正如@Roland 所指出的,您有 a matrix
,而不是 a data.frame
,它们有不同的默认print
方法。坚持使用matrix
,您可以quote = FALSE
显式设置print
或使用noquote
.
这是一个基本示例:
## Sample data
x <- matrix(c(17, "chr1", 0, "miRNA", 18, "chr1", 0, "miRNA"), nrow = 2,
byrow = TRUE, dimnames = list(
NULL, c("position", "chrom", "value", "label")))
## Default printing
x
# position chrom value label
# [1,] "17" "chr1" "0" "miRNA"
# [2,] "18" "chr1" "0" "miRNA"
## Two options to make the quotes disappear
print(x, quote = FALSE)
# position chrom value label
# [1,] 17 chr1 0 miRNA
# [2,] 18 chr1 0 miRNA
noquote(x)
# position chrom value label
# [1,] 17 chr1 0 miRNA
# [2,] 18 chr1 0 miRNA
此外,正如您自己发现的那样,将您的转换matrix
为 adata.frame
会使引号消失。如果每一列都是不同类型的数据(数字、字符、因子等), Adata.frame
是一种更适合保存数据的结构。但是,将 a 转换matrix
为 adata.frame
并不会自动为您处理列的转换。相反,您可以使用type.convert
(在创建data.frame
usingread.table
和 family 时也会使用):
y <- data.frame(x, stringsAsFactors = FALSE)
str(y)
# 'data.frame': 2 obs. of 4 variables:
# $ position: chr "17" "18"
# $ chrom : chr "chr1" "chr1"
# $ value : chr "0" "0"
# $ label : chr "miRNA" "miRNA"
y[] <- lapply(y, type.convert)
str(y)
# 'data.frame': 2 obs. of 4 variables:
# $ position: int 17 18
# $ chrom : Factor w/ 1 level "chr1": 1 1
# $ value : int 0 0
# $ label : Factor w/ 1 level "miRNA": 1 1
y
# position chrom value label
# 1 17 chr1 0 miRNA
# 2 18 chr1 0 miRNA