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When the informant object has a number of snippets available (by using info_snippet()) and the strings to use them (by using the info_*() functions and {<snippet_name>} in the text elements), the process of incorporating aspects of the table into the info text can occur by using the incorporate() function. After that, the information will be fully updated (getting the current state of table dimensions, re-rendering the info text, etc.) and we can print the informant object or use the get_informant_report() function to see the information report.

Usage

incorporate(informant)

Arguments

informant

An informant object of class ptblank_informant.

Value

A ptblank_informant object.

Examples

Take the small_table and assign it to changing_table (we'll modify it later):

changing_table <- small_table

changing_table

## # A tibble: 13 × 8
##    date_time           date           a b             c      d e     f    
##    <dttm>              <date>     <int> <chr>     <dbl>  <dbl> <lgl> <chr>
##  1 2016-01-04 11:00:00 2016-01-04     2 1-bcd-345     3  3423. TRUE  high 
##  2 2016-01-04 00:32:00 2016-01-04     3 5-egh-163     8 10000. TRUE  low  
##  3 2016-01-05 13:32:00 2016-01-05     6 8-kdg-938     3  2343. TRUE  high 
##  4 2016-01-06 17:23:00 2016-01-06     2 5-jdo-903    NA  3892. FALSE mid  
##  5 2016-01-09 12:36:00 2016-01-09     8 3-ldm-038     7   284. TRUE  low  
##  6 2016-01-11 06:15:00 2016-01-11     4 2-dhe-923     4  3291. TRUE  mid  
##  7 2016-01-15 18:46:00 2016-01-15     7 1-knw-093     3   843. TRUE  high 
##  8 2016-01-17 11:27:00 2016-01-17     4 5-boe-639     2  1036. FALSE low  
##  9 2016-01-20 04:30:00 2016-01-20     3 5-bce-642     9   838. FALSE high 
## 10 2016-01-20 04:30:00 2016-01-20     3 5-bce-642     9   838. FALSE high 
## 11 2016-01-26 20:07:00 2016-01-26     4 2-dmx-010     7   834. TRUE  low  
## 12 2016-01-28 02:51:00 2016-01-28     2 7-dmx-010     8   108. FALSE low  
## 13 2016-01-30 11:23:00 2016-01-30     1 3-dka-303    NA  2230. TRUE  high

Use create_informant() to generate an informant object with changing_table given to the tbl argument with a leading ~ (ensures that the table will be fetched each time it is needed, instead of being statically stored in the object). We'll add two snippets with info_snippet(), add information with the info_columns() and info_section() functions and then use incorporate() to work the snippets into the info text.

informant <- 
  create_informant(
    tbl = ~ changing_table,
    tbl_name = "changing_table",
    label = "`informant()` example"
  ) %>%
  info_snippet(
    snippet_name = "row_count",
    fn = ~ . %>% nrow()
  ) %>%
  info_snippet(
    snippet_name = "col_count",
    fn = ~ . %>% ncol()
  ) %>%
  info_columns(
    columns = vars(a),
    info = "In the range of 1 to 10. ((SIMPLE))"
  ) %>%
  info_columns(
    columns = starts_with("date"),
    info = "Time-based values (e.g., `Sys.time()`)."
  ) %>%
  info_columns(
    columns = "date",
    info = "The date part of `date_time`. ((CALC))"
  ) %>%
  info_section(
    section_name = "rows",
    row_count = "There are {row_count} rows available."
  ) %>%
  incorporate()

We can print the resulting object to see the information report.

informant

Let's modify test_table to give it more rows and an extra column.

changing_table <- 
  dplyr::bind_rows(changing_table, changing_table) %>%
  dplyr::mutate(h = a + c)

Using incorporate() will cause the snippets to be reprocessed and accordingly the content of the report will be updated to keep up with the current state of the changing_table.

informant <- informant %>% incorporate()

When printed again, we'll also see that the row and column counts in the header have been updated to reflect the new dimensions of the target table. Furthermore, the info text in the ROWS section has updated text ("There are 26 rows available.").

informant

Function ID

7-1

See also

Other Incorporate and Report: get_informant_report()