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Rich Shepard

2012-Aug-22 22:26 UTC

[R] Error in if (n > 0)

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
-------------- next part --------------
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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, 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, 
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40388L, 40415L, 40442L, 40469L, 40496L, 40523L, 40550L, 40577L, 
40604L, 40631L, 40658L, 40685L, 40712L, 40739L, 40766L, 40793L, 
40820L, 40847L, 40874L, 40901L, 40928L, 40955L, 40982L, 41009L, 
41036L, 41063L, 41090L, 41117L, 41143L, 41170L, 41197L, 41224L, 
41251L, 41278L, 41305L, 41332L, 41359L, 41386L, 41413L, 41440L, 
41467L, 41494L, 41521L, 41548L, 41575L, 41602L, 41629L, 41656L, 
41683L, 41710L, 41737L, 41764L, 41791L, 41818L, 41845L, 41872L, 
41899L, 41926L, 41953L, 41980L, 42007L, 42036L, 42059L, 42081L, 
42110L, 42139L, 42168L, 42191L, 42213L, 42242L, 42267L, 42289L, 
42644L, 43122L, 43151L, 44002L, 48242L, 50102L, 53845L, 55367L, 
57333L, 60074L, 62496L, 65200L, 65214L), class = "data.frame")

David Winsemius

2012-Aug-22 22:53 UTC

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[R] Error in if (n > 0)

On Aug 22, 2012, at 3:26 PM, Rich Shepard wrote:
>  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.
It is not saying there are zero values for concentration.... it is  
saying there are groups with zero elements:

 > table(cu.t$ceneq1, cu.t$era)

         Mining Pre-mining
   FALSE    723          0
   TRUE     183          9

>
>  The dput() output of the data frame 'cu.t' is attached.
>-- 

David Winsemius, MD
Alameda, CA, USA

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[R] Error in if (n > 0)

[R] Error in if (n > 0)

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