Dear R help,
I have some readings in three dimensions (x, y, z) and an amplitude for
each. I'd like to visualize the data using ggplot, using tile plots, as I
have some additional point data I would like to eventually overlay on the
tile plots.
I would like to subset the data by sections, slices if you will, in the z
dimension, and plot the data for that slice.
I can do all of this, but am having a largish hangup - ggplot automatically
keys the fill gradient to the data which is assigned the fill aesthetic.
This is a problem for me because I have different ranges of amplitudes for
different depth slices. So, I'm seeing the same color assigned to a
different amplitude for each of my plots.
I would like to assign the colors in the fill gradient to a range that I
specify, not the range that is in the subset of the data, but I don't know
how.
Some example data and code attached.
Thanks
Ben Caldwell
---------------------------------------------
require(ggplot2)
setwd("")
input<-read.table("examplefile.txt", header=TRUE)
str(input)
head(input)
# X x y z depth amplitude
# 1 1 0.0125 0.0125 -0.025 1 623
# 2 2 0.0125 0.0375 -0.025 1 654
# 3 3 0.0125 0.0625 -0.025 1 685
# 4 4 0.0125 0.0875 -0.025 1 1598
# 5 5 0.0125 0.1125 -0.025 1 2200
# 6 6 0.0125 0.1375 -0.025 1 1917
depths<- with(input, sort(unique(depth)))
depths
# [1] 1 2 3 4
mysubset<-function(input, column.name, expression.to.match){
output <- input[column.name==expression.to.match,]
return(output)
}
sub1 <- mysubset(input, input$depth, depths[1])
sub2 <- mysubset(input, input$depth, depths[2])
sub3 <- mysubset(input, input$depth, depths[3])
sub4 <- mysubset(input, input$depth, depths[4])
p <- ggplot(sub1, aes(x=x,y=y,fill=amplitude))
p + geom_tile() + scale_fill_gradientn("Custom
Colours",colours=c("purple","blue","green","yellow","orange","red"))
# custom colours legend range and assigned colors is different than in the
next plot
p <- ggplot(sub3, aes(x=x,y=y,fill=amplitude))
p + geom_tile() + scale_fill_gradientn("Custom
Colours",colours=c("purple","blue","green","yellow","orange","red"))
-------------- next part --------------
X x y z depth amplitude
1 1 0.0125 0.0125 -0.025 1 623
2 2 0.0125 0.0375 -0.025 1 654
3 3 0.0125 0.0625 -0.025 1 685
4 4 0.0125 0.0875 -0.025 1 1598
5 5 0.0125 0.1125 -0.025 1 2200
6 6 0.0125 0.1375 -0.025 1 1917
7 7 0.0125 0.1625 -0.025 1 1773
8 8 0.0125 0.1875 -0.025 1 996
9 9 0.0125 0.2125 -0.025 1 925
10 10 0.0125 0.2375 -0.025 1 1934
11 11 0.0125 0.2625 -0.025 1 2454
12 12 0.0125 0.2875 -0.025 1 1651
13 13 0.0125 0.3125 -0.025 1 1741
14 14 0.0125 0.3375 -0.025 1 2920
15 15 0.0125 0.3625 -0.025 1 3408
16 16 0.0125 0.3875 -0.025 1 4186
17 17 0.0125 0.4125 -0.025 1 6326
18 18 0.0125 0.4375 -0.025 1 8374
19 19 0.0125 0.4625 -0.025 1 9355
20 20 0.0125 0.4875 -0.025 1 8879
21 21 0.0125 0.5125 -0.025 1 7570
22 22 0.0125 0.5375 -0.025 1 5920
23 23 0.0125 0.5625 -0.025 1 3967
24 24 0.0125 0.5875 -0.025 1 3444
25 25 0.0125 0.6125 -0.025 1 3551
26 26 0.0125 0.6375 -0.025 1 3657
27 27 0.0125 0.6625 -0.025 1 3764
28 28 0.0125 0.6875 -0.025 1 3871
29 29 0.0125 0.7125 -0.025 1 3978
30 30 0.0125 0.7375 -0.025 1 4085
31 31 0.0125 0.7625 -0.025 1 4192
