折叠重复行值,并使用dplyr透视更宽的非重复行
我希望合并列值相同的行ID:Var2和不同的行Var3:Var4,我希望基于Var5变量扩展到唯一的列 我的数据如下:折叠重复行值,并使用dplyr透视更宽的非重复行,r,dplyr,R,Dplyr,我希望合并列值相同的行ID:Var2和不同的行Var3:Var4,我希望基于Var5变量扩展到唯一的列 我的数据如下: foo <- data.frame(ID = c(1,1,2,2),Var1 = c("A","A","C","C"),Var2 = c("B","B","D","D"),Var3 = c("X&quo
foo <- data.frame(ID = c(1,1,2,2),Var1 = c("A","A","C","C"),Var2 = c("B","B","D","D"),Var3 = c("X","Y","Z",NA),var4 = c("S","T","U","V"),Var5 = c("RF","SJ","RF","SJ"))
bar <- data.frame(ID = c(1,2),Var1 = c("A","C"), Var2 = c("B","D"), RF_Var3 = c("X","Z"), RF_Var4 = c("S","U"), SJ_var3 = c("Y","NA"),SJ_Var4 = c("T","V"))
我希望我的数据如下所示:
foo <- data.frame(ID = c(1,1,2,2),Var1 = c("A","A","C","C"),Var2 = c("B","B","D","D"),Var3 = c("X","Y","Z",NA),var4 = c("S","T","U","V"),Var5 = c("RF","SJ","RF","SJ"))
bar <- data.frame(ID = c(1,2),Var1 = c("A","C"), Var2 = c("B","D"), RF_Var3 = c("X","Z"), RF_Var4 = c("S","U"), SJ_var3 = c("Y","NA"),SJ_Var4 = c("T","V"))
SJ VAR和RF VAR必须一起订购,这一点很重要
任何帮助都将不胜感激。dplyr选项
给
ID Var1 Var2 RF_Var3 RF_var4 SJ_Var3 SJ_var4
<dbl> <chr> <chr> <chr> <chr> <chr> <chr>
1 1 A B X S Y T
2 2 C D Z U <NA> V
ID Var1 Var2 RF_Var3 RF_var4 SJ_Var3 SJ_var4
1: 1 A B X S Y T
2: 2 C D Z U <NA> V
给
ID Var1 Var2 RF_Var3 RF_var4 SJ_Var3 SJ_var4
<dbl> <chr> <chr> <chr> <chr> <chr> <chr>
1 1 A B X S Y T
2 2 C D Z U <NA> V
ID Var1 Var2 RF_Var3 RF_var4 SJ_Var3 SJ_var4
1: 1 A B X S Y T
2: 2 C D Z U <NA> V
dplyr选项
给
ID Var1 Var2 RF_Var3 RF_var4 SJ_Var3 SJ_var4
<dbl> <chr> <chr> <chr> <chr> <chr> <chr>
1 1 A B X S Y T
2 2 C D Z U <NA> V
ID Var1 Var2 RF_Var3 RF_var4 SJ_Var3 SJ_var4
1: 1 A B X S Y T
2: 2 C D Z U <NA> V
给
ID Var1 Var2 RF_Var3 RF_var4 SJ_Var3 SJ_var4
<dbl> <chr> <chr> <chr> <chr> <chr> <chr>
1 1 A B X S Y T
2 2 C D Z U <NA> V
ID Var1 Var2 RF_Var3 RF_var4 SJ_Var3 SJ_var4
1: 1 A B X S Y T
2: 2 C D Z U <NA> V
这里有一个多步骤的基本R方法,我确信可以使用重塑来简化:
这里有一个多步骤的基本R方法,我确信可以使用重塑来简化: