首先,您应该识别所有出现两次的列名duplicated
(不过,如果有任何有助于摆脱双重duplicated
声明的建议,我将不胜感激)。将这些列索引存储在数字向量中,以供进一步的工作步骤。
# Data generation
data <- data.frame(rbind(c("sd", "rt", "yu", "hg", "e", "po"),
c(23, .12, .34, .2, .98, .2),
c("vf", "qw", "we", "mi", "kl", "jk"),
c(.21, .33, .1, .234, .76, .54)))
names(data) <- c("Col1", "Col1", "Col2", "Col3", "Col4", "Col4")
# Identify duplicated column names
dupl.cols.ff <- duplicated(names(data))
dupl.cols.fl <- duplicated(names(data), fromLast = TRUE)
dupl.cols <- sort(unique(c(which(dupl.cols.ff), which(dupl.cols.fl))))
现在,可以根据已识别的列构建一个新的数据框,并将它们从您的初始数据框中删除。
# Build new dataframe with duplicated columns
data2 <- data[,dupl.cols]
names(data2) <- names(data)[dupl.cols]
data2
Col1 Col1 Col4 Col4
1 sd rt e po
2 23 0.12 0.98 0.2
3 vf qw kl jk
4 0.21 0.33 0.76 0.54
# Remove duplicated columns from initial dataframe
data <- data[,-dupl.cols]
data
Col2 Col3
1 yu hg
2 0.34 0.2
3 we mi
4 0.1 0.234