32 32 0.0125 0.7875 -0.025 1 4269
33 33 0.0125 0.8125 -0.025 1 4346
34 34 0.0125 0.8375 -0.025 1 4423
35 35 0.0125 0.8625 -0.025 1 4500
36 36 0.0125 0.8875 -0.025 1 4577
37 37 0.0125 0.9125 -0.025 1 4655
38 38 0.0125 0.9375 -0.025 1 4732
39 39 0.0125 0.9625 -0.025 1 4809
40 40 0.0125 0.9875 -0.025 1 4886
41 41 0.0125 1.0125 -0.025 1 4964
42 42 0.0125 1.0375 -0.025 1 4595
43 43 0.0125 1.0625 -0.025 1 4226
44 44 0.0125 1.0875 -0.025 1 3857
45 45 0.0125 1.1125 -0.025 1 3488
46 46 0.0125 1.1375 -0.025 1 3139
47 47 0.0125 1.1625 -0.025 1 2750
48 48 0.0125 1.1875 -0.025 1 2381
49 49 0.0125 1.2125 -0.025 1 2012
50 50 0.0125 1.2375 -0.025 1 1643
51 51 0.0125 1.2625 -0.025 1 1275
52 52 0.0125 1.2875 -0.025 1 1425
53 53 0.0125 1.3125 -0.025 1 2410
54 54 0.0125 1.3375 -0.025 1 3074
55 55 0.0125 1.3625 -0.025 1 2885
56 56 0.0125 1.3875 -0.025 1 2304
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1601 1601 0.2875 1.5125 -0.025 4 2012
1602 1602 0.2875 1.5375 -0.025 4 2216
1603 1603 0.2875 1.5625 -0.025 4 3128
1604 1604 0.2875 1.5875 -0.025 4 3733
1605 1605 0.2875 1.6125 -0.025 4 3398
1606 1606 0.2875 1.6375 -0.025 4 2128
1607 1607 0.2875 1.6625 -0.025 4 1883
1608 1608 0.2875 1.6875 -0.025 4 1922
1609 1609 0.2875 1.7125 -0.025 4 2106
1610 1610 0.2875 1.7375 -0.025 4 2490
1611 1611 0.2875 1.7625 -0.025 4 3570
1612 1612 0.2875 1.7875 -0.025 4 5257
1613 1613 0.2875 1.8125 -0.025 4 6843
1614 1614 0.2875 1.8375 -0.025 4 8577
1615 1615 0.2875 1.8625 -0.025 4 10756
1616 1616 0.2875 1.8875 -0.025 4 11954
1617 1617 0.2875 1.9125 -0.025 4 11300
1618 1618 0.2875 1.9375 -0.025 4 9803
1619 1619 0.2875 1.9625 -0.025 4 8902
1620 1620 0.2875 1.9875 -0.025 4 8692
1621 1621 0.2875 2.0125 -0.025 4 8438
1622 1622 0.2875 2.0375 -0.025 4 7980
1623 1623 0.2875 2.0625 -0.025 4 7574
1624 1624 0.2875 2.0875 -0.025 4 7548
1625 1625 0.2875 2.1125 -0.025 4 7747
1626 1626 0.2875 2.1375 -0.025 4 7928
1627 1627 0.2875 2.1625 -0.025 4 8601
1628 1628 0.2875 2.1875 -0.025 4 9957
1629 1629 0.2875 2.2125 -0.025 4 11264
1630 1630 0.2875 2.2375 -0.025 4 12426
1631 1631 0.2875 2.2625 -0.025 4 13440
1632 1632 0.2875 2.2875 -0.025 4 13669
1633 1633 0.2875 2.3125 -0.025 4 13233
1634 1634 0.2875 2.3375 -0.025 4 12813
1635 1635 0.2875 2.3625 -0.025 4 12596
1636 1636 0.2875 2.3875 -0.025 4 11917
1637 1637 0.2875 2.4125 -0.025 4 10949
1638 1638 0.2875 2.4375 -0.025 4 10400
1639 1639 0.2875 2.4625 -0.025 4 9927
1640 1640 0.2875 2.4875 -0.025 4 9397
1641 1641 0.2875 2.5125 -0.025 4 8973
1642 1642 0.2875 2.5375 -0.025 4 8712
1643 1643 0.2875 2.5625 -0.025 4 9173
1644 1644 0.2875 2.5875 -0.025 4 10350
1645 1645 0.2875 2.6125 -0.025 4 11039
1646 1646 0.2875 2.6375 -0.025 4 10470
1647 1647 0.2875 2.6625 -0.025 4 9642
1648 1648 0.2875 2.6875 -0.025 4 9300
1649 1649 0.2875 2.7125 -0.025 4 9524
1650 1650 0.2875 2.7375 -0.025 4 10672
1651 1651 0.2875 2.7625 -0.025 4 12419
1652 1652 0.2875 2.7875 -0.025 4 13273
1653 1653 0.2875 2.8125 -0.025 4 12487
1654 1654 0.2875 2.8375 -0.025 4 11376
1655 1655 0.2875 2.8625 -0.025 4 11005
1656 1656 0.2875 2.8875 -0.025 4 11008
1657 1657 0.2875 2.9125 -0.025 4 10206
1658 1658 0.2875 2.9375 -0.025 4 8753
1659 1659 0.2875 2.9625 -0.025 4 7774
