[英]Reshape2: melt all columns gives “Error in measure.attributes[[1]] : subscript out of bounds”
我有一些数据,如下所示:
> head(data, n=15L)
X0 X3 X6 X9 X12 X18 X21
chr5_89951600_89954799 18 26 19 22 29 30 23
chr16_70874600_70876999 15 26 25 14 18 23 16
chr2_51953000_51955199 7 26 7 14 26 17 33
chr3_143120600_143123799 25 40 35 23 25 28 31
chr15_34771400_34774599 27 42 31 21 24 15 34
chr2_13077000_13083999 36 73 52 48 73 54 53
chr8_117521600_117524199 27 30 21 28 13 21 20
chr9_89436400_89459799 154 196 189 252 205 223 160
chr1_215119400_215130199 59 89 54 87 96 96 92
chr17_30099400_30103199 17 41 29 34 21 24 33
chr20_3644600_3645999 12 13 11 21 9 15 14
chr14_92121200_92130399 55 92 74 82 79 73 70
chr2_50893800_50895599 8 15 17 20 22 14 22
chr1_214088600_214091799 19 20 32 36 27 16 24
chr20_49677800_49689199 121 112 98 90 75 93 65
我想将此数据帧制成长格式,以便可以为每个时间点制作一个带有一个框的箱线图。 问题是,当我尝试将其融化时
melt(data, id.vars = colnames(data))
R抱怨
"Error in measure.attributes[[1]] : subscript out of bounds"
。
我怎样才能解决这个问题?
我假设的rownames
至少部分重要。 如果您想在melt
数据的同时保留这些数据,请将data.frame
视为matrix
:
library(reshape2)
head(melt(as.matrix(mydf)))
# Var1 Var2 value
# 1 chr5_89951600_89954799 X0 18
# 2 chr16_70874600_70876999 X0 15
# 3 chr2_51953000_51955199 X0 7
# 4 chr3_143120600_143123799 X0 25
# 5 chr15_34771400_34774599 X0 27
# 6 chr2_13077000_13083999 X0 36
tail(melt(as.matrix(mydf)))
# Var1 Var2 value
# 100 chr17_30099400_30103199 X21 33
# 101 chr20_3644600_3645999 X21 14
# 102 chr14_92121200_92130399 X21 70
# 103 chr2_50893800_50895599 X21 22
# 104 chr1_214088600_214091799 X21 24
# 105 chr20_49677800_49689199 X21 65
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