如何在R中对数据框进行排序 [英] How to sort a data frame in R

问题描述

我是R的新手，想要对称为权重的数据框进行排序。以下是详细信息：

 > str（weights）
'data.frame'：57 obs。的1个变量：
 $ attr_importance：num 0.04963 0.09069 0.09819 0.00712 0.12543 ... 
 
>名称（重量）
 [1]attr_importance
 
>昏暗（重量）
 [1] 57 1 
 
>头（重量）
 attr_importance 
 make 0.049630556 
地址0.090686474 
全部0.098185517 
 num3d 0.007122618 
我们的0.125433292 
超过0.075182467 
  

我想按照attr_importance的递减顺序排序，但是我也想保留相应的行名。

我试过：

 >权重[order（-weights $ attr_importance），] 
  

但它给了我一个数字的回来。

我想要一个数据框，它是由attr_importance排序的，并且具有完整的CORRESPONDING行名称。如何做到这一点？

提前感谢

解决方案

由于您的data.frame只有一列，您需要设置 drop = FALSE 以防止维度被删除：

  weight [order（-weights $ attr_importance）,, drop = FALSE] 
＃attr_importance 
＃我们的0.125433292 
＃全部0.098185517 
＃address 0.090686474 
＃over 0.075182467 
＃make 0.049630556 
＃num3d 0.007122618 
  

I am new to R, and want to sort a data frame called "weights". Here are the details:

>str(weights)
'data.frame':   57 obs. of  1 variable:
 $ attr_importance: num  0.04963 0.09069 0.09819 0.00712 0.12543 ...

> names(weights)
  [1] "attr_importance"

> dim(weights)
  [1] 57  1

> head(weights)
        attr_importance
make        0.049630556
address     0.090686474
all         0.098185517
num3d       0.007122618
our         0.125433292
over        0.075182467

I want to sort by decreasing order of attr_importance BUT I want to preserve the corresponding row names also.

I tried:

> weights[order(-weights$attr_importance),]

but it gives me a "numeric" back.

I want a data frame back - which is sorted by attr_importance and has CORRESPONDING row names intact. How can I do this?

Thanks in advance.

解决方案

Since your data.frame only has one column, you need to set drop=FALSE to prevent the dimensions from being dropped:

weights[order(-weights$attr_importance),,drop=FALSE]
#         attr_importance
# our         0.125433292
# all         0.098185517
# address     0.090686474
# over        0.075182467
# make        0.049630556
# num3d       0.007122618

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