通过考虑 r (1) 中的分组 Q 矩阵来操纵字符向量

Manipulating a character vector by considering a grouping Q-matrix in r (1)

我正在尝试编写基于 Group 变量的代码,item.map 具有项目信息,其中包括一个 q 矩阵,显示哪个项目与哪个组相关联。

Group <- c(1,2)
item.map <- data.frame(
  item.id = c(21,41,61,72),
  group.1 = c(1,1,1,0),
  group.2 = c(0,1,0,1)
)

> item.map
  item.id group.1 group.2
1      21       1       0
2      41       1       1
3      61       1       0
4      72       0       1

在此 item.map 中,group.1 有 3 个项目,而 group.2 有两个项目。使用此 item.map 我想在下面的代码块中分配这些项目,但我无法插入 item.map 信息。

OUTPUT <- as.data.frame(c())
for(j in 1:length(Group)) {
  
  output <- c(paste0("Group G",unique(Group)[j],":"),
             paste0("Items = ",paste0(item.map$item.id, collapse=", "), ";"), #Items
             paste0(paste0("Codes(", item.map$item.id, ") = 0(0), 1(1)",collapse="; ", sep=""),";"), #Codes
             paste0(paste("Model(", item.map$item.id, ") = 2PL",collapse="; ", sep=""),";"))
  
  
  OUTPUT <- c(OUTPUT, output)
  
}

> OUTPUT
[1] "Group G1:"
[1] "Items = 21, 41, 61, 72;"
[1] "Codes(21) = 0(0), 1(1); Codes(41) = 0(0), 1(1); Codes(61) = 0(0), 1(1); Codes(72) = 0(0), 1(1);"
[1] "Model(21) = 2PL; Model(41) = 2PL; Model(61) = 2PL; Model(72) = 2PL;"

[1] "Group G2:"
[1] "Items = 21, 41, 61, 72;"
[1] "Codes(21) = 0(0), 1(1); Codes(41) = 0(0), 1(1); Codes(61) = 0(0), 1(1); Codes(72) = 0(0), 1(1);"
[1] "Model(21) = 2PL; Model(41) = 2PL; Model(61) = 2PL; Model(72) = 2PL;"

因此,在所需的输出中,Group 1 不应包含项目 72 并且组 2 不应在分组块中包含项目 2161 信息。

The desired output is:
    > OUTPUT
    [1] "Group G1:"
    [1] "Items = 21, 41, 61;"
    [1] "Codes(21) = 0(0), 1(1); Codes(41) = 0(0), 1(1); Codes(61) = 0(0), 1(1);"
    [1] "Model(21) = 2PL; Model(41) = 2PL; Model(61) = 2PL;"
    
    [1] "Group G2:"
    [1] "Items = 41, 72;"
    [1] "Codes(41) = 0(0), 1(1); Codes(72) = 0(0), 1(1);"
    [1] "Model(41) = 2PL; Model(72) = 2PL;"

有人有什么想法吗? 谢谢

这里,我们需要根据'group'列做子集(添加as.logical(item.map[[paste0("group.", j)]])

OUTPUT <- c()
for(j in 1:length(Group)) {
  tmp <- item.map$item.id[as.logical(item.map[[paste0("group.", j)]])]
  output <- c(paste0("Group G",unique(Group)[j],":"),
     paste0("Items = ",
       paste0(tmp, collapse=", "), ";"), #Items
        paste0(paste0("Codes(", tmp, ") = 0(0), 1(1)",
                 collapse="; ", sep=""),";"), #Codes
        paste0(paste("Model(", tmp, ") = 2PL",collapse="; ", sep=""),";"))
  
  
  OUTPUT <- c(OUTPUT, output)
  }