", "cope122", "cope123", "cope124", "cope125", "cope126", "cope127", "cope128", "cope129", "cope130", "cope131", "cope132", "cope133", "cope134", "cope135", "cope136", "cope137", "cope138", "cope139", "cope140", "cope141", "cope142", "cope143", "cope144", "cope145", "cope146", "cope147", "cope148", "cope149", "cope150", "cope201", "cope202", "cope203", "cope204", "cope205", "cope206", "cope207", "cope208", "cope209", "cope210", "cope211", "cope212", "cope213", "cope214", "cope215", "cope216", "cope217", "cope218", "cope219", "cope220", "cope221", "cope222", "cope223", "cope224", "cope225", "cope226", "cope227", "cope228", "cope229", "cope230", "cope231", "cope232", "cope233", "cope234", "cope235", "cope236", "cope237", "cope238", "cope239", "cope240", "cope241", "cope242", "cope243", "cope244", "cope245", "cope246", "cope247", "cope248", "cope249", "cope250", "cope301", "cope302", "cope303", "cope304", "cope305", "cope306", "cope307", "cope308", "cope309", "cope310", "cope311", "cope312", "cope313", "cope314", "cope315", "cope316", "cope317", "cope318", "cope319", "cope320", "cope321", "cope322", "cope323", "cope324", "cope325", "cope326", "cope327", "cope328", "cope329", "cope330", "cope331", "cope332", "cope333", "cope334", "cope335", "cope336", "cope337", "cope338", "cope339", "cope340", "cope341", "cope342", "cope343", "cope344", "cope345", "cope346", "cope347", "cope348", "cope349", "cope350", "depr101", "depr102", "depr103", "depr104", "depr105", "depr106", "depr107", "depr108", "depr109", "depr110", "depr111", "depr112", "depr113", "depr114", "depr115", "depr116", "depr117", "depr118", "depr119", "depr120", "depr201", "depr202", "depr203", "depr204", "depr205", "depr206", "depr207", "depr208", "depr209", "depr210", "depr211", "depr212", "depr213", "depr214", "depr215", "depr216", "depr217", "depr218", "depr219", "depr220", "depr301", "depr302", "depr303", "depr304", "depr305", "depr306", "depr307", "depr308", "depr309", "depr310", "depr311", "depr312", "depr313", "depr314", "depr315", "depr316", "depr317", "depr318", "depr319", "depr320", "ecr101", "ecr102", "ecr103", "ecr104", "ecr105", "ecr106", "ecr107", "ecr108", "ecr109", "na_waves", "attach_anx", "attach_avo", "internalP1", "stableP1", "globalP1", "internalN1", "stableN1", "globalN1", "internalP2", "stableP2", "globalP2", "internalN2", "stableN2", "globalN2", "cope_task1", "cope_emo1", "cope_avo1", "cope_task2", "cope_emo2", "cope_avo2", "cope_task3", "cope_emo3", "cope_avo3", "depr1", "depr2", "depr3" ], "rows": 185, "table": true, "tojson": true }, { "name": "depress1", "title": "The 1st wave data from the D research", "object": "depress1", "class": [ "data.frame" ], "fields": [ "date", "id", "gender", "age", "grade", "class", "boarder", "cost", "fedu", "medu", "intervene", "ecr01", "ecr02", "ecr03", "ecr04", "ecr05", "ecr06", "ecr07", "ecr08", "ecr09", "attr12", "attr13", "attr14", "attr15", "attr22", "attr23", "attr24", "attr25", "attr32", "attr33", "attr34", "attr35", "attr42", "attr43", "attr44", "attr45", "attr52", "attr53", "attr54", "attr55", "attr62", "attr63", "attr64", "attr65", "attr72", "attr73", "attr74", "attr75", "attr82", "attr83", "attr84", "attr85", "cope01", "cope02", "cope03", "cope04", "cope05", "cope06", "cope07", "cope08", "cope09", "cope10", "cope11", "cope12", "cope13", "cope14", "cope15", "cope16", "cope17", "cope18", "cope19", "cope20", "cope21", "cope22", "cope23", "cope24", "cope25", "cope26", "cope27", "cope28", "cope29", "cope30", "cope31", "cope32", "cope33", "cope34", "cope35", "cope36", "cope37", "cope38", "cope39", "cope40", "cope41", "cope42", "cope43", "cope44", "cope45", "cope46", "cope47", "cope48", "cope49", "cope50", "depr01", "depr02", "depr03", "depr04", "depr05", "depr06", "depr07", "depr08", "depr09", "depr10", "depr11", "depr12", "depr13", "depr14", "depr15", "depr16", "depr17", "depr18", "depr19", "depr20" ], "rows": 