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我正在尝试绘制变量 ( rd2200w) 与海拔 (Z) 的关系。我也在尝试覆盖和填充密度轮廓。这适用于整个数据集。当我尝试通过另一个变量进行分面时,我遇到了错误。我在这里读过类似的问题(https://github.com/tidyverse/ggplot2/issues/3875),我理解问题可能是统计数据是在整个数据集上计算的,然后无法绘制每个面板反映的子集?我显然不完全理解并希望有人可以帮助解决分面包装解决方案?

我的数据集发布在下面(对不起,我不知道该怎么做!?)

Z   rd2200w Alteration_Domain
2086.42324  2212.87 a
2086.42324  2213.02 a
2069.478712 2211.34 a
2069.478712 2213.16 a
2069.478712 2214.1  a
2052.696713 2214.36 c
2052.696713 2212.73 c
2052.696713 2215.48 c
2036.87584  2215.05 c
2036.87584  2217.96 c
2036.87584  2215.11 c
2021.472239 2214.68 c
2021.472239 2213.25 c
2021.472239 2215.17 c
2021.472239 2214.33 c
2006.998792 2210.31 d
2006.998792 2210.06 d
2006.998792 2208.45 d
2006.030051 2207.68 d
2006.030051 2208.5  d
2006.030051 2207.5  d
2000.944162 2211.52 d
2000.944162 2211.63 d
2000.944162 2211.62 d
2000.352154 2210.97 d
2000.352154 2211.01 d
2000.352154 2211.14 d
1999.933135 2209.05 d
1999.933135 2209.02 d
1999.933135 2209.15 d
1999.798588 2211.63 d
1999.798588 2209.96 d
1999.798588 2208.89 d
1994.324434 2207.89 d
1994.324434 2208.89 d
1994.324434 2209.21 d
2036.366055 2212.26 c
2036.366055 2215.62 c
2036.366055 2214.66 c
1970.103275 2215.93 c
1970.103275 2212.93 c
1970.103275 2216.18 c
1846.501458 2214.54 d
1846.501458 2213.88 d
1846.501458 2212.54 d
1850.226434 2208.72 d
1850.226434 2207.37 d
1850.226434 2208.63 d
1846.212016 2209.39 d
1846.212016 2209.19 d
1846.212016 2210.82 d
1836.310846 2214.16 c
1836.310846 2208.71 c
1827.806748 2214.69 c
1827.806748 2216.12 c
1827.806748 2216.26 c
1819.311479 2219.91 c
1819.311479 2211.56 c
1819.311479 2212.59 c
1852.636502 2208.66 d
1852.636502 2208.29 d
1852.636502 2207.75 d
1861.854882 2215.05 d
1861.854882 2215.66 d
1861.854882 2215.57 d
1878.248559 2212.3  d
1878.248559 2208.61 d
1878.248559 2210.25 d
1887.487585 2205.72 d
1887.487585 2207.14 d
1887.487585 2206.97 d
1896.071566 2216.15 c
1896.071566 2214.04 c
1896.071566 2216.47 c
1896.071566 2213.62 c
1896.071566 2214.87 c
1896.071566 2214.57 c
1904.678364 2214.1  c
1904.678364 2215.39 c
1904.678364 2216.37 c
1904.678364 2215.36 c
1904.678364 2214.81 c
1904.678364 2215.51 c
1770.292975 2209.43 c
1770.292975 2211.98 c
1770.292975 2215.52 c
1753.475712 2224.34 e
1736.676562 2214.12 e
1736.676562 2214.2  e
1736.676562 2214.33 e
1736.676562 2214.37 e
1692.016018 2215.09 e
1692.016018 2214.46 e
1692.016018 2215.17 e
1678.038773 2209.9  e
1678.038773 2211.71 e
1678.038773 2210.08 e
1678.038773 2212.31 e
1678.038773 2211.33 e
1678.038773 2212.26 e
1658.580255 2202.69 e
1658.580255 2206.77 e
1658.580255 2207.25 e
1641.630159 2200.5  e
1641.630159 2204.86 e
1641.630159 2202.75 e
1622.333283 2205.65 e
1622.333283 2207.01 e
1622.333283 2204.37 e
1605.654075 2204.22 e
1605.654075 2206.97 e
1605.654075 2206.53 e
1605.654075 2198.82 e
1605.654075 2198.25 e
1605.654075 2218.21 e
1586.267349 2202.4  e
1586.267349 2202.33 e
1586.267349 2206.22 e
1524.883238 2202.07 e
