我正在尝试将数据行插入一列并添加缺少的行名称。
下面使用dput()包含数据。有一列包含行号，另一列包含概率。 head()和tail()位于下方。我正在尝试cbind此输出到另一个包含所有行（1：1859）的data.table（未包含）并且想要插入缺少的数据而不是重新排序行名称。
虽然merge()也可能合适，但我认为添加缺失数据（如下所述）是最佳选择。
data <- structure(c(0.447578502202603, 0.0377643922223044, 0.293829065219696,
0.247731422173557, 0.258454182579447, 0.370728239680138, 0.428982119725404,
0.970982798568656, 0.476951492304074, 0.0615086640134777, 0.0392505025014708,
0.546527152105146, 0.0736894630543969, 0.0377643922223044, 0.0638671437811352,
0.734381095218283, 0.0377643922223044, 0.0338509156119364, 0.231359441488042,
0.0338509156119364, 0.04619620544431, 0.999572420447029, 0.0673439981500492,
0.08618274906934, 0.999644103069121, 0.131956884728731, 0.999983792297403,
0.660168012045625, 0.390705302475554, 0.0377643922223044, 0.0552759476600101,
0.0414465870459318, 0.201360905713179, 0.839342408810146, 0.0615086640134777,
0.931569705880893, 0.4180243177983, 0.738789959119669, 0.835133795402349,
0.043759947041066, 0.454885741938136, 0.04619620544431, 0.251883463316181,
0.811927454514953, 0.058575107958477, 0.997171202614914, 0.244653304575698,
0.188230945092145, 0.935828195624839, 0.285569077721315, 0.04619620544431,
0.0766469090759971, 0.994245893309182, 0.447027271738386, 0.3225305943877,
0.972375288448514, 0.891106943907199, 0.575627360054002, 0.04619620544431,
0.4317288379505, 0.0414465870459318, 0.992759922251054, 0.0338509156119364,
0.0615086640134777, 0.718299686119277, 0.872478318264161, 0.804458697603663,
0.940024143413868, 0.0751585335541173, 0.04619620544431, 0.926209597279401,
0.04619620544431, 0.0818186063327247, 0.377287322854212, 0.0907566629876851,
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0.090325139971336, 0.943334232863117, 0.109671739827895, 0.998542976682527,
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0.999343060502805, 0.0907566629876851, 0.0748296820784503, 0.892525104393848,
0.999778068669299, 0.0414465870459318, 0.999984581697105, 0.0564002780597096,
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"175", "176", "177", "178", "179", "180", "181", "182", "183",
"184", "185", "186", "187", "188", "189", "190", "191", "192",
"193", "194", "195", "196", "197", "198", "199", "200", "201",
"202", "203", "204", "205", "206", "207", "208", "209", "210",
"211", "212", "213", "214", "215", "216", "217", "218", "219",
"220", "221", "222", "223", "224", "225", "226", "227", "228",
"229", "230", "231", "232", "233", "234", "235", "236", "237",
"238", "239", "240", "241", "242", "243", "244", "245", "246",
"247", "248", "249", "250", "251", "252", "253", "254", "255",
"256", "257", "258", "259", "260", "261", "262", "263", "264",
"265", "266", "267", "268", "269", "270", "271", "272", "273",
"274", "275", "276", "277", "278", "279", "280", "281", "282",
"283", "284", "285", "286", "287", "288", "289", "290", "291",
"292", "293", "294", "295", "296", "297", "298", "299", "300",
"301", "302", "303", "304", "305", "306", "307", "308", "309",
"310", "311", "312", "313", "314", "315", "316", "317", "318",
"319", "320", "321", "322", "323", "324", "325", "326", "327",
"328", "329", "330", "331", "332", "333", "334", "335", "336",
"337", "338", "339", "340", "341", "342", "343", "344", "345",
"346", "347", "348", "349", "350", "351", "352", "353", "354",
"355", "356", "357", "358", "359", "360", "361", "362", "363",
"364", "365", "1490", "1491", "1492", "1493", "1494", "1495",
"1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503",
"1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511",
"1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519",
"1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527",
"1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535",
"1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543",
"1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551",
"1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559",
"1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567",
"1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575",
"1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583",
