转置数据框

时间:2011-07-21 15:48:46

标签: r dataframe

我需要转置大型数据框,因此我使用了:

df.aree <- t(df.aree)
df.aree <- as.data.frame(df.aree)

这是我获得的:

df.aree[c(1:5),c(1:5)]
                         10428        10760        12148        11865
    name                M231T3       M961T5       M960T6      M231T19
    GS04.A        5.847557e+03 0.000000e+00 3.165891e+04 2.119232e+04
    GS16.A        5.248690e+04 4.047780e+03 3.763850e+04 1.187454e+04
    GS20.A        5.370910e+03 9.518396e+03 3.552036e+04 1.497956e+04
    GS40.A        3.640794e+03 1.084391e+04 4.651735e+04 4.120606e+04    

我的问题是我需要消除的新列名称(10428,10760,12148,11865),因为我需要将第一行用作列名。

我尝试使用col.names()功能但我没有得到我需要的功能。

你有什么建议吗?

修改

感谢您的建议!使用它我获得:

df.aree[c(1:5),c(1:5)]
                        M231T3       M961T5       M960T6      M231T19
    GS04.A        5.847557e+03 0.000000e+00 3.165891e+04 2.119232e+04
    GS16.A        5.248690e+04 4.047780e+03 3.763850e+04 1.187454e+04
    GS20.A        5.370910e+03 9.518396e+03 3.552036e+04 1.497956e+04
    GS40.A        3.640794e+03 1.084391e+04 4.651735e+04 4.120606e+04
    GS44.A        1.225938e+04 2.681887e+03 1.154924e+04 4.202394e+04

现在我需要在因子列中转换行名(GS ..)....

4 个答案:

答案 0 :(得分:91)

当名称列在其中时,最好不要转置data.frame - 然后所有数值都将转换为字符串!

这是一个将数字保持为数字的解决方案:

# first remember the names
n <- df.aree$name

# transpose all but the first column (name)
df.aree <- as.data.frame(t(df.aree[,-1]))
colnames(df.aree) <- n
df.aree$myfactor <- factor(row.names(df.aree))

str(df.aree) # Check the column types

答案 1 :(得分:46)

df.aree <- as.data.frame(t(df.aree))
colnames(df.aree) <- df.aree[1, ]
df.aree <- df.aree[-1, ]
df.aree$myfactor <- factor(row.names(df.aree))

答案 2 :(得分:33)

您可以使用transpose库中的data.table功能。简单快速的解决方案,将numeric值保持为numeric

library(data.table)

# get data
  data("mtcars")

# transpose
  t_mtcars <- transpose(mtcars)

# get row and colnames in order
  colnames(t_mtcars) <- rownames(mtcars)
  rownames(t_mtcars) <- colnames(mtcars)

答案 3 :(得分:1)

利用as.matrix

# keep the first column 
names <-  df.aree[,1]

# Transpose everything other than the first column
df.aree.T <- as.data.frame(as.matrix(t(df.aree[,-1])))

# Assign first column as the column names of the transposed dataframe
colnames(df.aree.T) <- names