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jebyrnes/gamma_sample.R

Created April 10, 2017 19:19
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a data set for gamma use
Raw
gamma_sample.R
gamma_sample <- structure(list(Duration = c(44, 112, 60, 90, 1, 335, 1370, 425,
2920, 3, 3, 420, 10, 60, 4, 365, 330, 90, 335, 60, 60, 60, 0.083,
0.083, 24, 15, 5, 12, 956, 120, 90, 15, 10, 10, 54, 120, 16,
24, 13, 1800, 308, 365, 35, 1800, 14, 335, 14, 203, 22, 21, 570,
153, 1, 730, 122, 155, 183, 90, 21, 488, 60, 155, 40, 28, 105,
3, 365, 730, 65, 20, 165, 56, 365, 90, 21, 16, 365, 18, 12, 2,
84, 120, 840, 1, 15, 30, 180, 84, 56, 120, 25, 150, 150, 460,
810, 4, 4, 5, 910, 550, 2184, 3, 520, 730, 14, 28, 1095, 70,
365, 365, 120, 245, 1095, 56, 121, 130, 414, 58, 990, 680, 750,
240, 540, 450, 255, 730, 32, 365, 120, 1200, 450, 730, 730, 150,
670, 910, 550, 1440, 900, 108, 44, 730, 450, 1460, 1460, 4380,
270, 147, 168, 1095, 1500, 1500, 42, 1095, 38, 540, 150, 780,
1825, 1460, 600, 120, 365, 90, 98, 540, 180, 477, 365, 730, 43,
90, 90, 85, 395, 730, 550, 147, 28, 150, 94, 210, 120, 2190,
13, 75, 593, 2.3, 550, 930, 728, 190, 309, 61, 4, 7, 730, 427,
30, 42, 1, 20, 244, 396, 730, 0.166, 90, 400, 150, 365, 240,
300, 300, 365, 390, 420, 365, 15, 550, 730, 455, 390, 102, 21,
430, 730, 365, 300, 84, 90, 400, 10, 330, 19, 14, 23, 240, 730,
1300, 630, 60, 270, 270, 180, 100, 100, 330, 60, 8, 15, 15, 15,
3, 3, 270, 180, 70, 28, 56, 70, 70, 720, 180, 90, 120, 420, 14,
14, 14, 600, 39, 150, 210, 34, 4, 50, 150, 8, 90, 220, 120, 39,
7, 720, 85, 350, 570, 35, 119, 365, 140, 180, 140, 98, 42, 56,
213, 55, 30, 15, 518, 427, 12, 153, 3019, 365, 42, 180, 90, 70,
90), Year.block = structure(c(5L, 6L, 5L, 3L, 3L, 4L, 4L, 4L,
6L, 5L, 5L, 6L, 6L, 4L, 6L, 6L, 5L, 5L, 5L, 1L, 6L, 6L, 3L, 3L,
4L, 4L, 5L, 3L, 6L, 6L, 6L, 3L, 3L, 3L, 3L, 4L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 3L, 3L, 4L,
6L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 4L, 6L, 6L, 5L, 6L, 3L, 3L, 3L, 5L, 5L, 6L, 5L, 6L, 5L,
1L, 1L, 1L, 1L, 1L, 3L, 2L, 2L, 2L, 2L, 4L, 4L, 5L, 3L, 4L, 4L,
4L, 2L, 2L, 5L, 3L, 3L, 2L, 5L, 4L, 2L, 2L, 3L, 3L, 3L, 5L, 4L,
4L, 6L, 6L, 5L, 5L, 5L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 6L, 6L,
5L, 6L, 6L, 6L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
6L, 5L, 4L, 3L, 3L, 6L, 3L, 6L, 4L, 5L, 2L, 3L, 6L, 6L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 3L, 5L, 6L, 5L, 3L, 3L, 6L, 5L, 5L, 3L, 5L,
3L, 3L, 3L, 6L, 5L, 5L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 4L, 5L, 5L), .Label = c("1961-1964",
"1971-1974", "1981-1984", "1991-1994", "2001-2004", "2011-2014"
), class = "factor"), Year = c(2003L, 2011L, 2001L, 1984L, 1981L,
1993L, 1993L, 1993L, 2012L, 2002L, 2002L, 2013L, 2012L, 1992L,
2013L, 2011L, 2004L, 2001L, 2001L, 1961L, 2013L, 2013L, 1984L,
1984L, 1994L, 1994L, 2001L, 1983L, 2014L, 2013L, 2014L, 1981L,
1981L, 1981L, 1981L, 1994L, 2001L, 2001L, 2001L, 2002L, 2002L,
2002L, 2002L, 2002L, 2003L, 2004L, 2004L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2013L, 2013L, 2013L, 2013L, 2012L, 2012L, 2012L, 2011L, 2011L,
2014L, 1983L, 1983L, 1993L, 2011L, 2013L, 2002L, 2002L, 2002L,
2002L, 2002L, 2002L, 2002L, 2003L, 2003L, 2014L, 2013L, 2012L,
2012L, 2012L, 2013L, 2013L, 1992L, 2012L, 2012L, 2004L, 2012L,
1981L, 1981L, 1981L, 2002L, 2004L, 2014L, 2004L, 2011L, 2004L,
1961L, 1961L, 1961L, 1961L, 1961L, 1984L, 1971L, 1971L, 1971L,
1973L, 1991L, 1991L, 2001L, 1983L, 1991L, 1991L, 1991L, 1973L,
1973L, 2001L, 1984L, 1984L, 1974L, 2001L, 1992L, 1974L, 1972L,
