r - 为什么我在使用管道和基本功能时大多会收到“'...' is not empty”错误？

Question

我对 R 很陌生，但似乎越来越频繁地出现此错误，尤其是在使用管道运算符时：

“错误：...不为空。我们检测到这些有问题的参数：

• logical

这些点仅存在以允许将来扩展并且应该为空。
你是不是把论据指定错了？”

我什至可以通过以下简单功能获得它select：

HM_74_Duplicates_test <- HM_74_Duplicates %>%
  select(State)

HM_74_Duplicates加载为data.frame,tidyverse在库中。

我究竟做错了什么？

    HM74_1 <- read.csv("/Users/spencepurnell/Downloads/hm74_r - Base_Sheet.csv")

HM74_1 <- as.data.frame(HM74_1)

#Convert Appropriate Metrics to Numeric
HM74_1$Total.Interstate <- as.numeric(gsub(",","", HM74_1$Total.Interstate))
HM74_1$Total.OFE <- as.numeric(gsub(",","", HM74_1$Total.OFE))
HM74_1$Total.OPA <- as.numeric(gsub(",","", HM74_1$Total.OPA))
HM74_1$Total.Arterial..Minor. <- as.numeric(gsub(",","", HM74_1$Total.Arterial..Minor.))

#Creates new True/False column for duplicate variables where TRUE = DUPLICATE 
HM74_1 <- HM74_1 %>% 
  group_by(Federal.Area) %>%
  mutate(duplicate.flag = n() > 1) %>% 
  ungroup()  

#Creates df of duplicates using new TRUE/FAlSE column
HM_74_Duplicates <- HM74_1 %>%
  filter(duplicate.flag == TRUE) 

#Duplicates as data.frame
HM_74_Duplicates <- as.data.frame(HM_74_Duplicates)

#Select State
HM_74_Duplicates_Test <- HM_74_Duplicates %>%
  select(State)

#dput
dput(HM_74_Duplicates)