1660 1660 0.2875 2.9875 -0.025 4 6950
1661 1661 0.2875 3.0125 -0.025 4 6005
1662 1662 0.2875 3.0375 -0.025 4 5967
1663 1663 0.2875 3.0625 -0.025 4 5932
1664 1664 0.2875 3.0875 -0.025 4 4976
1665 1665 0.2875 3.1125 -0.025 4 4561
1666 1666 0.2875 3.1375 -0.025 4 3995
1667 1667 0.2875 3.1625 -0.025 4 2543
1668 1668 0.2875 3.1875 -0.025 4 1885
1669 1669 0.2875 3.2125 -0.025 4 1795
1670 1670 0.2875 3.2375 -0.025 4 1986
1671 1671 0.2875 3.2625 -0.025 4 2229
1672 1672 0.2875 3.2875 -0.025 4 2221
1673 1673 0.2875 3.3125 -0.025 4 2188
1674 1674 0.2875 3.3375 -0.025 4 1917
1675 1675 0.2875 3.3625 -0.025 4 2560
1676 1676 0.2875 3.3875 -0.025 4 3914
1677 1677 0.2875 3.4125 -0.025 4 4386
1678 1678 0.2875 3.4375 -0.025 4 3168
1679 1679 0.2875 3.4625 -0.025 4 2905
1680 1680 0.2875 3.4875 -0.025 4 3157
1681 1681 0.3125 0.0125 -0.025 4 4899
1682 1682 0.3125 0.0375 -0.025 4 4869
1683 1683 0.3125 0.0625 -0.025 4 4840
1684 1684 0.3125 0.0875 -0.025 4 5709
1685 1685 0.3125 0.1125 -0.025 4 6386
1686 1686 0.3125 0.1375 -0.025 4 5109
1687 1687 0.3125 0.1625 -0.025 4 4723
1688 1688 0.3125 0.1875 -0.025 4 4694
1689 1689 0.3125 0.2125 -0.025 4 4665
1690 1690 0.3125 0.2375 -0.025 4 5394
1691 1691 0.3125 0.2625 -0.025 4 6456
1692 1692 0.3125 0.2875 -0.025 4 7350
1693 1693 0.3125 0.3125 -0.025 4 8024
1694 1694 0.3125 0.3375 -0.025 4 8295
1695 1695 0.3125 0.3625 -0.025 4 9272
1696 1696 0.3125 0.3875 -0.025 4 10909
1697 1697 0.3125 0.4125 -0.025 4 12414
1698 1698 0.3125 0.4375 -0.025 4 13020
1699 1699 0.3125 0.4625 -0.025 4 12254
1700 1700 0.3125 0.4875 -0.025 4 10750
1701 1701 0.3125 0.5125 -0.025 4 9691
1702 1702 0.3125 0.5375 -0.025 4 9420
1703 1703 0.3125 0.5625 -0.025 4 9490
1704 1704 0.3125 0.5875 -0.025 4 9399
1705 1705 0.3125 0.6125 -0.025 4 8907
1706 1706 0.3125 0.6375 -0.025 4 8171
1707 1707 0.3125 0.6625 -0.025 4 7694
1708 1708 0.3125 0.6875 -0.025 4 7343
1709 1709 0.3125 0.7125 -0.025 4 7008
1710 1710 0.3125 0.7375 -0.025 4 7243
1711 1711 0.3125 0.7625 -0.025 4 7944
1712 1712 0.3125 0.7875 -0.025 4 8302
1713 1713 0.3125 0.8125 -0.025 4 8602
1714 1714 0.3125 0.8375 -0.025 4 8669
1715 1715 0.3125 0.8625 -0.025 4 7542
1716 1716 0.3125 0.8875 -0.025 4 5502
1717 1717 0.3125 0.9125 -0.025 4 3632
1718 1718 0.3125 0.9375 -0.025 4 2895
1719 1719 0.3125 0.9625 -0.025 4 3515
1720 1720 0.3125 0.9875 -0.025 4 4666
1721 1721 0.3125 1.0125 -0.025 4 6145
1722 1722 0.3125 1.0375 -0.025 4 7472
1723 1723 0.3125 1.0625 -0.025 4 8419
1724 1724 0.3125 1.0875 -0.025 4 8641
1725 1725 0.3125 1.1125 -0.025 4 8304
1726 1726 0.3125 1.1375 -0.025 4 8272
1727 1727 0.3125 1.1625 -0.025 4 8545
1728 1728 0.3125 1.1875 -0.025 4 8720
1729 1729 0.3125 1.2125 -0.025 4 8547
1730 1730 0.3125 1.2375 -0.025 4 8186
1731 1731 0.3125 1.2625 -0.025 4 7935
1732 1732 0.3125 1.2875 -0.025 4 7754
1733 1733 0.3125 1.3125 -0.025 4 7731
1734 1734 0.3125 1.3375 -0.025 4 7261
1735 1735 0.3125 1.3625 -0.025 4 6095
1736 1736 0.3125 1.3875 -0.025 4 4627
1737 1737 0.3125 1.4125 -0.025 4 3738
1738 1738 0.3125 1.4375 -0.025 4 3571
1739 1739 0.3125 1.4625 -0.025 4 3436
1740 1740 0.3125 1.4875 -0.025 4 3423
1741 1741 0.3125 1.5125 -0.025 4 3451
1742 1742 0.3125 1.5375 -0.025 4 3609
