[R] Error in if (n > 0)
Rich Shepard
rshepard at appl-ecosys.com
Thu Aug 23 00:26:47 CEST 2012
I've searched the Web with Google and do not find what might cause this
particular error from an invocation of cenboxplot:
cenboxplot(cu.t$quant, cu.t$ceneq1, cu.t$era, range=1.5, main='Total
Recoverable Copper', ylab='Concentration (mg/L)', xlab='Time Period')
Error in if (n > 0) (1L:n - a)/(n + 1 - 2 * a) else numeric() :
argument is of length zero
I do not an observation with a concentration of zero; the only zeros are
the lower limits for censored observations.
The dput() output of the data frame 'cu.t' is attached.
Rich
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1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 1L), .Label = c("Mining", "Pre-mining"), class = "factor"),
param = structure(c(25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L), .Label = c("AgDis", "AgTot",
"AlDis", "AlTot", "Alk", "AsDis", "AsTot", "BaDis", "BaTot",
"BeDis", "BeTot", "BiDis", "BiTot", "CaDis", "CaTot", "CdDis",
"CdTot", "ClDis", "ClTot", "CoDis", "CoTot", "CrDis", "CrTot",
"CuDis", "CuTot", "DO", "FeDis", "FeTot", "HgDis", "HgTot",
"MgDis", "MgTot", "MnDis", "MnTot", "MoDis", "MoTot", "N",
"NH4", "NaDis", "NaTot", "NiDis", "NiTot", "PDis", "PTot",
"PbDis", "PbTot", "SC", "SO4", "SbDis", "SbTot", "SeDis",
"SeTot", "SrDis", "SrTot", "TDS", "TSS", "TlDis", "TlTot",
"Vdis", "Vtot", "ZnDis", "ZnTot", "oilgrease", "pH"), class = "factor"),
quant = c(0.0239, 0.0137, 0.0196, 0.00199, 0.00087, 0.00118,
0.00176, 0.00157, 0.00184, 0.00122, 0.0015, 0.00075, 0.00075,
0.00075, 0.00165, 0.00075, 0.00286, 0.00294, 0.00415, 0.00394,
0.00334, 0.00389, 0.00226, 0.00211, 0.00311, 0.00235, 0.00121,
0.00648, 0.00399, 0.0077, 0.00289, 0.00075, 0.00408, 0.00075,
0.00344, 0.00422, 0.00281, 0.0138, 0.0345, 0.00075, 0.00146,
0.00075, 0.00223, 0.00116, 0.00176, 0.00166, 0.00152, 0.00114,
0.00127, 0.00106, 9e-04, 0.00284, 0.00224, 0.00241, 0.00088,
0.00107, 0.00106, 0.00106, 0.00353, 0.00108, 0.009, 0.00236,
0.00144, 0.0146, 0.00129, 0.00387, 0.00246, 0.00931, 0.00075,
0.00157, 0.00075, 0.00138, 0.00141, 0.00082, 0.006, 0.00075,
0.00075, 0.00138, 0.0029, 0.00131, 0.00129, 0.00541, 0.00098,
0.00175, 0.00273, 0.00315, 0.0271, 0.0613, 0.00466, 0.00086,
0.00511, 0.00219, 0.00245, 0.00868, 0.00115, 0.00325, 8e-04,
0.0392, 0.00196, 0.00563, 0.0172, 0.00103, 0.0078, 0.00097,
0.00477, 0.012, 0.0035, 0.00338, 0.00075, 0.00507, 0.0203,
0.00245, 0.00075, 0.00185, 0.001, 0.00118, 0.00118, 0.00378,
0.0103, 0.00182, 0.00315, 0.0015, 0.00145, 0.00153, 0.0011,
0.00075, 0.00313, 0.00075, 0.00227, 0.00115, 0.00103, 0.00089,
0.00137, 0.00163, 0.00137, 0.00274, 0.00131, 0.00075, 0.00182,
0.00075, 0.00141, 0.00075, 0.00249, 0.0015, 0.00175, 0.0017,
0.01, 0.011, 0.00547, 0.00104, 0.00125, 0.00606, 0.002, 0.00238,
