{"id":189,"date":"2017-04-18T02:35:51","date_gmt":"2017-04-18T02:35:51","guid":{"rendered":"http:\/\/sites.warnercnr.colostate.edu\/gwhite\/?page_id=189"},"modified":"2017-04-18T02:36:17","modified_gmt":"2017-04-18T02:36:17","slug":"encounter-histories-file","status":"publish","type":"page","link":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/encounter-histories-file\/","title":{"rendered":"Encounter Histories File"},"content":{"rendered":"

Contents<\/a> – Index<\/a><\/span><\/p>\n

\n

Encounter Histories File<\/b><\/span><\/p>\n

The Encounter Histories File is the file that contains the encounter histories, i.e., the raw data needed by Program MARK.\u00a0 This file must consist of records with a length of 240 characters or less, with statements 1 or more records long.\u00a0 Statements are delimited with semi-colons. (NOTE: a common error is to leave off a “;”.)<\/b>\u00a0 Format<\/a> of the file depends on the data type<\/a>.\u00a0 The convention of Program Mark is that this file name ends in the INP suffix.\u00a0 The root part of the\u00a0 file name dictates the name of the dBASE file used to hold model results.\u00a0 For example, the input file MULEDEER.INP would produce a Results File<\/a> with the name MULEDEER.DBF and 2 additional files (MULEDEER.FPT and MULEDEER.CDX) that would contain the memo fields and index orderings, respectively.<\/span><\/p>\n

Encounter Histories Files do not contain any proc statements, but only encounter histories or recovery matrices.\u00a0 You can have group label statements and comment statements in the input file, just to help you remember what the file contains.\u00a0 The interactive interface adds the necessary program statements to produce parameter estimates with the numerical algorithm based on the model specified.<\/span><\/p>\n

The Encounter Histories File is incorporated into the results database created to hold parameter estimates and other results.\u00a0 Because all results in the results database depend on the encounter histories not changing so that the model selection results are comparable, you cannot change the input.\u00a0 Even if you change the values in the Encounter Histories File, the Results File<\/a> will not change.\u00a0 The only way to produce models from a changed Encounter Histories File is to\u00a0 incorporate the changed file into a new results database.\u00a0 You can view the encounter histories in the results database by having it listed in the results for a model by checking the list data<\/a> checkbox in the Run Window<\/a>.\u00a0 You should check this box the first run or so to verify that MARK is reading your encounter history file correctly.\u00a0 Also, check this box to\u00a0 determine what line of your input is causing an error.<\/span><\/p>\n

Some examples of Encounter Histories Files follow.\u00a0 First, a joint live recapture and dead recovery file is shown, with only one group,\u00a0 but 5 encounter occasions.\u00a0 This example would be data type both.\u00a0 The encounter histories are alternating live recaptures and dead recoveries, i.e.,\u00a0<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0 LDLDLDLDLD<\/span><\/p>\n

with 1 indicating a recapture or recovery, and 0 indicating no encounter.<\/span><\/p>\n

1000000000\u00a0 41152;<\/span>
\n1000000001\u00a0 1923;<\/span>
\n1000000010\u00a0 557;<\/span>
\n1000000011\u00a0 103;<\/span>
\n1000000100\u00a0 2897;<\/span>
\n1000001000\u00a0 1119;<\/span>
\n1000001001\u00a0 148;<\/span>
\n1000001010\u00a0 378;<\/span>
\n1000001011\u00a0 70;<\/span>
\n1000001100\u00a0 336;<\/span>
\n1000010000\u00a0 4611;<\/span>
\n1000100000\u00a0 2599;<\/span>
\n1000100001\u00a0 237;<\/span>
\n1000100010\u00a0 376;<\/span>
\n1000100011\u00a0 75;<\/span>
\n1000100100\u00a0 434;<\/span>
\n1000101000\u00a0 740;<\/span>
\n1000101001\u00a0 92;<\/span>
\n1000101010\u00a0 273;<\/span>
\n1000101011\u00a0 35;<\/span>
\n1000101100\u00a0 182;<\/span>
\n1000110000\u00a0 897;<\/span>
\n1001000000\u00a0 7676;<\/span>
\n1010000000\u00a0 7102;<\/span>
\n1010000001\u00a0 409;<\/span>
\n1010000010\u00a0 388;<\/span>
\n1010000011\u00a0 62;<\/span>
\n1010000100\u00a0 708;<\/span>
\n1010001000\u00a0 731;<\/span>
\n1010001001\u00a0 98;<\/span>
\n1010001010\u00a0 251;<\/span>
\n1010001011\u00a0 41;<\/span>
\n1010001100\u00a0 200;<\/span>
\n1010010000\u00a0 1293;<\/span>
\n1010100000\u00a0 1713;<\/span>
\n1010100001\u00a0 151;<\/span>
\n1010100010\u00a0 254;<\/span>
\n1010100011\u00a0 48;<\/span>
\n1010100100\u00a0 277;<\/span>
\n1010101000\u00a0 538;<\/span>
\n1010101001\u00a0 66;<\/span>
\n1010101010\u00a0 184;<\/span>
\n1010101011\u00a0 24;<\/span>
\n1010101100\u00a0 144;<\/span>
\n1010110000\u00a0 583;<\/span>
\n1011000000\u00a0 2672;<\/span>
\n1100000000\u00a0 15153;<\/span><\/p>\n

Next is a live recapture data set with 2 groups and 6 encounter occasions.\u00a0 The data type is live recaptures.\u00a0 The encounter history is coded for just the live encounters, i.e.,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0 LLLLLL<\/span><\/p>\n

and the initial capture is counted as an encounter occasion.\u00a0 Again, the\u00a0 encounter histories are given, with 1 indicating a live capture or recapture, and 0 meaning not captured.\u00a0 The number of animals in each group follows the encounter history. Negative values indicate animals that were not released again, i.e., losses on capture.\u00a0 The following example is the input for the example data in the American Fisheries Society Monograph No. 5 by Burnham et al. (1987)<\/a>.\u00a0 The data are available in the AFSMONGR.INP file, with results in AFSMONGR.DBF.<\/span><\/p>\n