1743 1743 0.3125 1.5625 -0.025 4 4277
1744 1744 0.3125 1.5875 -0.025 4 4515
1745 1745 0.3125 1.6125 -0.025 4 3873
1746 1746 0.3125 1.6375 -0.025 4 2570
1747 1747 0.3125 1.6625 -0.025 4 2258
1748 1748 0.3125 1.6875 -0.025 4 2429
1749 1749 0.3125 1.7125 -0.025 4 2738
1750 1750 0.3125 1.7375 -0.025 4 3145
1751 1751 0.3125 1.7625 -0.025 4 3989
1752 1752 0.3125 1.7875 -0.025 4 5350
1753 1753 0.3125 1.8125 -0.025 4 6711
1754 1754 0.3125 1.8375 -0.025 4 8398
1755 1755 0.3125 1.8625 -0.025 4 10636
1756 1756 0.3125 1.8875 -0.025 4 12009
1757 1757 0.3125 1.9125 -0.025 4 11579
1758 1758 0.3125 1.9375 -0.025 4 10213
1759 1759 0.3125 1.9625 -0.025 4 9335
1760 1760 0.3125 1.9875 -0.025 4 9124
1761 1761 0.3125 2.0125 -0.025 4 8920
1762 1762 0.3125 2.0375 -0.025 4 8541
1763 1763 0.3125 2.0625 -0.025 4 8209
1764 1764 0.3125 2.0875 -0.025 4 8224
1765 1765 0.3125 2.1125 -0.025 4 8426
1766 1766 0.3125 2.1375 -0.025 4 8618
1767 1767 0.3125 2.1625 -0.025 4 9250
1768 1768 0.3125 2.1875 -0.025 4 10452
1769 1769 0.3125 2.2125 -0.025 4 11546
1770 1770 0.3125 2.2375 -0.025 4 12535
1771 1771 0.3125 2.2625 -0.025 4 13509
1772 1772 0.3125 2.2875 -0.025 4 13824
1773 1773 0.3125 2.3125 -0.025 4 13474
1774 1774 0.3125 2.3375 -0.025 4 13039
1775 1775 0.3125 2.3625 -0.025 4 12695
1776 1776 0.3125 2.3875 -0.025 4 11924
1777 1777 0.3125 2.4125 -0.025 4 10993
1778 1778 0.3125 2.4375 -0.025 4 10537
1779 1779 0.3125 2.4625 -0.025 4 10178
1780 1780 0.3125 2.4875 -0.025 4 9789
1781 1781 0.3125 2.5125 -0.025 4 9505
1782 1782 0.3125 2.5375 -0.025 4 9349
1783 1783 0.3125 2.5625 -0.025 4 9821
1784 1784 0.3125 2.5875 -0.025 4 10901
1785 1785 0.3125 2.6125 -0.025 4 11474
1786 1786 0.3125 2.6375 -0.025 4 10902
1787 1787 0.3125 2.6625 -0.025 4 10149
1788 1788 0.3125 2.6875 -0.025 4 9882
1789 1789 0.3125 2.7125 -0.025 4 10107
1790 1790 0.3125 2.7375 -0.025 4 11118
1791 1791 0.3125 2.7625 -0.025 4 12657
1792 1792 0.3125 2.7875 -0.025 4 13388
1793 1793 0.3125 2.8125 -0.025 4 12684
1794 1794 0.3125 2.8375 -0.025 4 11790
1795 1795 0.3125 2.8625 -0.025 4 11561
1796 1796 0.3125 2.8875 -0.025 4 11547
1797 1797 0.3125 2.9125 -0.025 4 10773
1798 1798 0.3125 2.9375 -0.025 4 9450
1799 1799 0.3125 2.9625 -0.025 4 8556
1800 1800 0.3125 2.9875 -0.025 4 7788
1801 1801 0.3125 3.0125 -0.025 4 6925
1802 1802 0.3125 3.0375 -0.025 4 6926
1803 1803 0.3125 3.0625 -0.025 4 6935
1804 1804 0.3125 3.0875 -0.025 4 6058
1805 1805 0.3125 3.1125 -0.025 4 5632
1806 1806 0.3125 3.1375 -0.025 4 5095
1807 1807 0.3125 3.1625 -0.025 4 3776
1808 1808 0.3125 3.1875 -0.025 4 3168
1809 1809 0.3125 3.2125 -0.025 4 3073
1810 1810 0.3125 3.2375 -0.025 4 3236
1811 1811 0.3125 3.2625 -0.025 4 3511
1812 1812 0.3125 3.2875 -0.025 4 3549
1813 1813 0.3125 3.3125 -0.025 4 3517
1814 1814 0.3125 3.3375 -0.025 4 3259
1815 1815 0.3125 3.3625 -0.025 4 3764
1816 1816 0.3125 3.3875 -0.025 4 4908
1817 1817 0.3125 3.4125 -0.025 4 5368
1818 1818 0.3125 3.4375 -0.025 4 4276
1819 1819 0.3125 3.4625 -0.025 4 3714
1820 1820 0.3125 3.4875 -0.025 4 4081
1821 1821 0.3375 0.0125 -0.025 4 4793
1822 1822 0.3375 0.0375 -0.025 4 4665
1823 1823 0.3375 0.0625 -0.025 4 4538
1824 1824 0.3375 0.0875 -0.025 4 5757
1825 1825 0.3375 0.1125 -0.025 4 6524
1826 1826 0.3375 0.1375 -0.025 4 5313
1827 1827 0.3375 0.1625 -0.025 4 4028
1828 1828 0.3375 0.1875 -0.025 4 3901
1829 1829 0.3375 0.2125 -0.025 4 4499
1830 1830 0.3375 0.2375 -0.025 4 6340
1831 1831 0.3375 0.2625 -0.025 4 7328
1832 1832 0.3375 0.2875 -0.025 4 8163
1833 1833 0.3375 0.3125 -0.025 4 8811
1834 1834 0.3375 0.3375 -0.025 4 9110
1835 1835 0.3375 0.3625 -0.025 4 9941
1836 1836 0.3375 0.3875 -0.025 4 11271
1837 1837 0.3375 0.4125 -0.025 4 12489
1838 1838 0.3375 0.4375 -0.025 4 12948
1839 1839 0.3375 0.4625 -0.025 4 12287
1840 1840 0.3375 0.4875 -0.025 4 11048
1841 1841 0.3375 0.5125 -0.025 4 10172
1842 1842 0.3375 0.5375 -0.025 4 9958
1843 1843 0.3375 0.5625 -0.025 4 10093
1844 1844 0.3375 0.5875 -0.025 4 10071
1845 1845 0.3375 0.6125 -0.025 4 9605
1846 1846 0.3375 0.6375 -0.025 4 8961
1847 1847 0.3375 0.6625 -0.025 4 8586
1848 1848 0.3375 0.6875 -0.025 4 8230
1849 1849 0.3375 0.7125 -0.025 4 7842
1850 1850 0.3375 0.7375 -0.025 4 8026
1851 1851 0.3375 0.7625 -0.025 4 8706
1852 1852 0.3375 0.7875 -0.025 4 9024
1853 1853 0.3375 0.8125 -0.025 4 9165
1854 1854 0.3375 0.8375 -0.025 4 9062
1855 1855 0.3375 0.8625 -0.025 4 7929
1856 1856 0.3375 0.8875 -0.025 4 6025
1857 1857 0.3375 0.9125 -0.025 4 4272
1858 1858 0.3375 0.9375 -0.025 4 3639
1859 1859 0.3375 0.9625 -0.025 4 4420
1860 1860 0.3375 0.9875 -0.025 4 5729
1861 1861 0.3375 1.0125 -0.025 4 7252
1862 1862 0.3375 1.0375 -0.025 4 8468
1863 1863 0.3375 1.0625 -0.025 4 9226
1864 1864 0.3375 1.0875 -0.025 4 9292
1865 1865 0.3375 1.1125 -0.025 4 8795
1866 1866 0.3375 1.1375 -0.025 4 8538
1867 1867 0.3375 1.1625 -0.025 4 8531
1868 1868 0.3375 1.1875 -0.025 4 8543
1869 1869 0.3375 1.2125 -0.025 4 8448
1870 1870 0.3375 1.2375 -0.025 4 8434
1871 1871 0.3375 1.2625 -0.025 4 8587
1872 1872 0.3375 1.2875 -0.025 4 8684
1873 1873 0.3375 1.3125 -0.025 4 8715
1874 1874 0.3375 1.3375 -0.025 4 8215
1875 1875 0.3375 1.3625 -0.025 4 7133
1876 1876 0.3375 1.3875 -0.025 4 5859
1877 1877 0.3375 1.4125 -0.025 4 5106
1878 1878 0.3375 1.4375 -0.025 4 4945
1879 1879 0.3375 1.4625 -0.025 4 4821
1880 1880 0.3375 1.4875 -0.025 4 4846
1881 1881 0.3375 1.5125 -0.025 4 4889
1882 1882 0.3375 1.5375 -0.025 4 5001
1883 1883 0.3375 1.5625 -0.025 4 5426
1884 1884 0.3375 1.5875 -0.025 4 5297
1885 1885 0.3375 1.6125 -0.025 4 4348
1886 1886 0.3375 1.6375 -0.025 4 3012
1887 1887 0.3375 1.6625 -0.025 4 3235
1888 1888 0.3375 1.6875 -0.025 4 3555
1889 1889 0.3375 1.7125 -0.025 4 3875
1890 1890 0.3375 1.7375 -0.025 4 4195
1891 1891 0.3375 1.7625 -0.025 4 4515
1892 1892 0.3375 1.7875 -0.025 4 5443
1893 1893 0.3375 1.8125 -0.025 4 6579
1894 1894 0.3375 1.8375 -0.025 4 8219
1895 1895 0.3375 1.8625 -0.025 4 10516
1896 1896 0.3375 1.8875 -0.025 4 12064
1897 1897 0.3375 1.9125 -0.025 4 11859
1898 1898 0.3375 1.9375 -0.025 4 10623
1899 1899 0.3375 1.9625 -0.025 4 9768
1900 1900 0.3375 1.9875 -0.025 4 9555
1901 1901 0.3375 2.0125 -0.025 4 9401
1902 1902 0.3375 2.0375 -0.025 4 9102
1903 1903 0.3375 2.0625 -0.025 4 8844
1904 1904 0.3375 2.0875 -0.025 4 8899
1905 1905 0.3375 2.1125 -0.025 4 9105
1906 1906 0.3375 2.1375 -0.025 4 9308
1907 1907 0.3375 2.1625 -0.025 4 9900
