{ "_id": "6a101139acfb0bcc41c826a4", "Package": "rencher", "Title": "Datasets from the Book \"Methods of Multivariate Analysis (3rd)\"", "Version": "0.1.4", "Authors@R": "c(\nperson(\"Atefeh Rashidi Pour\", \"\", email = \"rashidiatefeh98@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Fatemeh Naderi\", \"\", email = \"fatemeh.naderi7999@gmail.com\", role = \"aut\")\n)", "Description": "Provides the datasets in the book \"Methods of Multivariate\nAnalysis (3rd)\", such as Table 6.27 Blood Pressure Data, for\nstatistical analysis,especially MANOVA. The dataset names\ncorrespond to their numbering in the third edition of the book,\nsuch as table6.27. Based on the book by Rencher and Christensen\n(2012, ISBN:9780470178966).", "License": "GPL-3", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "LazyData": "true", "URL": "https://github.com/AtefehRashidi/rencher", "BugReports": "https://github.com/AtefehRashidi/rencher/issues", "Repository": "https://atefehrashidi.r-universe.dev", "Date/Publication": "2026-02-21 20:45:11 UTC", "RemoteUrl": "https://github.com/atefehrashidi/rencher", "RemoteRef": "HEAD", "RemoteSha": "8ad126769216e5a819fa8ec9382294dfb59e4566", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-22 08:15:31 UTC", "User": "root" }, "Author": "Atefeh Rashidi Pour [aut, cre],\nFatemeh Naderi [aut]", "Maintainer": "Atefeh Rashidi Pour ", "MD5sum": "782fc3e9742c3e04274634ad9c5831e9", "_user": "atefehrashidi", "_type": "src", "_file": "rencher_0.1.4.tar.gz", "_fileid": "f9ee06b23e0f59974890c9b07c0cca3e3d15295e376c1d59b222ad14d7519ed5", "_filesize": 237501, "_sha256": 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"version": "0.1.6", "date": "2026-02-16" } ], "_exports": [], "_datasets": [ { "name": "table10.1", "title": "Table 10.1 Chemical Reaction Data", "object": "table10.1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "ExperimentNumber", "y1", "y2", "y3", "x1", "x2", "x3" ], "rows": 19, "table": true, "tojson": true }, { "name": "table13.1", "title": "Table 13.1", "object": "table13.1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "People", "Kind", "Intelligent", "Happy", "Likeable", "Just" ], "rows": 7, "table": true, "tojson": true }, { "name": "table15.1", "title": "Table 15.1 City Crime Rates per 100,000 Population", "object": "table15.1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "City", "Murder", "Rape", "Robbery", "Assault", "Burglary", "Larceny", "AutoTheft" ], "rows": 16, "table": true, "tojson": true }, { "name": "table15.13", "title": "Table 15.13 Air Pollution Levels in US Cities", "object": "table15.13", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Cities", "y1", "y2", "y3", "y4", "y5", "y6", "y7" ], "rows": 41, "table": true, "tojson": true }, { "name": "table15.14", "title": "Table 15.14 Yields of Winter Wheat (kg per unit area)", "object": "table15.14", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Site", "y_1970", "y_1971", "y_1972", "y_1973" ], "rows": 12, "table": true, "tojson": true }, { "name": "table15.7", "title": "Table 15.7 Protein Data", "object": "table15.7", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Country", "RedMeat", "WhiteMeat", "Eggs", "Milk", "Fish", "Cereals", "StarchyFoods", "Nuts", "Fruit/Veg" ], "rows": 25, "table": true, "tojson": true }, { "name": "table16.1", "title": "Table 16.1 Airline Distances Between Ten US Cities", "object": "table16.1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "City", "Atlanta", "Chicago", "Denver", "Houston", "LosAngeles", "Miami", "NewYork", "SanFrancisco", "Seattle", "WashingtonDC" ], "rows": 10, "table": true, "tojson": true }, { "name": "table16.13", "title": "Table 