100000\u00a0 25925\u00a0 24605;<\/span>
\n100001\u00a0 563\u00a0 605;<\/span>
\n100001\u00a0 -27\u00a0 -36;<\/span>
\n100010\u00a0 508\u00a0 522;<\/span>
\n100010\u00a0 -23\u00a0 -25;<\/span>
\n100011\u00a0 17\u00a0 23;<\/span>
\n100011\u00a0 -1\u00a0 -1;<\/span>
\n100100\u00a0 1500\u00a0 1678;<\/span>
\n100100\u00a0 -81\u00a0 -57;<\/span>
\n100101\u00a0 45\u00a0 48;<\/span>
\n100101\u00a0 -3\u00a0 -1;<\/span>
\n100110\u00a0 37\u00a0 44;<\/span>
\n100110\u00a0 -2\u00a0 -2;<\/span>
\n100111\u00a0 1\u00a0 2;<\/span>
\n101000\u00a0 193\u00a0 207;<\/span>
\n101000\u00a0 -14\u00a0 -10;<\/span>
\n101001\u00a0 5\u00a0 9;<\/span>
\n101010\u00a0 7\u00a0 4;<\/span>
\n101100\u00a0 16\u00a0 14;<\/span>
\n101100\u00a0 -1\u00a0 -1;<\/span>
\n101101\u00a0 1\u00a0 1;<\/span>
\n101110\u00a0 1\u00a0 1;<\/span>
\n110000\u00a0 872\u00a0 935;<\/span>
\n110000\u00a0 -29\u00a0 -33;<\/span>
\n110001\u00a0 26\u00a0 28;<\/span>
\n110001\u00a0 -1\u00a0 -1;<\/span>
\n110010\u00a0 16\u00a0 18;<\/span>
\n110010\u00a0 -1\u00a0 -1;<\/span>
\n110100\u00a0 67\u00a0 68;<\/span>
\n110100\u00a0 -3\u00a0 -4;<\/span>
\n110101\u00a0 1\u00a0 2;<\/span>
\n110110\u00a0 2\u00a0 1;<\/span>
\n111000\u00a0 10\u00a0 12;<\/span>
\n111001\u00a0 0\u00a0 1;<\/span>
\n111100\u00a0 1\u00a0 0;<\/span><\/p>\n

The next example is the summarized input for a dead recovery data set.\u00a0 The triangular matrices represent 2 groups; adults, then young.\u00a0 Following each matrix is the number of animals banded each year.\u00a0 This format is similar to that used by Brownie et al. (1985)<\/a>.\u00a0 The following data are available in the input file NPMALES.INP, with results in NPMALES.DBF.<\/span><\/p>\n

recovery matrix group=1;<\/span><\/p>\n

7\u00a0 4\u00a0 1\u00a0 0\u00a0 1\u00a0 0\u00a0 0\u00a0 0\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0 8\u00a0 5\u00a0 1\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0 10\u00a0 4\u00a0 2\u00a0 0\u00a0 1\u00a0 1\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 16\u00a0 3\u00a0 2\u00a0 0\u00a0 0\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 12\u00a0 3\u00a0 2\u00a0 3\u00a0 0\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 10\u00a0 9\u00a0 3\u00a0 0\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 14\u00a0 9\u00a0 3\u00a0 3 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 9\u00a0 5\u00a0 2 1\u00a0 0\u00a0 1\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 16\u00a0 5 2\u00a0 0\u00a0 1\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 19 6\u00a0 2\u00a0 1\u00a0 0\u00a0 1;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 15 3\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 8\u00a0 5\u00a0 1\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 10\u00a0 1\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 8\u00a0 1;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 10;\u00a0<\/span>
\n99\u00a0 88\u00a0 153\u00a0 114\u00a0 123\u00a0 98\u00a0 146\u00a0 173 190\u00a0 190\u00a0 157\u00a0 92\u00a0 88\u00a0 51\u00a0 85;<\/span><\/p>\n

recovery matrix group=2;\u00a0<\/span><\/p>\n

6\u00a0 4\u00a0 6\u00a0 1\u00a0 0\u00a0 1\u00a0 0\u00a0 0\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n6\u00a0 5\u00a0 2\u00a0 1\u00a0 0\u00a0 0\u00a0 0\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0 18\u00a0 6\u00a0 6\u00a0 2\u00a0 0\u00a0 1\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0 17\u00a0 5\u00a0 6\u00a0 2\u00a0 1\u00a0 1 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 20\u00a0 9\u00a0 6\u00a0 2\u00a0 1\u00a0 1 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 14\u00a0 4\u00a0 3\u00a0 1\u00a0 0 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 13\u00a0 4\u00a0 0\u00a0 1 0\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 13\u00a0 5\u00a0 3 1\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 13\u00a0 5 4\u00a0 0\u00a0 0\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 7 1\u00a0 3\u00a0 1\u00a0 1\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 15 10\u00a0 2\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 12\u00a0 4\u00a0 0\u00a0 0;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 16\u00a0 4\u00a0 1;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 5\u00a0 2;\u00a0<\/span>
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 8;\u00a0<\/span>
\n80\u00a0 54\u00a0 138\u00a0 120\u00a0 183\u00a0 106\u00a0 111\u00a0 127 110\u00a0 110\u00a0 152\u00a0 102\u00a0 163\u00a0 104\u00a0 117;<\/span><\/p>\n

Dead recoveries can also be coded as encounter histories in the<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0 LDLDLDLDLDLD<\/span><\/p>\n

format.\u00a0 The following is an example of only dead recoveries, because a live animal is never captured alive after its initial capture.\u00a0 That is, none of the encounter histories have more than one 1 in an L column.\u00a0 This example has 15 encounter occasions and 1 group.\u00a0 If you study this example, you will see that 500 animals were banded each banding occasion.<\/span><\/p>\n

000000000000000000000000000010 465;<\/span>
\n000000000000000000000000000011 35;<\/span>
\n000000000000000000000000001000 418;<\/span>
\n000000000000000000000000001001 15;<\/span>
\n000000000000000000000000001100 67;<\/span>
\n000000000000000000000000100000 395;<\/span>
\n000000000000000000000000100001 3;<\/span>
\n000000000000000000000000100100 25;<\/span>
\n000000000000000000000000110000 77;<\/span>
\n000000000000000000000010000000 399;<\/span>
\n000000000000000000000010000001 1;<\/span>
\n000000000000000000000010000100 11;<\/span>
\n000000000000000000000010010000 36;<\/span>
\n000000000000000000000011000000 53;<\/span>
\n000000000000000000001000000000 406;<\/span>
\n000000000000000000001000000001 1;<\/span>
\n000000000000000000001000000100 6;<\/span>
\n000000000000000000001000010000 17;<\/span>
\n000000000000000000001001000000 27;<\/span>
\n000000000000000000001100000000 43;<\/span>
\n000000000000000000100000000000 430;<\/span>
\n000000000000000000100000000100 1;<\/span>
\n000000000000000000100000010000 7;<\/span>
\n000000000000000000100001000000 17;<\/span>
\n000000000000000000100100000000 27;<\/span>
\n000000000000000000110000000000 18;<\/span>
\n000000000000000010000000000000 433;<\/span>
\n000000000000000010000000010000 4;<\/span>
\n000000000000000010000001000000 3;<\/span>
\n000000000000000010000100000000 14;<\/span>
\n000000000000000010010000000000 9;<\/span>
\n000000000000000011000000000000 37;<\/span>
\n000000000000001000000000000000 417;<\/span>
\n000000000000001000000000000100 3;<\/span>
\n000000000000001000000000010000 3;<\/span>
\n000000000000001000000001000000 4;<\/span>
\n000000000000001000000100000000 8;<\/span>
\n000000000000001000010000000000 5;<\/span>
\n000000000000001001000000000000 29;<\/span>
\n000000000000001100000000000000 31;<\/span>
\n000000000000100000000000000000 443;<\/span>
\n000000000000100000000000010000 2;<\/span>
\n000000000000100000000001000000 1;<\/span>
\n000000000000100000000100000000 7;<\/span>
\n000000000000100000010000000000 4;<\/span>
\n000000000000100001000000000000 8;<\/span>
\n000000000000100100000000000000 12;<\/span>
\n000000000000110000000000000000 23;<\/span>
\n000000000010000000000000000000 427;<\/span>
\n000000000010000000000001000000 1;<\/span>
\n000000000010000000000100000000 1;<\/span>
\n000000000010000001000000000000 7;<\/span>
\n000000000010000100000000000000 8;<\/span>
\n000000000010010000000000000000 10;<\/span>
\n000000000011000000000000000000 46;<\/span>
\n000000001000000000000000000000 386;<\/span>
\n000000001000000000000001000000 2;<\/span>
\n000000001000000000000100000000 4;<\/span>
\n000000001000000001000000000000 1;<\/span>
\n000000001000000100000000000000 9;<\/span>
\n000000001000010000000000000000 4;<\/span>
\n000000001001000000000000000000 39;<\/span>
\n000000001100000000000000000000 55;<\/span>
\n000000100000000000000000000000 393;<\/span>
\n000000100000000000000000010000 1;<\/span>
\n000000100000000000010000000000 1;<\/span>
\n000000100000000100000000000000 1;<\/span>
\n000000100000010000000000000000 5;<\/span>
\n000000100001000000000000000000 16;<\/span>
\n000000100100000000000000000000 34;<\/span>
\n000000110000000000000000000000 49;<\/span>
\n000010000000000000000000000000 410;<\/span>
\n000010000000000000000000010000 1;<\/span>
\n000010000000000100000000000000 3;<\/span>
\n000010000000010000000000000000 2;<\/span>
\n000010000001000000000000000000 12;<\/span>
\n000010000100000000000000000000 19;<\/span>
\n000010010000000000000000000000 19;<\/span>
\n000011000000000000000000000000 34;<\/span>
\n001000000000000000000000000000 369;<\/span>
\n001000000000000100000000000000 2;<\/span>
\n001000000001000000000000000000 7;<\/span>
\n001000000100000000000000000000 12;<\/span>
\n001000010000000000000000000000 13;<\/span>
\n001001000000000000000000000000 16;<\/span>
\n001100000000000000000000000000 81;<\/span>
\n100000000000000000000000000000 385;<\/span>
\n100000000000000001000000000000 1;<\/span>
\n100000000000010000000000000000 1;<\/span>
\n100000000001000000000000000000 1;<\/span>
\n100000000100000000000000000000 8;<\/span>
\n100000010000000000000000000000 11;<\/span>
\n100001000000000000000000000000 9;<\/span>
\n100100000000000000000000000000 51;<\/span>
\n110000000000000000000000000000 33;<\/span><\/p>\n

The next example is the input for a known fate data set.\u00a0 Each line presents the number of animals monitored for one time interval, in this case, a week.\u00a0 The first value is the number of animals monitored, followed by the number that died during the interval.\u00a0 Each group is provided in a separate matrix.\u00a0 In the following example, a group of black ducks are monitored for 8 weeks (Conroy et al. 1989).\u00a0 The data are available in the file KAPMEIER.INP with results in KAPMEIER.DBF.<\/span><\/p>\n

known fate group=1;\u00a0<\/span>
\n\u00a0 48\u00a0 1;\u00a0<\/span>
\n\u00a0 47\u00a0 2;\u00a0<\/span>
\n\u00a0 41\u00a0 2;\u00a0<\/span>
\n\u00a0 39\u00a0 5;\u00a0<\/span>
\n\u00a0 32\u00a0 4;\u00a0<\/span>
\n\u00a0 28\u00a0 3;\u00a0<\/span>
\n\u00a0 25\u00a0 1;\u00a0<\/span>
\n\u00a0 24\u00a0 0;\u00a0<\/span><\/p>\n

The following example demonstrates 2 groups.\u00a0 For multiple groups, the number of entries for each group must be the same, i.e., each group must have the same number of time intervals.\u00a0 These data came from Pollock et al. (1989)<\/a> on staggered-entry Kaplan-Meier models.\u00a0 There are 9 encounter occasions.\u00a0 The data are in the file KM2.INP with results in KM2.DBF.<\/span><\/p>\n

known fate group=1;<\/span>
\n\u00a0 7 1;<\/span>
\n\u00a0 6 0;<\/span>
\n\u00a0 8 0;<\/span>
\n\u00a0 13 0;<\/span>
\n\u00a0 18 0;<\/span>
\n\u00a0 18 0;<\/span>
\n\u00a0 18 0;<\/span>
\n\u00a0 18 0;<\/span>
\n\u00a0 18 0;<\/span>
\n\u00a0 known fate group=2;<\/span>
\n\u00a0 7 0;<\/span>
\n\u00a0 6 0;<\/span>
\n\u00a0 11 1;<\/span>
\n\u00a0 10 0;<\/span>
\n\u00a0 16 1;<\/span>
\n\u00a0 15 0;<\/span>
\n\u00a0 15 1;<\/span>
\n\u00a0 14 0;<\/span>
\n\u00a0 14 3;<\/span><\/p>\n