1908 1908 0.3375 2.1875 -0.025 4 10947
1909 1909 0.3375 2.2125 -0.025 4 11828
1910 1910 0.3375 2.2375 -0.025 4 12644
1911 1911 0.3375 2.2625 -0.025 4 13578
1912 1912 0.3375 2.2875 -0.025 4 13978
1913 1913 0.3375 2.3125 -0.025 4 13715
1914 1914 0.3375 2.3375 -0.025 4 13265
1915 1915 0.3375 2.3625 -0.025 4 12793
1916 1916 0.3375 2.3875 -0.025 4 11931
1917 1917 0.3375 2.4125 -0.025 4 11038
1918 1918 0.3375 2.4375 -0.025 4 10674
1919 1919 0.3375 2.4625 -0.025 4 10428
1920 1920 0.3375 2.4875 -0.025 4 10181
1921 1921 0.3375 2.5125 -0.025 4 10037
1922 1922 0.3375 2.5375 -0.025 4 9986
1923 1923 0.3375 2.5625 -0.025 4 10470
1924 1924 0.3375 2.5875 -0.025 4 11451
1925 1925 0.3375 2.6125 -0.025 4 11909
1926 1926 0.3375 2.6375 -0.025 4 11334
1927 1927 0.3375 2.6625 -0.025 4 10656
1928 1928 0.3375 2.6875 -0.025 4 10464
1929 1929 0.3375 2.7125 -0.025 4 10690
1930 1930 0.3375 2.7375 -0.025 4 11564
1931 1931 0.3375 2.7625 -0.025 4 12894
1932 1932 0.3375 2.7875 -0.025 4 13503
1933 1933 0.3375 2.8125 -0.025 4 12880
1934 1934 0.3375 2.8375 -0.025 4 12204
1935 1935 0.3375 2.8625 -0.025 4 12117
1936 1936 0.3375 2.8875 -0.025 4 12086
1937 1937 0.3375 2.9125 -0.025 4 11339
1938 1938 0.3375 2.9375 -0.025 4 10147
1939 1939 0.3375 2.9625 -0.025 4 9338
1940 1940 0.3375 2.9875 -0.025 4 8626
1941 1941 0.3375 3.0125 -0.025 4 7845
1942 1942 0.3375 3.0375 -0.025 4 7884
1943 1943 0.3375 3.0625 -0.025 4 7939
1944 1944 0.3375 3.0875 -0.025 4 7140
1945 1945 0.3375 3.1125 -0.025 4 6703
1946 1946 0.3375 3.1375 -0.025 4 6196
1947 1947 0.3375 3.1625 -0.025 4 5009
1948 1948 0.3375 3.1875 -0.025 4 4451
1949 1949 0.3375 3.2125 -0.025 4 4351
1950 1950 0.3375 3.2375 -0.025 4 4486
1951 1951 0.3375 3.2625 -0.025 4 4792
1952 1952 0.3375 3.2875 -0.025 4 4877
1953 1953 0.3375 3.3125 -0.025 4 4846
1954 1954 0.3375 3.3375 -0.025 4 4600
1955 1955 0.3375 3.3625 -0.025 4 4968
1956 1956 0.3375 3.3875 -0.025 4 5902
1957 1957 0.3375 3.4125 -0.025 4 6350
1958 1958 0.3375 3.4375 -0.025 4 5383
1959 1959 0.3375 3.4625 -0.025 4 4558
1960 1960 0.3375 3.4875 -0.025 4 5065
1961 1961 0.3625 0.0125 -0.025 4 4545
1962 1962 0.3625 0.0375 -0.025 4 4313
1963 1963 0.3625 0.0625 -0.025 4 4081
1964 1964 0.3625 0.0875 -0.025 4 5805
1965 1965 0.3625 0.1125 -0.025 4 6662
1966 1966 0.3625 0.1375 -0.025 4 5516
1967 1967 0.3625 0.1625 -0.025 4 4099
1968 1968 0.3625 0.1875 -0.025 4 4548
1969 1969 0.3625 0.2125 -0.025 4 5521
1970 1970 0.3625 0.2375 -0.025 4 7286
1971 1971 0.3625 0.2625 -0.025 4 8200
1972 1972 0.3625 0.2875 -0.025 4 8976
1973 1973 0.3625 0.3125 -0.025 4 9598
1974 1974 0.3625 0.3375 -0.025 4 9925
1975 1975 0.3625 0.3625 -0.025 4 10609
1976 1976 0.3625 0.3875 -0.025 4 11632
1977 1977 0.3625 0.4125 -0.025 4 12564
1978 1978 0.3625 0.4375 -0.025 4 12876
1979 1979 0.3625 0.4625 -0.025 4 12320
1980 1980 0.3625 0.4875 -0.025 4 11346
1981 1981 0.3625 0.5125 -0.025 4 10653
1982 1982 0.3625 0.5375 -0.025 4 10497
1983 1983 0.3625 0.5625 -0.025 4 10697
1984 1984 0.3625 0.5875 -0.025 4 10743
1985 1985 0.3625 0.6125 -0.025 4 10303
1986 1986 0.3625 0.6375 -0.025 4 9751
1987 1987 0.3625 0.6625 -0.025 4 9478
1988 1988 0.3625 0.6875 -0.025 4 9117
1989 1989 0.3625 0.7125 -0.025 4 8675
1990 1990 0.3625 0.7375 -0.025 4 8810
