I am trying to write code based on a Group
variable, item.map
that has item information that includes an q-matrix showing which item is associated with which group.
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
In this item.map
group.1 had 3 items while group.2 has two items. Using this item.map I wanted to assign those items within the chunk of code below but I was not able to plug the item.map
information.
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$item.id, ") = 2PL",collapse="; ", sep=""),";"))
OUTPUT <- c(OUTPUT, output)
}
> OUTPUT
[1] "Group G1:"
[1] "Items = 21, 41, 61, 72;"
[1] "Codes(21) = 0(0), 1(1); Codes(41) = 0(0), 1(1); Codes(61) = 0(0), 1(1); Codes(72) = 0(0), 1(1);"
[1] "Model(21) = 2PL; Model(41) = 2PL; Model(61) = 2PL; Model(72) = 2PL;"
[1] "Group G2:"
[1] "Items = 21, 41, 61, 72;"
[1] "Codes(21) = 0(0), 1(1); Codes(41) = 0(0), 1(1); Codes(61) = 0(0), 1(1); Codes(72) = 0(0), 1(1);"
[1] "Model(21) = 2PL; Model(41) = 2PL; Model(61) = 2PL; Model(72) = 2PL;"
So, in the desired output, Group 1
should not have item 72
and Group 2 should not have items 21
and 61
information in the grouping chunk.
The desired output is:
> OUTPUT
[1] "Group G1:"
[1] "Items = 21, 41, 61;"
[1] "Codes(21) = 0(0), 1(1); Codes(41) = 0(0), 1(1); Codes(61) = 0(0), 1(1);"
[1] "Model(21) = 2PL; Model(41) = 2PL; Model(61) = 2PL;"
[1] "Group G2:"
[1] "Items = 41, 72;"
[1] "Codes(41) = 0(0), 1(1); Codes(72) = 0(0), 1(1);"
[1] "Model(41) = 2PL; Model(72) = 2PL;"
Does anyone have any ideas? Thanks
Here, we need to do the subset based on the 'group' columns (added as.logical(item.map[[paste0("group.", j)]])
)
OUTPUT <- c()
for(j in 1:length(Group)) {
tmp <- item.map$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)
}
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