16.13 Do-It-Yourself Data", "object": "table16.13", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "AccommodationType", "Work", "Tenure", "Response", "Age_1", "Age_2", "Age_3" ], "rows": 24, "table": true, "tojson": true }, { "name": "table16.16", "title": "Table 16.16 Dissimilarity Matrix for World War II Politicians oliticians", "object": "table16.16", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Person", "Hitler", "Mussolini", "Churchill", "Eisenhower", "Stalin", "Attlee", "Franco", "De Gaulle", "Mao Tse", "Truman", "Chamberlain", "Tito" ], "rows": 12, "table": true, "tojson": true }, { "name": "table16.17", "title": "Table 16.17", "object": "table16.17", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Birth_Death", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec" ], "rows": 12, "table": true, "tojson": true }, { "name": "table16.19", "title": "Table 16.19 Byssinosis Data", "object": "table16.19", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Race", "Smoking", "Gender", "Years_in_Job", "SufferByssi_nosis", "High_dust", "Low_dust", "Med_dust" ], "rows": 48, "table": true, "tojson": true }, { "name": "table16.8", "title": "Table 16.8 A List of 12 People and Their Categories on Four Variable", "object": "table16.8", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Person", "Gender", "Age", "MaritalStatus", "HairColor" ], "rows": 12, "table": true, "tojson": true }, { "name": "table3.1", "title": "Table 3.1", "object": "table3.1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "person", "x", "y" ], "rows": 20, "table": true, "tojson": true }, { "name": "table3.2", "title": "Table 3.2", "object": "table3.2", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "State", "y_1932", "y_1936", "y_1940", "y_1960", "y_1964", "y_1968" ], "rows": 6, "table": true, "tojson": true }, { "name": "table3.3", "title": "Table 3.4", "object": "table3.3", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "LocationNumber", "y1", "y2", "y3" ], "rows": 10, "table": true, "tojson": true }, { "name": "table3.4", "title": "Table 3.4", "object": "table3.4", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "PatientNumber", "y1", "y2", "x1", "x2", "x3" ], "rows": 46, "table": true, "tojson": true }, { "name": "table3.5", "title": "Table 3.5", "object": "table3.5", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "SubjectNumber", "y1", "y2", "y3", "y4", "y5" ], "rows": 11, "table": true, "tojson": true }, { "name": "table3.6", "title": "Table 3.6", "object": "table3.6", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Individual", "y1", "y2", "y3", "y4" ], "rows": 20, "table": true, "tojson": true }, { "name": "table3.7", "title": "Table 3.7", "object": "table3.7", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "y1", "y2", "x1", "x2" ], "rows": 25, "table": true, "tojson": true }, { "name": "table3.8", "title": "Table 3.8", "object": "table3.8", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "y1", "y2", "y3", "x1", "x2", "x3" ], "rows": 49, "table": true, "tojson": true }, { "name": "table4.2", "title": "Table 4.2 Table 4.2 Hematology Data", "object": "table4.2", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "ObservationNumber", "y1", "y2", "y3", "y4", "y5", "y6" ], "rows": 51, "table": true, "tojson": true }, { "name": "table5.1", "title": "Table 5.1", "object": "table5.1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "y1", "y2", "y3", "y4" ], "rows": 64, "table": true, "tojson": true }, { "name": "table5.10", "title": "Table 5.10", "object": "table5.10", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "y1", "y2", "x1", "x2" ], "rows": 16, "table": true, "tojson": true }, { "name": "table5.3", "title": "Table 5.3", "object": "table5.3", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Location", "y1", "y2", "x1", "x2", "d1", "d2" ], "rows": 15, "table": true, "tojson": true }, { "name": "table5.5", "title": "Table 5.5", "object": "table5.5", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Number", "Group", "y1", "y2", "y3", "y4" ], "rows": 39, "table": true, "tojson": true }, { "name": "table5.6", "title": "Table 5.6", "object": "table5.6", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "E_y1", "E_y2", "E_y3", "E_y4", "E_y5", "E_y6", "P_y1", "P_y2", "P_y3", "P_y4", "P_y5", "P_y6" ], "rows": 20, "table": true, "tojson": true }, { "name": "table5.7", "title": "Table 5.7 Comparison of Carriers and Noncarriers of Muscular Dystrophy", "object": "table5.7", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "y1", "y2", "y3", "y4", "y5", "y6" ], "rows": 73, "table": true, "tojson": true }, { "name": "table5.8", "title": "Table 5.8", "object": "table5.8", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Item", "Group", "y1", "y2", "y3", "y4" ], "rows": 19, "table": true, "tojson": true }, { "name": "table5.9", "title": "Table5.9", "object": "table5.9", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Student", "y1", "y2", "x1", "x2", "d1 = y1-x1", "d2 = y2-x2" ], "rows": 15, "table": true, "tojson": true }, { "name": "table6.16", "title": "Table 6.16", "object": "table6.16", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Sex", "Subject", "y_8", "y_10", "y_12", "y_14" ], "rows": 27, "table": true, "tojson": true }, { "name": "table6.17", "title": "Table 6.17 Judges' Scores on Fish Prepared by Three Methods", "object": "table6.17", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "y1_1", "y1_2", "y1_3", "y1_4", "y2_1", "y2_2", "y2_3", "y2_4", "y3_1", "y3_2", "y3_3", "y3_4" ], "rows": 12, "table": true, "tojson": true }, { "name": "table6.18", "title": "Table 6.18", "object": "table6.18", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "S", "V", "ID", "y1", "y2", "y3", "y4" ], "rows": 60, "table": true, "tojson": true }, { "name": "table6.19", "title": "Table 6.19", "object": "table6.19", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Subject", "R1_y1", "R1_y2", "R1_y3", "R2_y1", "R2_y2", "R2_y3", "R3_y1", "R3_y2", "R3_y3", "R4_y1", "R4_y2", "R4_y3" ], "rows": 20, "table": true, "tojson": true }, { "name": "table6.21", "title": "Table 6.21 Table 6.21 Weights of Cork Borings (eg) in Four Directions for 28 Trees", "object": "table6.21", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Tree", "N", "E", "S", "W" ], "rows": 28, "table": true, "tojson": true }, { "name": "table6.22", "title": "Table 6.22 Survival Times for Cancer Patients", "object": "table6.22", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "TypeofCancer", "Gender", "Age", "y1", "y2", "y3", "y4" ], "rows": 63, "table": true, "tojson": true }, { "name": "table6.23", "title": "Table 6.23", "object": "table6.23", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Mouse", "Day 3", "Day 6", "Day 9", "Day 12", "Day 15", "Day 18", "Day 21" ], "rows": 13, "table": true, "tojson": true }, { "name": "table6.24", "title": "Table 6.24", "object": "table6.24", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "Time_1", "Time_2", "Time_3", "Time_4" ], "rows": 12, "table": true, "tojson": true }, { "name": "table6.25", "title": "Weekly Gains in Weight for 27 Rats", "object": "table6.25", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "Rat", "y1", "y2", "y3", "y4" ], "rows": 27, "table": true, "tojson": true }, { "name": "table6.26", "title": "Coronary Sinus Potassium