R 从两个数据帧中提取公共值
我有一个由空间坐标X和Y组成的坐标系。物体的尺寸随着时间的推移而增大。在大小增加后，对象“a”现在有了新的空间坐标，我将其称为。两个对象的坐标值由X值的水平带组成；因此，对于每个对象，每个频带中的Y值都是相同的。我需要做的是创建一个新的数据框，包含对象“b”数据框的所有值，其中X值与对象“a”的值位于同一个封套内。把物体看成两个不同大小的脚印。我只需要两个脚印共用的数据。Y值项是每个数据帧中的公因数，但数据帧中每个Y值的X值范围不同 这是两个对象在打印时的样子。对象“a”是两个蓝色对象中较小的一个，对象“b”是黑色对象 根据下面的请求，这里是每个对象的绘图的前两行，在相同的Y值带上有多个X值。如果这是笨拙的，我道歉R 从两个数据帧中提取公共值,r,filter,range,R,Filter,Range,我有一个由空间坐标X和Y组成的坐标系。物体的尺寸随着时间的推移而增大。在大小增加后，对象“a”现在有了新的空间坐标，我将其称为。两个对象的坐标值由X值的水平带组成；因此，对于每个对象，每个频带中的Y值都是相同的。我需要做的是创建一个新的数据框，包含对象“b”数据框的所有值，其中X值与对象“a”的值位于同一个封套内。把物体看成两个不同大小的脚印。我只需要两个脚印共用的数据。Y值项是每个数据帧中的公因数，但数据帧中每个Y值的X值范围不同 这是两个对象在打印时的样子。对象“a”是两个蓝色对象中较小的一
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0.1011782 0.017375 178.242582
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0.1026782 0.017375 177.2184998
0.1031782 0.017375 176.8405855
0.1036782 0.017375 176.4469917
0.1041782 0.017375 176.0392815
0.1046782 0.017375 175.6190168
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0.1151782 0.017375 166.4881487
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data.table解决方案可能更优雅，但应该能够完成任务
library(data.table)
## setDT() necessary if a and b are standard R data.frame objects
setDT(a)
setDT(b)
## Make a range summary table for a, grouped by Y, and set the key, Y
a_range <- a[,.(min_X_a = min(X),
max_X_a = max(X)), keyby = .(Y)]
## Set key for b as Y
setkey(b,Y)
## Join the two tables, subset where the range conditions are met,
## and delete the min/max summary columns
c <- b[a_range][X > min_X_a
& X < max_X_a][,c("min_X_a","max_X_a") := NULL]
库（data.table）
##如果a和b是标准的R data.frame对象，则需要setDT（）
setDT（a）
setDT（b）
##为a创建范围汇总表，按Y分组，并设置键Y
a_范围您可以编辑您的问题以包含一些数据，例如，通过粘贴dput（a）
和dput（b）
（虽然这可能会对所有数据造成不便，具体取决于您有多少观察值，但您可以对a
和b
的子集执行此操作）完成。代码示例includeIt相当不错，比我所管理的更接近解决方案，但似乎仍有一些数据尚未传输。使用数据后包括点（c$X，c$Y，pch=19，cex=0.4，col=“red”）
。您提供的表解决方案显示缺少几行对象。你（任何人）能进一步说明吗？在阅读你的文章时，比较运算符应该是=
而不是
，也许这就是问题所在？如果你能提供一个更简单的例子，在a
中有3-5行，在b
中有3-5行，以及预期的结果，也许这可以让它更清楚一点。感谢你的帮助。为了避免问题中有大量数据，下面是一个excel电子表格的示例，其中包含三行数据。工作表显示a、b和c数据框的列。分析期间需要从b中排除的数据行显示为“删除线”文本。希望这能显示您的问题。请查看编辑后的答案，我们很乐意提供进一步帮助，但问题需要作为“最小可复制示例”呈现，以借鉴有关的优秀建议。
a$X a$Y a$res
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0.09129928 0.015375 156.033599
0.09179928 0.015375 158.22608
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0.11081068 0.017375 304.6270808
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0.12331068 0.017375 322.4427005
b$X b$Y b$res
0.0455699 0.015375 74.06596721
0.0460699 0.015375 76.4523308
0.0465699 0.015375 78.53219293
0.0470699 0.015375 80.33607583
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0.0480699 0.015375 83.22928022
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0.0490699 0.015375 85.34213004
0.0495699 0.015375 86.16467047
0.0500699 0.015375 86.85963646
0.0505699 0.015375 87.44652295
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0.0540699 0.015375 89.89624682
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library(data.table)
## setDT() necessary if a and b are standard R data.frame objects
setDT(a)
setDT(b)
## Make a range summary table for a, grouped by Y, and set the key, Y
a_range <- a[,.(min_X_a = min(X),
max_X_a = max(X)), keyby = .(Y)]
## Set key for b as Y
setkey(b,Y)
## Join the two tables, subset where the range conditions are met,
## and delete the min/max summary columns
c <- b[a_range][X > min_X_a
& X < max_X_a][,c("min_X_a","max_X_a") := NULL]
# Set 'a'
a <- data.frame(X = c(1,2,3,1,2),
Y = c(1,1,1,2,2),
res = c(1,2,3,4,5))
# Set 'b'
b <- data.frame(X = c(0.5, 1.0, 2.5, 2.0, 3.5),
Y = c(1,1,1,2,2),
res = c(6,7,8,9,10))
## Expected Result
c <- data.frame(X = c(1.0,2.5,2.0),
Y = c(1,1,2),
res = c(7,8,9))