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R 卡在一个“上”；“回收剩余物”；警告

r

R 卡在一个“上”；“回收剩余物”；警告,r,R,我遇到了一个问题，我一直遇到以下代码： #require(gdata) require(jfreels) require(mondate) require(lubridate) require(gdata) # source this file asof=as.Date('2017-05-31') gm_quarter_value<-quarter(asof) gm_year_value<-year(asof) # load in and format data -----

我遇到了一个问题，我一直遇到以下代码：

#require(gdata)
require(jfreels)
require(mondate)
require(lubridate)
require(gdata)


# source this file
asof=as.Date('2017-05-31')
gm_quarter_value<-quarter(asof)
gm_year_value<-year(asof)

# load in and format data  ----- the block of code where error occurs. 
history_original<-
      read.xls("//mhistory.xlsx",sheet='Allocation',na.strings="N/A")
mh<-data.table(history_original)
mh$date<-as.Date(mh$date)
setkey(mh,'date','mani')
mh[mani!='Cash',vami:=vami(return),by=fixed.name]
#load(file='data/history/mh.rda')
以下是来自dput的一些数据（head（mh，50））

结构（列表日期=结构， 12752, 12752, 12752, 12752, 12752, 12783, 12783, 12783, 12783, 12783, 12783, 12783, 12783, 12783, 12783, 12783, 12814, 12814, 12814, 12814, 12814, 12814, 12814, 12814, 12814, 12814, 12814, 12814, 12842, 12842, 12842, 12842, 12842, 12842, 12842, 12842, 12842, 12842, 12842, 12842, 12873, 12873, 12873, 12873, 12873, 12873），class=“Date”），fixed.name=结构（c（17L，18L，46L， 47L、70L、4L、60L、59L、69L、17L、18L、8L、46L、47L、70L、4L、， 24L，60L，59L，69L，17L，17L，8L，46L，47L，70L，4L，24L，60L， 59L，69L，73L，17L，17L，8L，46L，47L，70L，4L，24L，60L，59L， 69L、73L、17L、17L、60L、8L、46L、47L），.Label=c（“1”， “2”、“3”、“4”、“5”、“6”、“7”等class=“factor”）， 经理=结构（c（24L、44L、62L、70L、71L、5L、43L、85L、， 99L、24L、44L、12L、62L、70L、71L、5L、32L、43L、85L、99L、， 24L、27L、12L、62L、70L、71L、7L、32L、43L、85L、101L、107L、， 24L、27L、12L、62L、70L、71L、7L、32L、43L、85L、101L、107L、， 24L、27L、43L、12L、62L、70L），.Label=c（此处有大量数据），class=“factor”），strategy=structure（c（1L， 1L，2L，2L，2L，4L，4L，4L，1L，1L，2L，2L，2L，2L，2L，2L，4L， 4L，4L，4L，4L，1L，1L，2L，2L，2L，4L，4L，4L，4L，4L，4L，4L， 4L，1L，1L，2L，2L，2L，4L，4L，4L，4L，4L，4L，4L，1L，1L， 1L、2L、2L、2L），.Label=c（“现金”、“自由裁量”、“定量”， “趋势跟随者”），class=“factor”），总分配=c（NA， 北美，0.142404915838961，0.047468305279635，0.047468305279635， 0.189873221118614, 0.113923932671168, 0.261393169848591, 0.18987322118614，北美，北美，0.0732346506007515，0.127227083260399， 0.0504539213350938, 0.0500494951829262, 0.150598347942872, 0.097646200801002, 0.102648545851004, 0.139406844436169, 0.146469301503，不适用，不适用，0.0712445227169108，0.123964691130067， 0.0476800374705463, 0.0485758686645857, 0.145697372074475, 0.0928750257506969, 0.0983016698067595, 0.13403145511268, 0.142043313516008，0.0946955423440056，北美，北美，0.0835168624939674， 0.106588512365316, 0.0643739492830623, 0.066140094839865, 0.120819106420193, 0.079432110728629, 0.0819557073526206, 0.11538840144924，0.166281136586948，0.127042633304666，北美， 不适用，不适用，0.105856694204315，0.106336463704097，0.0628120217517739 )，净分配=c（0,0,0.1434944748241449,0.0478315827471496， 0.0478315827471496, 0.191326330988599, 0.114795798593159, 0.263393625693896, 0.191326330988599, 0, 0, 0.0780974349815385, 0.135674967809812, 0.0538040641787497, 0.0533727841103034, 0.160598085609968, 0.104129913308718, 0.109464414314636, 0.148663465723197, 0.156194869963077, 0, 0, 0.0713080226118237, 