Question

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. 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

我想按attr_importance的降序排序，但我也想保留相应的行名。

我试过了：

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

但它给了我一个“数字”背面。

我想要一个数据帧 - 按attr_importance排序，并且CORRESPONDING行名称保持不变。我怎么能这样做？

提前致谢。

Answer 1

以下是data.frame排序的重要比较：

How to sort a dataframe by column(s)?

使用我现在首选的解决方案arrange：

dd <- data.frame(b = factor(c("Hi", "Med", "Hi", "Low"), 
      levels = c("Low", "Med", "Hi"), ordered = TRUE),
      x = c("A", "D", "A", "C"), y = c(8, 3, 9, 9),
      z = c(1, 1, 1, 2))
library(plyr)
arrange(dd,desc(z),b)
    b x y z
1 Low C 9 2
2 Med D 3 1
3  Hi A 8 1
4  Hi A 9 1

Answer 2

由于您的data.frame只有一列，因此您需要设置drop=FALSE以防止删除维度：

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

Answer 3

rankdata.txt

regno   name           total    maths   science social cat
1   SUKUMARAN   400 78  89  73  S
2   SHYAMALA    432 65  79  87  S
3   MANOJ       500 90  129 78  C
4   MILYPAULOSE 383 59  88  65  G
5   ANSAL       278 39  77  60  O
6   HAZEENA     273 45  55  56  O
7   MANJUSHA    374 50  99  52  C
8   BILBU       408 81  97  72  S
9   JOSEPHROBIN 374 57  85  68  G
10  SHINY       381 70  79  70  S
z <- data.frame(rankdata)

z[with(z, order(-total+ maths)),]  #order function  maths group selection
z
z[with(z, order(name)),]  # sort on name
z

如何在R中对数据框进行排序

3 个答案: