我有一列“ m”,其中包含与一个主题(ID)相关联的多个值。我需要将此列中的值分布在5个不同的列中,以获得下面提供的第二个表。我还需要将名称与这些列关联。
f <- read.table(header = TRUE, text = "
Scale ID m
1 1 1 0.4089795
2 1 1 0.001041055
3 1 1 0.1843616
4 1 1 0.03398921
5 1 1 FALSE
6 3 1 0.1179424
7 3 1 0.3569155
8 3 1 0.2006204
9 3 1 0.04024855
10 3 1 FALSE
")
这是输出的样子
ID Scale x y z a b
1 1 1 0.4089795 0.001041055 0.1843616 0.03398921 FALSE
2 1 3 0.1179424 0.356915500 0.2006204 0.04024855 FALSE
感谢您的帮助!
答案 0 :(得分:1)
df <- read.table(header = TRUE, text = "
Scale ID m
1 1 1 0.4089795
2 1 1 0.001041055
3 1 1 0.1843616
4 1 1 0.03398921
5 1 1 FALSE
6 3 1 0.1179424
7 3 1 0.3569155
8 3 1 0.2006204
9 3 1 0.04024855
10 3 1 FALSE
")
library(tidyverse)
df %>%
group_by(Scale, ID) %>% # for each combination of Scale and ID
mutate(names = c("x","y","z","a","b")) %>% # add column names
ungroup() %>% # forget the grouping
spread(-Scale, -ID) %>% # reshape data
select(Scale, ID, x, y, z, a, b) # order columns
# # A tibble: 2 x 7
# Scale ID x y z a b
# <int> <int> <fct> <fct> <fct> <fct> <fct>
# 1 1 1 0.4089795 0.001041055 0.1843616 0.03398921 FALSE
# 2 3 1 0.1179424 0.3569155 0.2006204 0.04024855 FALSE