1524.883238 2207.86 e
1524.883238 2202.37 e
2044.450809 2215.64 c
2044.450809 2208.13 c
2044.450809 2213.49 c
1954.622099 2214.4  c
1954.622099 2214.74 c
1954.622099 2214.42 c
1567.485924 2204.66 e
1567.485924 2204.38 e
1567.485924 2202.21 e
1553.802898 2201.77 f
1553.802898 2203.27 f
1553.802898 2204.54 f
1553.802898 2193.04 f
1553.802898 2199.35 f
1552.260692 2218.06 f
1552.260692 2217.63 f
1552.260692 2218.8  f
1552.260692 2214.99 f
1552.260692 2214.39 f
1552.260692 2215.4  f
1552.260692 2200.37 f
1552.260692 2196.59 f
1552.260692 2199.83 f
1550.349482 2213.47 e
1551.359072 2214.81 e
1551.359072 2215.15 e
1551.359072 2213.87 e
1547.31312  2203.7  e
1547.31312  2204.52 e
1547.31312  2206.07 e
1544.679434 2206.42 f
1544.679434 2207    f
1544.679434 2207.31 f
1543.891891 2207.19 f
1543.891891 2206.25 f
1543.891891 2207.83 f
1543.549917 2204.65 f
1543.549917 2205.54 f
1543.549917 2207.8  f
1543.297954 2201.11 f
1543.297954 2196.27 f
1543.297954 2198.84 f
1542.204783 2208.69 e
1542.204783 2207.49 e
1542.204783 2209.14 e
1541.29177  2207.13 f
1541.29177  2206.72 f
1541.29177  2206.4  f
1541.29177  2205.94 f
1541.29177  2206.83 f
1541.29177  2205.41 f
1539.129195 2202.89 f
1539.129195 2199.09 f
1539.129195 2200.16 f
1716.161148 2215.57 c
1716.161148 2212.06 c
1716.161148 2212.41 c
1698.280996 2193.41 e
1698.280996 2214.33 e
1680.110242 2203.45 e
1680.110242 2207.21 e
1680.110242 2215.54 e
1661.077303 2213.5  e
1661.077303 2221.35 e
1651.471116 2208.24 e
1651.471116 2213.97 e
1651.471116 2201.88 e
1651.471116 2207.92 e
1634.979634 2205.24 e
1634.979634 2212.06 e
1634.979634 2212.91 e
1614.816289 2207.17 e
1614.816289 2194.55 e
1614.816289 2205.04 e
1599.061183 2207.7  e
1599.061183 2207.82 e
1599.061183 2206.65 e
1580.994972 2197.91 e
1580.994972 2216.6  e
1564.253712 2207.63 e
1564.253712 2208.14 e
1564.253712 2205.59 e
1826.557925 2208.94 c
1826.557925 2209.58 c
1826.557925 2208.88 c
2078.806219 2210.19 a
2078.806219 2215.22 a
2078.806219 2210.89 a
2078.806219 2209.93 a
2078.806219 2212.08 a
2078.806219 2211.17 a
2002.605431 2212.7  c
2002.605431 2212.7  c
2002.605431 2208.08 c
1915.708709 2208.38 c
1915.708709 2208.29 c
1915.708709 2208.44 c
1433.320612 2209.03 f
1433.320612 2204.06 f
1432.979881 2214.44 f
1432.979881 2200.42 f
1432.979881 2216.36 f
1432.979881 2199.55 f
1429.332222 2207.74 f
1429.332222 2207.47 f
1429.332222 2207.49 f
1429.332222 2207.66 f
1428.412952 2209.12 e
1428.412952 2209.02 e
1427.078871 2202.98 f
1427.078871 2200.56 f
1427.078871 2200.05 f
1427.078871 2200.36 f
1427.078871 2197.93 f
1426.7392   2200.79 f
1426.7392   2199.61 f
1426.7392   2200.46 f
1426.244474 2206.39 f
1426.244474 2207.22 f
1426.244474 2207.58 e
1425.251198 2198.55 e
1425.251198 2200.76 e
1425.251198 2198.95 e
1422.512816 2205.66 e
1422.512816 2206.19 e
1422.512816 2205.36 e
1414.590981 2200.19 e
1414.590981 2200.99 e
1414.590981 2202.1  e
1436.406655 2201.95 e
1436.406655 2205.39 e