1991 1991 0.3625 0.7625 -0.025 4 9467
1992 1992 0.3625 0.7875 -0.025 4 9746
1993 1993 0.3625 0.8125 -0.025 4 9729
1994 1994 0.3625 0.8375 -0.025 4 9455
1995 1995 0.3625 0.8625 -0.025 4 8316
1996 1996 0.3625 0.8875 -0.025 4 6548
1997 1997 0.3625 0.9125 -0.025 4 4912
1998 1998 0.3625 0.9375 -0.025 4 4383
1999 1999 0.3625 0.9625 -0.025 4 5326
2000 2000 0.3625 0.9875 -0.025 4 6792
As a follow-up, I am able to achieve what I'd like to do in terms of a set range of values for amplitude using filled.contour() and specifying the zlim argument - however, in the end I'd still like to have the possibilities for layering that ggplot offers available to me; so, please let me know if you have ideas/solutions. Thanks ---------- e.g #assumes prior code in this thread was run to create sub1 and sub3 require(akima) zz1<-with(sub1, interp(x, y, amplitude)) zz3<-with(sub3, interp(x,y, amplitude)) filled.contour(zz1,col = topo.colors(24),xlab="x",ylab="x", zlim= c(0, 12000),main=one[1,4]) filled.contour(zz3,col = topo.colors(24),xlab="x",ylab="x", zlim= c(0, 12000),main=one[1,4]) On Thu, Feb 21, 2013 at 12:02 PM, Benjamin Caldwell <btcaldwell@berkeley.edu> wrote:> Dear R help, > > I have some readings in three dimensions (x, y, z) and an amplitude for > each. I'd like to visualize the data using ggplot, using tile plots, as I > have some additional point data I would like to eventually overlay on the > tile plots. > > I would like to subset the data by sections, slices if you will, in the z > dimension, and plot the data for that slice. > > I can do all of this, but am having a largish hangup - ggplot > automatically keys the fill gradient to the data which is assigned the fill > aesthetic. This is a problem for me because I have different ranges of > amplitudes for different depth slices. So, I'm seeing the same color > assigned to a different amplitude for each of my plots. > > I would like to assign the colors in the fill gradient to a range that I > specify, not the range that is in the subset of the data, but I don't know > how. > > Some example data and code attached. > > Thanks > > Ben Caldwell > > --------------------------------------------- > > require(ggplot2) > > setwd("") > > input<-read.table("examplefile.txt", header=TRUE) > str(input) > > head(input) > > # X x y z depth amplitude > # 1 1 0.0125 0.0125 -0.025 1 623 > # 2 2 0.0125 0.0375 -0.025 1 654 > # 3 3 0.0125 0.0625 -0.025 1 685 > # 4 4 0.0125 0.0875 -0.025 1 1598 > # 5 5 0.0125 0.1125 -0.025 1 2200 > # 6 6 0.0125 0.1375 -0.025 1 1917 > > depths<- with(input, sort(unique(depth))) > depths > # [1] 1 2 3 4 > > mysubset<-function(input, column.name, expression.to.match){ > > output <- input[column.name==expression.to.match,] > > return(output) > } > > sub1 <- mysubset(input, input$depth, depths[1]) > sub2 <- mysubset(input, input$depth, depths[2]) > sub3 <- mysubset(input, input$depth, depths[3]) > sub4 <- mysubset(input, input$depth, depths[4]) > > p <- ggplot(sub1, aes(x=x,y=y,fill=amplitude)) > p + geom_tile() + scale_fill_gradientn("Custom > Colours",colours=c("purple","blue","green","yellow","orange","red")) > # custom colours legend range and assigned colors is different than in the > next plot > > p <- ggplot(sub3, aes(x=x,y=y,fill=amplitude)) > p + geom_tile() + scale_fill_gradientn("Custom > Colours",colours=c("purple","blue","green","yellow","orange","red")) > >[[alternative HTML version deleted]]
