我有一个数据集,该数据集由具有一些NA的矩阵组成。由此,我想创建一个存储非NA值的位置和值的数据框。通过this answer,which
可用于通过tempList <- which(!is.na(dummy),TRUE)
获取位置。
目前,我之后使用for循环。有没有更好的方法来添加值?
数据:
structure(c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, "#000000FF", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, "#000000FF", NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), .Dim = c(10L,
10L))
所需结果:
structure(list(x = c(8, 7), y = c(5, 7), colour = structure(c(1L,
1L), .Label = "#000000FF", class = "factor")), class = "data.frame", row.names = c(NA,
-2L))
当前代码:
tempList <- which(!is.na(dummy),TRUE)
changedDF <- data.frame(tempList[,1],tempList[,2])
names(changedDF) <- c("row","column")
for(i in 1:nrow(changedDF)){
changedDF$colour[i] <- dummy[changedDF[i,1],changedDF[i,2]]
}