[英]R plotting “Error in xy.coords(x, y)” using PerformanceAnalytics package
I'm getting error Error in xy.coords(x, y) : 'x' and 'y' lengths differ
when plotting xts object RETURNS. 我收到错误Error in xy.coords(x, y) : 'x' and 'y' lengths differ
绘制xts对象RETURNS时, Error in xy.coords(x, y) : 'x' and 'y' lengths differ
。 The plotting function used is charts.PerformanceSummary
, from the package PerformanceAnalytics . 所使用的绘图功能是来自PerformancePerformance软件包的charts.PerformanceSummary
。
Would anyone know how to fix this? 有人知道如何解决这个问题吗? It plots regardless of the error, but the presence of an error makes conversion to HTML with knitr package fail. 它会绘制图形,而不考虑错误,但是错误的出现会使使用knitr软件包的HTML转换失败。 Interestingly running the same plotting function on a similar xts object works fine. 有趣的是,在相似的xts对象上运行相同的绘图功能可以正常工作。 I'm baffled. 我很困惑。
library(PerformanceAnalytics)
# THIS PROVIDES THE ERROR:
RETURNS <- structure(c(NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0176761850129417, -0.00459544547441126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), class = c("xts", "zoo"), index = structure(c(1388448000, 1403474400, 1403475300, 1403476200, 1403477100, 1403478000, 1403478900, 1403479800, 1403480700, 1403481600, 1403482500, 1403483400, 1403484300, 1403485200, 1403486100, 1403487000, 1403487900, 1403488800, 1403489700, 1403490600, 1403491500, 1403492400, 1403493300, 1403494200, 1403495100, 1403496000, 1403496900, 1403497800, 1403498700, 1403499600, 1403500500, 1403501400, 1403502300, 1403503200, 1403504100, 1403505000, 1403505900, 1403506800, 1403507700, 1403508600, 1403509500, 1403510400, 1403511300, 1403512200, 1403513100, 1403514000, 1403514900, 1403515800, 1403516700, 1403517600, 1403518500, 1403519400, 1403520300, 1403521200, 1403522100, 1403523000, 1403523900, 1403524800, 1403525700, 1403526600, 1403527500,
1403528400, 1403529300, 1403530200, 1403531100, 1403532000, 1403532900, 1403533800, 1403534700, 1403535600, 1403536500, 1403537400, 1403538300, 1403539200, 1403540100, 1403541000, 1403541900, 1403542800, 1403543700, 1403544600, 1403545500, 1403546400, 1403547300, 1403548200, 1403549100, 1403550000, 1403550900, 1403551800, 1403552700, 1403553600, 1403554500, 1403555400, 1403556300, 1403557200, 1403560800, 1403561700, 1403562600, 1403563500, 1403564400, 1403565300, 1403566200, 1403567100, 1403568000, 1403568900, 1403569800, 1403570700, 1403571600, 1403572500, 1403573400, 1403574300, 1403575200, 1403576100, 1403577000, 1403577900, 1403578800, 1403579700, 1403580600, 1403581500, 1403582400, 1403583300, 1403584200, 1403585100, 1403586000, 1403586900, 1403587800, 1403588700, 1403589600, 1403590500, 1403591400, 1403592300, 1403593200, 1403594100, 1403595000, 1403595900, 1403596800, 1403597700, 1403598600, 1403599500, 1403600400, 1403601300, 1403602200, 1403603100, 1403604000, 1403604900, 1403605800, 1403606700, 1403607600, 1403608500, 1403609400, 1403610300, 1403611200, 1403612100, 1403613000, 1403613900, 1403614800, 1403615700, 1403616600, 1403617500, 1403618400, 1403619300, 1403620200, 1403621100, 1403622000, 1403622900, 1403623800, 1403624700, 1403625600, 1403626500, 1403627400, 