Nothing
knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
Note that the log_print()
function has two aliases: put()
and sep()
.
The put()
function is exactly like log_print()
, but it is shorter
and easier to type.
The sep()
function is a slight variant of log_print()
that prints separators above and below the message text. It is useful for
creating sections in your log. Breaking your log into sections makes it easier
to read and understand.
Here is example showing these aliases at work:
library(logr) library(magrittr) # Create temp file location tmp <- file.path(tempdir(), "test.log") # Open log lf <- log_open(tmp) # Create log section sep("Illustration of put() and sep()") # Send message to log put("High Mileage Cars Subset") # Perform operations hmc <- subset(mtcars, mtcars$mpg > 20) %>% put() # prints pipeline result to log # Close log log_close() # View results writeLines(readLines(lf))
Here is the log from the above alias example:
========================================================================= Log Path: C:/Users/User/AppData/Local/Temp/RtmpioAPbg/log/test.log Working Directory: C:/packages/Testing User Name: User R Version: 4.0.3 (2020-10-10) Machine: DESKTOP-1F27OR8 x86-64 Operating System: Windows 10 x64 build 18363 Base Packages: stats graphics grDevices utils datasets methods base Other Packages: logr_1.2.7 dplyr_1.0.7 Log Start Time: 2020-12-21 14:18:33 ========================================================================= ========================================================================= Illustration of put() and sep() ========================================================================= High Mileage Cars Subset 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 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 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 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 Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 ========================================================================= Log End Time: 2020-12-21 14:18:33 Log Elapsed Time: 0 00:00:00 =========================================================================
Next: tidylog Integration
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