我有这个数据框（参见下面的dput），其中有不同的列，每个列在第一行都有一个标识符/名称。我想将第一行中具有相同值的所有列组合到一列。因此，最终结果将是具有十二个列（第一行中的唯一值）的数据帧，其中包含行1中具有相同名称的所有值。
我尝试了group_by以及聚集，但两者都不是我想要的。
structure(list(V1 = structure(c(13L, 10L, 2L, 12L, 1L, 6L, 11L,
7L, 8L, 5L, 4L, 3L, 9L), .Label = c("146", "173", "213", "422",
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V42 = structure(c(3L, 2L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 2L,
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V44 = structure(c(9L, 10L, 10L, 10L, 4L, 1L, 6L, 5L, 8L,
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V45 = structure(c(9L, 10L, 10L, 10L, 7L, 2L, 6L, 1L, 4L,
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V46 = structure(c(13L, 9L, 1L, 12L, 7L, 6L, 11L, 4L, 5L,
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V63 = structure(c(10L, 9L, 9L, 9L, 6L, 8L, 4L, 5L, 7L, 9L,
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V85 = structure(c(6L, 3L, 2L, 1L, 5L, 5L, 5L, 5L, 5L, 4L,
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V87 = structure(c(6L, 2L, 1L, 4L, 5L, 5L, 5L, 5L, 5L, 3L,
5L, 5L, 5L), .Label = c("10000", "10000,00", "2110", "331",
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"R848"), class = "factor"), V90 = structure(c(10L, 9L, 9L,
9L, 5L, 8L, 2L, 4L, 7L, 9L, 6L, 3L, 1L), .Label = c("148",
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1L, 9L, 2L, 8L, 6L, 5L, 12L, 3L, 11L), .Label = c("12,98",
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V92 = structure(c(13L, 11L, 8L, 7L, 1L, 10L, 3L, 2L, 9L,
6L, 12L, 4L, 5L), .Label = c("1,82", "116", "181", "19,69",
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V95 = structure(c(7L, 5L, 4L, 3L, 1L, 1L, 1L, 1L, 1L, 2L,
6L, 1L, 1L), .Label = c(" NaN", "162", "164", "5724", "737",
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5L, 4L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 6L, 1L, 1L), .Label = c(" NaN",
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V97 = structure(c(13L, 10L, 3L, 12L, 8L, 6L, 7L, 4L, 2L,
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11L, 9L, 7L, 3L, 2L, 6L, 1L, 4L, 10L, 8L, 5L), .Label = c("12410",
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9L, 12L, 2L, 8L, 4L, 5L, 1L, 7L, 6L, 3L, 10L, 11L), .Label = c("1449",
"176", "1839", "1879", "2235", "3,38", "3625", "366", "45,57",
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8L, 2L, 7L, 3L, 4L, 5L, 9L, 10L, 8L, 1L, 11L, 6L), .Label = c("11,68",
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"518", "6,81", "S. aureus"), class = "factor"), V103 = structure(c(6L,
2L, 1L, 3L, 5L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L), .Label = c("10000",
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V104 = structure(c(6L, 1L, 4L, 2L, 5L, 5L, 5L, 5L, 5L, 3L,
5L, 5L, 5L), .Label = c("1123", "699", "79,96", "8006", "NaN",
"S. aureus"), class = "factor"), V105 = structure(c(6L, 2L,
1L, 3L, 5L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L), .Label = c("10000",
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V106 = structure(c(13L, 3L, 2L, 11L, 10L, 4L, 12L, 8L, 1L,
5L, 9L, 6L, 7L), .Label = c("1291", "1581", "166", "1973",
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"S. aureus"), class = "factor")), class = "data.frame", row.names = c(NA,
-13L))
谢谢你的时间。
# set first values as column names
names(df) <- as.character(unlist(df[1,]))
# remove first values
df <- df[-1,]
# convert all columns to numeric (convert to character and remove commas first)
df[] <- lapply(df, function(x) as.numeric(gsub(',', '', x)))
# combine same-name columns to create new data frame
df2 <- as.data.frame(lapply(split.default(df, names(df)), unlist))
rownames(df2) <- NULL