除了通过捕获整个会话的重定向之外，还有没有办法在 R 会话期间启动和停止日志记录？为了澄清，我正在寻找类似于log usingStata 中的命令的东西。
问问题
32044 次
5 回答
16
为了使用 sink 完成答案
# copy the log to a text file
sink("./logofcode.txt")
Your R code(s) goes here
you can use a stored R code as well using source()
source("./XS_SPEC_CF.R",echo=T, max.deparse.length=1e3)
sink()
于 2015-06-03T09:26:14.317 回答
4
将整个历史savehistory(file)记录写为纯文本，或者，如果您尝试记录输出，请使用sink(file, split = TRUE).
于 2012-03-09T15:42:28.660 回答
3
除了sink功能之外，您还可以查看包中的txtStart相关功能TeachingDemos或包中的类似功能R2HTML（首先出现）。
于 2012-03-09T16:14:08.900 回答
1
还有一个名为logr的包，它允许您对记录的内容和时间进行大量控制，但比sink(). 这是一个例子：
library(logr)
# Open the log
log_open("mytest.log")
# Print text to the log
log_print("Here is a test log statement")
# Print a dataframe to the log
log_print(mtcars)
# Close the log
log_close()
这是生成的日志：
=========================================================================
Log Path: ./log/mytest.log
Working Directory: C:/packages/Testing/VS
User Name: User
R Version: 4.0.3 (2020-10-10)
Machine: BOSAK-HOME x86-64
Operating System: Windows 10 x64 build 18363
Log Start Time: 2021-01-24 21:13:55
=========================================================================
Here is a test log statement
NOTE: Log Print Time: 2021-01-24 21:13:56
NOTE: Elapsed Time in seconds: 1.07599902153015
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
NOTE: Data frame has 32 rows and 11 columns.
NOTE: Log Print Time: 2021-01-24 21:13:57
NOTE: Elapsed Time in seconds: 0.795979976654053
=========================================================================
Log End Time: 2021-01-24 21:14:06
Log Elapsed Time: 0 00:00:10
=========================================================================
于 2021-01-25T02:16:07.980 回答