1436.406655 2205.07 e
1470.407999 2205.14 e
1470.407999 2200.99 e
1470.407999 2205.74 e
1487.529851 2204.55 e
1487.529851 2204.42 e
1487.529851 2203.47 e
1521.842924 2200.06 e
1521.842924 2208.35 e
1521.842924 2205.62 e
1539.867238 2204.95 e
1539.867238 2205.06 e
1539.867238 2206.13 e
1548.420466 2207.26 e
1548.420466 2208.15 e
1548.420466 2206.39 e
1281.453083 2216.41 e
1281.453083 2208.91 e
1281.453083 2214.07 e
1990.521576 2211.05 c
1990.521576 2210.03 c
1990.521576 2209.88 c
2006.799967 2214.74 c
2006.799967 2212.98 c
2006.799967 2217.04 c
2006.799967 2215.49 c
2006.799967 2216.19 c
2006.799967 2214.57 c
2023.649534 2207.98 c
2023.649534 2208.52 c
2023.649534 2210.61 c
2023.649534 2210.64 c
2023.649534 2209.8  c
2041.512766 2213.35 b
2041.512766 2213.44 b
2041.512766 2213.51 b
2058.450516 2214.36 a
2058.450516 2214.16 a
2058.450516 2214.13 a
1958.054076 2213.82 c
1958.054076 2215.22 c
1958.054076 2215.23 c
1958.054076 2214.85 c
1958.054076 2217.13 c
1958.054076 2214.17 c
2090.54446  2207.8  b
2082.399869 2212.65 a
2082.399869 2213.09 a
2082.399869 2212.86 a
2081.167137 2213.15 a
2081.167137 2213.77 a
2081.167137 2213.24 a
2075.849801 2215.13 a
2075.849801 2214.33 a
2075.849801 2215.48 a
2024.94658  2216.34 c
2024.94658  2216.92 c
2024.94658  2215.11 c
2007.333387 2210.97 c
2007.333387 2210.07 c
2007.333387 2210.92 c
1991.675574 2214.91 c
1991.675574 2213.79 c
1991.675574 2214.2  c
1991.675574 2215.96 c
1991.675574 2217.99 c
1991.675574 2218.18 c
1972.848345 2214.21 c
1972.848345 2215.01 c
1972.848345 2214.96 c
1906.36169  2221.72 c
1906.36169  2221.95 c
1906.36169  2212.99 c
2075.592427 2212.9  a
2075.592427 2213.14 a
2075.592427 2212.98 a
2059.91593  2213.1  c
2059.91593  2212.83 c
2059.91593  2214.16 c
2042.231806 2213.9  c
2042.231806 2214.08 c
2042.231806 2213.8  c
1974.09126  2212.95 c
1974.09126  2211.65 c
1974.09126  2211.69 c
1956.487613 2217.53 c
1956.487613 2213.54 c
1956.487613 2212.9  c
1956.487613 2211.17 c
1956.487613 2210.28 c
1956.487613 2210.67 c
1949.289203 2215.77 c
1949.289203 2217.49 c
1949.289203 2214.14 c
1939.619145 2210.88 d
1939.619145 2210.02 d
1939.619145 2210.7  d
1935.600964 2208.49 d
1935.600964 2209.42 d
1935.600964 2209.36 d
1931.499535 2209.03 d
1931.499535 2210.11 d
1931.499535 2207.79 d
1931.342475 2209.39 d
1931.342475 2210.06 d
1931.342475 2208.87 d
1930.561456 2209.49 c
1930.561456 2210.09 c
1930.561456 2209.6  c
1922.62739  2213.81 c
1922.62739  2217.36 c
1922.62739  2218.86 c
1915.376441 2212.43 c
1915.376441 2214.83 c
1915.376441 2211.07 c
1926.047366 2214.06 c
1926.047366 2216.09 c
1926.047366 2215.99 c
1907.046192 2208.04 c
1888.039238 2216.1  c
1888.039238 2221.34 c
1888.039238 2211.39 c
1870.995724 2212.77 c
1870.995724 2215.04 c
1870.995724 2221.4  c
1802.301141 2204.58 e
1802.301141 2196.49 e
1802.301141 2204.3  e
1802.301141 2214.38 e
1802.301141 2204.73 e
1802.301141 2205.14 e
1783.093429 2214.02 e
1768.422942 2208.3  e