这是 dput 的输出：

structure(list(Federal.Area = structure(c(10L, 10L, 29L, 29L, 
42L, 42L, 46L, 46L, 55L, 55L, 60L, 60L, 69L, 69L, 80L, 80L, 82L, 
82L, 84L, 84L, 86L, 86L, 86L, 87L, 87L, 95L, 95L, 104L, 104L, 
104L, 110L, 110L, 123L, 123L, 125L, 125L, 126L, 126L, 128L, 128L, 
134L, 134L, 132L, 132L, 138L, 138L, 142L, 142L, 144L, 144L, 153L, 
153L, 162L, 162L, 166L, 166L, 179L, 179L, 179L, 199L, 199L, 199L, 
222L, 222L, 226L, 226L, 231L, 231L, 251L, 251L, 264L, 264L, 286L, 
286L, 286L, 289L, 289L, 294L, 294L, 309L, 309L, 312L, 312L, 318L, 
318L, 318L, 322L, 322L, 328L, 328L, 336L, 336L, 338L, 338L, 341L, 
341L, 341L, 341L, 353L, 353L, 354L, 354L, 356L, 356L, 358L, 358L, 
381L, 381L, 411L, 411L, 411L, 414L, 414L, 420L, 420L, 426L, 426L, 
427L, 427L, 437L, 437L, 441L, 441L, 465L, 465L, 467L, 467L, 467L, 
473L, 473L, 473L, 477L, 477L, 487L, 487L, 491L, 491L), .Label = c("Aberdeen--Bel Air South--Bel Air North, MD", 
"Abilene, TX", "Aguadilla--Isabela--San Sebastian, PR", "Akron, OH", 
"Albany--Schenectady, NY", "Albany, GA", "Albany, OR", "Albuquerque, NM", 
"Alexandria, LA", "Allentown, PA--NJ", "Alton, IL--MO", "Altoona, PA", 
"Amarillo, TX", "Ames, IA", "Anchorage, AK", "Anderson, IN", 
"Anderson, SC", "Ann Arbor, MI", "Anniston--Oxford, AL", "Antioch, CA", 
"Appleton, WI", "Arecibo, PR", "Arroyo Grande--Grover Beach, CA", 
"Asheville, NC", "Athens-Clarke County, GA", "Atlanta, GA", "Atlantic City, NJ", 
"Auburn, AL", "Augusta-Richmond County, GA--SC", "Austin, TX", 
"Avondale--Goodyear, AZ", "Bakersfield, CA", "Baltimore, MD", 
"Bangor, ME", "Barnstable Town, MA", "Baton Rouge, LA", "Battle Creek, MI", 
"Bay City, MI", "Beaumont, TX", "Beckley, WV", "Bellingham, WA", 
"Beloit, WI--IL", "Bend, OR", "Benton Harbor--St. Joseph--Fair Plain, MI", 
"Billings, MT", "Binghamton, NY--PA", "Birmingham, AL", "Bismarck, ND", 
"Blacksburg, VA", "Bloomington--Normal, IL", "Bloomington, IN", 
"Bloomsburg--Berwick, PA", "Boise City, ID", "Bonita Springs, FL", 
"Boston, MA--NH--RI", "Boulder, CO", "Bowling Green, KY", "Bremerton, WA", 
"Bridgeport--Stamford, CT--NY", "Bristol--Bristol, TN--VA", "Brownsville, TX", 
"Brunswick, GA", "Buffalo, NY", "Burlington, NC", "Burlington, VT", 
"Camarillo, CA", "Canton, OH", "Cape Coral, FL", "Cape Girardeau, MO--IL", 
"Carbondale, IL", "Carson City, NV", "Cartersville, GA", "Casa Grande, AZ", 
"Casper, WY", "Cedar Rapids, IA", "Chambersburg, PA", "Champaign, IL", 
"Charleston--North Charleston, SC", "Charleston, WV", "Charlotte, NC--SC", 
"Charlottesville, VA", "Chattanooga, TN--GA", "Cheyenne, WY", 
"Chicago, IL--IN", "Chico, CA", "Cincinnati, OH--KY--IN", "Clarksville, TN--KY", 
"Cleveland, OH", "Cleveland, TN", "Coeur d'Alene, ID", "College Station--Bryan, TX", 
"Colorado Springs, CO", "Columbia, MO", "Columbia, SC", "Columbus, GA--AL", 
"Columbus, IN", "Columbus, OH", "Concord, CA", "Concord, NC", 
"Conroe--The Woodlands, TX", "Conway, AR", "Corpus Christi, TX", 
"Corvallis, OR", "Cumberland, MD--WV--PA", "Dallas--Fort Worth--Arlington, TX", 
"Dalton, GA", "Danbury, CT--NY", "Danville, IL", "Daphne--Fairhope, AL", 
"Davenport, IA--IL", "Davis, CA", "Dayton, OH", "Decatur, AL", 
