调用arrange后合并两个数据帧时出错
我有两个名为“a1”和“a2”的数据帧,是我通过read.csv引入的,每个数据帧中都有一个名为“time”的列,我使用strtime将类设置为POSIXlt调用arrange后合并两个数据帧时出错,r,merge,dataframe,R,Merge,Dataframe,我有两个名为“a1”和“a2”的数据帧,是我通过read.csv引入的,每个数据帧中都有一个名为“time”的列,我使用strtime将类设置为POSIXlt 在尝试合并数据帧之前,我调用了arrange(a1,time)和arrange(a2,time)以获得从最旧到最新的顺序。然后我尝试调用ahu1,不管怎样,这两个数据对象的拖数完全相同,日期时间也相同。因此,使用cbind()将是一个简单的步骤。时间列不匹配 cbind(a1, a2[-1]) tim
在尝试合并数据帧之前,我调用了
arrange(a1,time)
和arrange(a2,time)
以获得从最旧到最新的顺序。然后我尝试调用ahu1,不管怎样,这两个数据对象的拖数完全相同,日期时间也相同。因此,使用cbind()将是一个简单的步骤。时间
列不匹配
cbind(a1, a2[-1])
time status.sf status.rf cfm.oa cfm.ra temp.ra temp.ma temp.sa
1 2014-02-24 10:00:00 TRUE TRUE 1397.6 2364.8 68.6 65.6 51.1
2 2014-02-24 10:15:00 TRUE TRUE 343.0 3067.4 67.6 65.8 66.4
3 2014-02-24 10:30:00 TRUE TRUE 1265.0 2073.9 69.1 66.8 68.6
4 2014-02-24 10:45:00 TRUE TRUE 1500.0 2727.4 69.7 67.9 51.2
5 2014-02-24 11:00:00 TRUE TRUE 744.5 2561.2 67.9 66.5 67.3
6 2014-02-24 11:15:00 TRUE TRUE 1261.6 2032.4 69.0 68.2 68.0
ductstatic fault.hum fltpress fault.smoke occpt max.dmprpos mode.ecm
1 0.25 FALSE 0.15 FALSE TRUE 77 TRUE
2 0.25 FALSE 0.12 FALSE TRUE 63 TRUE
3 0.25 FALSE 0.12 FALSE TRUE 71 TRUE
4 0.47 FALSE 0.22 FALSE TRUE 93 TRUE
5 0.27 FALSE 0.13 FALSE TRUE 63 TRUE
6 0.25 FALSE 0.13 FALSE TRUE 71 TRUE
mode.dehum spt.sa spt.ductstatic mode.co2 mode.hum max.runreqt max.vavco2
1 TRUE 53 0.27 FALSE FALSE 0 427
2 FALSE 66 0.25 FALSE FALSE 0 429
3 FALSE 66 0.25 FALSE FALSE 0 427
4 FALSE 66 0.57 FALSE FALSE 0 414
5 FALSE 66 0.25 FALSE FALSE 0 417
6 FALSE 66 0.25 FALSE FALSE 0 406
max.vavrhv cfm.vavtot spt.cfm.ra
1 59 2711 2461
2 56.4 2383.6 2133
3 54.9 2395.8 2144.3
4 56.1 3702.9 3433.7
5 53.3 2449.8 2198.8
6 50.1 2388.4 2139.3
您能否在dput(head(a1))
和dput(head(a2))
的结果中进行编辑,这将导致您的问题?(另外,请不要担心我删掉了你文章的第一句话;Stack Exchange的政策就是避免这样的句子)。最好将代码显示在多行中(您可以用四个字符缩进,就像我在处理错误消息时所做的那样),而不是将其与文本混合在一起。排列从何而来?似乎不在基础中。它来自plyr(应该在上面的问题中添加library(plyr)
)。但是,问题没有明确说明他是否做了a1?整理
:在指定的包和库中没有“整理”的文档:您可以尝试“整理”?plyr::整理
将为您提供帮助文件
structure(list(time = structure(list(sec = c(0, 0, 0, 0, 0, 0), min = c(0L, 15L, 30L, 45L, 0L, 15L), hour = c(10L, 10L, 10L, 10L, 11L, 11L), mday = c(24L, 24L, 24L, 24L, 24L, 24L), mon = c(1L,
1L, 1L, 1L, 1L, 1L), year = c(114L, 114L, 114L, 114L, 114L, 114L), wday = c(1L, 1L, 1L, 1L, 1L, 1L), yday = c(54L, 54L, 54L, 54L, 54L, 54L), isdst = c(0L, 0L, 0L, 0L, 0L, 0L), zone = c("MST",
"MST", "MST", "MST", "MST", "MST"), gmtoff = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_)), .Names = c("sec", "min", "hour", "mday", "mon", "year", "wday", "yday", "isdst", "zone", "gmtoff"), class = c("POSIXlt", "POSIXt")), status.sf = c("TRUE", "TRUE", "TRUE", "TRUE", "TRUE", "TRUE"), status.rf = c("TRUE", "TRUE", "TRUE", "TRUE", "TRUE", "TRUE"), cfm.oa = c(1397.6, 343, 1265, 1500, 744.5, 1261.6), cfm.ra = c("2364.8", "3067.4", "2073.9", "2727.4", "2561.2", "2032.4"), temp.ra = c(68.6, 67.6, 69.1, 69.7, 67.9, 69), temp.ma = c(65.6, 65.8, 66.8, 67.9, 66.5, 68.2), temp.sa = c(51.1, 66.4, 68.6, 51.2, 67.3, 68), ductstatic = c(0.25, 0.25, 0.25, 0.47, 0.27, 0.25), fault.hum = c("FALSE", "FALSE", "FALSE", "FALSE", "FALSE", "FALSE"), fltpress = c(0.15, 0.12, 0.12, 0.22, 0.13, 0.13), fault.smoke = c("FALSE", "FALSE", "FALSE", "FALSE", "FALSE", "FALSE")), .Names = c("time", "status.sf", "status.rf", "cfm.oa", "cfm.ra", "temp.ra", "temp.ma", "temp.sa",
