问题
I am trying to transpose a data frame in R, but having very little luck.
The data frame contains an epigenetic data set, with 300,000+ CpG sites in the first column. The 74 additional columns are split between the control and experimental groups (cancer = 69, normal = 5).
I have converted the data frame into a matrix so I can transpose the data and convert it back to numerical values. However, every time I try to convert the data back to a data frame, it ends up as a list.
I'm attempting to do the following:
- Make the first column the headers.
Make the name of the headers the values in the first column (except for X, which I would like to remove).
data[1:10, 1:10]
X Tumor.33 Normal.01 Tumor.01 Tumor.34 Tumor.35 Tumor.02 Tumor.03 cg00000029 0.29224 0.32605 0.58762 0.32397 0.23482 0.24012 0.22941 cg00000108 0.91243 0.89785 0.92337 0.90080 0.91220 0.92256 0.92709 cg00000109 0.77676 0.73910 0.81545 0.73603 0.76276 0.85808 0.85142 cg00000165 0.34261 0.30960 0.56392 0.32363 0.33980 0.61755 0.70855 cg00000236 0.84688 0.80654 0.84423 0.80935 0.85600 0.87766 0.83509 cg00000289 0.61535 0.60874 0.62496 0.66421 0.60556 0.66824 0.65243 cg00000292 0.72491 0.63333 0.55031 0.69690 0.73547 0.71826 0.62223 cg00000321 0.31650 0.29422 0.37737 0.28428 0.28417 0.70437 0.34829 cg00000363 0.26309 0.31460 0.29135 0.26339 0.20117 0.60604 0.60548 cg00000622 0.03325 0.02190 0.03293 0.04032 0.02815 0.03494 0.04126
回答1:
Use the t() function to transpose a matrix or a data frame. In the latter case, row names become variable (column) names.
df > data[1:10, 1:10]
t(df)
Source: https://www.r-statistics.com/tag/transpose/
回答2:
data<- as.data.frame(t(data))
This ensures that the numeric values are not converted to string values.
来源:https://stackoverflow.com/questions/40579431/transposing-a-data-frame