"Decatur, IL", "DeKalb, IL", "Delano, CA", "Deltona, FL", "Denton--Lewisville, TX", 
"Denver--Aurora, CO", "Des Moines, IA", "Detroit, MI", "Dothan, AL", 
"Dover--Rochester, NH--ME", "Dover, DE", "Dubuque, IA--IL", "Duluth, MN--WI", 
"Durham, NC", "East Stroudsburg, PA--NJ", "Eau Claire, WI", "El Centro--Calexico, CA", 
"El Paso de Robles (Paso Robles)--Atascadero, CA", "El Paso, TX--NM", 
"Elizabethtown--Radcliff, KY", "Elkhart, IN--MI", "Elmira, NY", 
"Erie, PA", "Eugene, OR", "Evansville, IN--KY", "Fairbanks, AK", 
"Fairfield, CA", "Fajardo, PR", "Fargo, ND--MN", "Farmington, NM", 
"Fayetteville--Springdale--Rogers, AR--MO", "Fayetteville, NC", 
"Flagstaff, AZ", "Flint, MI", "Florence, AL", "Florence, SC", 
"Florida--Imbery--Barceloneta, PR", "Fond du Lac, WI", "Fort Collins, CO", 
"Fort Smith, AR--OK", "Fort Walton Beach--Navarre--Wright, FL", 
"Fort Wayne, IN", "Frederick, MD", "Fredericksburg, VA", "Fresno, CA", 
"Gadsden, AL", "Gainesville, FL", "Gainesville, GA", "Gastonia, NC--SC", 
"Gilroy--Morgan Hill, CA", "Glens Falls, NY", "Goldsboro, NC", 
"Grand Forks, ND--MN", "Grand Island, NE", "Grand Junction, CO", 
"Grand Rapids, MI", "Grants Pass, OR", "Great Falls, MT", "Greeley, CO", 
"Green Bay, WI", "Greensboro, NC", "Greenville, NC", "Greenville, SC", 
"Guayama, PR", "Gulfport, MS", "Hagerstown, MD--WV--PA", "Hammond, LA", 
"Hanford, CA", "Hanover, PA", "Harlingen, TX", "Harrisburg, PA", 
"Harrisonburg, VA", "Hartford, CT", "Hattiesburg, MS", "Hazleton, PA", 
"Hemet, CA", "Hickory, NC", "High Point, NC", "Hilton Head Island, SC", 
"Hinesville, GA", "Holland, MI", "Homosassa Springs--Beverly Hills--Citrus Springs, FL", 
"Hot Springs, AR", "Houma, LA", "Houston, TX", "Huntington, WV--KY--OH", 
"Huntsville, AL", "Idaho Falls, ID", "Indianapolis, IN", "Indio--Cathedral City, CA", 
"Iowa City, IA", "Ithaca, NY", "Jackson, MI", "Jackson, MS", 
"Jackson, TN", "Jacksonville, FL", "Jacksonville, NC", "Janesville, WI", 
"Jefferson City, MO", "Johnson City, TN", "Johnstown, PA", "Jonesboro, AR", 
"Joplin, MO", "Juana Diaz, PR", "Kahului, HI", "Kailua (Honolulu County)--Kaneohe, HI", 
"Kalamazoo, MI", "Kankakee, IL", "Kansas City, MO--KS", "Kennewick--Pasco, WA", 
"Kenosha, WI--IL", "Killeen, TX", "Kingsport, TN--VA", "Kingston, NY", 
"Kissimmee, FL", "Knoxville, TN", "Kokomo, IN", "La Crosse, WI--MN", 
"Lady Lake--The Villages, FL", "Lafayette--Louisville--Erie, CO", 
"Lafayette, IN", "Lafayette, LA", "Lake Charles, LA", "Lake Havasu City, AZ", 
"Lake Jackson--Angleton, TX", "Lakeland, FL", "Lancaster--Palmdale, CA", 
"Lancaster, PA", "Lansing, MI", "Laredo, TX", "Las Cruces, NM", 
"Las Vegas--Henderson, NV", "Lawrence, KS", "Lawton, OK", "Lebanon, PA", 
"Leesburg--Eustis--Tavares, FL", "Leominster--Fitchburg, MA", 
"Lewiston, ID--WA", "Lewiston, ME", "Lexington Park--California--Chesapeake Ranch Estates, MD", 
"Lexington-Fayette, KY", "Lima, OH", "Lincoln, NE", "Little Rock, AR", 
"Livermore, CA", "Lodi, CA", "Logan, UT", "Lompoc, CA", "Longmont, CO", 
"Longview, TX", "Longview, WA--OR", "Lorain--Elyria, OH", "Los Angeles--Long Beach--Anaheim, CA", 
"Los Lunas, NM", "Louisville/Jefferson County, KY--IN", "Lubbock, TX", 
"Lynchburg, VA", "Macon, GA", "Madera, CA", "Madison, WI", "Manchester, NH", 