1768.422942 2215.48 e
1748.689796 2214.92 e
1748.689796 2206.65 e
1737.14726  2207.98 e
1737.14726  2212.26 e
1737.14726  2211.62 e
1751.42176  2205.95 e
1751.42176  2207.32 e
1751.42176  2206.67 e
1854.018233 2212.16 c
1854.018233 2210.95 c
1854.018233 2213.44 c
1850.523689 2208.11 c
1850.523689 2208.99 c
1850.523689 2208.47 c
1849.50749  2214.8  d
1849.50749  2215.69 d
1849.50749  2212.25 d
1849.232748 2212.16 d
1849.232748 2217.12 d
1849.232748 2213.86 d
1848.330099 2216.97 d
1848.330099 2212.04 d
1847.989999 2214.57 d
1847.989999 2216.7  d
1847.989999 2218.15 d
1847.418842 2208.86 d
1847.418842 2207.6  d
1847.418842 2208.68 d
1843.509153 2211.66 c
1843.509153 2210.04 c
1838.417083 2214.74 c
1838.417083 2210.38 c
1838.417083 2214.08 c
1836.980277 2215.7  d
1836.980277 2207.49 d
1836.980277 2214.46 d
1835.948565 2217.59 d
1835.948565 2210.66 d
1835.948565 2215.06 d
1835.195552 2215.03 d
1835.195552 2210.24 d
1835.195552 2212.88 d
1830.722615 2214.91 c
1830.722615 2213.79 c
1830.722615 2211.48 c
2069.843563 2214.25 a
2069.843563 2213.85 a
2069.843563 2212.85 a
2016.050359 2213.37 c
2016.050359 2213.07 c
2016.050359 2214.64 c
1998.668644 2209.15 c
1998.668644 2208.74 c
1998.668644 2209.13 c
1983.667382 2215.03 c
1983.667382 2215.87 c
1983.667382 2213.73 c
1967.456487 2213.87 c
1967.456487 2214.75 c
1967.456487 2212.67 c
1904.820267 2207.64 c
1904.820267 2208.9  c
1873.68313  2213.58 c
1873.68313  2211.84 c
1873.68313  2211.19 c
2049.023764 2212.58 a
2049.023764 2213.16 a
2049.023764 2211.92 a
2043.757236 2209.72 b
2043.757236 2209.76 b
2043.757236 2209.74 b
2042.43493  2208.75 b
2042.43493  2208.8  b
2041.707688 2214.55 b
2041.707688 2214.52 b
2041.707688 2214.55 b
2041.400464 2212.21 b
2041.400464 2212    b
2041.400464 2212.12 b
2040.424368 2215.36 b
2040.424368 2215.11 b
2040.424368 2215.47 b
2038.814469 2208.74 c
2038.814469 2209.24 c
2038.814469 2210.66 c
2038.814469 2209.08 c
2038.814469 2209.3  c
2038.814469 2209.32 c
2030.906327 2214.57 c
2030.906327 2216.94 c
2030.906327 2210.73 c
2030.906327 2210.05 c
2030.906327 2212.69 c
2030.906327 2209.94 c
1952.346787 2208.49 c
1952.346787 2209.02 c
1952.346787 2208.53 c
1950.374811 2212.78 c
1950.374811 2213.6  c
1950.374811 2212.97 c
1947.947718 2216.37 d
1947.947718 2214.44 d
1947.947718 2212.99 d
1947.947718 2207.48 d
1947.947718 2208.37 d
1947.947718 2208.49 d
1947.189868 2204.77 d
1947.189868 2212.23 d
1947.189868 2214.43 d
1947.017102 2209.53 d
1947.017102 2208.11 d
1947.017102 2208.66 d
1947.017102 2209.47 d
1947.017102 2214.91 d
1947.017102 2213.72 d
1946.812929 2212.32 d
1946.812929 2216.47 d
1946.812929 2212.33 d
1945.37991  2210.6  d
1945.37991  2210.49 d
1945.37991  2209.37 d
1938.253248 2193.53 c
1938.253248 2223.03 c
1938.253248 2218.65 c
1938.253248 2216.75 c
1929.883681 2208.76 c
1929.883681 2209.2  c
1929.883681 2208.71 c
1929.883681 2214.29 c
1929.883681 2212.43 c
1929.883681 2216.1  c
1864.002651 2211.79 c
1864.002651 2217.61 c