1403628300, 1403629200, 1403630100, 1403631000, 1403631900, 1403632800, 1403633700, 1403634600, 1403635500, 1403636400, 1403637300, 1403638200, 1403639100, 1403640000, 1403640900, 1403641800, 1403642700, 1403643600, 1403647200, 1403648100, 1403649000, 1403649900, 1403650800, 1403651700, 1403652600, 1403653500, 1403654400, 1403655300, 1403656200, 1403657100, 1403658000, 1403658900, 1403659800, 1403660700, 1403661600, 1403662500, 1403663400, 1403664300, 1403665200, 1403666100, 1403667000, 1403667900, 1403668800, 1403669700, 1403670600, 1403671500, 1403672400, 1403673300, 1403674200, 1403675100, 1403676000, 1403676900, 1403677800, 1403678700, 1403679600, 1403680500, 1403681400, 1403682300, 1403683200, 1403684100, 1403685000, 1403685900, 1403686800, 1403687700, 1403688600, 1403689500, 1403690400, 1403691300, 1403692200, 1403693100, 1403694000, 1403694900, 1403695800, 1403696700, 1403697600, 1403698500, 1403699400, 1403700300, 1403701200, 1403702100, 1403703000, 1403703900, 1403704800, 1403705700, 1403706600, 1403707500, 1403708400, 1403709300, 1403710200, 1403711100, 1403712000, 1403712900, 1403713800, 1403714700, 1403715600, 1403716500, 1403717400, 1403718300, 1403719200, 1403720100, 1403721000, 1403721900, 1403722800, 1403723700, 1403724600, 1403725500, 1403726400, 1403727300, 1403728200, 1403729100, 1403730000, 1403733600, 1403734500, 1403735400, 1403736300, 1403737200, 1403738100, 1403739000, 1403739900, 1403740800, 1403741700, 1403742600, 1403743500, 1403744400, 1403745300, 1403746200, 1403747100, 1403748000, 1403748900, 1403749800, 1403750700, 1403751600, 1403752500, 1403753400, 1403754300, 1403755200, 1403756100, 1403757000, 1403757900, 1403758800, 1403759700, 1403760600, 1403761500, 1403762400, 1403763300, 1403764200, 1403765100, 1403766000, 1403766900, 1403767800, 1403768700, 1403769600, 1403770500, 1403771400, 1403772300, 1403773200, 1403774100, 1403775000, 1403775900, 1403776800, 1403777700, 1403778600, 1403779500, 1403780400, 1403781300, 1403782200, 1403783100, 1403784000,
1403784900, 1403785800, 1403786700, 1403787600, 1403788500, 1403789400, 1403790300, 1403791200, 1403792100, 1403793000, 1403793900, 1403794800, 1403795700, 1403796600, 1403797500, 1403798400, 1403799300, 1403800200, 1403801100, 1403802000, 1403802900, 1403803800, 1403804700, 1403805600, 1403806500, 1403807400, 1403808300, 1403809200, 1403810100, 1403811000, 1403811900, 1403812800, 1403813700, 1403814600, 1403815500, 1403816400, 1403820000, 1403820900, 1403821800, 1403822700, 1403823600, 1403824500, 1403825400, 1403826300, 1403827200, 1403828100, 1403829000, 1403829900, 1403830800, 1403831700, 1403832600, 1403833500, 1403834400, 1403835300, 1403836200, 1403837100, 1403838000, 1403838900, 1403839800, 1403840700, 1403841600, 1403842500, 1403843400, 1403844300, 1403845200, 1403846100, 1403847000, 1403847900, 1403848800, 1403849700, 1403850600, 1403851500, 1403852400, 1403853300, 1403854200, 1403855100, 1403856000, 1403856900, 1403857800, 1403858700, 1403859600, 1403860500, 1403861400, 1403862300, 1403863200, 1403864100, 1403865000, 1403865900, 1403866800, 1403867700,
1403868600, 1403869500, 1403870400, 1403871300, 1403872200, 1403873100, 1403874000, 1403874900, 1403875800, 1403876700, 1403877600, 1403878500, 1403879400, 1403880300, 1403881200, 1403882100, 1403883000, 1403883900, 1403884800, 1403885700, 1403886600, 1403887500, 1403888400, 1403889300, 1403890200, 1403891100, 1403892000, 1403892900, 1403893800, 1403894700, 1403895600, 1403896500, 1403897400, 1403898300, 1403899200, 1403900100, 1403901000, 1403901900, 1403902800, 1404079200, 1404080100, 1404081000, 1404081900, 1404082800, 1404083700, 1404084600, 1404085500, 1404086400, 1404087300, 1404088200, 1404089100, 1404090000, 1404090900, 1404091800, 1404092700, 1404093600, 1404094500, 1404095400, 1404096300, 1404097200, 1404098100, 1404099000, 1404099900, 1404100800, 1404101700, 1404102600, 1404103500, 1404104400, 1404105300, 1404106200, 1404107100, 1404108000, 1404108900, 1404109800, 1404110700, 1404111600, 1404112500, 1404113400, 1404114300, 1404115200, 1404116100, 1404117000, 1404117900, 1404118800, 1404119700, 1404120600, 1404121500, 1404122400, 1404123300, 1404124200, 1404125100, 1404126000, 1404126900, 1404127800, 1404128700, 1404129600, 1404130500, 1404131400, 1404132300, 1404133200, 1404134100, 1404135000, 1404135900, 1404136800, 1404137700, 1404138600, 1404139500, 1404140400, 1404141300, 1404142200, 1404143100, 1404144000, 1404144900, 1404145800, 1404146700, 1404147600, 1404148500, 1404149400, 1404150300, 1404151200, 1404152100, 1404153000, 1404153900, 1404154800, 1404155700, 1404156600, 1404157500, 1404158400, 1404159300, 1404160200, 1404161100, 1404162000, 1404165600, 1404166500, 1404167400, 1404168300, 1404169200, 1404170100, 1404171000, 1404171900, 1404172800, 1404173700, 1404174600, 1404175500, 1404176400, 1404177300, 1404178200, 1404179100, 1404180000, 1404180900, 1404181800, 1404182700, 1404183600, 1404184500, 1404185400, 1404186300, 1404187200, 1404188100, 1404189000, 1404189900, 1404190800, 1404191700, 1404192600, 1404193500, 1404194400, 1404195300, 1404196200, 1404197100, 1404198000, 1404198900, 1404199800, 1404200700, 1404201600, 1404202500, 1404203400, 1404204300, 1404205200, 1404206100, 1404207000, 1404207900, 1404208800, 1404209700, 1404210600, 1404211500, 1404212400, 1404213300, 1404214200, 1404215100, 1404216000, 1404216900, 1404217800, 1404218700, 1404219600, 1404220500, 1404221400, 1404222300, 1404223200, 1404224100, 1404225000, 1404225900, 1404226800, 1404227700, 1404228600, 1404229500, 1404230400, 1404231300, 1404232200, 1404233100, 1404234000, 1404234900, 1404235800, 1404236700, 1404237600, 1404238500, 1404239400, 1404240300, 1404241200, 1404242100, 1404243000, 1404243900, 1404244800, 1404245700, 1404246600, 1404247500, 1404248400, 1404252000, 1404252900, 1404253800, 1404254700, 1404255600, 1404256500, 1404257400, 1404258300, 1404259200, 1404260100, 1404261000, 1404261900, 1404262800, 1404263700, 1404264600, 1404265500, 1404266400, 1404267300, 1404268200, 1404269100, 1404270000, 1404270900, 1404271800, 1404272700, 1404273600, 1404274500, 1404275400, 1404276300, 1404277200, 1404278100, 1404279000, 1404279900, 1404280800, 1404281700, 1404282600, 1404283500, 1404284400, 1404285300, 1404286200, 1404287100, 1404288000, 1404288900, 1404289800, 1404290700, 1404291600, 1404292500, 1404293400, 1404294300, 1404295200, 1404296100, 1404297000, 1404297900, 1404298800, 1404299700, 1404300600, 1404301500, 1404302400, 1404303300, 1404304200, 1404305100, 1404306000, 1404306900, 1404307800, 1404308700, 1404309600, 1404310500, 1404311400, 1404312300, 1404313200, 1404314100, 1404315000, 1404315900, 1404316800, 1404317700, 1404318600, 1404319500, 1404320400, 1404321300, 1404322200, 1404323100, 1404324000,
1404324900, 1404325800, 1404326700, 1404327600, 1404328500, 1404329400, 1404330300, 1404331200, 1404332100, 1404333000, 1404333900, 1404334800, 1404338400, 1404339300, 1404340200, 1404341100, 1404342000, 1404342900, 1404343800, 1404344700, 1404345600, 1404346500, 1404347400, 1404348300, 1404349200, 1404350100, 1404351000, 1404351900, 1404352800, 1404353700, 1404354600, 1404355500, 1404356400, 1404357300, 1404358200, 1404359100, 1404360000, 1404360900, 1404361800, 1404362700, 1404363600, 1404364500, 1404365400, 1404366300, 1404367200, 1404368100, 1404369000, 1404369900, 1404370800, 1404371700, 1404372600, 1404373500, 1404374400, 1404375300, 1404376200, 1404377100, 1404378000, 1404378900, 1404379800, 1404380700, 1404381600, 1404382500, 1404383400, 1404384300, 1404385200, 1404386100, 1404387000, 1404387900, 1404388800, 1404389700, 1404390600, 1404391500, 1404392400, 1404393300, 1404394200, 1404395100, 1404396000, 1404396900, 1404397800, 1404398700, 1404399600, 1404400500, 1404401400, 1404402300, 1404403200, 1404404100, 1404405000, 1404405900, 1404406800, 1404407700, 1404408600, 1404409500, 1404410400, 1404411300, 1404412200, 1404413100, 1404414000, 1404414900, 1404415800, 1404416700, 1404417600, 1404418500, 1404419400, 1404420300, 1404421200, 1404424800, 1404425700, 1404426600, 1404427500, 1404428400, 1404429300, 1404430200, 1404431100, 1404432000, 1404432900, 1404433800, 1404434700, 1404435600, 1404436500, 1404437400, 1404438300, 1404439200, 1404440100, 1404441000, 1404441900, 1404442800, 1404443700, 1404444600, 1404445500, 1404446400, 1404447300, 1404448200, 1404449100, 1404450000, 1404450900, 1404451800, 1404452700, 1404453600, 1404454500, 1404455400, 1404456300, 1404457200, 1404458100, 1404459000, 1404459900, 1404460800, 1404461700, 1404462600, 1404463500, 1404464400, 1404465300, 1404466200, 1404467100, 1404468000, 1404468900, 1404469800, 1404470700, 1404471600, 1404472500, 1404473400, 1404474300, 1404475200, 1404476100, 1404477000, 1404477900, 1404478800, 1404479700, 1404480600, 1404481500, 1404482400, 1404483300, 1404484200, 1404485100, 1404486000, 1404486900, 1404487800, 1404488700, 1404489600, 1404490500, 1404491400, 1404492300, 1404684000, 1404684900, 1404685800, 1404686700, 1404687600, 1404688500, 1404689400, 1404690300, 1404691200, 1404692100, 1404693000, 1404693900, 1404694800, 1404695700, 1404696600, 1404697500, 1404698400, 1404699300, 1404700200, 1404701100, 1404702000, 1404702900, 1404703800, 1404704700, 1404705600, 1404706500, 1404707400, 1404708300, 1404709200, 1404710100, 1404711000, 1404711900, 1404712800, 1404713700, 1404714600, 1404715500, 1404716400, 1404717300, 1404718200, 1404719100, 1404720000, 1404720900, 1404721800, 1404722700, 1404723600, 1404724500, 1404725400, 1404726300, 1404727200, 1404728100, 1404729000, 1404729900, 1404730800, 1404731700, 1404732600, 1404733500, 1404734400, 1404735300, 1404736200, 1404737100, 1404738000, 1404738900, 1404739800, 1404740700, 1404741600, 1404742500, 1404743400, 1404744300, 1404745200, 1404746100, 1404747000, 1404747900, 1404748800, 1404749700, 1404750600, 1404751500, 1404752400, 1404753300, 1404754200, 1404755100, 1404756000, 1404756900, 1404757800, 1404758700, 1404759600, 1404760500), tzone = "", tclass = c("POSIXct", "POSIXt")), .indexCLASS = c("POSIXct", "POSIXt"), .indexTZ = "", tclass = c("POSIXct", "POSIXt"), tzone = "", .Dim = c(1000L, 1L), .Dimnames = list(NULL, "End.Eq"))
charts.PerformanceSummary(RETURNS, na.rm=T)
# THIS PROVIDES NO ERROR:
RETSBYDAY <- structure(c(0, 0, 0.0131666666666667, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), index = structure(c(1403395200, 1403481600, 1403568000, 1403654400, 1403740800, 1403827200, 1.404e+09, 1404086400, 1404172800, 1404259200, 1404345600, 1404432000, 1404604800, 1404691200), tclass = "Date", tzone = "UTC"), .indexCLASS = "Date", .indexTZ = "", tclass = c("POSIXct", "POSIXt"), tzone = "", .Dim = c(14L, 1L), .Dimnames = list(NULL,"DTT3.DailyEndEq"), class = c("xts", "zoo"))
charts.PerformanceSummary(RETSBYDAY)
#RETURNS and RETSBYDAY are 1xN xts objects.
#RETURNS has an NA value and RETSBYDAY has none; including na.rm=T makes no difference.
I don't get an error using performanceanalytics version 1.4.3541. 使用Performanceanalytics版本1.4.3541时没有出现错误。 Perhaps update your version? 也许更新您的版本?
I do get warnings though, that "na.rm is not a graphical parameter" when calling charts.PerformanceSummary
with na.rm = TRUE
. 我得到警告,虽然,“na.rm不是图形参数”打电话时charts.PerformanceSummary
与na.rm = TRUE
。 This warning arises because na.rm = T
is passed into the function as an extra parameter (because the function has the special parameter ...
), which is then passed on to the charting functions inside charts.PerformanceSummary
, which include chart.CumReturns
, chart.BarVaR
, and chart.Drawdown
, all of which accept passthrough parameters via ... = ...
in their function calls inside charts.PerformanceSummary
. 之所以会出现此警告,是因为na.rm = T
作为附加参数传递到函数中(因为该函数具有特殊参数...
),然后将其传递给charts.PerformanceSummary
内部的图表函数,其中包括chart.CumReturns
, chart.BarVaR
和chart.Drawdown
,它们全部在charts.PerformanceSummary
内部的函数调用中通过... = ...
接受chart.Drawdown
参数。
You can't assume every function in R will use na.rm = TRUE
to remove NAs. 您不能假设R中的每个函数都将使用na.rm = TRUE
删除NA。 Just mostly base functions like mean
, sum
, etc... It would be safer to remove the NAs before passing data to a function, if you get errors arising from the NAs in the function call. 仅是大多数基本函数,例如mean
, sum
等。如果在函数调用中由于NA引起的错误,在将数据传递给函数之前删除NA会更安全。 In case you are not aware, this can usually be easily done in a one liner, such as RETURNS <- RETURNS[!is.na(RETURNS),]
如果您不知道,通常可以在一个衬里中轻松完成,例如RETURNS <- RETURNS[!is.na(RETURNS),]
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.