"Mandeville--Covington, LA", "Manhattan, KS", "Mankato, MN", 
"Mansfield, OH", "Manteca, CA", "Marysville, WA", "Mauldin--Simpsonville, SC", 
"Mayagüez, PR", "McAllen, TX", "McKinney, TX", "Medford, OR", 
"Memphis, TN--MS--AR", "Merced, CA", "Miami, FL", "Michigan City--La Porte, IN--MI", 
"Middletown, OH", "Midland, MI", "Midland, TX", "Milwaukee, WI", 
"Minneapolis--St. Paul, MN--WI", "Mission Viejo--Lake Forest--San Clemente, CA", 
"Missoula, MT", "Mobile, AL", "Modesto, CA", "Monessen--California, PA", 
"Monroe, LA", "Monroe, MI", "Montgomery, AL", "Morgantown, WV", 
"Morristown, TN", "Mount Vernon, WA", "Muncie, IN", "Murrieta--Temecula--Menifee, CA", 
"Muskegon, MI", "Myrtle Beach--Socastee, SC--NC", "Nampa, ID", 
"Napa, CA", "Nashua, NH--MA", "Nashville-Davidson, TN", "New Bedford, MA", 
"New Bern, NC", "New Haven, CT", "New Orleans, LA", "New York--Newark, NY--NJ--CT", 
"Newark, OH", "Norman, OK", "North Port--Port Charlotte, FL", 
"Norwich--New London, CT--RI", "Ocala, FL", "Odessa, TX", "Ogden--Layton, UT", 
"Oklahoma City, OK", "Olympia--Lacey, WA", "Omaha, NE--IA", "Orlando, FL", 
"Oshkosh, WI", "Owensboro, KY", "Oxnard, CA", "Palm Bay--Melbourne, FL", 
"Palm Coast--Daytona Beach--Port Orange, FL", "Panama City, FL", 
"Parkersburg, WV--OH", "Pascagoula, MS", "Pensacola, FL--AL", 
"Peoria, IL", "Petaluma, CA", "Philadelphia, PA--NJ--DE--MD", 
"Phoenix--Mesa, AZ", "Pine Bluff, AR", "Pittsburgh, PA", "Pittsfield, MA", 
"Pocatello, ID", "Ponce, PR", "Port Arthur, TX", "Port Huron, MI", 
"Port St. Lucie, FL", "Porterville, CA", "Portland, ME", "Portland, OR--WA", 
"Portsmouth, NH--ME", "Pottstown, PA", "Poughkeepsie--Newburgh, NY--NJ", 
"Prescott Valley--Prescott, AZ", "Providence, RI--MA", "Provo--Orem, UT", 
"Pueblo, CO", "Racine, WI", "Raleigh, NC", "Rapid City, SD", 
"Reading, PA", "Redding, CA", "Reno, NV--CA", "Richmond, VA", 
"Riverside--San Bernardino, CA", "Roanoke, VA", "Rochester, MN", 
"Rochester, NY", "Rock Hill, SC", "Rockford, IL", "Rocky Mount, NC", 
"Rome, GA", "Round Lake Beach--McHenry--Grayslake, IL--WI", "Sacramento, CA", 
"Saginaw, MI", "Salem, OR", "Salinas, CA", "Salisbury, MD--DE", 
"Salt Lake City--West Valley City, UT", "San Angelo, TX", "San Antonio, TX", 
"San Diego, CA", "San Francisco--Oakland, CA", "San Germán--Cabo Rojo--Sabana Grande, PR", 
"San Jose, CA", "San Juan, PR", "San Luis Obispo, CA", "San Marcos, TX", 
"Santa Barbara, CA", "Santa Clarita, CA", "Santa Cruz, CA", "Santa Fe, NM", 
"Santa Maria, CA", "Santa Rosa, CA", "Sarasota--Bradenton, FL", 
"Saratoga Springs, NY", "Savannah, GA", "Scranton, PA", "Seaside--Monterey, CA", 
"Seattle, WA", "Sebastian--Vero Beach South--Florida Ridge, FL", 
"Sebring--Avon Park, FL", "Sheboygan, WI", "Sherman, TX", "Shreveport, LA", 
"Sierra Vista, AZ", "Simi Valley, CA", "Sioux City, IA--NE--SD", 
"Sioux Falls, SD", "Slidell, LA", "South Bend, IN--MI", "South Lyon--Howell, MI", 
"Spartanburg, SC", "Spokane, WA", "Spring Hill, FL", "Springfield, IL", 
"Springfield, MA--CT", "Springfield, MO", "Springfield, OH", 
"St. Augustine, FL", "St. Cloud, MN", "St. George, UT", "St. Joseph, MO--KS", 
"St. Louis, MO--IL", "State College, PA", "Staunton--Waynesboro, VA", 
