我有一个长字符串,看起来像这样,除了在我显示双反斜杠的地方,实际上只有一个反斜杠。
char.string <- "BAT\\tUSA\\t\\tmedium\\t0.8872\\t9\\tOff production\\tCal1|Cal2\\r\\nGNAT\\tCAN\\t\\small\\t0.3824\\t11\\tOff production\\tCal3|Cal8|Cal9\\r\\n"
我尝试了以下方法。
df <- data.frame(do.call(rbind, strsplit(char.string, "\t", fixed=TRUE)))
df <- ldply (df, data.frame)
第一个返回向量。第二个返回数千行两列,其中一个由序号组成,第二个由所有数据组成。
我正在努力实现这一目标:
item = c("BAT", "GNAT")
origin = c("USA", "CAN")
size = c("medium", "small")
lot = c("0.8872", "0.3824")
mfgr = c("9", "11")
stat = c("Off production", "Off production")
line = c("Cal1|Cal2", "Cal3|Cal8|Cal9")
df = data.frame(item, origin, size, lot, mfgr, stat, line)
df
item origin size lot mfgr stat line
1 BAT USA medium 0.8872 9 Off production Cal1|Cal2
2 GNAT CAN small 0.3824 11 Off production Cal3|Cal8|Cal9
答案 0 :(得分:1)
read.table()
在这里实际上应该没问题,但是您有两个基本问题:
\\small
,而是small
\\t\\tmedium
,我想只想\\tmedium
"\\t"
与"\t"
尝试一下
# Start with your original input
char.string <- "BAT\\tUSA\\t\\tmedium\\t0.8872\\t9\\tOff production\\tCal1|Cal2\\r\\nGNAT\\tCAN\\t\\small\\t0.3824\\t11\\tOff production\\tCal3|Cal8|Cal9\\r\\n"
# Eliminate the typos
char.string <- sub("\\\\s", "s", char.string)
char.string <- sub("\\\\t\\\\t", "\\\\t", char.string)
# Convert \\t, etc. to actual tabs and newlines
char.string <- gsub("\\\\t", "\t", char.string)
char.string <- gsub("\\\\r", "\r", char.string)
char.string <- gsub("\\\\n", "\n", char.string)
# Read the data into a dataframe
df <- read.table(text = char.string, sep = "\t")
# Add the colnames
colnames(df) <- c("item", "origin", "size", "lot", "mfgr", "stat", "line")
# And take a look at the result
df
item origin size lot mfgr stat line
1 BAT USA medium 0.8872 9 Off production Cal1|Cal2
2 GNAT CAN small 0.3824 11 Off production Cal3|Cal8|Cal9
答案 1 :(得分:0)
我对您的 char.string 中的错别字有一些自由。
library(tidyverse)
char.string <- "BAT\\tUSA\\tmedium\\t0.8872\\t9\\tOff production\\tCal1|Cal2\\r\\nGNAT\\tCAN\\tsmall\\t0.3824\\t11\\tOff production\\tCal3|Cal8|Cal9\\n"
lapply(
str_split(gsub("\\\\n", "", char.string), "\\\\r")[[1]]
, function(x) {
y <- str_split(x, "\\\\t")[[1]]
data.frame(
item = y[1]
, origin = y[2]
, size = y[3]
, lot = y[4]
, mfgr = y[5]
, stat = y[6]
, line = y[7]
, stringsAsFactors = F
)
}) %>%
bind_rows()
item origin size lot mfgr stat line
1 BAT USA medium 0.8872 9 Off production Cal1|Cal2
2 GNAT CAN small 0.3824 11 Off production Cal3|Cal8|Cal9