Next is an example of known fate data from Conroy et al. (1987)<\/a>, where individual covariates<\/a> are included.\u00a0 These are the same data as described above, but with individual covariates added.\u00a0 Note that individual covariates cannot have missing values<\/a>.\u00a0 Comments are given at the start of each line to identify the individual.\u00a0 Then comes the capture history for this individual, in a LDLDLD… sequence.\u00a0 Thus the first capture history is for an animal that was released on occasion 1, and died during the interval.\u00a0 The second animal was released on occasion 1, survived the interval, released again on occasion 2, and died during this second interval.\u00a0 Following the capture history is the count of animals with this history (always 1 in this example).\u00a0 Then, 4 covariates are\u00a0 provided.\u00a0 The first is a dummy variable representing age (0=subadult, 1=adult), then a condition index, wing length, and body weight.\u00a0 These data are available in the file BLCKDUCK.INP with\u00a0 results in BLCKDUCK.DBF.\u00a0 Time covariates have also been included in the analysis.\u00a0 The number of days during the week when the minimum temperature was less than 0 degrees C, labeled “min<0” in the analysis: 4, 6, 7, 7, 7, 6, 5, and 5 for weeks 1-8, respectively.\u00a0\u00a0 This variable makes some sense biologically because when the temperature is less than freezing, the mud flats used by black ducks to feed are covered with ice, making life more difficult for the ducks.\u00a0 Other time covariates that might be used are average maximum temperature (degrees F) during the week (42,14, 31.43, 37.86, 43.00, 31.00, 25.29, 46.86, and 40.29), average minimum temperature (degrees F) (32.14, 16.29, 19.29, 23.00, 15.00, 8.43, 27.29, and 23.71) and minimum temperature (degrees F) during the\u00a0 week (19, 4, 13, 14, 9, -7, 22, and 9).\u00a0 These data are also used by Skalski et al. (1994)<\/a> in the SURPH manual as an example data set.<\/span><\/p>\n

\/* 01 *\/\u00a0 1100000000000000 1\u00a0 1 1.16 27.7 4.19;<\/span>
\n\/* 04 *\/\u00a0 1011000000000000 1\u00a0 0 1.16 26.4 4.39;<\/span>
\n\/* 05 *\/\u00a0 1011000000000000 1\u00a0 1 1.08 26.7 4.04;<\/span>
\n\/* 06 *\/\u00a0 1010000000000000 1\u00a0 0 1.12 26.2 4.27;<\/span>
\n\/* 07 *\/\u00a0 1010000000000000 1\u00a0 1 1.14 27.7 4.11;<\/span>
\n\/* 08 *\/\u00a0 1010110000000000 1\u00a0 1 1.20 28.3 4.24;<\/span>
\n\/* 09 *\/\u00a0 1010000000000000 1\u00a0 1 1.10 26.4 4.17;<\/span>
\n\/* 10 *\/\u00a0 1010110000000000 1\u00a0 1 1.42 27.0 5.26;<\/span>
\n\/* 11 *\/\u00a0 1010000000000000 1\u00a0 1 1.12 27.2 4.12;<\/span>
\n\/* 12 *\/\u00a0 1010101100000000 1\u00a0 1 1.11 27.1 4.10;<\/span>
\n\/* 13 *\/\u00a0 1010101100000000 1\u00a0 0 1.07 26.8 3.99;<\/span>
\n\/* 14 *\/\u00a0 1010101100000000 1\u00a0 0 0.94 25.2 3.73;<\/span>
\n\/* 15 *\/\u00a0 1010101100000000 1\u00a0 0 1.24 27.1 4.58;<\/span>
\n\/* 16 *\/\u00a0 1010101100000000 1\u00a0 0 1.12 26.5 4.23;<\/span>
\n\/* 17 *\/\u00a0 1010101000000000 1\u00a0 1 1.34 27.5 4.87;<\/span>
\n\/* 18 *\/\u00a0 1010101011000000 1\u00a0 0 1.01 27.2 3.71;<\/span>
\n\/* 19 *\/\u00a0 1010101011000000 1\u00a0 0 1.04 27.0 3.85;<\/span>
\n\/* 20 *\/\u00a0 1010101000000000 1\u00a0 1 1.25 27.6 4.53;<\/span>
\n\/* 21 *\/\u00a0 1010101011000000 1\u00a0 0 1.20 27.6 4.35;<\/span>
\n\/* 22 *\/\u00a0 1010101011000000 1\u00a0 0 1.28 27.0 4.74;<\/span>
\n\/* 23 *\/\u00a0 1010101010110000 1\u00a0 0 1.25 27.2 4.59;<\/span>
\n\/* 24 *\/\u00a0 1010101010110000 1\u00a0 0 1.09 27.5 3.96;<\/span>
\n\/* 25 *\/\u00a0 1010101010110000 1\u00a0 1 1.05 27.5 3.82;<\/span>
\n\/* 26 *\/\u00a0 1010101010101100 1\u00a0 0 1.04 25.5 4.08;<\/span>
\n\/* 27 *\/\u00a0 1010101010101010 1\u00a0 0 1.13 26.8 4.22;<\/span>
\n\/* 28 *\/\u00a0 1010101010101010 1\u00a0 1 1.32 28.5 4.63;<\/span>
\n\/* 29 *\/\u00a0 1010101010101010 1\u00a0 0 1.18 25.9 4.56;<\/span>
\n\/* 30 *\/\u00a0 1010101010101010 1\u00a0 0 1.07 26.7 4.01;<\/span>
\n\/* 31 *\/\u00a0 1010101010101010 1\u00a0 1 1.26 26.9 4.68;<\/span>
\n\/* 32 *\/\u00a0 1010101010101010 1\u00a0 0 1.27 27.6 4.60;<\/span>
\n\/* 33 *\/\u00a0 1010101010101010 1\u00a0 0 1.08 26.0 4.15;<\/span>
\n\/* 34 *\/\u00a0 1010101010101010 1\u00a0 1 1.11 27.0 4.11;<\/span>
\n\/* 35 *\/\u00a0 1010101010101010 1\u00a0 0 1.15 27.1 4.24;<\/span>
\n\/* 36 *\/\u00a0 1010101010101010 1\u00a0 0 1.03 26.5 3.89;<\/span>
\n\/* 37 *\/\u00a0 1010101010101010 1\u00a0 0 1.16 27.5 4.22;<\/span>
\n\/* 38 *\/\u00a0 1010101010101010 1\u00a0 0 1.18 26.3 4.49;<\/span>
\n\/* 39 *\/\u00a0 1010101010101010 1\u00a0 0 1.05 27.1 3.87;<\/span>
\n\/* 40 *\/\u00a0 1010101010101010 1\u00a0 1 1.28 28.1 4.55;<\/span>
\n\/* 41 *\/\u00a0 1010101010101010 1\u00a0 0 1.05 27.5 3.82;<\/span>
\n\/* 42 *\/\u00a0 1010101010101010 1\u00a0 0 1.16 26.6 4.36;<\/span>
\n\/* 43 *\/\u00a0 1010101010101010 1\u00a0 0 1.15 26.3 4.37;<\/span>
\n\/* 44 *\/\u00a0 1010101010101010 1\u00a0 1 1.27 27.0 4.70;<\/span>
\n\/* 45 *\/\u00a0 1010101010101010 1\u00a0 1 1.37 27.5 4.98;<\/span>
\n\/* 46 *\/\u00a0 1010101010101010 1\u00a0 1 1.22 26.5 4.60;<\/span>
\n\/* 47 *\/\u00a0 1010101010101010 1\u00a0 0 1.22 26.8 4.55;<\/span>
\n\/* 48 *\/\u00a0 1010101010101010 1\u00a0 0 1.14 26.2 4.35;<\/span>
\n\/* 49 *\/\u00a0 1010101010101010 1\u00a0 0 1.14 27.0 4.22;<\/span>
\n\/* 50 *\/\u00a0 1010101010101010 1\u00a0 0 1.12 27.4 4.09;<\/span><\/p>\n

