我有tibble()（data.frame）非常大，我用write_tsv()保存，并想用read_tsv()阅读。我正在使用所有默认选项。
但是，read_tsv()会发出一堆警告（请参阅下面的示例）。我可以使用什么策略来使其工作？
（也尝试了write_csv() - ＆gt; read_csv()但同样的问题）。
我到目前为止的解决方案是使用read.csv(..., sep="\t")，但read.csv()要慢得多。
> class(PulsarAnnotated2)
[1] "tbl_df" "tbl" "data.frame"
> write_tsv(PulsarAnnotated2, path="PulsarAnnotated2.txt")
> PAnnotated <- read_tsv("PulsarAnnotated2.txt")
Parsed with column specification:
cols(
.default = col_integer(),
ait_response = col_character(),
sex = col_logical(),
rep.delta_npt_score = col_double(),
rep.rqlq_score_at_inclusion = col_double(),
rep.rqlq_score_at_evaluation = col_double(),
aep.delta_csm_score = col_double(),
DataSet = col_character(),
sampling_date = col_character(),
ait_allergen = col_character(),
R.FileName = col_character(),
PG.ProteinAccessions = col_character(),
PG.ProteinGroups = col_character(),
PG.Quantity = col_double(),
EG.iRTPredicted = col_double(),
EG.IsDecoy = col_character(),
EG.ModifiedSequence = col_character(),
EG.PrecursorId = col_character(),
EG.StrippedSequence = col_character(),
EG.Qvalue = col_double(),
EG.Svalue = col_double()
# ... with 7 more columns
)
See spec(...) for full column specifications.
|===============================================================================================================================================| 100% 291 MB
Warning: 1134671 parsing failures.
row # A tibble: 5 x 5 col row col expected actual file expected <int> <chr> <chr> <chr> <chr> actual 1 16609 sex 1/0/T/F/TRUE/FALSE M 'PulsarAnnotated2.txt' file 2 16609 rep.delta_csm_score no trailing characters .52 'PulsarAnnotated2.txt' row 3 16610 sex 1/0/T/F/TRUE/FALSE M 'PulsarAnnotated2.txt' col 4 16610 rep.delta_csm_score no trailing characters .52 'PulsarAnnotated2.txt' expected 5 16611 sex 1/0/T/F/TRUE/FALSE M 'PulsarAnnotated2.txt'
... ............................ [... truncated]
Warning message:
In rbind(names(probs), probs_f) :
number of columns of result is not a multiple of vector length (arg 1)