首页 > 解决方案 > 在 R 中创建“数据透视表”,每行填充因子值

问题描述

我想像这样输入日期:

library(plyr)
names(ChickWeight) <- tolower(names(ChickWeight))
ChickWeight$diet.name <- as.factor(revalue(ChickWeight$diet, c("1" = "Grain", "2" = "Grubs", "3" = "Scraps", "4" = "Free Range")))

创建:

> head(ChickWeight)
  weight time chick diet diet.name
1     42    0     1    1     Grain
2     51    2     1    1     Grain
3     59    4     1    1     Grain
4     64    6     1    1     Grain
5     76    8     1    1     Grain
6     93   10     1    1     Grain

> tail(ChickWeight)
    weight time chick diet  diet.name
573    155   12    50    4 Free Range
574    175   14    50    4 Free Range
575    205   16    50    4 Free Range
576    234   18    50    4 Free Range
577    264   20    50    4 Free Range
578    264   21    50    4 Free Range

从这些数据中,提取另一组数据 ( chick.feed),如下所示:

chick   diet.name
    1       Grain
    2       Grain
    .           .
    .           .
    .           .
   21       Grubs
   22       Grubs
    .           .
    .           .
    .           .
   31      Scraps
   32      Scraps
    .           .
    .           .
    .           .
   49  Free Range
   50  Free Range

即,我想创建一个“数据透视表” chick.feed(.chickChickWeight

(我的问题似乎与关于从长数据转换为宽数据的问题相似但不完全相同。)

标签: rdplyrpivotreshapetidyr

解决方案


无需重塑。只需抓取所需的列并保留唯一的行:

unique(ChickWeight[ , c("chick", "diet.name")])

推荐阅读