data.frame與class = data.frame和typeof = list，如何運行數學函數（egcov

Question

我有一個data.frame與上述屬性。它本質上是一個與Rbbg下載，然後重新塑造，所有Nas拋出現在我不能運行任何數學函數，因爲我總是得到錯誤信息「is.numeric（x）|| is.logical（x）is not TRUE」，數據框看起來像下面一樣，Cany有人幫助我嗎？

最佳 安德烈亞斯

date PX_LAST.HSCBCH1M Index PX_LAST.ECC0TR01 Index PX_LAST.USC0TR01 Index PX_LAST.JNC0TR01 Index 
193 2003-12-31    231.6578    211.7530    177.7768     1.1837 
194 2004-01-30    239.9991    213.2282    180.3342     1.2185 
195 2004-02-27    246.5998    214.6787    181.1475     1.1850 
196 2004-03-31    244.0620    212.5486    181.9035     1.2462 
197 2004-04-30    241.0590    212.3115    186.3787     1.2037 
198 2004-05-31    240.2047    209.2621    180.3576     1.1740 
    PX_LAST.UKC0TR01 Index PX_LAST.DBSTIB1D Index PX_LAST.TRMMINOK Index PX_LAST.TRMMICAD Index 
193    345.7537    39.2328     18.664    100.362 
194    359.2822    38.7778     18.026    100.362 
195    370.2372    39.0448     18.109    100.362 
196    367.7206    38.5325     18.630    100.362 
197    364.3693    39.0558     19.064    100.362 
198    364.7683    38.6902     18.837    100.362 
    PX_LAST.AUC0TR01 Index PX_LAST.TRMMINZD Index PX_LAST.GMUAG Index PX_LAST.SZGATR Index PX_LAST.EUGATR Index 
193    144.6399    100.362    182.480    169.092    197.084 
194    149.3122    100.362    183.917    169.734    199.239 
195    152.5866    100.362    183.802    171.909    202.995 
196    151.7402    100.362    186.607    172.833    202.480 
197    147.5394    100.362    178.227    171.302    199.941 
198    142.0370    100.362    179.959    170.018    195.683 
    PX_LAST.USGATR Index PX_LAST.JNGATR Index PX_LAST.UKGATR Index PX_LAST.SWGATR Index PX_LAST.NOGATR Index 
193    285.774    2.060    661.739    47.765    46.831 
194    291.916    2.129    684.020    47.434    45.605 
195    296.681    2.078    709.931    48.312    47.169 
196    300.331    2.170    706.912    48.317    48.038 
197    297.548    2.089    689.679    48.171    47.906 
198    286.870    2.041    683.345    47.697    47.647 
    PX_LAST.CAGATR Index PX_LAST.AUGATR Index PX_LAST.NZGATR Index PX_LAST.GEMXEMB1 Index PX_LAST.JPEIGLBL Index 
193    250.626    245.142    202.999    71.6518     351.33 
194    251.085    250.856    210.897    72.6657     357.88 
195    253.318    259.029    219.072    73.8771     360.44 
196    261.089    258.816    215.060    75.6680     370.61 
197    251.849    247.467    204.340    75.2113     358.78 
198    243.711    239.527    199.694    72.7642     341.06 
    PX_LAST.IBOXHY Index PX_LAST.BCIW1T Index PX_LAST.SRCATTRR Index PX_LAST.JAUTGLOB Index PX_LAST.MXWO Index 
193    142.8033    220.9415     144.70    170.283   1287.3145 
194    146.7751    225.8519     148.26    175.000   1324.7261 
195    146.8187    232.1897     149.48    177.450   1350.2362 
196    147.8032    235.6665     150.45    178.718   1342.4812 
197    152.3135    230.2153     154.02    177.174   1343.7654 
198    144.2304    227.9847     149.80    171.575   1307.8700 
    PX_LAST.MXUS Index PX_LAST.MXEM Index PX_LAST.MXCH Index PX_LAST.MXGB Index PX_LAST.MXASJ Index 
193   1298.6043   126.08896    709.77   2988.104   317.1585 
194   1338.4509   130.79429    742.24   3033.495   340.0415 
195   1357.3877   133.93243    750.31   3186.655   352.3901 
196   1338.3062   128.38027    729.76   3084.042   346.6105 
197   1347.4045   128.87453    751.14   3127.969   334.5085 
198   1317.8738   125.14768    732.10   3074.340   311.1790 
    PX_LAST.MXJP Index PX_LAST.MXEF Index PX_LAST.DBCHREF Index PX_LAST.EPEU Index PX_LAST.RUUS Index 
193   7.37794   550.0189    1841.532   1951.546   2491.1328 
194   7.63641   575.5580    1881.488   2015.318   2632.6620 
195   7.64160   603.6149    1868.657   2137.273   2697.5093 
196   8.64227   611.0140    1862.560   2177.836   2861.4954 
197   8.37291   572.5848    1820.847   2074.689   2519.3947 
198   7.88756   540.9759    1832.934   2045.068   2608.8886 
    PX_LAST.TPREAL Index PX_LAST.UGAS Index PX_LAST.CMCITR Index PX_LAST.CMPMTR Index PX_LAST.CMIMTR Index 
193    7.43896   1233.9518    492.9786    595.9690    324.0602 
194    8.42209   1363.7160    509.2115    585.0504    338.8510 
195    8.90350   1405.9723    545.4939    585.5482    368.3770 
196    10.95698   1484.5974    561.9698    642.2480    368.4301 
197    10.17282   1381.7467    558.2269    567.0087    339.5410 
198    9.69091   1351.0139    577.0306    576.0891    358.0701 
    PX_LAST.CMAGTR Index PX_LAST.CMENTR Index PX_LAST.HEDGNAV Index 
193    747.9302    523.2377    356.37 
194    791.7329    525.1798    356.37 
195    831.2244    572.8937    356.37 
196    866.4411    591.3010    376.07 
197    865.9421    624.9057    382.72 
198    833.8122    673.9791    369.16 

Answer 1

我可以用這個重現錯誤：

cov(data.frame(a=1,b="a")) 
#Error: is.numeric(x) || is.logical(x) is not TRUE 

所以我假設你的date列（或其他列）是一個字符或因子變量。排除它，當你通過數據取其功能，您使用的是：

cov(df[,-1]) 

此外，你應該使用

df$date <- as.Date(as.character(df$date))