在 R 中旋转表

问题描述

我该如何融化/重塑/旋转我的桌子：

          profit     lost      obs    fc.mape
mean    3724.743 804.1835 427.8899 0.21037696
std.dev  677.171 406.1391 372.5544 0.06072549

为此：

         mean   std.dev
profit   x
lost     x
obs      x
fc.mape  x

解决方法

这是一个 tidyverse 解决方案。我觉得它太复杂了，但它有效。也许还有更简单的。

library(dplyr)
library(tidyr)

df1 %>%
  mutate(id = row.names(.)) %>%
  pivot_longer(
    cols = -id,names_to = "stat"
  ) %>%
  group_by(id) %>%
  mutate(n = row_number()) %>%
  ungroup() %>%
  pivot_wider(
    id_cols = c(n,stat),names_from = id,values_from = value
  ) %>%
  select(-n)
## A tibble: 4 x 3
#  stat        mean  std.dev
#  <chr>      <dbl>    <dbl>
#1 profit  3725.    677.    
#2 lost     804.    406.    
#3 obs      428.    373.    
#4 fc.mape    0.210   0.0607

数据

df1 <-
structure(list(profit = c(3724.743,677.171),lost = c(804.1835,406.1391),obs = c(427.8899,372.5544),fc.mape = c(0.21037696,0.06072549)),class = "data.frame",row.names = c("mean","std.dev"))