1864.002651 2213.03 c
1847.197268 2217.06 c
1847.197268 2217.39 c
1847.197268 2219.79 c
1830.357006 2222.58 c
1830.357006 2218.49 c
1830.357006 2216.12 c
1812.898532 2205.18 c
1812.898532 2205.26 c
1812.898532 2204.95 c
1749.430946 2207.57 e
1749.430946 2207.53 e
1749.430946 2207.36 e
1749.430946 2211.16 e
1749.430946 2209.51 e
1749.430946 2208.85 e
1735.074729 2209.3  e
1735.074729 2211.94 e
1735.074729 2209.44 e
1716.544599 2207.49 e
1716.544599 2206.48 e
1716.544599 2204.47 e
1716.544599 2207.16 e
1716.544599 2206.24 e
1716.544599 2205.98 e
1699.474015 2205.31 e
1699.474015 2203.09 e
1699.474015 2205.86 e
1682.46826  2208.8  e
1682.46826  2209.29 e
1682.46826  2208.77 e
1795.936141 2211.44 c
1795.936141 2210.3  c
1795.936141 2218.7  c
1788.663215 2208.24 e
1788.663215 2204.71 e
1788.663215 2209.33 e
1784.802085 2209.41 e
1784.802085 2202.88 e
1784.802085 2211.46 e
1784.802085 2218.17 e
1784.802085 2205.62 e
1784.802085 2207    e
1781.594307 2208.31 e
1781.594307 2206.13 e
1780.871866 2219.97 f
1780.871866 2215.35 f
1780.871866 2217.74 f
1780.871866 2208.51 f
1780.871866 2207.12 f
1780.871866 2208.12 f
1781.404182 2209.4  e
1781.404182 2209.91 e
1781.404182 2212.22 e
1778.185732 2212.69 e
1778.185732 2214.08 e
1778.185732 2216.05 e
1779.165427 2211.07 f
1779.165427 2210.2  f
1779.165427 2209.28 f
1777.856391 2208.38 f
1777.856391 2209.05 f
1777.856391 2203.38 f
1776.404152 2206.35 e
1776.404152 2205.89 e
1776.404152 2208.87 e
1775.948296 2207.76 e
1775.948296 2207.78 e
1775.948296 2207.72 e
1767.513399 2207.25 e
1767.513399 2208.18 e
1767.513399 2207.25 e
2074.095482 2213.73 a
2074.095482 2213.88 a
2074.095482 2213.32 a
2056.083804 2211.53 a
2056.083804 2211.68 a
2056.083804 2211.58 a
2038.344756 2213.94 c
2038.344756 2213.74 c
2038.344756 2214.48 c
2021.932713 2212.28 c
2021.932713 2212.23 c
2021.932713 2212.67 c
2016.060062 2210.56 c
2016.060062 2212.3  c
2016.060062 2215.02 c
2012.707347 2209.73 d
2012.707347 2212.87 d
2012.707347 2212.17 d
2009.066258 2211.13 d
2009.066258 2211.08 d
2009.066258 2211.36 d
2001.676277 2214.78 d
2001.676277 2214.54 d
2001.676277 2214.34 d
2004.716891 2211.22 d
2004.716891 2210.99 d
2004.716891 2211.53 d
1999.261546 2207.99 c
1992.70531  2209.61 c
1992.70531  2209.54 c
1992.70531  2209.07 c
2000.272031 2210.03 d
2000.272031 2210.3  d
2000.272031 2210.1  d
2097.487206 2213.72 a
2097.487206 2214.08 a
2097.487206 2214.12 a
1968.252232 2210.31 c
1968.252232 2210.99 c
1968.252232 2210.79 c
1894.834055 2210.77 c
1894.834055 2209.91 c
1894.834055 2210.8  c
1894.834055 2214.24 c
1894.834055 2214.07 c
1894.834055 2213.09 c
2035.327734 2210.02 a
1902.456757 2208.28 c
1902.456757 2208.27 c
2087.11071  2211.88 b
2087.11071  2211.91 b
2087.11071  2211.83 b
2085.508544 2215.73 b
2085.508544 2216.14 b
2085.508544 2215.89 b
2084.044941 2216.18 b
2084.044941 2215.93 b
2084.044941 2215.99 b
2079.831668 2213.05 a
2079.831668 2213.33 a
2079.831668 2212.99 a