0.124075180253433, 0.047722534454923, 0.0486191640989275, 0.145827231430156, 0.0929578048072517, 0.0983892856046405, 0.134150916693587, 0.142169916027154, 0.0947799440181028, 0, 0, 0.082564194313903, 0.10537266827038, 0.0636396423266499, 0.0653856416444407, 0.11944093541624, 0.0785260368878884, 0.0810208471071804, 0.114072177933095, 0.164384384924578, 0.125593471175645,0,0，NA，0.0983666777386705,0.0988125005761266， 0.0583676823484184），归属=c（-0.00044326694085618， 0, 0.010051776300819, 0.00317113437469883, 0.00238472696113082, 0.00802893915484529, 0.00972706935855351, 0.00968370136548388, 0, -0.000440070107589608, 0.000121585143389376, 0.000229810333585158, 0.000600276113576124，-0.00128820140991525，3.99695193738757e-05， -0.000361129826732395, -0.00187724283985821, -0.00128385273636259, -0.0011990465227359, 0, -0.00036254125256041, 0.000633512231325974, -0.000512960563561758, -0.00347960664253897, 0.00141283713223096, 0.00251341429314942, -0.00912636717243622, -0.00308688292194134, -0.00566091419913372, -0.00359918817341097, -0.0014308969925891, 0.0015626141460105，-0.00063284915869302，2.08436840409153e-05， 0.00133540685104398, -0.000313375712697167, -0.00159815288576456, -0.00473252239700671, -0.0113934901937967, 0.000777818917761139, -0.0012305250368858, 0.00126422585853451, 0.00915133063638428, 0.00468022553426879, -0.000688569622908879, 0.00112718749151131, NA，-0.000994649965118036，0.00325597011568602，0.00780374962611487 )现金变动=结构（c（2143L、1161L、1202L、1967L、， 1777L、2512L、1181L、1178L、1161L、22L、1771L、2164L、1294L、， 496L、2492L、1000L、686L、493L、460L、1161L、755L、1348L、， 47L、995L、1895L、2235L、338L、942L、92L、1018L、566L、1960L、， 802L、2200L、1936L、1010L、678L、61L、515L、1589L、550L、， 1899L、1693L、1236L、2100L、1819L、1L、438L、2460L、1592L )，.Label=c（“，”-0.1799999993015“，“-0.30999999945”， “-1”、“-1.61999999898”、“-1.74622982740402e-010”、“-100068.974874801”， "-100235.36", "-100276", "-100319", "-100330.48", "-100416.569999998", "-100940.009999999", "-1014043.74000001", "-101446.620000001", "-101573.619999999", "-101748.387580004", "-1018471.4", "-101919.760000002", "-102261.04", "-102748.5", "-102775.78", "-103320.27", "-104101.220000001", "-104371.649999999", "-104377.770000001", "-104541.310000001", "-104628.85", "-104824.74", "-10491.2799999993", "-104981.119999999", "-10503.46", "-1050639.386", "-105344.909999999", "-105556.61794", "-105789.020000001", "-105974.700000001", "-106033.25", "-1064338.6", "-106699.800000001", "-107116.92676", "-107245", "-107366.670000001", "-1075850.947517", "-108219.72", "-10825.3", "-10833.8904", "-1086.06", "-109098.68", "-109781", "-110030", "-110055.35", "-110720.6", "-110939.54", "-111091.300000001", "-111159.81", "-112.5", "-112523.399999999", "-112567.65", "-112924.3754", "-112983.76", 
Warning messages:
1: In `[.data.table`(cgmh, strategy != "Cash", `:=`(vami, vami(return)),  :
Supplied 145 items to be assigned to group 3 of size 146 in column 'vami' (recycled leaving remainder of 1 items).
2: In `[.data.table`(mh, mani != "Cash", `:=`(vami, vami(return)),  :
Supplied 71 items to be assigned to group 21 of size 72 in column 'vami' (recycled leaving remainder of 1 items).