"Stockton, CA", "Sumter, SC", "Syracuse, NY", "Tallahassee, FL", 
"Tampa--St. Petersburg, FL", "Temple, TX", "Terre Haute, IN", 
"Texarkana--Texarkana, TX--AR", "Texas City, TX", "Thousand Oaks, CA", 
"Titusville, FL", "Toledo, OH--MI", "Topeka, KS", "Tracy, CA", 
"Trenton, NJ", "Tucson, AZ", "Tulsa, OK", "Turlock, CA", "Tuscaloosa, AL", 
"Twin Rivers--Hightstown, NJ", "Tyler, TX", "Uniontown--Connellsville, PA", 
"Urban Honolulu, HI", "Utica, NY", "Vacaville, CA", "Valdosta, GA", 
"Vallejo, CA", "Victoria, TX", "Victorville--Hesperia, CA", "Villas, NJ", 
"Vineland, NJ", "Virginia Beach, VA", "Visalia, CA", "Waco, TX", 
"Waldorf, MD", "Walla Walla, WA--OR", "Warner Robins, GA", "Washington, DC--VA--MD", 
"Waterbury, CT", "Waterloo, IA", "Watertown, NY", "Watsonville, CA", 
"Wausau, WI", "Weirton--Steubenville, WV--OH--PA", "Wenatchee, WA", 
"West Bend, WI", "Westminster--Eldersburg, MD", "Wheeling, WV--OH", 
"Wichita Falls, TX", "Wichita, KS", "Williamsburg, VA", "Williamsport, PA", 
"Wilmington, NC", "Winchester, VA", "Winston-Salem, NC", "Winter Haven, FL", 
"Woodland, CA", "Worcester, MA--CT", "Yakima, WA", "Yauco, PR", 
"York, PA", "Youngstown, OH--PA", "Yuba City, CA", "Yuma, AZ--CA"
), class = "factor"), State = structure(c(32L, 39L, 11L, 42L, 
15L, 50L, 35L, 39L, 20L, 31L, 44L, 47L, 15L, 25L, 28L, 42L, 11L, 
44L, 15L, 16L, 16L, 18L, 36L, 18L, 44L, 2L, 11L, 21L, 39L, 51L, 
13L, 15L, 22L, 31L, 13L, 15L, 24L, 50L, 32L, 39L, 16L, 23L, 33L, 
45L, 16L, 18L, 24L, 29L, 3L, 25L, 3L, 37L, 28L, 42L, 24L, 29L, 
21L, 39L, 51L, 18L, 36L, 51L, 17L, 25L, 44L, 47L, 24L, 50L, 14L, 
49L, 38L, 49L, 3L, 26L, 44L, 16L, 23L, 24L, 50L, 28L, 42L, 20L, 
31L, 7L, 32L, 35L, 7L, 41L, 13L, 30L, 36L, 51L, 2L, 10L, 9L, 
21L, 32L, 39L, 38L, 49L, 22L, 31L, 32L, 35L, 20L, 41L, 9L, 21L, 
13L, 30L, 43L, 16L, 23L, 7L, 20L, 17L, 25L, 15L, 25L, 3L, 45L, 
23L, 36L, 38L, 49L, 8L, 21L, 47L, 36L, 39L, 51L, 36L, 51L, 7L, 
20L, 36L, 39L), .Label = c("AK", "AL", "AR", "AZ", "CA", "CO", 
"CT", "DC", "DE", "FL", "GA", "HI", "IA", "ID", "IL", "IN", "KS", 
"KY", "LA", "MA", "MD", "ME", "MI", "MN", "MO", "MS", "MT", "NC", 
"ND", "NE", "NH", "NJ", "NM", "NV", "NY", "OH", "OK", "OR", "PA", 
"PR", "RI", "SC", "SD", "TN", "TX", "UT", "VA", "VT", "WA", "WI", 
"WV", "WY"), class = "factor"), Total.Interstate = c(689297, 
2706436, 1717903, 490934, 130534, 317067, 885470, 50894, 32646738, 
750415, 295058, 1102270, 0, 405983, 15280733, 968791, 906632, 
2875733, 51046226, 5306520, 0, 4962678, 12658267, 0, 665400, 
0, 800153, 472696, 0, 0, 1016139, 1046016, 0, 0, 0, 0, 449935, 
37485, 250188, 795743, 366382, 0, 250129, 4158714, 525517, 0, 
254649, 887141, 2187800, 0, 1240781, 0, 2331335, 0, 0, 92459, 
1539373, 263465, 1603775, 0, 0, 1626514, 6888690, 11033320, 1052552, 
0, 0, 346120, 0, 0, 0, 504359, 940662, 776776, 6294099, 210203, 
0, 21739191, 0, 0, 0, 0, 885810, 0, 31682141, 25014832, 2886048, 
0, 407582, 3363031, 0, 244028, 0, 1822942, 4081638, 665964, 5732895, 
16018476, 8990522, 2081329, 224293, 1104744, 0, 3367518, 2958190, 
5244668, 0, 0, 266650, 58654, 120131, 412832, 0, 1135819, 4217187, 
0, 388515, 4979983, 22264838, 356893, 420020, 72195, 3896542, 