0.00075, 0.00578, 0.00075, 0.00077, 0.00294, 0.00702, 0.00684,
0.00416, 0.00227, 0.00199, 0.00155, 0.00409, 0.00145, 0.0019,
0.00145, 0.00075, 0.00075, 0.0011, 0.00141, 0.247, 0.00081,
0.00075, 0.00076, 0.00133, 0.00149, 0.00126, 0.00126, 0.00088,
0.00186, 0.0014, 0.00141, 0.00142, 0.00135, 0.00167, 0.00141,
0.00111, 0.00146, 0.00337, 0.00132, 0.00109, 0.00099, 0.00086,
0.00133, 0.00075, 0.0177, 0.00448, 0.0059, 0.0121, 0.167,
0.00291, 0.00181, 0.00176, 0.0125, 0.0045, 0.001, 0.00149,
0.00112, 0.00332, 0.00248, 0.00331, 0.00142, 0.00152, 0.00278,
0.00171, 0.00337, 0.00297, 0.00362, 0.00214, 0.00264, 0.00642,
0.00668, 0.00583, 0.00232, 0.00166, 0.00146, 0.00092, 0.00077,
0.00158, 0.00075, 0.00235, 0.00413, 0.00746, 0.00075, 0.0016,
0.00183, 0.00146, 0.00256, 0.00078, 0.00075, 0.00075, 0.00163,
0.00264, 0.00667, 0.0048, 0.00284, 0.0063, 0.00136, 0.00149,
0.00404, 0.00209, 0.00328, 0.00193, 0.00075, 0.00075, 0.00075,
0.00075, 0.00075, 0.00075, 0.00075, 0.00075, 0.00114, 0.00075,
0.00075, 0.00155, 0.00075, 0.00078, 8e-04, 0.00075, 0.00138,
0.00119, 0.00098, 0.00121, 0.00079, 0.00178, 0.00249, 0.0019,
0.00194, 0.00318, 0.00075, 0.00085, 0.00075, 0.00183, 0.00107,
0.00075, 0.00156, 0.00075, 0.00117, 0.00084, 0.00257, 0.00146,
0.00088, 0.00169, 0.00075, 0.00075, 0.00076, 0.00208, 0.00075,
0.00075, 0.00075, 0.00075, 0.00075, 0.00186, 0.00075, 0.00152,
0.00075, 0.00075, 0.00075, 0.00114, 0.00075, 0.00093, 0.00075,
0.00075, 0.00075, 0.00075, 0.00075, 0.00075, 0.00075, 0.00075,
0.00075, 0.00075, 0.00075, 0.00075, 0.00075, 0.00075, 0.00075,
0.00078, 0.00075, 0.00075, 0.00075, 0.00075, 0.00075, 0.00075,
0.00075, 0.00415, 0.00075, 0.00078, 0.00075, 0.00096, 0.00075,
0.00085, 0.00103, 0.00075, 0.00075, 0.00446, 0.00081, 0.00075,
0.00075, 0.00075, 0.00206, 0.00075, 0.00799, 0.00485, 0.00693,
0.00314, 0.00282, 0.00188, 0.0101, 0.00843, 0.0853, 0.0168,
0.0192, 0.00604, 0.0071, 0.00129, 0.00136, 0.00315, 0.00229,
0.00196, 0.00143, 0.00075, 0.00075, 0.00075, 0.00075, 0.00075,
0.00075, 0.00075, 0.00075, 0.00145, 0.00075, 0.0171, 0.00075,
0.00075, 0.00075, 0.00107, 0.00118, 0.00128, 0.00113, 0.00127,
0.00281, 0.00621, 0.00648, 0.00392, 0.00288, 0.00959, 0.00494,
0.00753, 0.00406, 0.00378, 0.00075, 0.0065, 0.00272, 0.00576,
0.00254, 0.00075, 0.00098, 0.00081, 0.00075, 0.00075, 0.00239,
0.00172, 0.00551, 0.0012, 0.00782, 0.0066, 0.00149, 0.00122,
0.00175, 0.00187, 0.00422, 0.00297, 0.0261, 0.00422, 0.00075,
0.00153, 0.00195, 0.00274, 0.0015, 0.00144, 0.0109, 0.00648,
0.00562, 0.00247, 0.00266, 0.00541, 0.00385, 0.002, 0.00187,
0.00288, 0.00167, 0.00346, 0.00195, 0.00104, 0.00102, 0.00145,
0.00159, 0.00265, 0.00195, 0.0011, 0.00129, 0.00318, 0.00273,
0.00682, 0.00523, 0.00675, 0.0283, 0.00333, 0.00322, 0.023,
0.0256, 0.0055, 0.00198, 0.2, 0.00147, 0.00316, 0.00657,
0.00233, 0.00091, 0.00552, 0.0106, 0.00088, 0.00397, 0.00514,