174, "table": true, "tojson": true }, { "name": "depress2", "title": "The 2nd wave data from the D research", "object": "depress2", "class": [ "data.frame" ], "fields": [ "date", "id", "attr12", "attr13", "attr14", "attr15", "attr22", "attr23", "attr24", "attr25", "attr32", "attr33", "attr34", "attr35", "attr42", "attr43", "attr44", "attr45", "attr52", "attr53", "attr54", "attr55", "attr62", "attr63", "attr64", "attr65", "attr72", "attr73", "attr74", "attr75", "attr82", "attr83", "attr84", "attr85", "cope01", "cope02", "cope03", "cope04", "cope05", "cope06", "cope07", "cope08", "cope09", "cope10", "cope11", "cope12", "cope13", "cope14", "cope15", "cope16", "cope17", "cope18", "cope19", "cope20", "cope21", "cope22", "cope23", "cope24", "cope25", "cope26", "cope27", "cope28", "cope29", "cope30", "cope31", "cope32", "cope33", "cope34", "cope35", "cope36", "cope37", "cope38", "cope39", "cope40", "cope41", "cope42", "cope43", "cope44", "cope45", "cope46", "cope47", "cope48", "cope49", "cope50", "depr01", "depr02", "depr03", "depr04", "depr05", "depr06", "depr07", "depr08", "depr09", "depr10", "depr11", "depr12", "depr13", "depr14", "depr15", "depr16", "depr17", "depr18", "depr19", "depr20" ], "rows": 173, "table": true, "tojson": true }, { "name": "depress3", "title": "The 3rd wave data from the D research", "object": "depress3", "class": [ "data.frame" ], "fields": [ "date", "id", "cope01", "cope02", "cope03", "cope04", "cope05", "cope06", "cope07", "cope08", "cope09", "cope10", "cope11", "cope12", "cope13", "cope14", "cope15", "cope16", "cope17", "cope18", "cope19", "cope20", "cope21", "cope22", "cope23", "cope24", "cope25", "cope26", "cope27", "cope28", "cope29", "cope30", "cope31", "cope32", "cope33", "cope34", "cope35", "cope36", "cope37", "cope38", "cope39", "cope40", "cope41", "cope42", "cope43", "cope44", "cope45", "cope46", "cope47", "cope48", "cope49", "cope50", "depr01", "depr02", "depr03", "depr04", "depr05", "depr06", "depr07", "depr08", "depr09", "depr10", "depr11", "depr12", "depr13", "depr14", "depr15", "depr16", "depr17", "depr18", "depr19", "depr20" ], "rows": 172, "table": true, "tojson": true }, { "name": "well", "title": "Three-wave data from the W research", "object": "well", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "id", "gender100", "age100", "grade100", "income100", "income200", "loan300", "cost100", "cost200", "SSES100", "SSES200", "heema101", "heema102", "heema103", "heema104", "heema105", "heema106", "heema107", "heema108", "heema109", "heema110", "heema111", "heema112", "heema113", "heema114", "heema115", "heema116", "heema201", "heema202", "heema203", "heema204", "heema205", "heema206", "heema207", "heema208", "heema209", "heema210", "heema211", "heema212", "heema213", "heema214", "heema215", "heema216", "heema301", "heema302", "heema303", "heema304", "heema305", "heema306", "heema307", "heema308", "heema309", "heema310", "heema311", "heema312", "heema313", "heema314", "heema315", "heema316", "cssp101", "csss101", "csst101", "cssf101", "cssr101", "cssp102", "csss102", "csst102", "cssf102", "cssr102", "cssp103", "csss103", "csst103", "cssf103", "cssr103", "cssp104", "csss104", "csst104", "cssf104", "cssr104", "cssp105", "csss105", "csst105", "cssf105", "cssr105", "cssp106", "csss106", "csst106", "cssf106", "cssr106", "cssp107", "csss107", "csst107", "cssf107", "cssr107", "cssp108", "csss108", "csst108", "cssf108", "cssr108", "cssp109", "csss109", "csst109", "cssf109", "cssr109", "cssp110", "csss