1981L, 1981L, 1981L, 2004L, 1994L, 1994L, 2011L, 2011L, 2001L,
2001L, 2001L, 1971L, 1984L, 1984L, 1984L, 1971L, 1981L, 1981L,
1984L, 2013L, 2013L, 2004L, 2014L, 2013L, 2013L, 1992L, 1992L,
1993L, 1993L, 1983L, 1983L, 1983L, 1984L, 1991L, 1993L, 1993L,
1993L, 1993L, 1994L, 1994L, 1994L, 1994L, 2001L, 2001L, 2002L,
2002L, 2002L, 2002L, 2003L, 2003L, 2003L, 2003L, 2003L, 2003L,
2003L, 2003L, 2004L, 2004L, 2004L, 2014L, 2014L, 2014L, 2013L,
2013L, 2013L, 2012L, 2012L, 2012L, 2012L, 2011L, 2011L, 2011L,
2011L, 2014L, 1983L, 1991L, 1991L, 1991L, 1993L, 1993L, 1993L,
1993L, 1993L, 1994L, 1994L, 2014L, 2001L, 1993L, 1981L, 1981L,
2012L, 1984L, 2013L, 1994L, 2002L, 1974L, 1983L, 2013L, 2011L,
2003L, 2003L, 2002L, 2002L, 2002L, 2002L, 2002L, 1981L, 2003L,
2014L, 2001L, 1984L, 1984L, 2012L, 2004L, 2004L, 1981L, 2002L,
1984L, 1984L, 1984L, 2011L, 2004L, 2004L, 1981L, 1983L, 1991L,
1991L, 1991L, 1991L, 1991L, 1993L, 1993L, 1993L, 1993L, 1993L,
1994L, 1994L, 1994L, 2001L, 2001L, 2001L, 2001L, 2001L, 2002L,
2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2003L, 2003L, 2003L,
2004L, 2004L, 2004L, 2004L, 2004L, 2004L, 2004L, 2004L, 2014L,
2014L, 2014L, 2014L, 2013L, 2013L, 2013L, 2013L, 2012L, 2012L,
2012L, 2012L, 2011L, 2011L, 2014L, 1991L, 1994L, 2003L, 2003L
), Year.c = c(4.13183279742771, 12.1318327974277, 2.13183279742771,
-14.8681672025723, -17.8681672025723, -5.86816720257229, -5.86816720257229,
-5.86816720257229, 13.1318327974277, 3.13183279742771, 3.13183279742771,
14.1318327974277, 13.1318327974277, -6.86816720257229, 14.1318327974277,
12.1318327974277, 5.13183279742771, 2.13183279742771, 2.13183279742771,
-37.8681672025723, 14.1318327974277, 14.1318327974277, -14.8681672025723,
-14.8681672025723, -4.86816720257229, -4.86816720257229, 2.13183279742771,
-15.8681672025723, 15.1318327974277, 14.1318327974277, 15.1318327974277,
-17.8681672025723, -17.8681672025723, -17.8681672025723, -17.8681672025723,
-4.86816720257229, 2.13183279742771, 2.13183279742771, 2.13183279742771,
3.13183279742771, 3.13183279742771, 3.13183279742771, 3.13183279742771,
3.13183279742771, 4.13183279742771, 5.13183279742771, 5.13183279742771,
15.1318327974277, 15.1318327974277, 15.1318327974277, 15.1318327974277,
15.1318327974277, 15.1318327974277, 15.1318327974277, 15.1318327974277,
15.1318327974277, 15.1318327974277, 15.1318327974277, 15.1318327974277,
14.1318327974277, 14.1318327974277, 14.1318327974277, 14.1318327974277,
13.1318327974277, 13.1318327974277, 13.1318327974277, 12.1318327974277,
12.1318327974277, 15.1318327974277, -15.8681672025723, -15.8681672025723,
-5.86816720257229, 12.1318327974277, 14.1318327974277, 3.13183279742771,
3.13183279742771, 3.13183279742771, 3.13183279742771, 3.13183279742771,
3.13183279742771, 3.13183279742771, 4.13183279742771, 4.13183279742771,
15.1318327974277, 14.1318327974277, 13.1318327974277, 13.1318327974277,
13.1318327974277, 14.1318327974277, 14.1318327974277, -6.86816720257229,
13.1318327974277, 13.1318327974277, 5.13183279742771, 13.1318327974277,
-17.8681672025723, -17.8681672025723, -17.8681672025723, 3.13183279742771,
5.13183279742771, 15.1318327974277, 5.13183279742771, 12.1318327974277,
5.13183279742771, -37.8681672025723, -37.8681672025723, -37.8681672025723,
-37.8681672025723, -37.8681672025723, -14.8681672025723, -27.8681672025723,
-27.8681672025723, -27.8681672025723, -25.8681672025723, -7.86816720257229,
-7.86816720257229, 2.13183279742771, -15.8681672025723, -7.86816720257229,
-7.86816720257229, -7.86816720257229, -25.8681672025723, -25.8681672025723,
2.13183279742771, -14.8681672025723, -14.8681672025723, -24.8681672025723,
