Nothing
data/recdata.R
In rct3: Predict Fish Year-Class Strength from Survey Data
recdata <- data.frame(
yearclass = c(1990.0, 1991.0, 1992.0, 1993.0, 1994.0, 1995.0, 1996.0, 1997.0,
1998.0, 1999.0, 2000.0, 2001.0, 2002.0, 2003.0, 2004.0, 2005.0,
2006.0, 2007.0, 2008.0, 2009.0, 2010.0, 2011.0, 2012.0, 2013.0,
2014.0, 2015.0, 2016.0, 2017.0),
recruitment = c( 841.0, 293.0, 79.0, 94.0, 96.0, 64.0, 195.0, 81.0,
344.0, 352.0, 244.0, 218.0, 350.0, 162.0, 872.0, 1244.0,
1028.0, 306.0, 110.0, 292.0, 106.0, 330.0, 70.0, 175.0,
145.0, NA, NA, NA),
NT1 = c( NA, NA, NA, 593.5, 1392.8, 295.5, 1068.7, 239.2,
1186.4, 817.0, 1215.5, 1652.1, 3254.4, 705.1, 4400.9, 4879.2,
3654.3, 831.1, 550.0, 1586.4, 670.9, 1844.8, 335.7, 1129.0,
1071.7, 2202.8, 4676.6, 2689.6),
NT2 = c( NA, NA, 220.9, 182.1, 245.0, 93.5, 196.0, 79.8,
429.8, 450.0, 464.5, 481.3, 707.3, 369.6, 1296.8, 1679.9,
2072.2, 329.1, 81.4, 354.4, 137.3, 480.2, 119.8, 315.2,
509.2, 734.6, 1597.7, NA),
NT3 = c( NA, 315.2, 57.6, 55.5, 80.9, 21.2, 57.1, 24.1,
291.8, 313.8, 337.8, 174.9, 315.7, 78.8, 459.1, 1578.8,
1237.3, 96.1, 52.6, 321.6, 55.5, 370.6, 30.2, 152.7,
127.5, 312.6, NA, NA),
NAK1 = c(1890.0, 1135.0, 947.0, 887.8, 1198.2, 132.6, 508.9, 211.0,
653.4, 1063.0, 753.0, 1315.2, 2743.7, 529.0, 2276.5, 2091.1,
2015.7, 778.4, 443.9, 1559.4, 428.5, 1583.4, 292.7, 1703.7,
1521.9, 1260.3, 3263.8, 2077.1),
NAK2 = c( 868.0, 626.0, 188.0, 88.6, 94.5, 26.5, 151.0, 30.1,
404.8, 266.1, 267.9, 362.3, 466.5, 144.0, 624.8, 953.5,
1753.5, 209.1, 86.0, 288.3, 94.5, 407.2, 109.0, 224.4,
105.4, 323.2, 760.5, NA),
NAK3 = c( 563.0, 348.7, 41.5, 30.0, 57.3, 33.8, 83.7, 36.4,
233.5, 255.2, 203.7, 151.0, 221.3, 56.3, 209.3, 812.4,
883.7, 128.1, 54.2, 191.6, 67.3, 324.5, 23.6, 68.5,
79.9, 157.6, NA, NA),
RT1 = c( NA, 16.7, 16.4, 3.5, 9.1, 6.4, 6.0, 1.8,
10.7, 11.7, 15.1, 20.8, 33.2, 19.8, 50.0, 62.0,
53.4, 6.5, 5.7, 10.0, 7.7, 14.7, 6.9, 33.0,
12.0, 17.6, NA, 33.8),
RT2 = c( 42.9, 28.2, 4.8, 4.9, 7.2, 2.3, 4.6, 2.9,
28.9, 20.7, 14.9, 19.3, 32.8, 11.0, 79.2, 79.2,
83.9, 12.7, 2.9, 19.7, 3.5, 30.6, 6.0, 10.2,
8.3, NA, 86.3, NA),
RT3 = c( 128.6, 35.7, 5.8, 4.2, 5.7, 1.9, 11.5, 6.1,
26.2, 26.1, 18.9, 25.1, 20.6, 13.6, 122.7, 214.2,
232.7, 15.8, 4.3, 21.7, 4.3, 28.3, 2.2, 10.2,
NA, 24.2, NA, NA),
EC01 = c( NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 104.0, 155.0,
283.0, 114.0, 60.0, 169.0, 154.0, 213.0, 74.0,
163.0, 183.0, 343.0, 496.0, 931.0),
ECO2 = c( NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 189.0, 626.0, 2270.0,
988.0, 322.0, 136.0, 274.0, 105.0, 591.0, 156.0, 265.0,
320.0, 538.0, 936.0, NA),
ECO3 = c( NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 268.0, 114.0, 929.0, 1819.0,
1292.0, 144.0, 65.0, 114.0, 42.0, 223.0, 75.0,
145.0, 84.0, 189.0, NA, NA)
)
Try the rct3 package in your browser
Any scripts or data that you put into this service are public.
