Hello
I have plot looking like this:
http://www.nabble.com/file/p22453304/Index%2Bgraf.jpeg
Where each continues line corresponds to a period og days, and each break on
the line corresponds to a shift in the index level.
So what i thought about was, is it possible to make a model predicting the
index level depending on the length of period?
Here is a bit of my dataset:
> b[b$a.CHR_NR==97592,]
a.CHR_NR a.SALMO_INDEX a.x a.diffdato1 a.akkusum
1492 97592 20.6 62 34 34
1493 97592 18.7 62 14 48
1494 97592 18.1 62 14 62
1495 97592 19.8 16 16 16
1496 97592 18.1 139 7 7
1497 97592 18.1 139 10 17
1498 97592 22.2 139 3 20
1499 97592 22.2 139 11 31
1500 97592 23.2 139 7 38
1501 97592 23.2 139 23 61
1502 97592 26.2 139 7 68
1503 97592 26.2 139 30 98
1504 97592 15.2 139 10 108
1505 97592 15.2 139 7 115
1506 97592 10.8 139 4 119
1507 97592 10.8 139 20 139
1508 97592 15.2 62 6 6
1509 97592 15.2 62 28 34
1510 97592 12.3 62 4 38
1511 97592 12.3 62 24 62
1512 97592 14.2 22 10 10
1513 97592 14.2 22 12 22
1514 97592 31.6 140 32 32
1515 97592 35.1 140 24 56
1516 97592 30.0 140 39 95
1517 97592 10.9 140 11 106
1518 97592 11.8 140 34 140
1519 97592 10.1 329 28 28
1520 97592 10.6 329 30 58
1521 97592 57.0 329 30 88
1522 97592 47.3 329 27 115
1523 97592 30.4 329 28 143
1524 97592 19.3 329 21 164
1525 97592 28.8 329 39 203
1526 97592 20.4 329 23 226
1527 97592 35.1 329 26 252
1528 97592 21.3 329 32 284
1529 97592 16.6 329 45 329
Where a.CHR_NR is a particular herd (i have a lot of herds), a.SALMO_INDEX
is the index level (the responds variable), a.x is the length of period (the
lines on the plot), a.diffdato1 is the days in the period and a.akkusum is
the cumulated sum of a.diffdato1 making the breaks on the lines.
Hope you can help me
--
View this message in context:
http://www.nabble.com/Making-a-prediction-model-from-a-plot-tp22453304p22453304.html
Sent from the R help mailing list archive at Nabble.com.