The following input is an example of a closed captures data set.\u00a0 The capture histories are specified as a single 1 or 0 for each occasion, representing captured (=1) or not captured (=0).\u00a0 Following the capture history is the frequency, or count of the number of animals with this capture history, for each group.\u00a0 In the example, 2 groups are provided.\u00a0 Individual covariates are not allowed with closed captures, because you do not have any information on the individuals never captured.\u00a0 This data set could have been stored more compactly by not representing each animal on a separate line of input.\u00a0 The advantage of entering the data as shown is that the input file can also be used with Program CAPTURE.\u00a0 These data are available in the file MCAPTURE.INP, with results in MCAPTURE.DBF.\u00a0 They are simulated data, where the true model is the same Mo for both groups, with p = 0.4, and N = 200 for both groups.<\/span><\/p>\n

0101010\u00a0 1\u00a0 0;<\/span>
\n0011000\u00a0 1\u00a0 0;<\/span>
\n1001100\u00a0 1\u00a0 0;<\/span>
\n1100101\u00a0 1\u00a0 0;<\/span>
\n0101010\u00a0 1\u00a0 0;<\/span>
\n1011011\u00a0 1\u00a0 0;<\/span>
\n1000010\u00a0 1\u00a0 0;<\/span>
\n1011110\u00a0 1\u00a0 0;<\/span>
\n1011010\u00a0 1\u00a0 0;<\/span>
\n1011000\u00a0 1\u00a0 0;<\/span>
\n0000001\u00a0 1\u00a0 0;<\/span>
\n0001010\u00a0 1\u00a0 0;<\/span>
\n0101110\u00a0 1\u00a0 0;<\/span>
\n1000101\u00a0 1\u00a0 0;<\/span>
\n0101000\u00a0 1\u00a0 0;<\/span>
\n1001000\u00a0 1\u00a0 0;<\/span>
\n0010011\u00a0 1\u00a0 0;<\/span>
\n1110000\u00a0 1\u00a0 0;<\/span>
\n1000010\u00a0 1\u00a0 0;<\/span>
\n0000100\u00a0 1\u00a0 0;<\/span>
\n0100000\u00a0 1\u00a0 0;<\/span>
\n0001010\u00a0 1\u00a0 0;<\/span>
\n0000110\u00a0 1\u00a0 0;<\/span>
\n0110100\u00a0 1\u00a0 0;<\/span>
\n0110100\u00a0 1\u00a0 0;<\/span>
\n1010101\u00a0 1\u00a0 0;<\/span>
\n0000101\u00a0 1\u00a0 0;<\/span>
\n0010001\u00a0 1\u00a0 0;<\/span>
\n0000010\u00a0 1\u00a0 0;<\/span>
\n0001010\u00a0 1\u00a0 0;<\/span>
\n1001000\u00a0 1\u00a0 0;<\/span>
\n1010000\u00a0 1\u00a0 0;<\/span>
\n1010111\u00a0 1\u00a0 0;<\/span>
\n1000000\u00a0 1\u00a0 0;<\/span>
\n1011100\u00a0 1\u00a0 0;<\/span>
\n0010000\u00a0 1\u00a0 0;<\/span>
\n0001101\u00a0 1\u00a0 0;<\/span>
\n0101111\u00a0 1\u00a0 0;<\/span>
\n1101010\u00a0 1\u00a0 0;<\/span>
\n0010101\u00a0 1\u00a0 0;<\/span>
\n0110011\u00a0 1\u00a0 0;<\/span>
\n1001001\u00a0 1\u00a0 0;<\/span>
\n0010110\u00a0 1\u00a0 0;<\/span>
\n0011011\u00a0 1\u00a0 0;<\/span>
\n0010100\u00a0 1\u00a0 0;<\/span>
\n1001000\u00a0 1\u00a0 0;<\/span>
\n0010111\u00a0 1\u00a0 0;<\/span>
\n0101100\u00a0 1\u00a0 0;<\/span>
\n1100100\u00a0 1\u00a0 0;<\/span>
\n0011100\u00a0 1\u00a0 0;<\/span>
\n0000100\u00a0 1\u00a0 0;<\/span>
\n0100000\u00a0 1\u00a0 0;<\/span>
\n0010010\u00a0 1\u00a0 0;<\/span>
\n0011000\u00a0 1\u00a0 0;<\/span>
\n1110000\u00a0 1\u00a0 0;<\/span>
\n1111010\u00a0 1\u00a0 0;<\/span>
\n1101010\u00a0 1\u00a0 0;<\/span>
\n1101011\u00a0 1\u00a0 0;<\/span>
\n1010000\u00a0 1\u00a0 0;<\/span>
\n1000000\u00a0 1\u00a0 0;<\/span>
\n1011001\u00a0 1\u00a0 0;<\/span>
\n1011000\u00a0 1\u00a0 0;<\/span>
\n0000111\u00a0 1\u00a0 0;<\/span>
\n1011100\u00a0 1\u00a0 0;<\/span>
\n1010100\u00a0 1\u00a0 0;<\/span>
\n1000000\u00a0 1\u00a0 0;<\/span>
\n0001100\u00a0 1\u00a0 0;<\/span>
\n0011110\u00a0 1\u00a0 0;<\/span>
\n0000001\u00a0 1\u00a0 0;<\/span>
\n0011100\u00a0 1\u00a0 0;<\/span>
\n0010000\u00a0 1\u00a0 0;<\/span>
\n1001100\u00a0 1\u00a0 0;<\/span>
\n1010101\u00a0 1\u00a0 0;<\/span>
\n1001000\u00a0 1\u00a0 0;<\/span>
\n1101000\u00a0 1\u00a0 0;<\/span>
\n1101000\u00a0 1\u00a0 0;<\/span>
\n1011001\u00a0 1\u00a0 0;<\/span>
\n0100000\u00a0 1\u00a0 0;<\/span>
\n0101000\u00a0 1\u00a0 0;<\/span>
\n0000101\u00a0 1\u00a0 0;<\/span>
\n0011001\u00a0 1\u00a0 0;<\/span>
\n0000111\u00a0 1\u00a0 0;<\/span>
\n1000001\u00a0 1\u00a0 0;<\/span>
\n1111001\u00a0 1\u00a0 0;<\/span>
\n1010001\u00a0 1\u00a0 0;<\/span>
\n1101011\u00a0 1\u00a0 0;<\/span>
\n0010100\u00a0 1\u00a0 0;<\/span>
\n1110101\u00a0 1\u00a0 0;<\/span>
