英文:
How to rank values towards 0 as the lowest in R?
问题
我有一个包含负值和正值的向量。我想以这样的方式对它们进行排名，使接近0的值排名第一，而与0最远的值，无论符号如何，都应排名最高。以下是一个具有排名的示例数据：
数值 排名0.817305499 80.22799983 5-0.015915982 10.271941164 60.851973536 9-0.679487051 70.09247952 2-1.047086596 10-0.174033279 30.189823311 4
我该如何在R中实现这个目标？
英文:
I have a vector that contains both negative and positive values. I want to rank them in such a way that values close to 0 gets 1st rank and the values farthest from 0 irrespective of sign should get the highest rank. Here is one example data with ranks
Value Rank0.817305499 80.22799983 5-0.015915982 10.271941164 60.851973536 9-0.679487051 70.09247952 2-1.047086596 10-0.174033279 30.189823311 4
How can I achieve this in R?
答案1
得分: 2
你可以使用 order 按照 abs 进行排序：
> with(df, df[order(abs(Value)), ])Value Rank3 -0.01591598 17 0.09247952 29 -0.17403328 310 0.18982331 42 0.22799983 54 0.27194116 66 -0.67948705 71 0.81730550 85 0.85197354 98 -1.04708660 10
或者如果你只想创建一个新列，可以使用 rank：
> transform(df, Rank2 = rank(abs(Value)))Value Rank Rank21 0.81730550 8 82 0.22799983 5 53 -0.01591598 1 14 0.27194116 6 65 0.85197354 9 96 -0.67948705 7 77 0.09247952 2 28 -1.04708660 10 109 -0.17403328 3 310 0.18982331 4 4
英文:
You can use order by abs
> with(df,df[order(abs(Value)), ])Value Rank3 -0.01591598 17 0.09247952 29 -0.17403328 310 0.18982331 42 0.22799983 54 0.27194116 66 -0.67948705 71 0.81730550 85 0.85197354 98 -1.04708660 10
or rank if you just want to create a new column
> transform(df, Rank2 = rank(abs(Value)))Value Rank Rank21 0.81730550 8 82 0.22799983 5 53 -0.01591598 1 14 0.27194116 6 65 0.85197354 9 96 -0.67948705 7 77 0.09247952 2 28 -1.04708660 10 109 -0.17403328 3 310 0.18982331 4 4
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