"1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591",
"1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599",
"1600", "1601", "1602", "1603", "1604", "1605", "1606", "1607",
"1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615",
"1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623",
"1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631",
"1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639",
"1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647",
"1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655",
"1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663",
"1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671",
"1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679",
"1680", "1681", "1682", "1683", "1684", "1685", "1686", "1687",
"1688", "1689", "1690", "1691", "1692", "1693", "1694", "1695",
"1696", "1697", "1698", "1699", "1700", "1701", "1702", "1703",
"1704", "1705", "1706", "1707", "1708", "1709", "1710", "1711",
"1712", "1713", "1714", "1715", "1716", "1717", "1718", "1719",
"1720", "1721", "1722", "1723", "1724", "1725", "1726", "1727",
"1728", "1729", "1730", "1731", "1732", "1733", "1734", "1735",
"1736", "1737", "1738", "1739", "1740", "1741", "1742", "1743",
"1744", "1745", "1746", "1747", "1748", "1749", "1750", "1751",
"1752", "1753", "1754", "1755", "1756", "1757", "1758", "1759",
"1760", "1761", "1762", "1763", "1764", "1765", "1766", "1767",
"1768", "1769", "1770", "1771", "1772", "1773", "1774", "1775",
"1776", "1777", "1778", "1779", "1780", "1781", "1782", "1783",
"1784", "1785", "1786", "1787", "1788", "1789", "1790", "1791",
"1792", "1793", "1794", "1795", "1796", "1797", "1798", "1799",
"1800", "1801", "1802", "1803", "1804", "1805", "1806", "1807",
"1808", "1809", "1810", "1811", "1812", "1813", "1814", "1815",
"1816", "1817", "1818", "1819", "1820", "1821", "1822", "1823",
"1824", "1825", "1826", "1827", "1828", "1829", "1830", "1831",
"1832", "1833", "1834", "1835", "1836", "1837", "1838", "1839",
"1840", "1841", "1842", "1843", "1844", "1845", "1846", "1847",
"1848", "1849", "1850", "1851", "1852", "1853", "1854", "1855",
"1856", "1857", "1858", "1859"), NULL))
head就在这里
head(data)
[,1]
1 0.44757850
2 0.03776439
3 0.29382907
4 0.24773142
5 0.25845418
6 0.37072824
而tail就在这里
tail(data)
[,1]
1854 0.7709492
1855 0.5774108
1856 0.9998189
1857 0.2501537
1858 0.8386862
1859 0.2014170
如下所示，行名称从365跳到1490。
data[363:368,]
> data[363:368,]
363 364 365 1490 1491 1492
0.12406859 0.84881079 0.99996835 0.03776439 0.09075666 0.2222551
我想添加一个行名称向量，用于填充366：1489中缺少的数据，并使每个值为零。下面我创建了填充行ID以及0的矢量。
将这些“插入”到data表中的最佳方法是什么，以便行名称是连续的？
RowID <- 366:1489
Num <- rep(0, length(RowID))
提前致谢
答案 0 :(得分：2)
你可以用
来做newdata<- rbind(data[1:365,],something_new,data[366:nrow(data),]
通过定义newdata的rownames或预定义要“插入”的something_new矩阵的行名称来跟进。
答案 1 :(得分：2)
这有点笼统（你的方法适用于那个特定的差距）：
df <- data.frame(id=as.integer(rownames(data)),value=data)
all.rows <- data.frame(id=min(df$id):max(df$id),value=0)
new.df[which(all.rows$id %in% df$id),]$value <- df$value
new.df是一个包含所有可能行的模板，并初始化为0.然后根据df中的内容设置相应的行。
如果data非常大，data.tables可能会更快：
library(data.table)
dt <- data.table(id=as.integer(rownames(data)), value=data, key="id")
all.rows <- data.table(id=min(dt$id):max(dt$id), key="id")
new.dt <- dt[all.rows]
new.dt[is.na(value.V1),] <- 0L
答案 2 :(得分：1)
有点迟到的答案，但这里是使用dplyr的单线程，通过为观察编号添加一列来实现此目的。
library(dplyr)
left_join(data.frame(obs = 1:1859), data.frame(data, obs=as.numeric(rownames(data))))
当然，为了概括这一点，您可以将1:1859替换为nrow(mydf)或nrow(mymatrix)。
答案 3 :(得分：0)
感谢@Carl Witthoft让我朝着正确的方向前进。下面的代码就是我需要的。而不是“插入”数据。我通过rbind()添加了缺失的数据，然后使用了order().
#Make data.frame and change colname()
data <- as.data.frame(data)
head(data)
colnames(data) <- "new"
#Make new data to insert
RowID <- 366:1489
Num <- rep(0, length(RowID))
names(Num) <- RowID
Num <- as.data.frame(Num)
colnames(Num) <- "new"
head(Num)
#Order data by the created RowID column
newdata <- rbind(data, Num)
newdata$RowID <- as.numeric(rownames(newdata))
newdata <- newdata[order(newdata$RowID),]
head(newdata)
tail(newdata)