代码:

dat <- read_csv("10_Source files/dat.csv")
dat$Alteration_Domain <- factor(dat$Alteration_Domain, levels = c("a","b","c","d","e","f"))

ggplot(dat, mapping = aes(y = Z, x = rd2200w))+
                    stat_density_2d(aes(alpha = ..level..), geom = "polygon", show.legend = FALSE)+                 
                    stat_density_2d(geom = "contour", color = "black", alpha = .25, show.legend = FALSE)+
                    scale_alpha(range = c(0.05,0.2))+
                    geom_point(aes(color = Alteration_Domain, shape = Alteration_Domain), alpha =0.5, size = 3)+
                    scale_shape_manual(values=c(0,15,1,16,5,18))+
                    scale_color_manual(values=c("green4","green4","gray1","gray1","royalblue1","royalblue1"))+
                    #facet_wrap(~Alteration_Domain)+
                    labs(x="rd_rd2200w_wvl", y="Elevation",title = "Z vs rd2200w (AlOH); No Int from rdmin1group or rdmin2group or rdmin3group", hjust = .5)+
                    stat_quadrant_counts(quadrants = 0L, label.x = "right", 
                        aes(label = sprintf("%i observations", stat(count))))+
                    guides(colour = FALSE, alpha = FALSE)+
                    theme_bw(base_size = 20)

