Formats R objects with pander

Formats R objects with pander

Usage

formatter_pander(
  x,
  ...,
  .logcall = sys.call(),
  .topcall = sys.call(-1),
  .topenv = parent.frame()
)

Arguments

x

object to be logged

...

optional parameters passed to pander

.logcall

the logging call being evaluated (useful in formatters and layouts when you want to have access to the raw, unevaluated R expression)

.topcall

R expression from which the logging function was called (useful in formatters and layouts to extract the calling function's name or arguments)

.topenv

original frame of the .topcall calling function where the formatter function will be evaluated and that is used to look up the namespace as well via logger:::top_env_name

Value

character vector

Note

This functionality depends on the pander package.

See also

Other log_formatters: formatter_glue(), formatter_glue_or_sprintf(), formatter_glue_safe(), formatter_json(), formatter_logging(), formatter_paste(), formatter_sprintf()

Examples

log_formatter(formatter_pander)
log_info("42")
#> INFO [2024-10-21 07:31:15] 42
log_info(42)
#> INFO [2024-10-21 07:31:15] _42_
log_info(4 + 2)
#> INFO [2024-10-21 07:31:15] _6_
log_info(head(iris))
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15] -------------------------------------------------------------------
#> INFO [2024-10-21 07:31:15]  Sepal.Length   Sepal.Width   Petal.Length   Petal.Width   Species 
#> INFO [2024-10-21 07:31:15] -------------- ------------- -------------- ------------- ---------
#> INFO [2024-10-21 07:31:15]      5.1            3.5           1.4            0.2       setosa  
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15]      4.9             3            1.4            0.2       setosa  
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15]      4.7            3.2           1.3            0.2       setosa  
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15]      4.6            3.1           1.5            0.2       setosa  
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15]       5             3.6           1.4            0.2       setosa  
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15]      5.4            3.9           1.7            0.4       setosa  
#> INFO [2024-10-21 07:31:15] -------------------------------------------------------------------
#> INFO [2024-10-21 07:31:15] 
log_info(head(iris), style = "simple")
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15]  Sepal.Length   Sepal.Width   Petal.Length   Petal.Width   Species 
#> INFO [2024-10-21 07:31:15] -------------- ------------- -------------- ------------- ---------
#> INFO [2024-10-21 07:31:15]      5.1            3.5           1.4            0.2       setosa  
#> INFO [2024-10-21 07:31:15]      4.9             3            1.4            0.2       setosa  
#> INFO [2024-10-21 07:31:15]      4.7            3.2           1.3            0.2       setosa  
#> INFO [2024-10-21 07:31:15]      4.6            3.1           1.5            0.2       setosa  
#> INFO [2024-10-21 07:31:15]       5             3.6           1.4            0.2       setosa  
#> INFO [2024-10-21 07:31:15]      5.4            3.9           1.7            0.4       setosa  
#> INFO [2024-10-21 07:31:15] 
log_info(lm(hp ~ wt, mtcars))
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15] ----------------------------------------------------------------
#> INFO [2024-10-21 07:31:15]               Estimate   Std. Error   t value    Pr(>|t|)  
#> INFO [2024-10-21 07:31:15] ----------------- ---------- ------------ ---------- -----------
#> INFO [2024-10-21 07:31:15]  **(Intercept)**    -1.821      32.32      -0.05633    0.9555   
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15]      **wt**         46.16       9.625       4.796     4.146e-05 
#> INFO [2024-10-21 07:31:15] ----------------------------------------------------------------
#> INFO [2024-10-21 07:31:15] 
#> INFO [2024-10-21 07:31:15] Table: Fitting linear model: hp ~ wt
#> INFO [2024-10-21 07:31:15]