[英]Indexing - Rearranging dataframe in R
Straight to the point, I have this data-frame which i want to re-number its index, if this is the right 'term' to use. 直截了当,要使用正确的“术语”,我有一个要重新编号其索引的数据框。
month1 ID
1 8.27 57
2 6.70 59
3 9.61 60
4 10.79 61
5 10.22 62
The catch is that these two columns come from different sql datasets that share some keys. 问题是这两列来自共享某些键的不同sql数据集。 And i need to re-index my table according to these keys. 而且我需要根据这些键重新索引我的表。
For example there is this expression for (i in val2$TMEST_ID[i] == val$ID[i])
containing those two above-mentioned keys. 例如,有一个表达式for (i in val2$TMEST_ID[i] == val$ID[i])
中的for (i in val2$TMEST_ID[i] == val$ID[i])
包含上述两个键。 The latest val$ID
is actually the ID
column already on my datafame. 最新的val$ID
实际上是我的数据资料库中已有的ID
列。
So how can i re-arrange my data so i can have month1
values according to the above relationship? 那么如何重新排列我的数据,以便根据上述关系获得month1
值?
Note that i am mostly interested in re-arranging rather than re-creating from start my dataframe. 请注意,我最感兴趣的是重新安排而不是从开始创建数据框开始重新创建。
I hope question is clear enough, if not please do ask for clarifications. 我希望这个问题已经足够清楚了,否则请要求澄清。 thanks 谢谢
I think this is what you want? 我想这就是你想要的吗?
vec <- c(8,6,4)
head(mtcars[order(mtcars$cyl, match(mtcars$cyl, vec)),])
mpg cyl disp hp drat wt qsec vs am gear carb
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
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