R 试图一次使数据范围为4列

R 试图一次使数据范围为4列,r,dplyr,spread,R,Dplyr,Spread,我正在努力使我的数据比现在更广泛。我尝试使用spread,但我想一次传播4个变量。示例数据集是: df <- data.frame(Year <- c("2017","2018"), ID <- c(1,1), Score <- c("21","32"), Score2 <- c("24","20"),

我正在努力使我的数据比现在更广泛。我尝试使用spread,但我想一次传播4个变量。示例数据集是:

  df <- data.frame(Year <- c("2017","2018"),
                           ID <- c(1,1),
                           Score <- c("21","32"),
                           Score2 <- c("24","20"),
                           Score3 <- c("33", "26"),
                           Score4 <- c("25","32"))

     Year ID Score Score2 Score3 Score4
   1 2017  1    21     24     33     25
   2 2018  1    32     20     26     32
“第二年”栏不是完全必要的,但我想在2017年和2018年之间找到一些破译的方法


任何帮助或指导都将不胜感激!谢谢

我们可以从
数据表中使用
dcast

library(data.table)
dcast(setDT(df), ID ~ rowid(ID), value.var = setdiff(names(df), 'ID'), 
          sep="")[, ID :=  NULL][]
#  Year1 Year2 Score1 Score2 Score21 Score22 Score31 Score32 Score41 Score42
#1:  2017  2018     21     32      24      20      33      26      25      32

或者使用
base R

reshape(transform(df, tvar = seq_len(nrow(df))), 
        idvar = 'ID', direction = 'wide', timevar = 'tvar')[-1]
#   Year.1 Score.1 Score2.1 Score3.1 Score4.1 Year.2 Score.2 Score2.2 Score3.2 Score4.2
#1   2017      21       24       33       25   2018      32       20       26       32
数据
df另一种方法可能是

库(tidyverse)
库(splitstackshape)
df%>%
分组依据(ID)%>%
汇总所有(funs(toString))%>%
cSplit(名称(.)[-1],“,”)
输出为:

   ID Year_1 Year_2 Score_1 Score_2 Score2_1 Score2_2 Score3_1 Score3_2 Score4_1 Score4_2
1:  1   2017   2018      21      32       24       20       33       26       25       32
df <- data.frame(Year = c("2017","2018"),
                 ID = c(1,1),
                 Score = c("21","32"),
                 Score2 = c("24","20"),
                 Score3 = c("33", "26"),
                 Score4 = c("25","32"))
样本数据:

   ID Year_1 Year_2 Score_1 Score_2 Score2_1 Score2_2 Score3_1 Score3_2 Score4_1 Score4_2
1:  1   2017   2018      21      32       24       20       33       26       25       32
df <- data.frame(Year = c("2017","2018"),
                 ID = c(1,1),
                 Score = c("21","32"),
                 Score2 = c("24","20"),
                 Score3 = c("33", "26"),
                 Score4 = c("25","32"))

df是抱歉,我没有添加ID,假设有一个ID列,两行的ID都是“1”