3: In `[.data.table`(mh, mani != "Cash", `:=`(vami, vami(return)),  :
Supplied 44 items to be assigned to group 40 of size 45 in column 'vami' (recycled leaving remainder of 1 items).
4: In `[.data.table`(mh, mani!= "Cash", `:=`(vami, vami(return)),  :
Supplied 27 items to be assigned to group 41 of size 28 in column 'vami' (recycled leaving remainder of 1 items).

structure(list(date = structure(c(12752, 12752, 12752, 12752, 
12752, 12752, 12752, 12752, 12752, 12783, 12783, 12783, 12783, 
12783, 12783, 12783, 12783, 12783, 12783, 12783, 12814, 12814, 
12814, 12814, 12814, 12814, 12814, 12814, 12814, 12814, 12814, 
12814, 12842, 12842, 12842, 12842, 12842, 12842, 12842, 12842, 
12842, 12842, 12842, 12842, 12873, 12873, 12873, 12873, 12873, 
12873), class = "Date"), fixed.name = structure(c(17L, 18L, 46L, 
47L, 70L, 4L, 60L, 59L, 69L, 17L, 18L, 8L, 46L, 47L, 70L, 4L, 
24L, 60L, 59L, 69L, 17L, 17L, 8L, 46L, 47L, 70L, 4L, 24L, 60L, 
59L, 69L, 73L, 17L, 17L, 8L, 46L, 47L, 70L, 4L, 24L, 60L, 59L, 
69L, 73L, 17L, 17L, 60L, 8L, 46L, 47L), .Label = c("1", 
"2", "3", "4", "5", "6", "7", etc. class = "factor"), 
    manager = structure(c(24L, 44L, 62L, 70L, 71L, 5L, 43L, 85L, 
    99L, 24L, 44L, 12L, 62L, 70L, 71L, 5L, 32L, 43L, 85L, 99L, 
    24L, 27L, 12L, 62L, 70L, 71L, 7L, 32L, 43L, 85L, 101L, 107L, 
    24L, 27L, 12L, 62L, 70L, 71L, 7L, 32L, 43L, 85L, 101L, 107L, 
    24L, 27L, 43L, 12L, 62L, 70L), .Label = c(lots of data here ), class = "factor"), strategy = structure(c(1L, 
    1L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 1L, 1L, 2L, 2L, 2L, 2L, 4L, 
    4L, 4L, 4L, 4L, 1L, 1L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 
    4L, 1L, 1L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 
    1L, 2L, 2L, 2L), .Label = c("Cash", "Discretionary", "Quantitative", 
    "Trend Follower"), class = "factor"), gross_allocation = c(NA, 
    NA, 0.142404915838961, 0.0474683052796535, 0.0474683052796535, 
    0.189873221118614, 0.113923932671168, 0.261393169848591, 
    0.189873221118614, NA, NA, 0.0732346506007515, 0.127227083260399, 
    0.0504539213350938, 0.0500494951829262, 0.150598347942872, 
    0.097646200801002, 0.102648545851004, 0.139406844436169, 
    0.146469301201503, NA, NA, 0.0712445227169108, 0.123964691130067, 
    0.0476800374705463, 0.0485758686645857, 0.145697372074475, 
    0.0928750257506969, 0.0983016698067595, 0.13403145511268, 
    0.142043313516008, 0.0946955423440056, NA, NA, 0.0835168624939674, 
    0.106588512365316, 0.0643739492830623, 0.066140094839865, 
    0.120819106420193, 0.079432110728629, 0.0819557073526206, 
    0.11538840144924, 0.166281136586948, 0.127042633304666, NA, 
    NA, NA, 0.105856694204315, 0.106336463704097, 0.0628120217517739
    ), net_allocation = c(0, 0, 0.143494748241449, 0.0478315827471496, 
    0.0478315827471496, 0.191326330988599, 0.114795798593159, 
    0.263393625693896, 0.191326330988599, 0, 0, 0.0780974349815385, 
    0.135674967809812, 0.0538040641787497, 0.0533727841103034, 
    0.160598085609968, 0.104129913308718, 0.109464414314636, 
    0.148663465723197, 0.156194869963077, 0, 0, 0.0713080226118237, 
    0.124075180253433, 0.047722534454923, 0.0486191640989275, 
    0.145827231430156, 0.0929578048072517, 0.0983892856046405, 
    0.134150916693587, 0.142169916027154, 0.0947799440181028, 
    0, 0, 0.082564194313903, 0.10537266827038, 0.0636396423266499, 