\n0000100\u00a0 1\u00a0 0;<\/span>
\n0100000\u00a0 1\u00a0 0;<\/span>
\n0101010\u00a0 1\u00a0 0;<\/span>
\n0000101\u00a0 1\u00a0 0;<\/span>
\n1010001\u00a0 1\u00a0 0;<\/span>
\n0011000\u00a0 1\u00a0 0;<\/span>
\n0001001\u00a0 1\u00a0 0;<\/span>
\n0000100\u00a0 1\u00a0 0;<\/span>
\n1010011\u00a0 1\u00a0 0;<\/span>
\n0110000\u00a0 1\u00a0 0;<\/span>
\n0000001\u00a0 1\u00a0 0;<\/span>
\n0001100\u00a0 1\u00a0 0;<\/span>
\n0000111\u00a0 1\u00a0 0;<\/span>
\n0001001\u00a0 1\u00a0 0;<\/span>
\n1101000\u00a0 1\u00a0 0;<\/span>
\n0101001\u00a0 1\u00a0 0;<\/span>
\n1101000\u00a0 1\u00a0 0;<\/span>
\n0001111\u00a0 1\u00a0 0;<\/span>
\n1100010\u00a0 1\u00a0 0;<\/span>
\n1010000\u00a0 1\u00a0 0;<\/span>
\n1111100\u00a0 1\u00a0 0;<\/span>
\n1111000\u00a0 1\u00a0 0;<\/span>
\n0101110\u00a0 1\u00a0 0;<\/span>
\n1101001\u00a0 1\u00a0 0;<\/span>
\n1011001\u00a0 1\u00a0 0;<\/span>
\n1011100\u00a0 1\u00a0 0;<\/span>
\n0000001\u00a0 1\u00a0 0;<\/span>
\n0001100\u00a0 1\u00a0 0;<\/span>
\n1011001\u00a0 1\u00a0 0;<\/span>
\n1011100\u00a0 1\u00a0 0;<\/span>
\n1001100\u00a0 1\u00a0 0;<\/span>
\n1001010\u00a0 1\u00a0 0;<\/span>
\n0011001\u00a0 1\u00a0 0;<\/span>
\n0101001\u00a0 1\u00a0 0;<\/span>
\n1000100\u00a0 1\u00a0 0;<\/span>
\n1000100\u00a0 1\u00a0 0;<\/span>
\n1000101\u00a0 1\u00a0 0;<\/span>
\n1100101\u00a0 1\u00a0 0;<\/span>
\n1000010\u00a0 1\u00a0 0;<\/span>
\n0011100\u00a0 1\u00a0 0;<\/span>
\n1110000\u00a0 1\u00a0 0;<\/span>
\n1001000\u00a0 1\u00a0 0;<\/span>
\n1110100\u00a0 1\u00a0 0;<\/span>
\n1000100\u00a0 1\u00a0 0;<\/span>
\n1000000\u00a0 1\u00a0 0;<\/span>
\n1101001\u00a0 1\u00a0 0;<\/span>
\n1001011\u00a0 1\u00a0 0;<\/span>
\n0000010\u00a0 1\u00a0 0;<\/span>
\n0001100\u00a0 1\u00a0 0;<\/span>
\n1111110\u00a0 1\u00a0 0;<\/span>
\n0110011\u00a0 1\u00a0 0;<\/span>
\n0000001\u00a0 1\u00a0 0;<\/span>
\n1101101\u00a0 1\u00a0 0;<\/span>
\n0000101\u00a0 1\u00a0 0;<\/span>
\n1011101\u00a0 1\u00a0 0;<\/span>
\n0010110\u00a0 1\u00a0 0;<\/span>
\n0100010\u00a0 1\u00a0 0;<\/span>
\n0101101\u00a0 1\u00a0 0;<\/span>
\n1000000\u00a0 1\u00a0 0;<\/span>
\n0001010\u00a0 1\u00a0 0;<\/span>
\n1011100\u00a0 1\u00a0 0;<\/span>
\n1110001\u00a0 1\u00a0 0;<\/span>
\n1100010\u00a0 1\u00a0 0;<\/span>
\n0011001\u00a0 1\u00a0 0;<\/span>
\n1110110\u00a0 1\u00a0 0;<\/span>
\n1001010\u00a0 1\u00a0 0;<\/span>
\n1010000\u00a0 1\u00a0 0;<\/span>
\n1110000\u00a0 1\u00a0 0;<\/span>
\n1110100\u00a0 1\u00a0 0;<\/span>
\n0001000\u00a0 1\u00a0 0;<\/span>
\n1011010\u00a0 1\u00a0 0;<\/span>
\n1010000\u00a0 1\u00a0 0;<\/span>
\n1001110\u00a0 1\u00a0 0;<\/span>
\n0001100\u00a0 1\u00a0 0;<\/span>
\n1010100\u00a0 1\u00a0 0;<\/span>
\n0000010\u00a0 1\u00a0 0;<\/span>
\n1000100\u00a0 1\u00a0 0;<\/span>
\n1000000\u00a0 1\u00a0 0;<\/span>
\n1001000\u00a0 1\u00a0 0;<\/span>
\n0100001\u00a0 1\u00a0 0;<\/span>
\n0011000\u00a0 1\u00a0 0;<\/span>
\n1001001\u00a0 1\u00a0 0;<\/span>
\n0100010\u00a0 1\u00a0 0;<\/span>
\n1001100\u00a0 1\u00a0 0;<\/span>
\n0000001\u00a0 1\u00a0 0;<\/span>
\n0010000\u00a0 1\u00a0 0;<\/span>
\n0010101\u00a0 1\u00a0 0;<\/span>
\n0000001\u00a0 1\u00a0 0;<\/span>
\n1011100\u00a0 1\u00a0 0;<\/span>
\n0101001\u00a0 1\u00a0 0;<\/span>
\n0000100\u00a0 1\u00a0 0;<\/span>
\n0110001\u00a0 1\u00a0 0;<\/span>
\n0010100\u00a0 1\u00a0 0;<\/span>
\n1011000\u00a0 1\u00a0 0;<\/span>
\n1000110\u00a0 1\u00a0 0;<\/span>
\n1100011\u00a0 1\u00a0 0;<\/span>
\n1000000\u00a0 1\u00a0 0;<\/span>
\n0001101\u00a0 1\u00a0 0;<\/span>
\n1010100\u00a0 1\u00a0 0;<\/span>
\n1100010\u00a0 1\u00a0 0;<\/span>
\n0010000\u00a0 1\u00a0 0;<\/span>
\n1111001\u00a0 1\u00a0 0;<\/span>
\n1101100\u00a0 1\u00a0 0;<\/span>
\n0001000\u00a0 1\u00a0 0;<\/span>
\n0111111\u00a0 1\u00a0 0;<\/span>
\n0011000\u00a0 1\u00a0 0;<\/span>
\n1100000\u00a0 1\u00a0 0;<\/span>
\n1001001\u00a0 1\u00a0 0;<\/span>
\n1001110\u00a0 1\u00a0 0;<\/span>
\n1001011\u00a0 1\u00a0 0;<\/span>
\n1101111\u00a0 1\u00a0 0;<\/span>
\n1000101\u00a0 0\u00a0 1;<\/span>
\n0001001\u00a0 0\u00a0 1;<\/span>
\n1000000\u00a0 0\u00a0 1;<\/span>
\n0010110\u00a0 0\u00a0 1;<\/span>
