转置数据帧 [英] Transpose a data frame
问题描述
我需要转置一个大数据框,所以我使用了:
I need to transpose a large data frame and so I used:
df.aree <- t(df.aree)
df.aree <- as.data.frame(df.aree)
这就是我得到的:
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
我的问题是新的列名(10428、10760、12148 ,11865),因为我需要使用第一行作为列名,因此需要消除。
My problem is the new column names(10428, 10760, 12148, 11865) that I need to eliminate because I need to use the first row as column names.
我尝试使用 col.names()
函数,但我没有获得所需的东西。
I tried with col.names()
function but I haven't obtain what I need.
您有任何建议吗?
编辑
感谢您的建议!!!使用它,我得到:
Thanks for your suggestion!!! Using it I obtain:
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
现在我需要转换因子列中的行名(GS ..)。...
Now I need to transform the row names(GS..) in a factor column....
推荐答案
您最好不要在名称列位于其中的情况下转置data.frame -然后所有数字值都将转换为字符串!
You'd better not transpose the data.frame while the name column is in it - all numeric values will then be turned into strings!
这里是一种将数字保留为数字的解决方案:
Here's a solution that keeps numbers as numbers:
# 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
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