Hi Ben,
How about
lim <- with(input, {
c(min(amplitude),
max(amplitude))})
p <- ggplot(sub1, aes(x=x,y=y,fill=amplitude))
p +
geom_tile() +
scale_fill_gradientn("Custom
Colours",
colours=c("purple",
"blue",
"green",
"yellow",
"orange",
"red"),
limits=lim)
# custom colours legend range and assigned colors is the same in the next plot
dev.new()
p <- ggplot(sub3, aes(x=x,y=y,fill=amplitude))
p +
geom_tile() +
scale_fill_gradientn("Custom
Colours",
colours=c("purple",
"blue",
"green",
"yellow",
"orange",
"red"),
limits=lim)
Best,
Ista
On Thu, Feb 21, 2013 at 3:02 PM, Benjamin Caldwell
<btcaldwell at berkeley.edu> wrote:> Dear R help,
>
> I have some readings in three dimensions (x, y, z) and an amplitude for
> each. I'd like to visualize the data using ggplot, using tile plots, as
I
> have some additional point data I would like to eventually overlay on the
> tile plots.
>
> I would like to subset the data by sections, slices if you will, in the z
> dimension, and plot the data for that slice.
>
> I can do all of this, but am having a largish hangup - ggplot automatically
> keys the fill gradient to the data which is assigned the fill aesthetic.
> This is a problem for me because I have different ranges of amplitudes for
> different depth slices. So, I'm seeing the same color assigned to a
> different amplitude for each of my plots.
>
> I would like to assign the colors in the fill gradient to a range that I
> specify, not the range that is in the subset of the data, but I don't
know
> how.
>
> Some example data and code attached.
>
> Thanks
>
> Ben Caldwell
>
> ---------------------------------------------
>
> require(ggplot2)
>
> setwd("")
>
> input<-read.table("examplefile.txt", header=TRUE)
> str(input)
>
> head(input)
>
> # X x y z depth amplitude
> # 1 1 0.0125 0.0125 -0.025 1 623
> # 2 2 0.0125 0.0375 -0.025 1 654
> # 3 3 0.0125 0.0625 -0.025 1 685
> # 4 4 0.0125 0.0875 -0.025 1 1598
> # 5 5 0.0125 0.1125 -0.025 1 2200
> # 6 6 0.0125 0.1375 -0.025 1 1917
>
> depths<- with(input, sort(unique(depth)))
> depths
> # [1] 1 2 3 4
>
> mysubset<-function(input, column.name, expression.to.match){
>
> output <- input[column.name==expression.to.match,]
>
> return(output)
> }
>
> sub1 <- mysubset(input, input$depth, depths[1])
> sub2 <- mysubset(input, input$depth, depths[2])
> sub3 <- mysubset(input, input$depth, depths[3])
> sub4 <- mysubset(input, input$depth, depths[4])
>
> p <- ggplot(sub1, aes(x=x,y=y,fill=amplitude))
> p + geom_tile() + scale_fill_gradientn("Custom
>
Colours",colours=c("purple","blue","green","yellow","orange","red"))
> # custom colours legend range and assigned colors is different than in the
> next plot
>
> p <- ggplot(sub3, aes(x=x,y=y,fill=amplitude))
> p + geom_tile() + scale_fill_gradientn("Custom
>
Colours",colours=c("purple","blue","green","yellow","orange","red"))
>
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