Measured at 2-Minute Intervals on Dogs Table 6.26 contains measurements of coronary sinus potassium at 2-minute intervals after coronary occlusion on four groups of dogs", "object": "table6.26", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "Time_1", "Time_3", "Time_5", "Time_7", "Time_9", "Time_11", "Time_13" ], "rows": 36, "table": true, "tojson": true }, { "name": "table6.27", "title": "Blood Pressure Data", "object": "table6.27", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "M_1", "M_5", "M_10", "M_15", "M_30", "M_60" ], "rows": 31, "table": true, "tojson": true }, { "name": "table6.28", "title": "Plasma Inorganic Phosphate (mg/dl)", "object": "table6.28", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Patient", "Group", "H_0", "H_0.5", "H_1", "H_1.5", "H_2", "H_3", "H_4", "H_5" ], "rows": 33, "table": true, "tojson": true }, { "name": "table6.29", "title": "Mandible Measurements", "object": "table6.29", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "Subject", "A1_y1", "A1_y2", "A1_y3", "A2_y1", "A2_y2", "A2_y3", "A3_y1", "A3_y2", "A3_y3" ], "rows": 18, "table": true, "tojson": true }, { "name": "table6.6", "title": "Table 6.6 Table 6.6 Two-Way Classification of Measurements on Bar Ste", "object": "table6.6", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Lubricant", "A1_y1", "A1_y2", "A2_y1", "A2_y2" ], "rows": 16, "table": true, "tojson": true }, { "name": "table6.8", "title": "Table 6.8 Table 6.8 Weight of Guinea Pigs Under 3 Levels of Vitamin E Supplements", "object": "table6.8", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "Animal", "Week 1", "Week 3", "Week 4", "Week 5", "Week 6", "Week 7" ], "rows": 15, "table": true, "tojson": true }, { "name": "table7.1", "title": "Seishu Measurements", "object": "table7.1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "y1", "y2", "x1", "x2", "x3", "x4", "x5", "x6", "x7", "x8" ], "rows": 30, "table": true, "tojson": true }, { "name": "table7.2", "title": "Table 7.2 Temperati, Humidity, and Evaporation", "object": "table7.2", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "y1", "y2", "y3", "y4", "y5", "y6", "y7", "y8", "y9", "y10", "y11" ], "rows": 46, "table": true, "tojson": true }, { "name": "table8.1", "title": "Table 8.1", "object": "table8.1", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Temperatures", "y1", "y2" ], "rows": 12, "table": true, "tojson": true }, { "name": "table8.3", "title": "Table 8.3 Head Measurements for Three Groups", "object": "table8.3", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Group", "WDIM", "CIRCUM", "FBEYE", "EYEHD", "EARHD", "JAW" ], "rows": 90, "table": true, "tojson": true } ], "_help": [ { "page": "table10.1", "title": "Table 10.1 Chemical Reaction Data", "topics": [ "table10.1" ] }, { "page": "table13.1", "title": "Table 13.1", "topics": [ "table13.1" ] }, { "page": "table15.1", "title": "Table 15.1 City Crime Rates per 100,000 Population", "topics": [ "table15.1" ] }, { "page": "table15.13", "title": "Table 15.13 Air Pollution Levels in US Cities", "topics": [ "table15.13" ] }, { "page": "table15.14", "title": "Table 15.14 Yields of Winter Wheat (kg per unit area)", "topics": [ "table15.14" ] }, { "page": "table15.7", "title": "Table 15.7 Protein Data", "topics": [ "table15.7" ] }, { "page": "table16.1", "title": "Table 16.1 Airline Distances Between Ten US Cities", "topics": [ "table16.1" ] }, { "page": "table16.13", "title": "Table 16.13 Do-It-Yourself Data", "topics": [ "table16.13" ] }, { "page": "table16.16", "title": "Table 16.16 Dissimilarity Matrix for World War II Politicians oliticians", "topics": [ "table16.16" ] }, { "page": "table16.17", "title": "Table 