    0.0653856416444407, 0.11944093541624, 0.0785260368878884, 
    0.0810208471071804, 0.114072177933095, 0.164384384924578, 
    0.125593471175645, 0, 0, NA, 0.0983666777386705, 0.0988125005761266, 
    0.0583676823484184), attribution = c(-0.000443266946085618, 
    0, 0.010051776300819, 0.00317113437469883, 0.00238472696113082, 
    0.00802893915484529, 0.00972706935855351, 0.00968370136548388, 
    0, -0.000440070107589608, 0.000121585143389376, 0.000229810333585158, 
    0.000600276113576124, -0.00128820140991525, 3.99695193738757e-05, 
    -0.000361129826732395, -0.00187724283985821, -0.00128385273636259, 
    -0.0011990465227359, 0, -0.00036254125256041, 0.000633512231325974, 
    -0.000512960563561758, -0.00347960664253897, 0.00141283713223096, 
    0.00251341429314942, -0.00912636717243622, -0.00308688292194134, 
    -0.00566091419913372, -0.00359918817341097, -0.0014308969925891, 
    0.00156261612460105, -0.000632849158692302, 2.08436840409153e-05, 
    0.00133540685104398, -0.000313375712697167, -0.00159815288576456, 
    -0.00473252239700671, -0.0113934901937967, 0.000777818917761139, 
    -0.0012305250368858, 0.00126422585853451, 0.00915133063638428, 
    0.00468022553426879, -0.000688569622908879, 0.00112718749151131, 
    NA, -0.000994649965118036, 0.00325597011568602, 0.00780374962611487
    ), cash_change = structure(c(2143L, 1161L, 1202L, 1967L, 
    1777L, 2512L, 1181L, 1178L, 1161L, 22L, 1771L, 2164L, 1294L, 
    496L, 2492L, 1000L, 686L, 493L, 460L, 1161L, 755L, 1348L, 
    47L, 995L, 1895L, 2235L, 338L, 942L, 92L, 1018L, 566L, 1960L, 
    802L, 2200L, 1936L, 1010L, 678L, 61L, 515L, 1589L, 550L, 
    1899L, 1693L, 1236L, 2100L, 1819L, 1L, 438L, 2460L, 1592L
    ), .Label = c("", "-0.179999999993015", "-0.309999999999945", 
    "-1", "-1.61999999999898", "-1.74622982740402e-010", "-100068.974874801", 
    "-100235.36", "-100276", "-100319", "-100330.48", "-100416.569999998", 
    "-100940.009999999", "-1014043.74000001", "-101446.620000001", 
    "-101573.619999999", "-101748.387580004", "-1018471.4", "-101919.760000002", 
    "-102261.04", "-102748.5", "-102775.78", "-103320.27", "-104101.220000001", 
    "-104371.649999999", "-104377.770000001", "-104541.310000001", 
    "-104628.85", "-104824.74", "-10491.2799999993", "-104981.119999999", 
    "-10503.46", "-1050639.386", "-105344.909999999", "-105556.61794", 
    "-105789.020000001", "-105974.700000001", "-106033.25", "-1064338.6", 
    "-106699.800000001", "-107116.92676", "-107245", "-107366.670000001", 
    "-1075850.947517", "-108219.72", "-10825.3", "-10833.8904", 
    "-1086.06", "-109098.68", "-109781", "-110030", "-110055.35", 
    "-110720.6", "-110939.54", "-111091.300000001", "-111159.81", 
    "-112.5", "-112523.399999999", "-112567.65", "-112924.3754", 
    "-112983.76", "-113459", "-11359.29", "-1137.7200000002", 
    "-113724.59", "-114064.922", "-114153.33", "-114339", "-1148311.78", 
    "-11499.2599999998", "-115498", "-115633.560000002", "-115669", 
    "-116181.349999999", "-116263.77", "-116345.49", "-116450.220000001", 
    "-1165174.434", "-116681.39", "-1169.39000000013", "-117.260000000359", 
    "-117.820000000007", "-117650.72", "-117976", "-118088.83", 
    "-118127", "-118366.880000001", "-118910.431612", "-11904.6899999995", 
    "-119076.620000001", "-119227.389999999", "-119560.31", "-119656", 
    "-119847.8272", "-12015", "-120228.99", "-121215.200000001", 