这会产生以下很棒的情节: 在此处输入图像描述

当我取消注释facet_wrap上面代码中的行时,我得到了下面的图像,该图像具有适当的刻面但没有轮廓:

在此处输入图像描述

以及以下警告:

在此处输入图像描述

我希望在每个刻面都以与第一张图像相同的风格来实现刻面版本。

我在学习 R 来分析我的数据时磕磕绊绊,希望能得到任何帮助。另外,如果有更好的方法来发布数据示例,我很乐意。

谢谢你的时间!

4

2 回答 2

0

看起来这不是 facet_wrap 的正确应用,所以我通过创建一个循环来分割数据集并单独制作每个图,然后将它们组合成一个网格图结尾。

dat <- read_csv("10_Source files/dat.csv")
dat$Alteration_Domain <- factor(dat$Alteration_Domain, levels = 
c("a","b","c","d","e","f"))

altdom <- levels(dat$Alteration_Domain)
shape <- c(0,15,1,16,5,18)
color <- c("green4","green4","gray1","gray1","royalblue1","royalblue1")

L <- list()

for(i in seq_along(altdom)){

dat1 <- dat %>%
filter(Alteration_Domain == altdom[i])

xmin <- min(dat1$rd2200w) ; xmax <- max(dat1$rd2200w)
ymin <- min(dat1$Z) ; ymax <- max(dat1$Z)
    
L[[i]] <- ggplot(dat1, mapping = aes(y = Z, x = rd2200w))+
                    stat_density_2d(aes(alpha = ..level..), geom = "polygon", show.legend = FALSE)+                 
                    stat_density_2d(geom = "contour", color = "black", alpha = .25, show.legend = FALSE)+
                    scale_alpha(range = c(0.05,0.2))+
                    geom_point(aes(color = Alteration_Domain, shape = Alteration_Domain), alpha =0.5, size = 3, show.legend = FALSE)+
                    scale_shape_manual(values= shape[i])+
                    scale_color_manual(values=color[i])+
                    labs(title = paste(altdom[i]))+
                    stat_quadrant_counts(quadrants = 0L, label.x = "right", 
                        aes(label = sprintf("%i observations", stat(count))))+
                    guides(colour = FALSE, alpha = FALSE)+
                    theme_bw(base_size = 20)+
                    theme(axis.title = element_blank(), plot.title = element_text(hjust = 0.5,size = 20))+
                    scale_x_continuous(limits = c(xmin-10,xmax+10)) + 
                    scale_y_continuous(limits = c(ymin-50,ymax+50)) +
                    coord_cartesian(xlim = c(xmin,xmax), ylim = c(ymin,ymax))
                    
                    }
                    
y.grob <- textGrob("Elevation", gp=gpar(fontsize=20), rot=90)
x.grob <- textGrob("rd_2200_wvl", gp=gpar(fontsize=20))
    
####    make plot grid
p7 <- plot_grid(L[[1]],L[[2]],L[[3]],L[[4]],L[[5]],L[[6]],align = "hv",nrow = 2, axis = "l")

grid.arrange(arrangeGrob(p7, left = y.grob, bottom = x.grob))

产生: 在此处输入图像描述

这暂时符合我的目的,感谢大家的关注和帮助!

于 2020-08-05T04:26:52.720 回答
0

在最新版本中ggplot有使用geom_density_2d_filled. 您可以设置打破轮廓的箱数,尽管步长在组或方面是固定的。不可避免的是,由于每个刻面中点数的差异,等高线的数量会发生很大变化,如果低密度图看起来不错,高密度图看起来很乱,如果高密度刻面看起来,低密度图看起来很空好的。

就个人而言,我会丢失轮廓线并仅使用 alpha 密度填充。这将给出以下情节:

library(ggplot2)
library(ggpmisc)

ggplot(dat, aes(y = Z, x = rd2200w)) +
  geom_density2d_filled(aes(alpha = as.numeric(..nlevel..),
                            fill  = Alteration_Domain), 
                        bins = 1000) +
  geom_point() +
  scale_alpha(range = c(0.05,0.5)) +
  scale_fill_manual(values = rep(c("green4", "gray1", "royalblue1"), each = 2)) +
  stat_quadrant_counts(quadrants = 0L, label.x = "right", 
                       aes(label = sprintf("%i observations", stat(count)))) +
  facet_wrap(~Alteration_Domain, scales = "free") +
  labs(x = "rd_rd2200w_wvl", y = "Elevation",
       title = paste("Z vs rd2200w (AlOH); No Int from rdmin1group or", 
                     "rdmin2group or rdmin3group", sep = "\n"), hjust = .5) +
  guides(colour = FALSE, alpha = FALSE) +
  theme_bw(base_size = 20)

在此处输入图像描述

我认为这同样内容丰富,但更容易让人眼前一亮。

于 2020-08-04T12:52:05.317 回答