16.17", "topics": [ "table16.17" ] }, { "page": "table16.19", "title": "Table 16.19 Byssinosis Data", "topics": [ "table16.19" ] }, { "page": "table16.8", "title": "Table 16.8 A List of 12 People and Their Categories on Four Variable", "topics": [ "table16.8" ] }, { "page": "table3.1", "title": "Table 3.1", "topics": [ "table3.1" ] }, { "page": "table3.2", "title": "Table 3.2", "topics": [ "table3.2" ] }, { "page": "table3.3", "title": "Table 3.4", "topics": [ "table3.3" ] }, { "page": "table3.4", "title": "Table 3.4", "topics": [ "table3.4" ] }, { "page": "table3.5", "title": "Table 3.5", "topics": [ "table3.5" ] }, { "page": "table3.6", "title": "Table 3.6", "topics": [ "table3.6" ] }, { "page": "table3.7", "title": "Table 3.7", "topics": [ "table3.7" ] }, { "page": "table3.8", "title": "Table 3.8", "topics": [ "table3.8" ] }, { "page": "table4.2", "title": "Table 4.2 Table 4.2 Hematology Data", "topics": [ "table4.2" ] }, { "page": "table5.1", "title": "Table 5.1", "topics": [ "table5.1" ] }, { "page": "table5.10", "title": "Table 5.10", "topics": [ "table5.10" ] }, { "page": "table5.3", "title": "Table 5.3", "topics": [ "table5.3" ] }, { "page": "table5.5", "title": "Table 5.5", "topics": [ "table5.5" ] }, { "page": "table5.6", "title": "Table 5.6", "topics": [ "table5.6" ] }, { "page": "table5.7", "title": "Table 5.7 Comparison of Carriers and Noncarriers of Muscular Dystrophy", "topics": [ "table5.7" ] }, { "page": "table5.8", "title": "Table 5.8", "topics": [ "table5.8" ] }, { "page": "table5.9", "title": "Table5.9", "topics": [ "table5.9" ] }, { "page": "table6.16", "title": "Table 6.16", "topics": [ "table6.16" ] }, { "page": "table6.17", "title": "Table 6.17 Judges' Scores on Fish Prepared by Three Methods", "topics": [ "table6.17" ] }, { "page": "table6.18", "title": "Table 6.18", "topics": [ "table6.18" ] }, { "page": "table6.19", "title": "Table 6.19", "topics": [ "table6.19" ] }, { "page": "table6.21", "title": "Table 6.21 Table 6.21 Weights of Cork Borings (eg) in Four Directions for 28 Trees", "topics": [ "table6.21" ] }, { "page": "table6.22", "title": "Table 6.22 Survival Times for Cancer Patients", "topics": [ "table6.22" ] }, { "page": "table6.23", "title": "Table 6.23", "topics": [ "table6.23" ] }, { "page": "table6.24", "title": "Table 6.24", "topics": [ "table6.24" ] }, { "page": "table6.25", "title": "Weekly Gains in Weight for 27 Rats", "topics": [ "table6.25" ] }, { "page": "table6.26", "title": "Coronary Sinus Potassium Measured at 2-Minute Intervals on Dogs Table 6.26 contains measurements of coronary sinus potassium at 2-minute intervals after coronary occlusion on four groups of dogs", "topics": [ "table6.26" ] }, { "page": "table6.27", "title": "Blood Pressure Data", "topics": [ "table6.27" ] }, { "page": "table6.28", "title": "Plasma Inorganic Phosphate (mg/dl)", "topics": [ "table6.28" ] }, { "page": "table6.29", "title": "Mandible Measurements", "topics": [ "table6.29" ] }, { "page": "table6.6", "title": "Table 6.6 Table 6.6 Two-Way Classification of Measurements on Bar Ste", "topics": [ "table6.6" ] }, { "page": "table6.8", "title": "Table 6.8 Table 6.8 Weight of Guinea Pigs Under 3 Levels of Vitamin E Supplements", "topics": [ "table6.8" ] }, { "page": "table7.1", "title": "Seishu Measurements", "topics": [ "table7.1" ] }, { "page": "table7.2", "title": "Table 7.2 Temperati, Humidity, and Evaporation", "topics": [ "table7.2" ] }, { "page": "table8.1", "title": "Table 8.1", "topics": [ "table8.1" ] }, { "page": "table8.3", "title": "Table 8.3 Head Measurements for Three Groups", "topics": [ "table8.3" ] 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