0, 0, 1345355, 15662071, 16145014, 0, 0, 0, 607961, 712753, 425473, 
6099553, 1558534, 32354), Total.OFE = c(18991, 2248965, 190948, 
0, 0, 0, 1093957, 0, 11419457, 71861, 0, 0, 25174, 95089, 556051, 
0, 0, 1234150, 1867285, 185095, 0, 29856, 1463447, 0, 0, 120315, 
451504, 0, 0, 0, 0, 45556, 0, 713615, 0, 0, 17964, 53959, 0, 
82757, 298458, 0, 0, 2732458, 0, 109290, 0, 0, 121637, 0, 38545, 
0, 345698, 0, 0, 0, 0, 0, 0, 0, 452960, 22893, 2135114, 4340081, 
155479, 34724, 0, 274535, 0, 6665, 0, 97324, 0, 443043, 1466411, 
0, 0, 11028645, 0, 0, 514586, 0, 1520210, 0, 26365618, 36364009, 
265284, 68995, 0, 2283375, 0, 0, 0, 0, 849261, 0, 5613574, 6723001, 
2684766, 1312244, 13385, 1124456, 0, 1168943, 533528, 3310200, 
0, 328648, 0, 80369, 0, 803930, 77071, 179135, 289219, 0, 129759, 
528606, 4253305, 21492, 43455, 75043, 346366, 0, 140417, 1031357, 
5436421, 6436357, 501657, 24393, 186054, 259871, 36741, 0, 560378, 
1100184, 62414), Total.OPA = c(228312, 2982032, 2542741, 974397, 
123570, 225424, 218533, 0, 25381617, 418212, 518696, 134505, 
0, 260528, 6710354, 483376, 356619, 1772362, 38808070, 3718556, 
0, 881091, 5388603, 66562, 1092771, 617521, 1408705, 251775, 
0, 0, 783596, 668758, 0, 267956, 500603, 58701, 474685, 222117, 
12546, 96320, 763818, 0, 89295, 4393273, 1402738, 373334, 165658, 
546181, 2195543, 25128, 776787, 97761, 1174333, 0, 38597, 326568, 
412703, 17398, 291002, 638902, 65204, 614783, 730596, 2607513, 
758708, 147880, 59452, 727375, 93805, 44389, 74778, 305465, 116506, 
905661, 6244804, 626238, 0, 6291811, 0, 384349, 3466289, 82685, 
1222432, 0, 30837298, 28959580, 642784, 163171, 191105, 2427024, 
188396, 478174, 123704, 2173713, 4053910, 531028, 7694299, 16843732, 
6467851, 1364177, 25251, 255553, 0, 2205666, 780108, 4751762, 
287803, 735025, 543414, 14782, 0, 680610, 221835, 418050, 2911193, 
64895, 333266, 3028990, 7679700, 174700, 496528, 56500, 2581569, 
81459, 126293, 2890433, 10291470, 11162953, 172943, 0, 218140, 
113766, 406393, 119416, 2900666, 1381759, 188272), Total.Arterial..Minor. = c(157908, 
2020372, 1770155, 636492, 70134, 0, 932828, 1022, 9502519, 458749, 
17689, 190791, 0, 138749, 4532335, 378976, 661540, 517301, 29421302, 
32684, 0, 1901119, 5827148, 17757, 0, 281950, 1258191, 0, 0, 
30039, 0, 656022, 60879, 764644, 0, 3188, 651620, 9340, 4164, 
526975, 0, 18974, 190500, 82205, 354159, 94178, 234930, 913998, 
2772408, 0, 873458, 0, 1150458, 13621, 40913, 145707, 0, 0, 374237, 
171769, 122735, 679810, 5253934, 5504799, 4520, 58291, 10769, 
35338, 317108, 106138, 0, 267714, 225899, 870058, 425506, 47331, 
16563, 19522722, 0, 1606, 1387615, 0, 1110317, 0, 20529277, 23492185, 
947655, 31760, 8263, 1965052, 43218, 389765, 103565, 2880815, 
1484034, 0, 5112579, 10216887, 6047024, 1094547, 81937, 545648, 
138121, 2475470, 1342276, 1685899, 55253, 0, 0, 52849, 15493, 
102073, 291979, 554982, 1885355, 10577, 264599, 2191720, 5898970, 
168168, 0, 250859, 1649429, 7704, 164828, 1876335, 47124, 6033706, 
113033, 0, 114701, 139601, 146651, 234444, 1626191, 1348222, 
144966), duplicate.flag = c(TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE)), class = c("tbl_df", 
"tbl", "data.frame"), row.names = c(NA, -137L))