\n1111001\u00a0 0\u00a0 1;<\/span>
\n1001000\u00a0 0\u00a0 1;<\/span>
\n1001000\u00a0 0\u00a0 1;<\/span>
\n1001001\u00a0 0\u00a0 1;<\/span>
\n0001101\u00a0 0\u00a0 1;<\/span>
\n1111101\u00a0 0\u00a0 1;<\/span>
\n1101100\u00a0 0\u00a0 1;<\/span>
\n1011011\u00a0 0\u00a0 1;<\/span>
\n1010001\u00a0 0\u00a0 1;<\/span>
\n0111001\u00a0 0\u00a0 1;<\/span>
\n0001000\u00a0 0\u00a0 1;<\/span>
\n0001010\u00a0 0\u00a0 1;<\/span>
\n1001001\u00a0 0\u00a0 1;<\/span>
\n1011001\u00a0 0\u00a0 1;<\/span>
\n1010101\u00a0 0\u00a0 1;<\/span>
\n0001001\u00a0 0\u00a0 1;<\/span>
\n0010110\u00a0 0\u00a0 1;<\/span>
\n1000000\u00a0 0\u00a0 1;<\/span>
\n0101111\u00a0 0\u00a0 1;<\/span>
\n1001101\u00a0 0\u00a0 1;<\/span>
\n1001111\u00a0 0\u00a0 1;<\/span>
\n1000001\u00a0 0\u00a0 1;<\/span>
\n0110000\u00a0 0\u00a0 1;<\/span>
\n1000001\u00a0 0\u00a0 1;<\/span>
\n0100100\u00a0 0\u00a0 1;<\/span>
\n0000100\u00a0 0\u00a0 1;<\/span>
\n0101000\u00a0 0\u00a0 1;<\/span>
\n0111110\u00a0 0\u00a0 1;<\/span>
\n1100000\u00a0 0\u00a0 1;<\/span>
\n0001001\u00a0 0\u00a0 1;<\/span>
\n0001101\u00a0 0\u00a0 1;<\/span>
\n0001100\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n0100001\u00a0 0\u00a0 1;<\/span>
\n1001000\u00a0 0\u00a0 1;<\/span>
\n0001100\u00a0 0\u00a0 1;<\/span>
\n0001101\u00a0 0\u00a0 1;<\/span>
\n1000001\u00a0 0\u00a0 1;<\/span>
\n1100000\u00a0 0\u00a0 1;<\/span>
\n1010010\u00a0 0\u00a0 1;<\/span>
\n0000010\u00a0 0\u00a0 1;<\/span>
\n0101100\u00a0 0\u00a0 1;<\/span>
\n1000001\u00a0 0\u00a0 1;<\/span>
\n0001000\u00a0 0\u00a0 1;<\/span>
\n1011001\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n1101000\u00a0 0\u00a0 1;<\/span>
\n1011101\u00a0 0\u00a0 1;<\/span>
\n1010001\u00a0 0\u00a0 1;<\/span>
\n1010100\u00a0 0\u00a0 1;<\/span>
\n0011001\u00a0 0\u00a0 1;<\/span>
\n0010100\u00a0 0\u00a0 1;<\/span>
\n0001000\u00a0 0\u00a0 1;<\/span>
\n1000100\u00a0 0\u00a0 1;<\/span>
\n0001001\u00a0 0\u00a0 1;<\/span>
\n1000101\u00a0 0\u00a0 1;<\/span>
\n1100101\u00a0 0\u00a0 1;<\/span>
\n0110000\u00a0 0\u00a0 1;<\/span>
\n0001001\u00a0 0\u00a0 1;<\/span>
\n0001100\u00a0 0\u00a0 1;<\/span>
\n1010010\u00a0 0\u00a0 1;<\/span>
\n1110000\u00a0 0\u00a0 1;<\/span>
\n1100000\u00a0 0\u00a0 1;<\/span>
\n0001010\u00a0 0\u00a0 1;<\/span>
\n0010101\u00a0 0\u00a0 1;<\/span>
\n1000110\u00a0 0\u00a0 1;<\/span>
\n1001100\u00a0 0\u00a0 1;<\/span>
\n0101001\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n1011100\u00a0 0\u00a0 1;<\/span>
\n1110100\u00a0 0\u00a0 1;<\/span>
\n1010101\u00a0 0\u00a0 1;<\/span>
\n0001101\u00a0 0\u00a0 1;<\/span>
\n1010001\u00a0 0\u00a0 1;<\/span>
\n0000010\u00a0 0\u00a0 1;<\/span>
\n1000100\u00a0 0\u00a0 1;<\/span>
\n1100000\u00a0 0\u00a0 1;<\/span>
\n1011000\u00a0 0\u00a0 1;<\/span>
\n1001111\u00a0 0\u00a0 1;<\/span>
\n1101101\u00a0 0\u00a0 1;<\/span>
\n0101101\u00a0 0\u00a0 1;<\/span>
\n1000101\u00a0 0\u00a0 1;<\/span>
\n0000001\u00a0 0\u00a0 1;<\/span>
\n1000000\u00a0 0\u00a0 1;<\/span>
\n1110000\u00a0 0\u00a0 1;<\/span>
\n1001011\u00a0 0\u00a0 1;<\/span>
\n1010000\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n1001100\u00a0 0\u00a0 1;<\/span>
\n1011101\u00a0 0\u00a0 1;<\/span>
\n1000110\u00a0 0\u00a0 1;<\/span>
\n0111001\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n0010101\u00a0 0\u00a0 1;<\/span>
\n0110001\u00a0 0\u00a0 1;<\/span>
\n1011110\u00a0 0\u00a0 1;<\/span>
\n0011000\u00a0 0\u00a0 1;<\/span>
\n0001100\u00a0 0\u00a0 1;<\/span>
\n0001000\u00a0 0\u00a0 1;<\/span>
\n1001000\u00a0 0\u00a0 1;<\/span>
\n0001010\u00a0 0\u00a0 1;<\/span>
\n1010000\u00a0 0\u00a0 1;<\/span>
\n1000011\u00a0 0\u00a0 1;<\/span>
\n1010000\u00a0 0\u00a0 1;<\/span>
\n0101111\u00a0 0\u00a0 1;<\/span>
\n0011101\u00a0 0\u00a0 1;<\/span>
\n0110000\u00a0 0\u00a0 1;<\/span>
\n0011101\u00a0 0\u00a0 1;<\/span>
\n0011000\u00a0 0\u00a0 1;<\/span>
\n0110011\u00a0 0\u00a0 1;<\/span>
\n0100110\u00a0 0\u00a0 1;<\/span>
\n1101000\u00a0 0\u00a0 1;<\/span>
\n1000000\u00a0 0\u00a0 1;<\/span>
\n0100000\u00a0 0\u00a0 1;<\/span>
\n1101101\u00a0 0\u00a0 1;<\/span>
\n0011101\u00a0 0\u00a0 1;<\/span>
\n0011100\u00a0 0\u00a0 1;<\/span>
