Hi:
I have a dataset and need to interpolate for missing days. In Excel I either 
average from sampled days from above and below the missing days or use the 
TREND function to make up for the missing values. I have been reading about 
na.approx, is this function similar to the TREND function? Which is the best 
recommendable way to make up for missing data?
Here's my dataset: weeks 17,18,26 and 46 have 0 daysSamp.

Year    Week daysSamp     Lower TotalPD Upper   varTotalPD
2006    47      6       126988  188259  249530  1045878675
2006    48      7       189155  253350  317545  1148102355
2006    49      7       103300  132741  162182  241480186
2006    50      6       11801   252576  493352  16151006813
2006    51      7       2348    3671    4994    487926
2006    52      5       2606    29901   57196   215454181
2006    2       7       2968    4513    6058    664723
2006    3       7       1128    1889    2650    161231
2006    4       7       479     963     1447    65196
2006    5       7       2819    4413    6007    708094
2006    6       6       -1009   3128    7264    4766743
2006    7       7       -5239   10769   26777   71387835
2006    8       7       150     503     856     34685
2006    9       7       1858    2989    4120    356562
2006    10      7       193     494     795     25281
2006    11      7       125     346     567     13627
2006    12      7       432     767     1102    31189
2006    13      7       1229    1867    2505    113569
2006    14      7       813     1339    1865    77140
2006    15      4       -66     124     315     10105
2006    16      7       152     903     1654    157242
2006    17      0       
2006    18      0       
2006    19      5       0       0       0       0
2006    20      4       0       0       0       0
2006    21      5       0       0       0       0
2006    22      6       0       0       0       0
2006    23      7       -65     285     635     34112
2006    24      6       0       0       0       0
2006    25      7       0       0       0       0
2006    26      0                               
2006    27      4       228     931     1634    137726
2006    28      4       801     2231    3662    569977
2006    29      4       4544    9242    13939   6147522
2006    30      5       15798   28465   41131   44697915
2006    31      5       25398   41049   56701   68245523
2006    32      5       48197   82216   116235  322416917
2006    33      5       142980  230411  317841  2129630128
2006    34      5       227141  360468  493794  4952314336
2006    35      5       467244  756325  1045405 23281569629
2006    36      5       281049  463331  645614  9256900449
2006    37      2       227636  620330  1013023 42961663047
2006    38      3       478990  983472  1487954 70903343603
2006    39      7       539690  846522  1153354 26228718974
2006    40      7       320959  457866  594773  5221891252
2006    41      7       427561  582452  737343  6683813344
2006    42      7       271788  351103  430418  1752614293
2006    43      7       165019  208853  252687  535301133
2006    44      7       91514   117390  143266  186537178
2006    45      7       59061   79187   99313   112842787
2006    46      0       

Felipe D. Carrillo
Supervisory Fishery Biologist
Department of the Interior  
US Fish & Wildlife Service
  California, USA

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