标签： rdplyrtidyverse

Answer 1

解决方案：

从rlang::last_trace()你可以看到错误在包中的第 27 行vctrs

   These dots only exist to allow future extensions and should be empty.
Did you misspecify an argument?
Backtrace:
     █
  1. └─joineddf %>% select(Apportioned)
  2.   ├─base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
  3.   └─base::eval(quote(`_fseq`(`_lhs`)), env, env)
  4.     └─base::eval(quote(`_fseq`(`_lhs`)), env, env)
  5.       └─`_fseq`(`_lhs`)
  6.         └─magrittr::freduce(value, `_function_list`)
  7.           ├─base::withVisible(function_list[[k]](value))
  8.           └─function_list[[k]](value)
  9.             ├─dplyr::select(., Apportioned)
 10.             └─dplyr:::select.data.frame(., Apportioned)
 11.               └─tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
 12.                 └─tidyselect:::eval_select_impl(...)
 13.                   ├─tidyselect:::with_subscript_errors(...)
 14.                   │ ├─base::tryCatch(...)
 15.                   │ │ └─base:::tryCatchList(expr, classes, parentenv, handlers)
 16.                   │ │   └─base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
 17.                   │ │     └─base:::doTryCatch(return(expr), name, parentenv, handler)
 18.                   │ └─tidyselect:::instrument_base_errors(expr)
 19.                   │   └─base::withCallingHandlers(...)
 20.                   └─tidyselect:::vars_select_eval(...)
 21.                     └─tidyselect:::walk_data_tree(expr, data_mask, context_mask)
 22.                       └─tidyselect:::eval_c(expr, data_mask, context_mask)
 23.                         └─tidyselect:::reduce_sels(node, data_mask, context_mask, init = init)
 24.                           └─tidyselect:::walk_data_tree(init, data_mask, context_mask)
 25.                             └─tidyselect:::as_indices_sel_impl(...)
 26.                               └─tidyselect:::as_indices_impl(x, vars, strict = strict)
 27.                                 └─vctrs::vec_as_subscript(x, logical = "error")
 28.                                   └─ellipsis::check_dots_empty()
 29.                                     └─ellipsis:::action_dots(...)

Tidyverse 正在安装vctrs0.2.99.99011 版本——我在网络上的任何地方都找不到这个版本。这是什么原因造成的？

解决方法就是vctrs在tidyverse之前手动安装

install.packages("vctrs") library(vctrs)