0.00075, 0.00075, 0.00193, 0.00075, 0.00183, 0.0025, 0.00863,
0.00258, 0.00293, 0.00774, 0.00135, 0.00136, 0.00185, 0.0016,
0.00278, 0.0013, 0.00083, 0.00362, 0.00132, 0.00091, 0.00097,
9e-04, 0.00137, 0.001, 0.00693, 0.00257, 0.00757, 0.00201,
0.00162, 0.00115, 0.00139, 0.00193, 0.00178, 0.00208, 0.00208,
0.00105, 0.00137, 0.00125, 0.00125, 0.0124, 0.0251, 0.0023,
0.00182, 0.00183, 0.00147, 0.00124, 0.00098, 0.00103, 0.00079,
0.00235, 0.00127, 0.00086, 8e-04, 0.00206, 0.00159, 0.00119,
0.00153, 0.001, 0.00128, 0.00149, 0.00214, 0.0016, 0.00117,
0.00152, 0.00171, 0.00173, 0.00206, 0.00224, 0.00162, 0.00206,
0.00084, 0.00325, 0.00108, 0.00093, 0.00187, 0.00178, 0.437,
0.0161, 0.0208, 0.0266, 0.02, 0.00743, 0.00518, 0.00573,
0.00403, 0.00497, 0.00347, 0.00339, 0.00319, 0.00254, 0.00385,
0.00405, 0.00386, 0.00396, 0.00728, 0.00267, 0.00281, 0.00337,
0.00224, 0.00243, 0.00223, 0.00243, 0.00495, 0.00467, 0.0109,
0.00627, 0.00286, 0.00259, 0.00288, 0.00258, 0.0025, 0.00248,
0.00242, 0.0045, 0.00308, 0.00075, 0.0211, 0.00531, 0.00538,
0.00535, 0.00216, 0.00157, 0.00197, 0.00173, 0.00171, 0.00187,
0.00177, 0.00188, 0.00164, 0.00148, 0.00186, 0.00251, 0.00166,
0.00144, 0.0015, 0.00166, 0.00185, 0.00173, 0.00177, 0.00144,
0.00154, 0.0019, 0.00243, 0.00225, 0.00209, 0.00178, 0.00225,
0.00162, 0.0019, 0.00207, 0.00166, 0.00166, 0.00179, 0.00152,
0.002, 0.00075, 0.00225, 0.00347, 0.0021, 0.00197, 0.00075,
0.00084, 0.00093, 0.0012, 0.00099, 0.00323, 0.00077, 0.00096,
0.00121, 0.079, 0.00854, 0.00606, 0.00515, 0.0031, 0.00317,
0.00214, 0.00252, 0.00274, 0.00168, 0.00175, 0.00143, 0.00177,
0.0162, 0.0113, 0.0036, 0.00496, 0.00075, 0.00075, 0.00075,
0.00083, 0.00129, 0.00115, 0.00199, 0.00114, 0.00803, 0.00115,
0.00129, 0.00095, 8e-04, 0.00087, 0.00107, 0.00106, 0.00105,
0.00104, 0.00098, 0.00094, 0.00098, 0.00103, 0.00096, 0.00125,
0.00099, 0.00087, 0.00261, 0.00131, 0.00128, 0.00126, 0.00103,
0.00659, 0.00233, 0.00505, 0.00778, 0.00278, 0.00305, 0.00374,
0.00096, 0.00075, 0.00107, 0.00136, 0.00104, 0.00099, 0.00075,
0.00075, 0.00075, 0.00308, 0.00075, 0.00075, 0.00075, 0.00075,
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TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, 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,
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FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
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FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
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FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE,
TRUE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
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0.00278, 0.0013, 0.00083, 0.00362, 0.00132, 0.00091, 0.00097,
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