    "-12130.3399999999", "-121305.060000001", "-121359.48", "-121372", 
    "-12180.6916476834", "-121957.979999999", "-122016.87", "-122204", 
    "-122583.029999999", "-122763.76", "-12296.059", "-1231586.02", 
    "-12317.6600000001", "-123233.93", "-123985.18", "-12435.3400000001", 
    "-1243584.30698176", "-124386.42", "-124440.090000002", "-124663.23", 
    "-124749.83", "-124793.56", "-125286.95", "-125752.57", "-125991.149999999", 
    "-126087.13", "-126237.84", "-12664.3299999998", "-12678.8099999996", 
    "-127087.609999999", "-127365.219999999", "-127413.159999999", 
    "-127539", "-127599.52", "-127817", "-127918.43", "-128162.890000001", 
    "-128527.47", "-128537.842920001", "-12891.7100000009", "-1289347.356", 
    "-130006.02", "-1303381.25", "-13075.7300000004", "-132065.08", 
    "-132862", "-1332167", "-133229.1", "-133275.790000001", 
    "-133338.311793", "-133503.7", "-1335110.79028567", "-1337.90000000037", 
    "-13387.7999999998", "-133920.21", "-134013.22", "-13407", 
    "-134145.310000001", "-134485", "-134609", "-134663.096483", 
    "-134869.25", "-134924.48", "-13493", "-135069.81", "-13507.7385", 
    "-135282.92", "-135678", "-135838.550345", "-135966.47", 
    "-135980.300000001", "-136106.209999999", "-136170.24", "-136216.82", 
    "-13623.1699999999", "-136498.119999999", "-136566.42", "-13666.98", 
    "-13692.48", "-136986.177008999", "-137760.81", "-137788.919999999", 
    "-13814.404000001", "-138491.18", "-138764.109999999", "-139008.85", 
    "-139111.35", "-139225.75", "-14007.25", "-140087.68", "-140461", 
    "-140480.869999999", "-140559.73", "-140789.98", "-141094", 
    "-141172.939999999", "-141442.25", "-14176.7831290001", "-142115.64", 
    "-1422133.03", "-142394.86", "-14317.4900000002", "-143382.365999999", 
    "-143496.060000001", "-143889.82", "-144339.269999998", "-145025.73", 
    "-145032.54", "-145230.810000001", "-14555.0599999996", "-1463.14999999991", 
    "-1467083.61", "-147.699999999721", "-147371", "-1478130.07", 
    "-148036.200000003", "-1484752.36627733", "-148638", "-14909.0599999996", 
    "-1495.34999999963", "-149909.27", "-150808.970000001", "-151104", 
    "-151515", "-151554.5", "-151600.35", "-151761.93", "-152666.139999999", 
    "-1527.53999999957", "-153321.930489", "-153351.430000002", 
    "-153826.57", "-154261.23", "-154344.79", "-154366.819999998", 
    "-155071.159999999", "-1552270", "-155300.539999999", "-155664.83", 
    "-156528.430000002", "-157231.1", "-157309.49", "-157588.36", 
    "-157756.130000001", "-15811.5100000007", "-158116", "-158301.819999998", 
    "-15851.169999999", "-158916.79", "-15900.6599999992", "-159261.640000001", 
    "-159841.81", "-16028.8700000005", "-16041.0600000005", "-160788.28", 
    "-160931.31", "-161112.47", "-161391.54", "-161571.82", "-162772", 
    "-163080.23", "-1631776.18961502", "-16370.216", "-163878.1142", 
    "-16407.5000000009", "-164132.29", "-164310.990000002", "-16477.2000000002", 
    "-164922", "-1654145.89", "-16681.0199999996", "-166813.67", 
    "-167432", "-16806.3499999996", "-168587.42", "-168676.27", 
    "-168736.3815498", "-169282.720000001", "-169582.54", "-169808.25", 
    "-169880.369999999", "-17057.9499999993", "-171058.639999999", 
    "-17214.3399999999", "-172574", "-1727156.3", "-17324.3899999999", 
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