按每行中NA的数量对数据进行排序 [英] Sort data by number of NA's in each line

问题描述

我想对一个缺少一些值的数据框进行排序.

I want to sort a data frame that has some missing values.

name    dist1   dist2   dist3   prop1   prop2   prop3   month2  month5  month10 month25 month50 issue
1   A1  232.0   1462.91 232.0000    728.00  0.370   0.05633453  1188.1  1188.1  1188.1  1188.1  1188.1  Yes
2   A2  142.0   58.26   2847.7690   17.10   0.080   0.07667063  14581.6 15382.0 19510.9 25504.0 NA  Yes
3   A3  102.0   1160.94 102.0000    53.40   0.090   0.07667063  144.8   144.8   144.8   291.8   761.4   Yes
4   A4  126.0   1377.23 126.0000    64.30   2.120   0.11040091  366.5   496.8   665.3   NA  NA  Yes
5   A5  118.0   654.94  118.0000    16.50   0.030   0.05841914  0.0 10.2    198.4   733.7   1717.0  Yes
6   A6  110.0   1084.63 110.0000    340.00  0.390   0.07405169  4635.0  4863.0  7725.0  8028.0  NA  Yes
7   A7  123.0   0.00    1801.1811   83.40   0.030   0.06420000  4686.9  4803.6  5052.0  5418.5  7237.5  Yes
8   A8  125.0   0.00    5557.7428   1.14    0.050   0.06604286  4932.0  8607.0  10827.0 13679.0 NA  Yes
9   A9  108.0   0.00    6207.3491   92.30   0.070   0.08710000  3360.0  7440.0  10508.0 12571.0 16925.0 Yes
10  A10 60.0    0.00    2500.0000   0.73    0.020   0.06819053  15.1    19.9    19.9    19.9    19.9    Yes
11  A11 210.0   700.78  210.0000    7.78    0.290   0.07866589  182.4   182.4   182.4   298.0   1864.1  No
12  A12 155.0   530.48  155.0000    1.33    0.170   0.07578345  1.0 2.0 3.0 4.0 5.0 No
13  A13 21.0    840.00  21.0000 308.00  0.030   0.05508490  1008.7  1450.8  2439.8  4947.2  6818.9  No
14  A14 114.0   1083.24 114.0000    171.00  0.040   0.04670335  564.7   722.8   760.6   879.8   944.4   No
15  A15 109.0   1051.03 109.0000    20.30   0.070   0.05274389  5503.1  9127.9  11167.4 18226.1 20243.4 No
16  A16 107.0   922.80  107.0000    0.03    0.020   0.04403927  232.6   1016.5  2203.8  3844.9  4000.6  No
17  A17 100.0   278.10  100.0000    0.82    0.100   0.07270705  2754.0  4701.7  5311.9  9579.3  14651.3 No
18  A18 138.0   798.42  138.0000    1.04    0.100   0.07148773  3657.2  4014.0  4525.9  4674.7  4838.5  No
19  A19 105.0   695.02  105.0000    1.41    0.120   0.06716963  3530.2  4076.1  11517.0 18899.5 21073.0 No
20  A20 81.0    12.00   879.2651    16.70   0.120   0.08087098  6477.1  6788.8  7320.0  7947.7  8726.6  No
21  A21 102.0   1052.96 102.0000    66.40   0.010   0.02926897  181.7   294.0   355.5   1431.6  NA  No

仅month2 month5 month10 month25 month50包含NA，如果其中一个较早的是NA，则其余所有均为NA.

only month2 month5 month10 month25 month50 contain NAs, and if one if the earlier one is NA, then all the rests are also NAs.

即，如果month2是NA，则month5 month10 month25 month50都是NA.

ie.e if month2 is NA, then month5 month10 month25 month50 are all NA's.

我想根据每行中缺失值的数量对数据进行排序.

I want to sort the data based on the number of missing values in each line.

排序后的数据框应首先包含所有完整数据，然后是缺失值1的行，然后是2的行，依此类推.

The sorted data frame should have all complete data first, followed by lines with 1 missing value, then with 2, and so on.

有人可以帮助我吗?

推荐答案

您可以使用

dat[order(rowSums(is.na(dat))), ]

其中dat是数据框的名称.

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