"ductstatic", "fault.hum", "fltpress", "fault.smoke"), row.names = c(NA, 6L), class = "data.frame")
structure(list(time = structure(list(sec = c(0, 0, 0, 0, 0, 0), min = c(0L, 15L, 30L, 45L, 0L, 15L), hour = c(10L, 10L, 10L, 10L, 11L, 11L), mday = c(24L, 24L, 24L, 24L, 24L, 24L), mon = c(1L, 1L, 1L, 1L, 1L, 1L), year = c(114L, 114L, 114L, 114L, 114L, 114L), wday = c(1L, 1L, 1L, 1L, 1L, 1L), yday = c(54L, 54L, 54L, 54L, 54L, 54L), isdst = c(0L, 0L, 0L, 0L, 0L, 0L), zone = c("MST", "MST", "MST", "MST", "MST", "MST"), gmtoff = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_)), .Names = c("sec", "min", "hour", "mday", "mon", "year", "wday", "yday", "isdst", "zone", "gmtoff"), class = c("POSIXlt", "POSIXt")), occpt = c("TRUE", "TRUE", "TRUE", "TRUE", "TRUE", "TRUE"), max.dmprpos = c(77, 63, 71, 93, 63, 71), mode.ecm = c("TRUE", "TRUE", "TRUE", "TRUE", "TRUE", "TRUE"), mode.dehum = c("TRUE", "FALSE", "FALSE", "FALSE", "FALSE", "FALSE"), spt.sa = c("53", "66", "66", "66", "66", "66"
), spt.ductstatic = c("0.27", "0.25", "0.25", "0.57", "0.25", "0.25"), mode.co2 = c("FALSE", "FALSE", "FALSE", "FALSE", "FALSE", "FALSE"), mode.hum = c("FALSE", "FALSE", "FALSE", "FALSE", "FALSE", "FALSE"), max.runreqt = c("0", "0", "0", "0", "0", "0"), max.vavco2 = c("427", "429", "427", "414", "417", "406"), max.vavrhv = c("59", "56.4", "54.9", "56.1", "53.3", "50.1"), cfm.vavtot = c("2711", "2383.6",
"2395.8", "3702.9", "2449.8", "2388.4"), spt.cfm.ra = c("2461", "2133", "2144.3", "3433.7", "2198.8", "2139.3")), .Names = c("time", "occpt", "max.dmprpos", "mode.ecm", "mode.dehum", "spt.sa", "spt.ductstatic", "mode.co2", "mode.hum", "max.runreqt", "max.vavco2", "max.vavrhv", "cfm.vavtot", "spt.cfm.ra"), row.names = c(NA, 6L), class = "data.frame")
cbind(a1, a2[-1])
time status.sf status.rf cfm.oa cfm.ra temp.ra temp.ma temp.sa
1 2014-02-24 10:00:00 TRUE TRUE 1397.6 2364.8 68.6 65.6 51.1
2 2014-02-24 10:15:00 TRUE TRUE 343.0 3067.4 67.6 65.8 66.4
3 2014-02-24 10:30:00 TRUE TRUE 1265.0 2073.9 69.1 66.8 68.6
4 2014-02-24 10:45:00 TRUE TRUE 1500.0 2727.4 69.7 67.9 51.2
5 2014-02-24 11:00:00 TRUE TRUE 744.5 2561.2 67.9 66.5 67.3
6 2014-02-24 11:15:00 TRUE TRUE 1261.6 2032.4 69.0 68.2 68.0
ductstatic fault.hum fltpress fault.smoke occpt max.dmprpos mode.ecm
1 0.25 FALSE 0.15 FALSE TRUE 77 TRUE
2 0.25 FALSE 0.12 FALSE TRUE 63 TRUE
3 0.25 FALSE 0.12 FALSE TRUE 71 TRUE
4 0.47 FALSE 0.22 FALSE TRUE 93 TRUE
5 0.27 FALSE 0.13 FALSE TRUE 63 TRUE
6 0.25 FALSE 0.13 FALSE TRUE 71 TRUE
mode.dehum spt.sa spt.ductstatic mode.co2 mode.hum max.runreqt max.vavco2
1 TRUE 53 0.27 FALSE FALSE 0 427
2 FALSE 66 0.25 FALSE FALSE 0 429
3 FALSE 66 0.25 FALSE FALSE 0 427
4 FALSE 66 0.57 FALSE FALSE 0 414
5 FALSE 66 0.25 FALSE FALSE 0 417
6 FALSE 66 0.25 FALSE FALSE 0 406
max.vavrhv cfm.vavtot spt.cfm.ra
1 59 2711 2461
2 56.4 2383.6 2133
3 54.9 2395.8 2144.3
4 56.1 3702.9 3433.7
5 53.3 2449.8 2198.8
6 50.1 2388.4 2139.3