2.13183279742771, -6.86816720257229, -24.8681672025723, -26.8681672025723,
-17.8681672025723, -17.8681672025723, -17.8681672025723, 5.13183279742771,
-4.86816720257229, -4.86816720257229, 12.1318327974277, 12.1318327974277,
2.13183279742771, 2.13183279742771, 2.13183279742771, -27.8681672025723,
-14.8681672025723, -14.8681672025723, -14.8681672025723, -27.8681672025723,
-17.8681672025723, -17.8681672025723, -14.8681672025723, 14.1318327974277,
14.1318327974277, 5.13183279742771, 15.1318327974277, 14.1318327974277,
14.1318327974277, -6.86816720257229, -6.86816720257229, -5.86816720257229,
-5.86816720257229, -15.8681672025723, -15.8681672025723, -15.8681672025723,
-14.8681672025723, -7.86816720257229, -5.86816720257229, -5.86816720257229,
-5.86816720257229, -5.86816720257229, -4.86816720257229, -4.86816720257229,
-4.86816720257229, -4.86816720257229, 2.13183279742771, 2.13183279742771,
3.13183279742771, 3.13183279742771, 3.13183279742771, 3.13183279742771,
4.13183279742771, 4.13183279742771, 4.13183279742771, 4.13183279742771,
4.13183279742771, 4.13183279742771, 4.13183279742771, 4.13183279742771,
5.13183279742771, 5.13183279742771, 5.13183279742771, 15.1318327974277,
15.1318327974277, 15.1318327974277, 14.1318327974277, 14.1318327974277,
14.1318327974277, 13.1318327974277, 13.1318327974277, 13.1318327974277,
13.1318327974277, 12.1318327974277, 12.1318327974277, 12.1318327974277,
12.1318327974277, 15.1318327974277, -15.8681672025723, -7.86816720257229,
-7.86816720257229, -7.86816720257229, -5.86816720257229, -5.86816720257229,
-5.86816720257229, -5.86816720257229, -5.86816720257229, -4.86816720257229,
-4.86816720257229, 15.1318327974277, 2.13183279742771, -5.86816720257229,
-17.8681672025723, -17.8681672025723, 13.1318327974277, -14.8681672025723,
14.1318327974277, -4.86816720257229, 3.13183279742771, -24.8681672025723,
-15.8681672025723, 14.1318327974277, 12.1318327974277, 4.13183279742771,
4.13183279742771, 3.13183279742771, 3.13183279742771, 3.13183279742771,
3.13183279742771, 3.13183279742771, -17.8681672025723, 4.13183279742771,
15.1318327974277, 2.13183279742771, -14.8681672025723, -14.8681672025723,
13.1318327974277, 5.13183279742771, 5.13183279742771, -17.8681672025723,
3.13183279742771, -14.8681672025723, -14.8681672025723, -14.8681672025723,
12.1318327974277, 5.13183279742771, 5.13183279742771, -17.8681672025723,
-15.8681672025723, -7.86816720257229, -7.86816720257229, -7.86816720257229,
-7.86816720257229, -7.86816720257229, -5.86816720257229, -5.86816720257229,
-5.86816720257229, -5.86816720257229, -5.86816720257229, -4.86816720257229,
-4.86816720257229, -4.86816720257229, 2.13183279742771, 2.13183279742771,
2.13183279742771, 2.13183279742771, 2.13183279742771, 3.13183279742771,
3.13183279742771, 3.13183279742771, 3.13183279742771, 3.13183279742771,
3.13183279742771, 3.13183279742771, 4.13183279742771, 4.13183279742771,
4.13183279742771, 5.13183279742771, 5.13183279742771, 5.13183279742771,
5.13183279742771, 5.13183279742771, 5.13183279742771, 5.13183279742771,
5.13183279742771, 15.1318327974277, 15.1318327974277, 15.1318327974277,
15.1318327974277, 14.1318327974277, 14.1318327974277, 14.1318327974277,
14.1318327974277, 13.1318327974277, 13.1318327974277, 13.1318327974277,
13.1318327974277, 12.1318327974277, 12.1318327974277, 15.1318327974277,
-7.86816720257229, -4.86816720257229, 4.13183279742771, 4.13183279742771
)), .Names = c("Duration", "Year.block", "Year", "Year.c"), row.names = c(NA,
-311L), class = "data.frame")
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