\n1001101\u00a0 0\u00a0 1;<\/span>
\n1001010\u00a0 0\u00a0 1;<\/span>
\n0011100\u00a0 0\u00a0 1;<\/span>
\n0001000\u00a0 0\u00a0 1;<\/span>
\n1101101\u00a0 0\u00a0 1;<\/span>
\n1011011\u00a0 0\u00a0 1;<\/span>
\n1000110\u00a0 0\u00a0 1;<\/span>
\n1000101\u00a0 0\u00a0 1;<\/span>
\n1111010\u00a0 0\u00a0 1;<\/span>
\n1000110\u00a0 0\u00a0 1;<\/span>
\n1111000\u00a0 0\u00a0 1;<\/span>
\n0001001\u00a0 0\u00a0 1;<\/span>
\n1000110\u00a0 0\u00a0 1;<\/span>
\n0011010\u00a0 0\u00a0 1;<\/span>
\n0100100\u00a0 0\u00a0 1;<\/span>
\n0000110\u00a0 0\u00a0 1;<\/span>
\n1010111\u00a0 0\u00a0 1;<\/span>
\n1001000\u00a0 0\u00a0 1;<\/span>
\n1011011\u00a0 0\u00a0 1;<\/span>
\n0000101\u00a0 0\u00a0 1;<\/span>
\n1011000\u00a0 0\u00a0 1;<\/span>
\n0000100\u00a0 0\u00a0 1;<\/span>
\n1001100\u00a0 0\u00a0 1;<\/span>
\n0000101\u00a0 0\u00a0 1;<\/span>
\n1000011\u00a0 0\u00a0 1;<\/span>
\n1101111\u00a0 0\u00a0 1;<\/span>
\n1000001\u00a0 0\u00a0 1;<\/span>
\n0001101\u00a0 0\u00a0 1;<\/span>
\n0010001\u00a0 0\u00a0 1;<\/span>
\n1100000\u00a0 0\u00a0 1;<\/span>
\n0011000\u00a0 0\u00a0 1;<\/span>
\n1011010\u00a0 0\u00a0 1;<\/span>
\n0010001\u00a0 0\u00a0 1;<\/span>
\n0100010\u00a0 0\u00a0 1;<\/span>
\n0001001\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n0011100\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n1100011\u00a0 0\u00a0 1;<\/span>
\n1010111\u00a0 0\u00a0 1;<\/span>
\n0000101\u00a0 0\u00a0 1;<\/span>
\n0011000\u00a0 0\u00a0 1;<\/span>
\n0101100\u00a0 0\u00a0 1;<\/span>
\n0010010\u00a0 0\u00a0 1;<\/span>
\n1110100\u00a0 0\u00a0 1;<\/span>
\n0001011\u00a0 0\u00a0 1;<\/span>
\n1101101\u00a0 0\u00a0 1;<\/span>
\n1100011\u00a0 0\u00a0 1;<\/span>
\n1110110\u00a0 0\u00a0 1;<\/span>
\n0011010\u00a0 0\u00a0 1;<\/span>
\n1100000\u00a0 0\u00a0 1;<\/span>
\n0110100\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n1111000\u00a0 0\u00a0 1;<\/span>
\n0101000\u00a0 0\u00a0 1;<\/span>
\n1111101\u00a0 0\u00a0 1;<\/span>
\n0010110\u00a0 0\u00a0 1;<\/span>
\n1000011\u00a0 0\u00a0 1;<\/span>
\n0101100\u00a0 0\u00a0 1;<\/span>
\n1001000\u00a0 0\u00a0 1;<\/span>
\n0001010\u00a0 0\u00a0 1;<\/span>
\n1010010\u00a0 0\u00a0 1;<\/span>
\n0010001\u00a0 0\u00a0 1;<\/span>
\n1011001\u00a0 0\u00a0 1;<\/span>
\n1011101\u00a0 0\u00a0 1;<\/span>
\n0100000\u00a0 0\u00a0 1;<\/span>
\n0010001\u00a0 0\u00a0 1;<\/span>
\n1101011\u00a0 0\u00a0 1;<\/span>
\n0001111\u00a0 0\u00a0 1;<\/span>
\n0010000\u00a0 0\u00a0 1;<\/span>
\n1000101\u00a0 0\u00a0 1;<\/span>
\n0100000\u00a0 0\u00a0 1;<\/span>
\n1010100\u00a0 0\u00a0 1;<\/span>
\n1001010\u00a0 0\u00a0 1;<\/span><\/p>\n

An example of nest survival data is given here<\/a>.<\/span>
\nThe encounter histories format for <\/span>Young Survival from Marked Adults<\/a><\/span> consists of 2-digit counts packed together to form the encounter history.<\/span>
\nThe <\/span>density<\/a><\/span> estimation data type requires that the number of radio locations on the grid and the total number of radio locations are also specified after the encounter history.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Contents – Index Encounter Histories File The Encounter Histories File is the file that contains the encounter histories, i.e., the raw data needed by Program MARK.\u00a0 This file must consist of records with a length of 240 characters or less, …<\/p>\n

Encounter Histories File<\/span> Read More »<\/a><\/p>\n","protected":false},"author":117,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-189","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/pages\/189","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/users\/117"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/comments?post=189"}],"version-history":[{"count":1,"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/pages\/189\/revisions"}],"predecessor-version":[{"id":190,"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/pages\/189\/revisions\/190"}],"wp:attachment":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/media?parent=189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}