110", "csst110", "cssf110", "cssr110", "cssp111", "csss111", "csst111", "cssf111", "cssr111", "cssp112", "csss112", "csst112", "cssf112", "cssr112", "cssp113", "csss113", "csst113", "cssf113", "cssr113", "cssp114", "csss114", "csst114", "cssf114", "cssr114", "cssp115", "csss115", "csst115", "cssf115", "cssr115", "cssp116", "csss116", "csst116", "cssf116", "cssr116", "cssp117", "csss117", "csst117", "cssf117", "cssr117", "cssp118", "csss118", "csst118", "cssf118", "cssr118", "cssp119", "csss119", "csst119", "cssf119", "cssr119", "cssp120", "csss120", "csst120", "cssf120", "cssr120", "cssp201", "csss201", "csst201", "cssf201", "cssr201", "cssp202", "csss202", "csst202", "cssf202", "cssr202", "cssp203", "csss203", "csst203", "cssf203", "cssr203", "cssp204", "csss204", "csst204", "cssf204", "cssr204", "cssp205", "csss205", "csst205", "cssf205", "cssr205", "cssp206", "csss206", "csst206", "cssf206", "cssr206", "cssp207", "csss207", "csst207", "cssf207", "cssr207", "cssp208", "csss208", "csst208", "cssf208", "cssr208", "cssp209", "csss209", "csst209", "cssf209", "cssr209", "cssp210", "csss210", "csst210", "cssf210", "cssr210", "cssp211", "csss211", "csst211", "cssf211", "cssr211", "cssp212", "csss212", "csst212", "cssf212", "cssr212", "cssp213", "csss213", "csst213", "cssf213", "cssr213", "cssp214", "csss214", "csst214", "cssf214", "cssr214", "cssp215", "csss215", "csst215", "cssf215", "cssr215", "cssp216", "csss216", "csst216", "cssf216", "cssr216", "cssp217", "csss217", "csst217", "cssf217", "cssr217", "cssp218", "csss218", "csst218", "cssf218", "cssr218", "cssp219", "csss219", "csst219", "cssf219", "cssr219", "cssp220", "csss220", "csst220", "cssf220", "cssr220", "grit101", "grit102", "grit103", "grit104", "grit105", "grit106", "grit107", "grit108", "grit201", "grit202", "grit203", "grit204", "grit205", "grit206", "grit207", "grit208", "grit301", "grit302", "grit303", "grit304", "grit305", "grit306", "grit307", "grit308", "CET4100", "CET4200", "CET4300", "flourish101", "flourish102", "flourish103", "flourish104", "flourish105", "flourish106", "flourish107", "flourish108", "flourish201", "flourish202", "flourish203", "flourish204", "flourish205", "flourish206", "flourish207", "flourish208", "flourish301", "flourish302", "flourish303", "flourish304", "flourish305", "flourish306", "flourish307", "flourish308", "spne101", "spne102", "spne103", "spne104", "spne105", "spne106", "spne107", "spne108", "spne109", "spne110", "spne111", "spne112", "spne201", "spne202", "spne203", "spne204", "spne205", "spne206", "spne207", "spne208", "spne209", "spne210", "spne211", "spne212", "spne301", "spne302", "spne303", "spne304", "spne305", "spne306", "spne307", "spne308", "spne309", "spne310", "spne311", "spne312", "flourish1", "flourish2", "flourish3", "posEmo1", "posEmo2", "posEmo3", "negEmo1", "negEmo2", "negEmo3", "grit1", "grit2", "grit3", "perseverance1", "perseverance2", "perseverance3", "passion1", "passion2", "passion3", "hedonic1", "hedonic2", "hedonic3", "eudaimonic1", "eudaimonic2", "eudaimonic3", "extrinsic1", "extrinsic2", "extrinsic3", "csspm1", "csspm2", "csspa1", "csspa2", "csspe1", "csspe2", "csspi1", "csspi2", "csssm1", "csssm2", "csssa1", "csssa2", "cssse1", "cssse2", "csssi1", "csssi2", "csstm1", "csstm2", "cssta1", "cssta2", "csste1", "csste2", "cssti1", "cssti2", "cssfm1", "cssfm2", "cssfa1", "cssfa2", "cssfe1", "cssfe2", "cssfi1", "cssfi2", "cssrm1", "cssrm2", "cssra1", "cssra2", "cssre1", "cssre2", "cssri1", "cssri2", "cssp1", "cssp2", "csss1", "csss2", "csst1", "csst2", "cssf1", "cssf2", "cssr1", "cssr2", "cssm1", "cssm2", "cssa1", "cssa2", "csse1", "csse2", "cssi1", "cssi2" ], "rows": 200, "table": true, "tojson": true }, { "name": "well1", "title": "The 1st wave data from the W research", "object": "well1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "id", "gender", "age", "grade", "income", "cost", "SSES", "heema01", "heema02", "heema03", "heema04", "heema05", "heema06", "heema07", "heema08", "heema09", "heema10", "heema11", "heema12", "heema13", "heema14", "heema15", "heema16", "cssp01", "csss01", "csst01", "cssf01", "cssr01", "cssp02", "csss02", "csst02", "cssf02", "cssr02", "cssp03", "csss03", "csst03", "cssf03", "cssr03", "cssp04", "csss04", "csst04", "cssf04", "cssr04", "cssp05", "csss05", "csst05", "cssf05", "cssr05", "cssp06", "csss06", "csst06", "cssf06", "cssr06", "cssp07", "csss07", "csst07", "cssf07", "cssr07", "cssp08", "csss08", "csst08", "cssf08", "cssr08", "cssp09", "csss09", "csst09", "cssf09", "cssr09", "cssp10", "csss10", "csst10", "cssf10", "cssr10", "cssp11", "csss11", "csst11", "cssf11", "cssr11", "cssp12", "csss12", "csst12", "cssf12", "cssr12", "cssp13", "csss13", "csst13", "cssf13", "cssr13", "cssp14", "csss14", "csst14", "cssf14", "cssr14", "cssp15", "csss15", "csst15", "cssf15", "cssr15", "cssp16", "csss16", "csst16", "cssf16", "cssr16", "cssp17", "csss17", "csst17", "cssf17", "cssr17", "cssp18", "csss18", "csst18", "cssf18", "cssr18", "cssp19", "csss19", "csst19", "cssf19", "cssr19", "cssp20", "csss20", "csst20", "cssf20", "cssr20", "grit01", "grit02", "grit03", "grit04", "grit05", "grit06", "grit07", "grit08", "CET4", "flourish01", "flourish02", "flourish03", "flourish04", "flourish05", "flourish06", "flourish07", "flourish08", "spne01", "spne02", "spne03", "spne04", "spne05", "spne06", "spne07", "spne08", "spne09", "spne10", "spne11", "spne12" ], "rows": 200, "table": true, "tojson": true }, { "name": "well2", "title": "The 2nd wave data from the W research", "object": "well2", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "id", "gender", "age", "grade", "income", "cost", "SSES", "heema01", "heema02", "heema03", "heema04", "heema05", "heema06", "heema07", "heema08", "heema09", "heema10", "heema11", "heema12", "heema13", "heema14", "heema15", "heema16", "cssp01", "csss01", "csst01", "cssf01", "cssr01", "cssp02", "csss02", "csst02", "cssf02", "cssr02", "cssp03", "csss03", "csst03", "cssf03", "cssr03", "cssp04", "csss04", "csst04", "cssf04", "cssr04", "cssp05", "csss05", "csst05", "cssf05", "cssr05", "cssp06", "csss06", "csst06", "cssf06", "cssr06", "cssp07", "csss07", "csst07", "cssf07", "cssr07", "cssp08", "csss08", "csst08", "cssf08", "cssr08", "cssp09", "csss09", "csst09", "cssf09", "cssr09", "cssp10", "csss10", "csst10", "cssf10", "cssr10", "cssp11", "csss11", "csst11", "cssf11", "cssr11", "cssp12", "csss12", "csst12", "cssf12", "cssr12", "cssp13", "csss13", "csst13", "cssf13", "cssr13", "cssp14", "csss14", "csst14", "cssf14", "cssr14", "cssp15", "csss15", "csst15", "cssf15", "cssr15", "cssp16", "csss16", "csst16", "cssf16", "cssr16", "cssp17", "csss17", "csst17", "cssf17", "cssr17", "cssp18", "csss18", "csst18", "cssf18", "cssr18", "cssp19", "csss19", "csst19", "cssf19", "cssr19", "cssp20", "csss20", "csst20", "cssf20", "cssr20", "grit01", "grit02", "grit03", "grit04", "grit05", "grit06", "grit07", "grit08", "CET4", "flourish01", "flourish02", "flourish03", "flourish04", "flourish05", "flourish06", "flourish07", "flourish08", "spne01", "spne02", "spne03", "spne04", "spne05", "spne06", "spne07", "spne08", "spne09", "spne10", "spne11", "spne12" ], "rows": 200, "table": true, "tojson": true }, { "name": "well3", "title": "The 3rd wave data from the W research", "object": "well3", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "id", "gender", "age", "grade", "loan", "heema01", "heema02", "heema03", "heema04", "heema05", "heema06", "heema07", "heema08", "heema09", "heema10", "heema11", "heema12", "heema13", "heema14", "heema15", "heema16", "grit01", "grit02", "grit03", "grit04", "grit05", "grit06", "grit07", "grit08", "CET4", "flourish01", "flourish02", "flourish03", "flourish04", "flourish05", "flourish06", "flourish07", "flourish08", "spne01", "spne02", "spne03", "spne04", "spne05", "spne06", "spne07", "spne08", "spne09", "spne10", "spne11", "spne12" ], "rows": 200, "table": true, "tojson": true } ], "_help": [ { "page": "assess_coa", "title": "Assess course objective achievement", "topics": [ "assess_coa" ] }, { "page": "calc_PRE", "title": "Calculate PRE from Cohen's f, f_squared, or partial correlation", "topics": [ "calc_PRE" ] }, { "page": "compare_lm", "title": "Compare lm()'s fitted outputs using PRE and R-squared.", "topics": [ "compare_lm" ] }, { "page": "cut_r", "title": "Cut-off values of Pearson's correlation r with known sample size n.", "topics": [ "cut_r" ] }, { "page": "depress", "title": "Three-wave data from the D research", "topics": [ "depress" ] }, { "page": "depress1", "title": "The 1st wave data from the D research", "topics": [ "depress1" ] }, { "page": "depress2", "title": "The 2nd wave data from the D research", "topics": [ "depress2" ] }, { "page": "depress3", "title": "The 3rd wave data from the D research", "topics": [ "depress3" ] }, { "page": "divide", "title": "Divide a vector into three groups", "topics": [ "divide" ] }, { "page": "pick_dcb", "title": "Pick Double Color Balls", "topics": [ "pick_dcb" ] }, { "page": "pick_sl", "title": "Pick Super Lotto numbers", "topics": [ "pick_sl" ] }, { "page": "plot.Keng_power", "title": "Plot the power against the sample size for the Keng_power class", "topics": [ "plot.Keng_power" ] }, { "page": "power_lm", "title": "Conduct a priori power analysis, and plan the sample size for regression analysis", "topics": [ "power_lm" ] }, { "page": "power_r", "title": "Conduct a priori power analysis, and plan the sample size for r.", "topics": [ "power_r" ] }, { "page": "powered_lm", "title": "Compute lm's post-hoc power", "topics": [ "powered_lm" ] }, { "page": "powered_r", "title": "Compute r's post-hoc power", "topics": [ "powered_r" ] }, { "page": "print.Keng_power", "title": "Print primary but not all contents of the Keng_power class", "topics": [ "print.Keng_power" ] }, { "page": "Scale", "title": "Scale a vector", "topics": [ "Scale" ] }, { "page": "test_r", "title": "Test the significance, analyze the power, and plan the sample size for r.", "topics": [ "test_r" ] }, { "page": "well", "title": "Three-wave data from the W research", "topics": [ "well" ] }, { "page": "well1", "title": "The 1st wave data from the W research", "topics": [ "well1" ] }, { "page": "well2", "title": "The 2nd wave data from the W research", "topics": [ "well2" ] }, { "page": "well3", "title": "The 3rd wave data from the W research", "topics": [ "well3" ] } ], "_pkglogo": "https://github.com/qyaozh/keng/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/qyaozh/keng/raw/HEAD/README.md", "_rundeps": [], "_vignettes": [ { "source": "assessCOA.Rmd", "filename": "assessCOA.html", "title": "assessCOA", "engine": "knitr::rmarkdown", "headings": [], "created": "2025-08-31 16:27:25", "modified": "2025-10-08 13:24:03", "commits": 3 }, { "source": "commonSampleSizes.Rmd", "filename": "commonSampleSizes.html", "title": "Common Sample Sizes", "engine": "knitr::rmarkdown", "headings": [ "Use Pearson's r", "Mediation", "Moderation", "ANOVA", "Control for other covariates", "Conclusion", "Reference" ], "created": "2024-12-24 04:59:20", "modified": "2025-08-31 16:31:04", "commits": 4 }, { "source": "PartialRegression.Rmd", "filename": "PartialRegression.html", "title": "Partial Regression", "engine": "knitr::rmarkdown", "headings": [ "Multiple regression with t-test", "Hierarchical regression with F-test", "The PRE of the single parameter", "One-predictor regression using the residuals" ], "created": "2024-11-05 15:25:36", "modified": "2026-04-12 18:43:06", "commits": 9 }, { "source": "PlanSampleSize.Rmd", "filename": "PlanSampleSize.html", "title": "Plan Sample Size", "engine": "knitr::rmarkdown", "headings": [ "Understand the arguments of power_lm()", "PRE", "PA and PC", "Application", "A set of predictors", "A continuous predictor", "Moderation model", "One-sample t -test or an intercept-only regression", "Two-sample t -test or a binary predictor", "ANOVA or a multicategorical predictor", "ANOVA concerning repeated measures", "Reference" ], "created": "2024-11-24 18:17:05", "modified": "2026-04-12 18:43:06", "commits": 12 }, { "source": "PRE.Rmd", "filename": "PRE.html", "title": "PRE", "engine": "knitr::rmarkdown", "headings": [], "created": "2024-11-06 02:53:03", "modified": "2026-04-13 03:50:03", "commits": 9 } ], "_score": 5.832508912706237, "_indexed": true, "_nocasepkg": "keng", "_universes": [ "qyaozh" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2026.3.19.9000", "date": "2026-05-24T15:25:52.000Z", "distro": "noble", "commit": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "fileid": "e3bfdc0262e1d404829704b64cd7710e8c1f1bd1a5c140e3eccc62389e303a0d", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407" }, { "r": "4.6.0", "os": "linux", "version": "2026.3.19.9000", "date": "2026-05-24T15:25:23.000Z", "distro": "noble", "commit": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "fileid": "af414541b6b39cbd2b78ae03e6c5385f1966f4be4f97ed648973a98e63490d23", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407" }, { "r": "4.5.3", "os": "mac", "version": "2026.3.19.9000", "date": "2026-05-24T15:25:07.000Z", "commit": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "fileid": "3ad66bdb706c3c3043c1216dc3fc1d6eed15f0e43708bac4a1adfe4960cf8328", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407" }, { "r": "4.6.0", "os": "mac", "version": "2026.3.19.9000", "date": "2026-05-24T15:24:53.000Z", "commit": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "fileid": "ab2a6da33575b9f14c4639081866c556ef3ca1e457e3ef9e2164353fea5c36ec", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407" }, { "r": "4.6.0", "os": "wasm", "version": "2026.3.19.9000", "date": "2026-05-24T15:25:17.000Z", "commit": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "fileid": "fee1a7ad0055f120e71cb6c66ba398f3578ca7adc4e31c3ae4c23054cb927361", "status": "success", "buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407" }, { "r": "4.7.0", "os": "win", "version": "2026.3.19.9000", "date": "2026-05-24T15:24:25.000Z", "commit": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "fileid": "e6342c83e624a4719c9ff2fdf95ef11af2bd77bc7da54fc685b98ddc621445bb", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407" }, { "r": "4.5.3", "os": "win", "version": "2026.3.19.9000", "date": "2026-05-24T15:24:34.000Z", "commit": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "fileid": "ffe4d76dd4581b8842f5214fa225b5c70e60eb0462b0110099da9733bc6a84a7", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407" }, { "r": "4.6.0", "os": "win", "version": "2026.3.19.9000", "date": "2026-05-24T15:24:24.000Z", "commit": "1cb1220e97decc3f319a914ca6cd48bbc3ae76aa", "fileid": "95e9feb7dcc7fc6f266041613dc20da5dd5bb0b04133dd2d47f41bb071352889", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/qyaozh/actions/runs/26365056407" } ] }