rct3 documentation built on Oct. 23, 2020, 8:18 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
recdata <- data.frame(
yearclass = c(1990.0, 1991.0, 1992.0, 1993.0, 1994.0, 1995.0, 1996.0, 1997.0,
1998.0, 1999.0, 2000.0, 2001.0, 2002.0, 2003.0, 2004.0, 2005.0,
2006.0, 2007.0, 2008.0, 2009.0, 2010.0, 2011.0, 2012.0, 2013.0,
2014.0, 2015.0, 2016.0, 2017.0),
recruitment = c( 841.0, 293.0, 79.0, 94.0, 96.0, 64.0, 195.0, 81.0,
344.0, 352.0, 244.0, 218.0, 350.0, 162.0, 872.0, 1244.0,
1028.0, 306.0, 110.0, 292.0, 106.0, 330.0, 70.0, 175.0,
145.0, NA, NA, NA),
NT1 = c( NA, NA, NA, 593.5, 1392.8, 295.5, 1068.7, 239.2,
1186.4, 817.0, 1215.5, 1652.1, 3254.4, 705.1, 4400.9, 4879.2,
3654.3, 831.1, 550.0, 1586.4, 670.9, 1844.8, 335.7, 1129.0,
1071.7, 2202.8, 4676.6, 2689.6),
NT2 = c( NA, NA, 220.9, 182.1, 245.0, 93.5, 196.0, 79.8,
429.8, 450.0, 464.5, 481.3, 707.3, 369.6, 1296.8, 1679.9,
2072.2, 329.1, 81.4, 354.4, 137.3, 480.2, 119.8, 315.2,
509.2, 734.6, 1597.7, NA),
NT3 = c( NA, 315.2, 57.6, 55.5, 80.9, 21.2, 57.1, 24.1,
291.8, 313.8, 337.8, 174.9, 315.7, 78.8, 459.1, 1578.8,
1237.3, 96.1, 52.6, 321.6, 55.5, 370.6, 30.2, 152.7,
127.5, 312.6, NA, NA),
NAK1 = c(1890.0, 1135.0, 947.0, 887.8, 1198.2, 132.6, 508.9, 211.0,
653.4, 1063.0, 753.0, 1315.2, 2743.7, 529.0, 2276.5, 2091.1,
2015.7, 778.4, 443.9, 1559.4, 428.5, 1583.4, 292.7, 1703.7,
1521.9, 1260.3, 3263.8, 2077.1),
NAK2 = c( 868.0, 626.0, 188.0, 88.6, 94.5, 26.5, 151.0, 30.1,
404.8, 266.1, 267.9, 362.3, 466.5, 144.0, 624.8, 953.5,
1753.5, 209.1, 86.0, 288.3, 94.5, 407.2, 109.0, 224.4,
105.4, 323.2, 760.5, NA),
NAK3 = c( 563.0, 348.7, 41.5, 30.0, 57.3, 33.8, 83.7, 36.4,
233.5, 255.2, 203.7, 151.0, 221.3, 56.3, 209.3, 812.4,
883.7, 128.1, 54.2, 191.6, 67.3, 324.5, 23.6, 68.5,
79.9, 157.6, NA, NA),
RT1 = c( NA, 16.7, 16.4, 3.5, 9.1, 6.4, 6.0, 1.8,
10.7, 11.7, 15.1, 20.8, 33.2, 19.8, 50.0, 62.0,
53.4, 6.5, 5.7, 10.0, 7.7, 14.7, 6.9, 33.0,
12.0, 17.6, NA, 33.8),
RT2 = c( 42.9, 28.2, 4.8, 4.9, 7.2, 2.3, 4.6, 2.9,
28.9, 20.7, 14.9, 19.3, 32.8, 11.0, 79.2, 79.2,
83.9, 12.7, 2.9, 19.7, 3.5, 30.6, 6.0, 10.2,
8.3, NA, 86.3, NA),
RT3 = c( 128.6, 35.7, 5.8, 4.2, 5.7, 1.9, 11.5, 6.1,
26.2, 26.1, 18.9, 25.1, 20.6, 13.6, 122.7, 214.2,
232.7, 15.8, 4.3, 21.7, 4.3, 28.3, 2.2, 10.2,
NA, 24.2, NA, NA),
EC01 = c( NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 104.0, 155.0,
283.0, 114.0, 60.0, 169.0, 154.0, 213.0, 74.0,
163.0, 183.0, 343.0, 496.0, 931.0),
ECO2 = c( NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 189.0, 626.0, 2270.0,
988.0, 322.0, 136.0, 274.0, 105.0, 591.0, 156.0, 265.0,
320.0, 538.0, 936.0, NA),
ECO3 = c( NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 268.0, 114.0, 929.0, 1819.0,
1292.0, 144.0, 65.0, 114.0, 42.0, 223.0, 75.0,
145.0, 84.0, 189.0, NA, NA)
)
Try the rct3 package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.